IEEE Big Data B

1148 papers

YearTitle / Authors
2024(Vision paper) The effect of cognitive ability on sender behavior in dictator and ultimatum game experiments.
Tetsuya Kawamura, Kazuhito Ogawa
20242FWL-SIRGN: A Scalable Structural 2-dimensional Folklore Weisfeiler Lehman Graph Representation Learning Approach Via Structural Graph Partitioning.
Justin Carpenter, Edoardo Serra
20243-D land use index: Vertical land use analysis based on multi-dimensional geospatial data cube.
Jiyoung Kim, Hyojoong Kim
2024A Beam-Search Based Method to Select Classification and Imputation Methods for Fair and Accurate Data Analysis.
Dodavah Mowoh, Zhiyuan Chen
2024A Bloom Filter Hierarchy for Non-key Search in Key-Value Stores.
Wojciech Macyna, Carlos Ordonez
2024A Cloud-Based Key Rolling Technique for Alleviating Join Procedure Replay Attacks in LoRaWAN-based Wireless Sensor Networks.
Dimitra Papatsaroucha, Nikolaos Astyrakakis, Evangelos Pallis, Panagiotis I. Radoglou-Grammatikis, Panagiotis G. Sarigiannidis, Evangelos K. Markakis
2024A Cloud-Native Approach to Hospital Price Transparency: Leveraging AWS for Scalable Data Processing and Presentation.
Abdikani Ahmed, Catherine P. Jayapandian
2024A Comparative Analysis between AI Generated Code and Human Written Code: A Preliminary Study.
Abhi Patel, Kazi Zakia Sultana, Bharath K. Samanthula
2024A Comparative Analysis on Leveraging K-Nearest Neighbours for Accurate Stock Price Forecasting.
Fatih Kihtir, Kasim Oztoprak
2024A Comparative Study of Large Language Models for Named Entity Recognition in the Legal Domain.
Tobias Deußer, Cong Zhao, Lorenz Sparrenberg, Daniel Uedelhoven, Armin Berger, Maren Pielka, Lars Hillebrand, Christian Bauckhage, Rafet Sifa
2024A Comparative Study on Key Generation in Wireless Sensor Networks.
Ahmet Oztoprak, Reza Hassanpour, Aysegul Ozkan, Kasim Oztoprak
2024A Comprehensive Forecasting Framework based on Multi-Stage Hierarchical Forecasting Reconciliation and Adjustment.
Zhengchao Yang, Mithun Ghosh, Anish Saha, Dong Xu, Konstantin Shmakov, Kuang-Chih Lee
2024A Computational Review of the Literature of Computational Archival Science (CAS): Advancing Archival Theory in the Age of the Digital Tsunami and the Vanishing Box Problem.
Jennifer Proctor, Richard Marciano
2024A Confidence-Based Power-Efficient Framework for Sleep Stage Classification on Consumer Wearables.
Hsu-Chao Lai, Po-Hsiang Fang, Yi-Ting Wu, Lo Pang-Yun Ting, Kun-Ta Chuang
2024A Data-Driven Approach for Automated Multi-Site Competitive Facility Location.
Minghui Tan, Kar Way Tan, Hoong Chuin Lau
2024A Decision Support System to Compile Environmental Mitigations from Hydropower Licensing Documents.
Hong-Jun Yoon, Tom Ruggles, Huanhuan Zhao, Debjani Singh
2024A Deep Dive into Vector Stores: Classifying the Backbone of Retrieval-Augmented Generation.
Richard Shan
2024A Deep Learning Approach to Maximizing Electrostatic Sieve Efficiency in Regolith Beneficiation.
Kalpit M. Vadnerkar, Emmanuela Amen Eze, Rinoj Gautam, Daoru Han, Xin Liang, Tong Shu
2024A Defense Mechanism Against LOKI Attacks in Federated Learning for Enhancing Big Data Privacy in Mobile Systems.
Faria Nawshin, Devrim Unal, Ponnuthurai N. Suganthan
2024A Domain-Agnostic Neurosymbolic Approach for Big Social Data Analysis: Evaluating Mental Health Sentiment on Social Media during COVID-19.
Vedant Khandelwal, Manas Gaur, Ugur Kursuncu, Valerie L. Shalin, Amit P. Sheth
2024A Dual-Approach Framework for Enhancing Network Traffic Analysis (DAFENTA): Leveraging NumeroLogic LLM Embeddings and Transformer Models for Intrusion Detection.
Ning Yu, Liam Davies, Wei Zhong
2024A Federated Mining Framework for Complete Erasable Itemsets.
Tzung-Pei Hong, Meng-Jui Kuo, Chun-Hao Chen, Katherine Shu-Min Li
2024A Feedback-based Decision-Making Mechanism for Actor-Critic Deep Reinforcement Learning.
Guang Yang, Ziye Geng, Jiahe Li, Yanxiao Zhao, Sherif Abdelwahed, Changqing Luo
2024A Framework for Compressing Unstructured Scientific Data via Serialization.
Viktor Reshniak, Qian Gong, Rick Archibald, Scott Klasky, Norbert Podhorszki
2024A Full-History Network Dataset for BTC Asset Decentralization Profiling.
Ling Cheng, Qian Shao, Fengzhu Zeng, Feida Zhu
2024A Generalized Outage Prediction Model for Various Types of Extreme Climate Events in Texas.
Jangjae Lee, Sangkeun Matthew Lee, Stephanie German Paal, Supriya Chinthavali
2024A Graph-Based Representation of Wastewater Maps.
Ikram El Miqdadi, Fatima Abouzid, Salem Benferhat, Nanée Chahinian, Carole Delenne
2024A Green Learning Approach to Efficient Image Demosaicking.
Mahtab Movahhedrad, Zijing Chen, C.-C. Jay Kuo
2024A Herd of Young Mastodonts: the User-Centered Footprints of Newcomers After Twitter Acquisition.
Francesco Di Cursi, Chiara Boldrini, Andrea Passarella, Marco Conti
2024A Hybrid Approach for Privilege Document Review: Rule-Based and Machine Learning.
Jingchao Yang, Adam Dabrowski, Robert Neary, Nathaniel Huber-Fliflet
2024A Hybrid Approach to Group-By and Aggregation Query Execution.
Gaurav Vaghasiya, Shiva Jahangiri
2024A Hybrid Model Based on Graph Convolutional Network and Multi-head Transformer for Joint Multiple Intent Detection and Slot Filling.
Dongsheng Li, Kun Niu, Xiao Chen, Zhihai Wang
2024A Knowledge Graph Framework for Organizing Heterogeneous Datasets for Utilization in Classical and Quantum Computing: Current Challenges and Future Directions.
Thilanka Munasinghe, Kimberly A. Cornell, Jennifer C. Wei, George Berg, James A. Hendler
2024A LSTM with Dual-stage Attention Method to Predict Amine Emissions for Carbon Dioxide Capture and Storage.
Sai Rajesh Rapelli, Zhiyuan Chen, Wei Lu
2024A Large Language Model-based Fake News Detection Framework with RAG Fact-Checking.
Yangxiao Bai, Kaiqun Fu
2024A Lightweight Edge-CNN-Transformer Model for Detecting Coordinated Cyber and Digital Twin Attacks in Cooperative Smart Farming.
Lopamudra Praharaj, Deepti Gupta, Maanak Gupta
2024A Methodology for Analysing Code Anomalies in Open-Source Software Using Big Data Analytics.
Jimmy Campbell
2024A Model for Data Processing on Warehouse-Scale Computers.
Kevin Exton, Maria Read
2024A Monte Carlo Tree Search for Budget-Constrained Combinatorial Optimal Facility Investment Problem with a Blackbox Objective Function.
Shoma Nameki, Atsuyoshi Nakamura, Yusuke Yasugahira, Hiroshi Uchigaito, Michiaki Hiramatsu, Takashi Takemoto
2024A Multi-Modal Transformer Architecture Combining Sentiment Dynamics, Temporal Market Data, and Macroeconomic Indicators for Sturdy Stock Return Forecasting.
Abhishek Joshi, Jahnavi Krishna Koda, Ismail Alihan Hadimlioglu
2024A Multi-Scale Collaborative Fusion Network for Joint Organ and Lesion Segmentation.
Mengxue Zhan, Bo Zhang, Zheng Zhang, Wendong Wang, Zhen Cui, Nanfang Xu
2024A Multimodal Fusion Framework for Bridge Defect Detection with Cross-Verification.
Ravi Datta Rachuri, Duoduo Liao, Samhita Sarikonda, Datha Vaishnavi Kondur
2024A Negative Sample Enhancement Strategy to Improve Contrastive Learning for Unsupervised Sentence Representation.
Hao Li, Chunzhi Xie, Zhoulin Cao, Yan-Li Lee, Jia Liu, Zhisheng Gao
2024A New Perspective for the Study of "Five Thousand Years of Chinese History ": Visual Analysis of Single Text and Time Series Text.
Yiting Pan
2024A Novel Hybrid Architectures for Overcoming Sparse Data in Subscription Product Recommendation Systems.
Jinmo Kang, Sanghyeon Lee, Yeonghwan Jeon, Hyuncheol Jo, Byoung-Ki Jeon
2024A Novel Hybrid CNN-Transformer Framework for Spatiotemporal Prediction of O3.
Sudhir Kumar, Vaneet Kour, Nimisha Jain, Rajiv Misra
2024A Novel Pipeline for Virus Integration Sites Detection in Tumor Genomes Using Deep Learning.
Lorrayya Williams, Vibhuti Gupta
2024A Novel Reverse Random Hyperplane Projection Scheme and Its Effect on Mining Sensor Streams.
Antonios Skevis, George Klioumis, Nikos Giatrakos
2024A Parallel and Asynchronous Approach for Anomaly Detection.
Zineb Ziani, Nahid Emad, Miwako Tsuji, Mitsuhisa Sato, Ahmed Bouaziz
2024A Physics Informed Convolutional Neural Network for Simulating Carbon Nanotube Wires in Infinite Spatial Dimensions and Arbitrary Frequency.
Selma Emekci
2024A Planner for Scalable Tensor Programs.
Tanvir Ahmed Khan, Leonidas Fegaras
2024A Preliminary Study on Dynamic Urban Knowledge Graph Construction using Heterogeneous Spatio-temporal Data.
Ziheng Liu, Yanbo Pang, Yoshihide Sekimoto
2024A Progressive Meta-Algorithm for Large and Seamless Super Resolution Images.
Jayalakshmi Mangalagiri, Aryya Gangopadhyay, David Chapman
2024A Sample-Mixing Unsupervised Domain Adaptation Framework for Object Detection.
Tianchi Lin, Bo Zhang, Wendong Wang
2024A Scalable Game-theoretic Approach to Urban Evacuation Routing and Scheduling.
Kazi Ashik Islam, Da Qi Chen, Madhav V. Marathe, Henning S. Mortveit, Samarth Swarup, Anil Vullikanti
2024A Secure and Privacy-Preserving Framework for Healthcare Data Management Using Deterministic Additive Noise and Differential Privacy in Cloud Environments.
Yousef Alsaud, Danda B. Rawat
2024A Secure and Trustworthy Biometric Data Ecosystem for Cross-border Suspect Identification.
Katerina Kyriakou, Apostolos Apostolaras, Polychronis Velentzas, Georgios Benos, Konstantinos Koutsoukos, Chrysostomos Symvoulidis, Kaitai Liang, Zeshun Shi, Asterios Leonidis, Kyriaki Miniadou, Eleni Veroni, Spyridon Evangelatos, Georgios Th. Papadopoulos, Thanasis Korakis
2024A Semi-Supervised Model for Non-Cellular Elements Segmentation in Microscopy Images of Wood.
Zihao Xu, Peter Nordström, Sina Sheikholeslami, Ahmad Al-Shishtawy, Vladimir Vlassov
2024A Set of Effective Strategies for Optimized Road Damage Detection.
Yinglong Du, Xu Zhao, Bailin He, Bingke Zhu, Shuaihua Zhao, Guibo Zhu, Jinqiao Wang
2024A Statistics-based Feature Generation (SFG) Method: Theory and Applications.
Xinyu Wang, Yixing Wu, Haiyi Li, Vinod K. Mishra, C.-C. Jay Kuo
2024A Study of Data-Path Bugs in PyTorch with a Focus on Memory Issues.
Rubayet Rahman Rongon, Chen Cao, Xuechen Zhang
2024A Study of Foundation Models for Large-scale Time-series Forecasting.
Hongjie Chen, Ryan A. Rossi, Sungchul Kim, Kanak Mahadik, Hoda Eldardiry
2024A Study of PyTorch Bug Patterns and Memory-Related Challenges.
Brian Yu, Rubayet Rahman Rongon, Chen Cao, Xuechen Zhang
2024A Study on Barrier-Free Entrance Object Detection Using Deep Learning in Street View Imagery.
Hyejin Kim, Seula Park, Jiyoung Kim
2024A Survey on Model-heterogeneous Federated Learning: Problems, Methods, and Prospects.
Boyu Fan, Siyang Jiang, Xiang Su, Sasu Tarkoma, Pan Hui
2024A Systematic Literature Review of Decentralized Applications in Web3: Identifying Challenges and Opportunities for Blockchain Developers.
Md. Jobair Hossain Faruk, Pratusha Raya, Md Kamrul Siam, Jerry Q. Cheng, Hossain Shahriar, Alfredo Cuzzocrea, Pablo García Bringas
2024A UAV-Based Digital Twin Framework for Real-Time Monitoring and Risk Assessment of Floating Roof Storage Tanks.
Subhransu Sourav Priyadarshan, Saverio Iacono, Gianni Viardo Vercelli
2024A Unified Language Model Approach for the Semantic Interpretation of Traffic Signs.
Sasha Strelnikoff, Neha Pullabhotla, Jiejun Xu, Alireza Esna Ashari
2024A Utility-Mining-Driven Active Learning Approach for Analyzing Clickstream Sequences.
Danny Yu-Chung Wang, Lars Arne Jordanger, Jerry Chun-Wei Lin
2024A machine-learning pipeline for merging and georeferencing very large archives of historical aerial photographs.
Eugenio Noda, Luna Yue Huang, Trinetta Chong, Shruti Jain, Andreas Madestam, Anna Tompsett, Hannah Druckenmiller, Solomon Hsiang
2024A novel framework for join order selection based on reinforcement and representation learning.
Chang Liu, Amin Kamali, Verena Kantere, Calisto Zuzarte, Vincent Corvinelli
2024A study on phenotype prediction using an artificial intelligence-based data augmentation approach.
Jiho Choi, Sung Woo Byun, Najeong Chae, Ji-Hoon Lim, Taehoon Lim, Hye In Lee, Hwa Seon Shin
2024AAD-LLM: Adaptive Anomaly Detection Using Large Language Models.
Alicia Russell-Gilbert, Alexander Sommers, Andrew Thompson, Logan Cummins, Sudip Mittal, Shahram Rahimi, Maria Seale, Joseph Jabour, Thomas Arnold, Joshua Church
2024AAG: Adversarial Attack Generator for evaluating the robustness of Machine Learning Models against Adversarial Attacks.
Dimitrios Christos Asimopoulos, Panagiotis I. Radoglou-Grammatikis, Thomas Lagkas, Vasileios Argyriou, Ioannis D. Moscholios, Jorgen Cani, Georgios Th. Papadopoulos, Evangelos K. Markakis, Panagiotis G. Sarigiannidis
2024ACFed: Communication-Efficient & Class-Balancing Federated Learning with Adaptive Consensus Dropout & Model Quantization.
Shaif Chowdhury, Aaron Carney, Greg Hamerly, Greg Speegle
2024ACTS: Adaptive Counterfactual Explanations for Time Series Data Using Barycenters.
Pouya Hosseinzadeh, Peiyu Li, Omar Bahri, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi
2024AGO-FT: An adaptive guided oversampling based on fast space division and trustworthy sampling space for imbalanced noisy datasets.
Yi Deng, Min Wu, Yan Ma
2024AI Assisted Workflow for Set-list Preparation with Loops for Live Musicians.
Subhrojyoti Roy Chaudhuri
2024AI Framework to Forecast Medication Usage with ICD-9/10 Code.
Jonathan Li
2024AI Generated Speech Detection Using CNN.
Meriç Demirörs, Toygar Akgün, Ahmet Murat Özbayoglu
2024AI Image-based Systems for Enhancing the Cultural Tourism Experience.
Fiorella Folino, Maria Francesca Foresta, Danilo Maurmo, Tommaso Ruga, Ester Zumpano, Eugenio Vocaturo
2024AI-Driven Genetic Algorithms for Enhanced Numeric Feature Quantization in IoT Device Fingerprinting for Threat Detection.
Ahmet Aksoy, Sundeep Varma
2024AI-Ready Data: Knowledge Extraction from Archival Lab Notebooks.
Joel Pepper, Elizabeth Jones, Xintong Zhao, Jacob Furst, Kyle Langlois, Fernando J. Uribe-Romo, David E. Breen, Jane Greenberg
2024AI-Ready Multimodal Data Pipeline to Enrich Cancer Care.
Rezaur Rashid, Soheil Hashtarkhani, Fekede Asefa Kumsa, Lokesh K. Chinthala, Brianna M. White, Janet A Zink, Christopher L. Brett, Robert L. Davis, David L. Schwartz, Arash Shaban-Nejad
2024ALF: An Automated Low-code Flexible Framework for Data Workflows.
Reet Ghosh, Wamika Jha, Mea Wang, Usman Alim
2024ARIM-mdx Data System: Towards a Nationwide Data Platform for Materials Science.
Masatoshi Hanai, Ryo Ishikawa, Mitsuaki Kawamura, Masato Ohnishi, Norio Takenaka, Kou Nakamura, Daiju Matsumura, Seiji Fujikawa, Hiroki Sakamoto, Yukinori Ochiai, Tetsuo Okane, Shin-Ichiro Kuroki, Atsuo Yamada, Toyotaro Suzumura, Kenjiro Taura, Yoshio Mita, Naoya Shibata, Yuichi Ikuhara
2024ASPIRE: A Multi-Agent Framework for Execution-Free Code Analysis and Repair.
Buvaneswari A. Ramanan, Manzoor A. Khan, Abhinav Rao
2024AWEB to Bridge Cybersecurity Attack Patterns and Weaknesses.
Ahnaf Farhan, Moqsadur Rahman, Monika Akbar, Mahmud Shahriar Hossain
2024Abdominal Trauma Detection using Hybrid Quantum Machine Learning.
Md Majedul Islam, Jing Selena He
2024About Granular Rough Computing: Concept-Dependent Granulation Powered by Map Reduce.
Radoslaw Cybulski
2024Accelerating Graph Query Languages for Machine Learning and Retrieval Augmented Generation.
Alexandria Barghi
2024Accounting for Cancer Patients with Severe Outcomes: An Anomaly Detection Perspective.
Yang Yan, Christopher Lominska, Gregory N. Gan, Hao Gao, Zhong Chen
2024Accounting for Traffic Congestion: Heterogeneous Target Arrival Times, Uncertainty, and Monetary Incentives.
Yu Takenoya, Ayato Kitadai, Nariaki Nishino
2024Accurate Coupled Tensor Factorization with Knowledge Graph.
Seungjoo Lee, Yong-chan Park, U Kang
2024Accurate Stock Movement Prediction via Multi-Scale and Multi-Domain Modeling.
JinGee Kim, Yong-chan Park, Jaemin Hong, U Kang
2024Accurate and Interpretable Radar Quantitative Precipitation Estimation with Symbolic Regression.
Olivia Zhang, Brianna Grissom, Julian Pulido, Kenia Munoz-Ordaz, Jonathan He, Mostafa Cham, Haotong Jing, Weikang Qian, Yixin Wen, Jianwu Wang
2024ActionFusion: Framework of Large Action Model Enablement.
Richard Shan, Tony Shan
2024Active Learning for Practical Misinformation Classification in Social Media: a Case Study on COVID-19.
Han Kyul Kim, Andy Skumanich
2024Active Learning with Alternating Acquisition Functions: Balancing the Exploration-Exploitation Dilemma.
Cédric Jung, Shirin Salehi, Anke Schmeink
2024Adaptive Benchmarking for Data System using LLMs.
Mohamed Khalefa
2024Adaptive Ensemble Imputation for Trip Data using Deep Reinforcement Learning (AEI-DRL).
Ankit Sharma, Akhash Vellandurai, Thiruvengadam Samon, Vinoth Kumar, Manikandan Ravikiran
2024Adaptive Hierarchical GHSOM with Federated Learning for Context-Aware Anomaly Detection in IoT Networks.
Lulwah Alkulaib
2024Adaptive Neighborhood Sampling and KAN-Based Edge Features for Enhanced Fraud Detection.
Subbareddy Batreddy, Giridhar Pamisetty, Manish Kothuri, Priya Verma, Ch. Sobhan Babu
2024Adaptive Signal Analysis for Automated Subsurface Defect Detection Using Impact Echo in Concrete Slabs.
Deepthi Pavurala, Duoduo Liao, Chaithra Reddy Pasunuru
2024Addressing Spend Leakage and Optimization of Cloud Costs.
Uday Chandra Bhookya, Kunal Jethuri, Sanjeeva Rayudu Ravuru, Priyadarshi, Maitreya Natu
2024Addressing data scarcity in local photovoltaic datasets: a GAN-based workflow.
Federico Izzi, Cristian Martella, Antonella Longo
2024Adopting Trustworthy AI for Sleep Disorder Prediction: Deep Time Series Analysis with Temporal Attention Mechanism and Counterfactual Explanations.
Pegah Ahadian, Wei Xu, Sherry Wang, Qiang Guan
2024Advanced Deadlock Detection and Resolution in Distributed File Systems Using AI and Daemon Processes.
Sushanth S. Manakhari, Ajinkya P. Jadhav, Twinkle Paraye, Anurag Gate
2024Advanced machine learning in neuroimaging studies via federated learning.
Sunitha Basodi, Javier Tomas Romero, Sandeep R. Panta, Dylan Martin, Sergey M. Plis, Anand D. Sarwate, Vince D. Calhoun
2024Advancing PM2.5 and NO2 Prediction Accuracy through the ConvTrans Model: A Novel Application of Hybrid Deep Learning Technologies.
Vaneet Kour, Sudhir Kumar, Rajiv Misra, T. N. Singh
2024Advancing Personalized Medicine: A Scalable LLM-based Recommender System for Patient Matching.
Armin Berger, David Berghaus, Ali Hamza Bashir, Lorenz Grigull, Lara Fendrich, Tom Anglim Lagones, Henriette Högl, Gundula Ernst, Ralf Schmidt, David Bascom, Tobias Deußer, Thiago Bell, Max Lübbering, Rafet Sifa
2024Advancing Risk and Quality Assurance: A RAG Chatbot for Improved Regulatory Compliance.
Lars Hillebrand, Armin Berger, Daniel Uedelhoven, David Berghaus, Ulrich Warning, Tim Dilmaghani Khameneh, Bernd Kliem, Thomas Schmid, Rüdiger Loitz, Rafet Sifa
2024Advancing Tabular Data Classification with Graph Neural Networks: A Random Forest Proximity Method.
Soheila Farokhi, Haozhe Chen, Kevin R. Moon, Hamid Karimi
2024Adversarial Explanations for Informed Civilian and Environmental Protection.
Theodora Anastasiou, Ioannis Pastellas, Sophia Karagiorgou
2024Adversarial Reweighting Guided by Wasserstein Distance to Achieve Demographic Parity.
Xuan Zhao, Simone Fabbrizzi, Paula Reyero Lobo, Siamak Ghodsi, Klaus Broelemann, Steffen Staab, Gjergji Kasneci
2024Adversarial Training of Retrieval Augmented Generation to Generate Believable Fake News.
Sonali Singh, Akbar Siami Namin
2024Adversarially Exploring Vulnerabilities in LLMs to Evaluate Social Biases.
Yuya Jeremy Ong, Jay Pankaj Gala, Sungeun An, Robert J. Moore, Divyesh Jadav
2024Agentic AI for Improving Precision in Identifying Contributions to Sustainable Development Goals.
William A. Ingram, Bipasha Banerjee, Edward A. Fox
2024Agentic Large Language Models for Generating Large-Scale Urban Daily Activity Patterns.
Yurong Zhang, Kunyi Zhang, Yanbo Pang, Yoshihide Sekimoto
2024AgroXAI: Explainable AI-Driven Crop Recommendation System for Agriculture 4.0.
Özlem Turgut, Ibrahim Kök, Suat Özdemir
2024Algorithmic Lending Bias: Evaluating the Fairness of Historical Redlining in Loan Approvals.
Kuber Sarwal, Sheikh Rabiul Islam
2024Aligning Knowledge Graphs Provided by Humans and Generated by Neural Networks.
Tangrui Li, Jun Zhou, Hongzheng Wang
2024Aligning the Representation of Knowledge Graph and Large Language Model for Causal Question Answering.
Zefan Zeng, Qing Cheng, Xingchen Hu, Zhong Liu, Jingke Shen, Yahao Zhang
2024Alternative Methods to SHAP Derived from Properties of Kernels: A Note on Theoretical Analysis.
Kazuhiro Hiraki, Shinichi Ishihara, Junnosuke Shino
2024An AI-Driven Architecture for Precision Agriculture: IoT, Machine Learning, and Digital Twin Integration for Sustainable Crop Protection.
Gianni Costa, Agostino Forestiero, Antonio Francesco Gentile, Davide Macrì, Riccardo Ortale, Bruno Bernardi, Emanuele Cerruto
2024An Active Learning-Based Streaming Pipeline for Reduced Data Training of Structure Finding Models in Neutron Diffractometry.
Tianle Wang, Jorge Ramirez, Cristina Garcia-Cardona, Thomas Proffen, Shantenu Jha, Sudip K. Seal
2024An Advanced Liver Disease Detection Tool with a Stacking-Ensemble-based Machine Learning Approach.
Md. Shazzad Hossain Shaon, Md. Fahim Sultan, Tasmin Karim, Alfredo Cuzzocrea, Mst. Shapna Akter
2024An Agentic AI-based Multi-Agent Framework for Recommender Systems.
Ivens Da Silva Portugal, Paulo S. C. Alencar, Donald D. Cowan
2024An Analysis of the Relationship between Online Social Capital and Social Media Experiences.
Shigenori Ohashi, Noritaka Maeda, Jay Kishigami
2024An Efficient Modeling Approach for Nurse Rostering Problem: Use Case.
Walid Abdelaidoum, Mohamed A. Madani, Larbi Boubchir, Boubaker Daachi
2024An Efficient Single-pass Online Computation of Higher-Order Bivariate Statistics.
Ilya Stupakov, Anton Kochepasov
2024An Empirical Study on the Power Consumption of LLMs with Different GPU Platforms.
Zhen Chen, Weiran Lin, Xinyu Xie, Yaodong Hu, Chao Li, Qiaojuan Tong, Yinjun Wu, Shuangshou Li
2024An Ethical Reflection Aid for Responsible AI in Computational Archival Science.
Sara Mannheimer, Jason A. Clark, Scott W. H. Young, Bonnie Sheehey, Natalie Bond, Doralyn Rossmann, Hannah Scates Kettler, Yasmeen Shorish
2024An Evaluation of Large Language Models in Financial Sentiment Analysis.
Alphaeus Dmonte, Eunmi Ko, Marcos Zampieri
2024An Explainable AI Data Pipeline for Multi-Level Survival Prediction of Breast Cancer Patients Using Electronic Medical Records and Social Determinants of Health Data.
Soheil Hashtarkhani, Shelley White-Means, Sam Li, Rezaur Rashid, Fekede Asefa Kumsa, Cindy Lemon, Lluvia Chipman, Jill Dapremont, Brianna White, Arash Shaban-Nejad
2024An Information Reliability Framework for Detecting Misinformation based on Large Language Models.
Venkata Sai Prathyush Turaga, Akbar Siami Namin
2024An Infrared and Visible Image based Low-cost Tool for Metabolic Syndrome Monitoring.
Zihao Wang, Zhengwei Zhai, Tianming Du, Shuai Ye, Tao Jiang, Marcin Grzegorzek, Hongzan Sun, Chen Li
2024An Innovative Big Data Framework for Supporting Multidimensional Risk Analysis and Prediction over Digital Twins.
Alfredo Cuzzocrea, Ismail Benlaredj
2024An Overview of the Data-Loader Landscape: Comparative Performance Analysis.
Iason Ofeidis, Diego Kiedanski, Leandros Tassiulas
2024An explainable framework based on counterfactual explanations for multi-class financial distress prediction of small and medium enterprises.
Renon Ando, Yuji Kawamata, Toshihiko Takeda, Yukihiko Okada
2024An incremental approach for the detection of legend text in digital maps.
Arthur Marzinkowski, Salem Benferhat, Anastasia Paparrizou, Cédric Piette
2024AnVILMEDFORD: Documenting Cloud-Based Analysis Projects Using the MEDFORD Metadata Language.
Benjamin Stubbs, Polina Shpilker, Michael Sayers, Shaun Wallace, Noah M. Daniels, Alva L. Couch
2024Analyzing Deep Learning Techniques in Natural Scene Image Classification.
Athanasios Kanavos, Orestis Papadimitriou, Khalil Al-Hussaeni, Ioannis Karamitsos, Manolis Maragoudakis
2024Analyzing Mass School Shootings in the U.S. from 2019 to 2024 with Machine Learning.
Wei Dai, Rui Zhang, Diya Kafle
2024Analyzing Spatiotemporal Trends and Anomalies in Power Outage Data Across the United States.
Ruhaan Singh
2024Animal-JEPA: Advancing Animal Behavior Studies Through Joint Embedding Predictive Architecture in Video Analysis.
Chengjie Zheng, Tewodros Mulugeta Dagnew, Liuyue Yang, Wei Ding, Shiqian Shen, Changning Wang, Ping Chen
2024Animating the Past: Reconstruct Trilobite via Video Generation.
Xiaoran Wu, Zien Huang, Chonghan Yu
2024Application of Carbon Footprint Clustering by Machine Learning Aids Carbon Emission Reduction in Thrifty Food Plan Optimization.
Derek Jin, Liyuan Liang
2024Applying visual analytics to firearms trafficking trails for the extraction of strategic intelligence.
Emmanouil Adamakis, Eirini Sykianaki, George Margetis, Stavroula Ntoa, Constantine Stephanidis
2024Apptainer-Based Containers for Legacy and Platform Dependent Machine Learning Applications on HPC Systems.
Rajesh Pasupuleti, Ravi Vadapalli, Christopher Mader, Victor J. Milenkovic
2024Archigraphs As A Promising Concept For The Development Of Data And Knowledge Storage Systems.
Artem A. Sukhobokov, Artem A. Vetoshkin, Alexandra R. Mironova, Anna C. Zenger, Vitaly Baklikov
2024Are Existing Large Language Models Robust Against Jailbreak Attacks?
Baha Rababah, Shang Tommy Wu, Matthew Kwiatkowski, Carson K. Leung, Cuneyt Gurcan Akcora
2024Assessing Empathy in Large Language Models with Real-World Physician-Patient Interactions.
Man Luo, Christopher J. Warren, Lu Cheng, Haidar M. Abdul-Muhsin, Imon Banerjee
2024Assessing Membership Inference Attacks under Distribution Shifts.
Yichuan Shi, Olivera Kotevska, Viktor Reshniak, Amir Sadovnik
2024Assessing Predictive Models for Energy Consumption Across Varied Software Environments.
Tong Zhang, Sarwat Islam Dipanzan, Leila Tahmooresnejad, Naser Ezzati-Jivan
2024Assessment of Quantum ML Applicability for Climate Actions: Comparison of the Variational Quantum Classifier and the Quantum Support Vector Classifier with Classical ML Models.
Thilanka Munasinghe, Phung Lai, Jennifer C. Wei, James A. Hendler, Kimberly A. Cornell
2024At Risk Population Estimates for Belarus, Poland and Slovakia with Machine Learning.
Viswadeep Lebakula, Clinton Stipek, Daniel S. Adams, Justin Epting, Marie L. Urban
2024Attention Based Machine Learning Methods for Data Reduction with Guaranteed Error Bounds.
Xiao Li, Jaemoon Lee, Anand Rangarajan, Sanjay Ranka
2024AttentionXML VS LLMs: An Empirical Evaluation of Extreme Multi-Label Classification Techniques.
Bhargav Solanki, Natalia Ostapuk, Ljiljana Dolamic, Alain Mermoud, Philippe Cudré-Mauroux
2024AutoRed: Automated Attack Scenario Generation Framework for Red Teaming of LLMs.
Zhe Wang, Mohammad A. Tayebi
2024Automated Estimation of Left Myocardial Strain from Cine CTA: A Comparison with Cine MRI.
An-Yu Sun, Li-Yueh Hsu, Lin-Ching Chang, W. Patricia Bandettini, Marcus Y. Chen
2024Automated Exploratory Clustering.
Georg Stefan Schlake, Max Pernklau, Christian Beecks
2024Automated Interpretation of Non-Destructive Evaluation Contour Maps Using Large Language Models for Bridge Condition Assessment.
Viraj Nishesh Darji, Callie C. Liao, Duoduo Liao
2024Automated Knowledge Framework for IoT Cybersecurity Compliance.
Ikechukwu Oranekwu, Lavanya Elluri, Gunjan Batra
2024Automated Polynomial Filter Learning for Graph Neural Networks.
Wendi Yu, Zhichao Hou, Xiaorui Liu
2024Automated Synthesis of Distributed Code from Sequential Snippets Using Deep Learning.
Arun Sanjel, Bikram Khanal, Pablo Rivas, Greg Speegle
2024Automatic Prompt Generation and Optimization by Leveraging Large Language Models to Enhance Few-Shot Learning in Biomedical Tasks.
Yiwen Shi, Xiaohua Hu
2024Automatic sleep stage classification for sleep apnea patients using an in-home sleep electroencephalography device.
Saki Tsumoto, Jaehoon Seol, Kazumasa Horie, Fusae Kawana, Morie Tominaga, Shigeru Chiba, Hideaki Kondo, Hiroyuki Yoshimine, Masaki Matsubara, Atsuyuki Morishima, Masashi Yanagisawa, Hiroyuki Kitagawa
2024Automating Chapter-Level Classification for Electronic Theses and Dissertations.
Bipasha Banerjee, William A. Ingram, Edward A. Fox
2024Automating Data Science Pipelines with Tensor Completion.
Shaan Pakala, Bryce Graw, Dawon Ahn, Tam Dinh, Mehnaz Tabassum Mahin, Vassilis J. Tsotras, Jia Chen, Evangelos E. Papalexakis
2024Aviator: A MITRE Emulation Plan-Derived Living Dataset for Advanced Persistent Threat Detection and Investigation.
Qi Liu, Kaibin Bao, Veit Hagenmeyer
2024BERT-Based Semantic Relations Extraction from Large-scale Medical Datasets.
Aya Hammami, Sana Ben Abdallah Ben Lamine, Hajer Baazaoui
2024BERT-MLTKE: A Multi-task Deep Learning Framework for Keyphrase Extraction in Social Media.
Dingming Xue, Yang Ding, Kaira Sekiguchi, Yukio Ohsawa
2024BanglaDialecto: An End-to-End AI-Powered Regional Speech Standardization.
Md. Nazmus Sadat Samin, Jawad Ibn Ahad, Tanjila Ahmed Medha, Fuad Rahman, Mohammad Ruhul Amin, Nabeel Mohammed, Shafin Rahman
2024Benchmarking Human and Automated Prompting in the Segment Anything Model.
Jorge Quesada, Zoe Fowler, Mohammad Alotaibi, Mohit Prabhushankar, Ghassan AlRegib
2024Benchmarking of Different YOLO Models for CAPTCHAs Detection and Classification.
Mikolaj Wysocki, Henryk Gierszal, Piotr Tyczka, George Pantelis, Sophia Karagiorgou
2024Beyond Essentials: Nuanced and Diverse Text-to-video Retrieval.
Yuchen Yang
2024Beyond Human Vision: The Role of Large Vision Language Models in Microscope Image Analysis.
Prateek Verma, Minh-Hao Van, Xintao Wu
2024Beyond Quantile Methods: Improved Top-K Threshold Estimation for Traditional and Learned Sparse Indexes.
Jinrui Gou, Yifan Liu, Minghao Shao, Torsten Suel
2024Beyond the Bar: Generative AI as a Transformative Component in Legal Document Review.
Eugene Yang, Roshanak Omrani, Evan Curtin, Tara Emory, Lenora Gray, Jeremy Pickens, Nathan Reff, Cristin Traylor, Sean Underwood, David D. Lewis, Aron J. Ahmadia
2024Bias and Generalizability Challenges in Machine Learning Models for Leptospirosis.
Arya Jadhav, Suhila Sawesi, Bushra Rashrash
2024Big Data Decision-Making and Racial Disparities: A Case Study Among COVID-19 Inpatient Visits.
Atefehsadat Haghighathoseini, Janusz Wojtusiak, Nirup M. Menon, Hua Min, Cara Frankenfeld, Timothy Leslie
2024Big Data-Driven Computational Aptamer Design Framework via Parallel Monte Carlo Tree Search.
Jinglin Jian, Zhiheng Jiao, Zihan Li, Jin Chen
2024Big Data-Driven Long Term Accurate CO2 Emission Forecasting Using Advanced Recurrent Neural Networks.
Anil Verma, Lalit Chandra Routhu, Rishikant Chigrupaatii, Anurag Choubey, Rajiv Misra, T. N. Singh
2024Big data analytic of US Medicare Claims of healthcare service informatics and billing fraud.
Maya El-Lanky, Dillon Chrimes
2024Bilinear Attention Based Learning on Graphs.
Adrien Njanko, Danda B. Rawat
2024Biometric Authentication via Electrocardiogram Traces.
Naomi Argaw, Diwas Pandey, Scott Wallace
2024BlinkPass: A Means of Securely Accessing Social Networks.
Prasuna Pulivendula, Goutham Reddy Alavalapati, Raveendra Babu Ponnuru, Vanga Odelu
2024Blockchain method for preventing fake image publication.
Janusz Bobulski, Mariusz Kubanek
2024Blockchain-Enhanced Framework for Secure Third-Party Vendor Risk Management and Vigilant Security Controls.
Deepti Gupta, Lavanya Elluri, Avi Jain, Shafika Showkat Moni, Ömer Aslan
2024Boosting Agricultural Diagnostics: Cassava Disease Detection with Transfer Learning and Explainable AI.
Danilo Maurmo, Marco Gagliardi, Tommaso Ruga, Ester Zumpano, Eugenio Vocaturo
2024Boosting Federated Learning with Diffusion Models for Non-IID and Imbalanced Data.
Maximilian Andreas Hoefler, Tatsiana Mazouka, Karsten Mueller, Wojciech Samek
2024Boosting Skin Cancer Detection Accuracy: A Hierarchical Ensemble Approach with Feature Fusion.
Srinivasa Kranthi Kiran Kolachina, Ruth Agada, Jie Yan
2024Boosting Time Series Prediction of Extreme Events by Reweighting and Fine-tuning.
Jimeng Shi, Azam Shirali, Giri Narasimhan
2024Building Multi-Agent Copilot towards Autonomous Agricultural Data Management and Analysis.
Yu Pan, Jianxin Sun, Hongfeng Yu, Joe Luck, Geng Bai, Nipuna Chamara, Yufeng Ge, Tala Awada
2024CART-OD: Optimizing Object Detection Models via Correlation-Aware Prediction.
Utsab Khakurel, Danda B. Rawat, Adrienne Raglin, Anjon Basak
2024CATS: Contrastive learning for Anomaly detection in Time Series.
Joël Roman Ky, Bertrand Mathieu, Abdelkader Lahmadi, Raouf Boutaba
2024CBCMS: A Compliance Management System for Cross-Border Data Transfer.
Zhixian Zhuang, Xiaodong Lee, Jiuqi Wei, Yufan Fu, Aiyao Zhang
2024CEASEFIRE: An AI-Powered System for Combating Illicit Firearms Trafficking.
Jorgen Cani, Ioannis Mademlis, Marina Mancuso, Caterina Paternoster, Emmanouil Adamakis, George Margetis, Sylvie Chambon, Alain Crouzil, Loubna Lechelek, Georgia Dede, Spyridon Evangelatos, George Lalas, Franck Mignet, Pantelis Linardatos, Konstantinos Kentrotis, Henryk Gierszal, Piotr Tyczka, Sophia Karagiorgou, George Pantelis, Georgios Stavropoulos, Konstantinos Votis, Georgios Th. Papadopoulos
2024CIA-EBE: Class Imbalance-Aware Event-Based Embedding for SOC Log Screening.
Samuel Ndichu, Tao Ban, Takeshi Takahashi, Takahiro Kasama
2024COCALITE: A Hybrid Model COmbining CAtch22 and LITE for Time Series Classification.
Oumaima Badi, Maxime Devanne, Ali Ismail-Fawaz, Javidan Abdullayev, Vincent Lemaire, Stefano Berretti, Jonathan Weber, Germain Forestier
2024CORSAIR: A Framework for Human Mobility Prediction through Visit Characterization and Spatial Behavior Modeling.
Licia Amichi, Gautam Malviya Thakur, Carter Christopher
2024COVID-19 Mobility Restrictions and Post-Pandemic Work from Home.
Colin Berry
2024CRTRE: Causal Rule Generation with Target Trial Emulation Framework.
Junda Wang, Weijian Li, Han Wang, Hanjia Lyu, Caroline Thirukumaran, Addisu Mesfin, Hong Yu, Jiebo Luo
2024CUBAN: Leveraging Semantic Comparables to Predict Financial Metrics Using Textual Descriptions of Companies.
Siwoo Bae, David Hyde
2024CacheIt: Application-Agnostic Dynamic Caching for Big Data Analytics.
Dat Nguyen, Muhammad Rafid, Nathanael Santoso, Khanh Nguyen
2024Calibrating Practical Privacy Risks for Differentially Private Machine Learning.
Yuechun Gu, Keke Chen
2024Can Causal DAGs Generate Data-based Explanations of Black-box Models?
Arman Ashkari, El Kindi Rezig
2024Can Deep Learning Do Everything in AI? An Exploration of Simple Examples in Image Segmentation.
Li Chen
2024Can GPT-4 Think Computationally about Digital Archival Tasks? - Part 2.
William Underwood, Joan Gage
2024Can Generative AI Uncover Hidden Patterns in Historical Domestic Traffic Ads Through Data Analysis? A ChatLoS-DTA Exploration.
Mariia Vetluzhskikh, Rajesh Kumar Gnanasekaran, Richard Marciano
2024Can a Large Language Model Learn Matrix Functions In Context?
Paimon Goulart, Evangelos E. Papalexakis
2024CanDE: A Lightweight Locality-Sensitive Hashing Add-on for Candidate-Based Distribution Estimation.
Jingfan Meng, Huayi Wang, Kexin Rong, Jun Xu
2024Capturing Infrastructure Interdependencies for Power Outages Prediction During Extreme Events.
Sangkeun Matthew Lee, Avishek Bose, Narayan Bhusal, Supriya Chinthavali
2024Categorization of Data Analytics Projects in Smart Manufacturing.
Matthias Pohl, Christian Haertel, Daniel Staegemann, Klaus Turowski
2024Causal Tracing to Identify Hacking Knowledge in Large Language Models.
Ryan Marinelli
2024Causally Informed Factorization Machines.
Mao-Lin Li, K. Selçuk Candan, Maria Luisa Sapino
2024Challenges and Future Directions in Similarity Assessment of Big Data Analytics Workloads.
Dominik Scheinert, Alexander Guttenberger, Jonathan Will, Odej Kao
2024Challenging Fairness: A Comprehensive Exploration of Bias in LLM-Based Recommendations.
Shahnewaz Karim Sakib, Anindya Bijoy Das
2024ClaimBrush: A Novel Framework for Automated Patent Claim Refinement Based on Large Language Models.
Seiya Kawano, Hirofumi Nonaka, Koichiro Yoshino
2024Classifying Upper Extremity Motor Function Using Deep Learning and Third-Person Video Data.
Tan Tran, Lin-Ching Chang, Peter S. Lum
2024Client Specific Dynamic Aggregation for Non-IID Federated Learning.
Vincenzo Altomare, Dipanwita Thakur, Antonella Guzzo, Francesco Piccialli
2024ClinicSum: Utilizing Language Models for Generating Clinical Summaries from Patient-Doctor Conversations.
Subash Neupane, Himanshu Tripathi, Shaswata Mitra, Sean Bozorgzad, Sudip Mittal, Shahram Rahimi, Amin Amirlatifi
2024Closer through commonality: Enhancing hypergraph contrastive learning with shared groups.
Daeyoung Roh, Donghee Han, Daehee Kim, Keejun Han, Mun Yong Yi
2024Clustering MBTI Personalities With Graph Filters And Self Organizing Maps Over Pinecone.
Georgios Drakopoulos, Phivos Mylonas
2024Clustering and Topic Discovery of Multiway Data via Joint-NCMTF.
Benjamin Cobb, Ricardo Velasquez, Richard W. Vuduc, Haesun Park
2024Clustering of Students' Behavior Using the GPT-2 Module Based on the Macroscopic Attention Model.
Wanghu Chen, Qi Fan, Siqi Zeng, Jing Li
2024CoT based Few-Shot Learning of Negative Comments Filtering.
Takashi Mitadera, Takehito Utsuro
2024CoT-Tree: An Efficient Prompting Strategy for Large Language Model Classification Reasoning.
Yajing Wang, Jiazhen Hu, Zongwei Luo
2024CodEv: An Automated Grading Framework Leveraging Large Language Models for Consistent and Constructive Feedback.
En-Qi Tseng, Pei-Cing Huang, Chan Hsu, Peng-Yi Wu, Chan-Tung Ku, Yihuang Kang
2024Code LLMs: A Taxonomy-based Survey.
Nishat Raihan, Christian D. Newman, Marcos Zampieri
2024Collaborating for Change? Assessing Metadata Inclusivity in Digital Collections with Large Language Models (LLMs).
Giulia Osti, Elizabeth Russey Roke
2024Collaborative and Federated Black-box Optimization: A Bayesian Optimization Perspective.
Raed Al Kontar
2024Collaboratively Learning Federated Models from Noisy Decentralized Data.
Haoyuan Li, Mathias Funk, Nezihe Merve Gürel, Aaqib Saeed
2024Combined Correlational Network for Identifying Behavioral Health Cases from First Responder Report.
Mason Pederson, Abm. Adnan Azmee, Francis Nweke, Md Abdullah Al Hafiz Khan, Yong Pei, Dominic Thomas, Monica Nandan
2024Combining Financial Data and News Articles for Stock Price Movement Prediction Using Large Language Models.
Ali Elahi, Fatemeh Taghvaei
2024Combining GCN Attention and Frequency Domain Analysis for 3D Human Pose Estimation.
Yue Li, Bo Zhang, Wendong Wang
2024Commercial Space Classification and Prediction with Machine Learning and Multiple Data Sources: A Case Study of Milan.
Jiabin Wei
2024Common Pitfalls with Data Deduplication Parameters and Metrics.
Luke Schultz, Owen Randall, Paul Lu
2024Communication-Efficient Distributed LLM Training with Adaptive Traffic Control.
Haoying Jin
2024Communication-Efficient Multi-Modal Federated Learning via Dynamic Client-Modality Matching.
Tan Li, Yanming Gong, Hai Liu, Zhen Chen, Linqi Song
2024Community Detection Using An Improved Label Propagation Algorithm.
Peilin Guo, Qian Tang, Jiaqi Guo
2024Comparative Analysis of LLM-Generated Event Timeline Summarization for Legal Investigations.
Qiang Mao, Adam Dabrowski, Fusheng Wei, Eric Olson, Robert Neary, Jingchao Yang, Han Qin, Nathaniel Huber-Fliflet
2024Comparative Evaluation of Causal Discovery and Inference Approaches on Arctic Sea Ice Time Series Data.
Omar Faruque, Xingyan Li, Md. Azim Khan, Homayra Alam, Jianwu Wang
2024Comparative Evaluation of Network-Based and NLP-based Methods for Detecting Conspiracy Theory Communities on YouTube.
Koki Ota, Fujio Toriumi
2024Comparative Study of ML Techniques for Misinformation Detection in War Reporting.
Emily Ebalo, Faryaneh Poursardar
2024Comparing Artificial Intelligence Techniques for Predicting Energy Consumption and Renewable Energy Production.
Behzad Pirouz, Francesca Guerriero
2024Comparing Inexact String Matching Methods for Large Scale Entity Matching.
Davis Spradling, Erik Saule
2024Comparing User Activity on X and Mastodon.
Shiori Hironaka, Mitsuo Yoshida, Kazuyuki Shudo
2024Comparison of CNN and QCNN Performance in Binary Classification of Breast Cancer Histopathological Images.
Taieba Tasnim, Mohammad Rahman, Fan Wu
2024Comprehensive Evaluation of Deep LTSF Models for Forecasting of Air Quality Index.
Rajat Soni, Mohit Nathani, Rajiv Mishra
2024Comprehensive Evaluation of Transformer Models for Complex Information Detection in Unstructured Documents.
Divya Singh, Atsumi Terayama
2024Computational Archival Processes & Assessable Sustainability: Challenges and Opportunities.
Aurèle Nicolet, Basma Makhlouf Shabou
2024Concept-Guided Chain-of-Thought Prompting for Pairwise Comparison Scoring of Texts with Large Language Models.
Patrick Y. Wu, Jonathan Nagler, Joshua A. Tucker, Solomon Messing
2024ConfliLPC: Logits and Parameter Calibration for Political Conflict Analysis in Continual Learning.
Xiaodi Li, Niamat Zawad, Patrick T. Brandt, Javier Osorio, Vito D'Orazio, Latifur Khan
2024Conflict-RAG: Understanding Evolving Conflicts Using Large Language Models.
Jacob Wood, Deepti Joshi
2024Constructing A Human-Centered Dataset for Second Language Acquisition via Large Language Models.
Yunlong Fan, Baixuan Li, Zhiheng Yang, Zhiqiang Gao
2024Construction and Application of the SMART Model for Adaptive Industrial Data Collection Based on Knowledge Graphs.
Wendan Cheng, Zhen Zhang, Heng Qian, Qiuyue Wang, Guanqun Su, Lingge Meng
2024Content-Aware Deep Learning Recommender System.
Qixin Wang, Xintao Wu, Kan Yao, Han Li
2024Context-Aware Diffusion-based Sequential Recommendation.
Di You, Kyumin Lee
2024Context-Aware and User Intent-Aware Follow-Up Question Generation (CA-UIA-QG): Mimicking User Behavior in Multi-Turn Setting.
Shujing Dong, Yuan Ling, Shunyan Luo, Shuyi Wang, Yarong Feng, Zongyi Joe Liu, Hongfei Li, Ayush Goyal, Bruce Ferry
2024Context-Specific Feature Augmentation for Improving Social Determinants of Health Extraction.
Lei Gong, Andrey Shor, Aidong Zhang, Kishlay Jha
2024Context-aware Data Sampling with Reciprocal Nearest Neighbors for Fraud Classification.
Sharath Kumar, Manikandan Ravikiran, Nestor Mariyasagayam
2024Contradictory Ambiguous Revocable Assertion Tracker (CARAT) Encoding.
Joseph A. Cottam, Patrick Mackey, Sumit Purohit, George Chin
2024ConvNLP: Image-based AI Text Detection.
Suriya Prakash Jambunathan, Ashwath Shankarnarayan, Parijat Dube
2024Coordinating Electric Vehicles: Impacts on Mobility-Service and Electricity Markets.
Hiroyasu Ando, Nobuhito Kon, Morimitsu Kurino, Isamu Takahara
2024Copula-based Approaches for Anomaly Detection: a Case-study in Financial Forensics.
Vanessa Tenconi, Damian Andrew Tamburri, Giovanni Ennio Quattrocchi, Corrado Pellegrino, Giuseppe Cascavilla, Willem-Jan van den Heuvel
2024Corporate Governance, Tunneling, and their Predictive Power for CSR and Market Performance: A Machine Learning Approach.
Hyunsu Kim, Sanghee Kim, Yubin Ham, Hyeseo Yoon, JooHee Oh, Seontae Kim
2024Correcting Systematic Bias in LLM-Generated Dialogues Using Big Five Personality Traits.
Lorenz Sparrenberg, Tobias Schneider, Tobias Deußer, Markus Koppenborg, Rafet Sifa
2024Counter Data Paucity through Adversarial Invariance Encoding: A Case Study on Modeling Battery Thermal Runaway.
Anika Tabassum, Srikanth Allu, Ramakrishnan Kannan, Nikhil Muralidhar
2024Creating, Sustaining, and Evaluating Personalized Digital Health Systems.
Scott M. Sittig, M. Sriram Iyengar, Jose F. Florez-Arango, Beenish M. Chaudhry
2024Creating, Using and Assessing a Generative-AI-Based Human-Chatbot-Dialogue Dataset with User-Interaction Learning Capabilities.
Alfredo Cuzzocrea, Giovanni Pilato, Pablo García Bringas
2024Cross-City Building Instance Segmentation: From More Data to Diffusion-Augmentation.
Yi Jie Wong, Yin-Loon Khor, Mau-Luen Tham, Ban-Hoe Kwan, Anissa Mokraoui, Yoong Choon Chang
2024Cross-Modality Validation of Abdominal Fat and Muscle Segmentation: A Comparative Study of Dixon MR and CT Imaging.
Andrew Liu, Andrew Heller, Gregg Cohen, Elizabeth C. Jones, Li-Yueh Hsu
2024Cross-Platform Hate Speech Detection with Weakly Supervised Causal Disentanglement.
Paras Sheth, Tharindu Kumarage, Raha Moraffah, Aman Chadha, Huan Liu
2024CryptoPulse: Short-Term Cryptocurrency Forecasting with Dual-Prediction and Cross-Correlated Market Indicators.
Amit Kumar, Taoran Ji
2024Cryptocurrencies Forensics With Real-Time Intelligence and Graph Database: a Comprehensive Review.
Rodrigue Tonga Naha, Kaiwen Zhang
2024Crystalia: Flexible and Efficient Method for Large Dataset Lineage Tracking.
Vladimir Korolev, Anupam Joshi
2024Custom Accessors: Enabling Scalable Data Ingestion, (Re-)Organization, and Analysis on Distributed Systems.
Vito Giovanni Castellana, Burcu O. Mutlu, Ian Di Dio Lavore, Jesun Firoz, Katherine E. Wolf, Marco Minutoli, John Feo
2024Cyber Threat Intelligence in Smart Cities: Bayesian Inference and Energy Optimization in LoRa Networks for Big Data Applications.
Aristeidis Karras, Leonidas Theodorakopoulos, Christos N. Karras, Hera Antonopoulou
2024DBRepo: A Data Repository System for Research Data in Databases.
Martin Weise, Andreas Rauber
2024DHFM-FLM: A Dynamic Hierarchical Federated Learning Mechanism for Financial Models under Client Resource Heterogeneity.
Kangning Yin, Zhen Ding, Shaoqi Hou, Xinhui Ji, Guangqiang Yin, Zhiguo Wang
2024DIS-Mine: Instance Segmentation for Disaster-Awareness in Poor-Light Condition in Underground Mines.
Mizanur Rahman Jewel, Mohamed Elmahallawy, Sanjay Madria, Samuel Frimpong
2024DIS-Mine: Instance Segmentation for Disaster-Awareness in Poor-Light Condition in Underground Mines.
Mizanur Rahman Jewel, Mohamed Elmahallawy, Sanjay Madria, Samuel Frimpong
2024DISCERN for Generalizable Robotic Contexts.
Swagnik Roychoudhury, Aparna S. Varde
2024DISH4U A Crowd Source App for Guiding Users Towards Healthy Food.
Tuomas Määttä, Eetu Holmi, Mehrdad Rostami, Mourad Oussalah
2024DISTRI: Development and Integration of Simulation Tools for Resilient Infrastructure.
Imtiaz Mahmud, Pawel Zuk, Cong Wang, Mariam Kiran, Kesheng Wu, Komal Thareja, Krishnan Raghavan, Anirban Mandal, Ewa Deelman
2024DIVERSE: A Dataset of YouTube Video Comment Stances with a Data Programming Model.
Iain J. Cruickshank, Lynnette Hui Xian Ng, Amir Soofi
2024DKT: A First Look at Dynamic Kernel Tuning for Pedestrian Attribute Recognition.
Rahul Mishra, Manikandan Ravikiran, Soumen Biswas, Ananth Ganesh
2024DP-TabICL: In-Context Learning with Differentially Private Tabular Data.
Alycia N. Carey, Karuna Bhaila, Kennedy Edemacu, Xintao Wu
2024DRACO: Production Network Deployment and Evaluation of Deceptive Defense As-a-Service.
Mathieu Couillard, Britta Hale
2024DSPOL: A High-Level Language for Defining Data Policies in Data Spaces.
Shunya Taniguchi, Shin Nakajima, Takashi Michikata, Hirotsugu Seike, Noboru Koshizuka
2024DUGET: Leveraging Machine Learning for Dynamic User Grouping and Evolution Tracking in Public Transit Systems.
Tobias Johannesson, Isak Rubensson, Sina Sheikholeslami, Ahmad Al-Shishtawy, Vladimir Vlassov
2024Data Efficient Transformers for Wearable Sensor Analysis in Centralized and Federated Environments.
Jamie McQuire, Paul Watson, Nick Wright, Hugo Hiden, Michael Catt
2024Data Generation for Photovoltaic Systems: Enhancing Accuracy with the Huld Model.
Alì Aghazadeh Ardebili, Andreas Livera, George E. Georghiou, Antonella Longo, Antonio Ficarella
2024Data Imbalance Solutions Using Pseudo-Cluster and Two-Step Classification Methods.
Gawon Lim
2024Data Interpretation Driven by Algebra of Time-Dependent Operators.
Huber Nieto-Chaupis
2024Data Lakehouse for Time Series Data: A Systematic Literature Review.
Matthias Pohl, Nathira Dharindri Wijemanne, Daniel Staegemann, Christian Haertel, Christian Daase, Dirk Dreschel, Damanpreet Singh Walia, Arne Osterthun, Joshua Reibert, Klaus Turowski
2024Data Reliability Enhanced Prediction for Recommendation System: A Case Study on Named Entity Recognition.
Prianka Banik, Lin Li, Xishuang Dong, Lijun Qian
2024Data Workbench For Earth and Atmospheric Science Research Community.
Sujata Goswami, Kyle Dumas, Wade Darnell, Varsile Tudor Garbulet, Michael Giansiracusa, Giri Prakash
2024Data infrastructure for integrating clinical data in the large-scale international ORCHESTRA cohort: from data import to federated analysis.
Miroslav Puskaric, Hammam Abu Attieh, Fabian Prasser, Roy Gusinow, Chiara Dellacasa, Elisa Rossi, Juan Mata Naranjo, Lorenzo Maria Canziani, Anna Górska, Jan Hasenauer
2024Data-Aided Intrusion Detection Systems: Leveraging AI, Blockchain and Digital Twin Technology.
Ohood Alharbi, Riaz Ahmed Shaikh, Rameez Asif
2024Data-Driven Analysis of Climate Change Impacts on Public Health: A Systematic Review and Future Directions.
Sahar Yarmohammadtoosky, Ying Xie
2024Data-Driven Anomaly Detection in Smart-Railways through Self-Adaptation, Process Mining, and Digital Twins.
Francesco Flammini
2024Data-Driven Initial Guess Selection for Numerical Weather Prediction Solvers.
David Millard, Arielle Carr, Stéphane Gaudreault
2024Data-Driven Modeling of Wind Farm Power and Revenue Generation.
Ivan Karp, Chris Qin
2024Data-Driven Optimization of Taxi Parking Spaces for Strategic Demand Alignment.
Bekti Widhy Andhana, Irene Erlyn Wina Rachmawan, Prananda Kamaluddin Rafif, Ferrizal
2024Data-Driven Physics Informed Neural Network of Submarine Hull Shapes for Active Sonar Evasion.
Hannah Cho
2024Data-Driven Socio-Economic Deprivation Prediction via Dimensionality Reduction: The Power of Diffusion Maps.
June Moh Goo
2024Data-Prep-Kit: getting your data ready for LLM application development.
David Wood, Boris Lublinsky, Alexy Roytman, Shivdeep Singh, Constantin Adam, Abdulhamid Adebayo, Sungeun An, Yuan Chi Chang, Xuan-Hong Dang, Nirmit Desai, Michele Dolfi, Hajar Emami-Gohari, Revital Eres, Takuya Goto, Dhiraj Joshi, Yan Koyfman, Mohammad Nassar, Hima Patel, Paramesvaran Selvam, Syed Yousaf Shah, Saptha Surendran, Daiki Tsuzuku, Petros Zerfos, Shahrokh Daijavad
2024Data-driven Synchronization Protocols for Data-parallel Neural Learning over Streaming Data.
George Klioumis, Nikos Giatrakos
2024DataInsight: Big Data Analytics Services.
Helia Hedayati, Saeed Samet
2024Debias-CLR: A Contrastive Learning Based Debiasing Method for Algorithmic Fairness in Healthcare Applications.
Ankita Agarwal, Tanvi Banerjee, William L. Romine, Mia Cajita
2024Decentralized Federated Learning: Model Update Tracking Under Imperfect Information Sharing.
Vishnu Pandi Chellapandi, Antesh Upadhyay, Abolfazl Hashemi, Stanislaw H. Zak
2024Deciphering the contribution of 3D interactions between cis-regulatory elements and promoters to regulate gene expression using graph neural networks.
Yang Chen, Elissa P. Lei
2024Decoding Narratives: Towards a Classification Analysis for Stereotypical Patterns in Italian News Headlines.
Matteo Berta, Salvatore Greco, Giuseppe Tipaldo, Tania Cerquitelli
2024Decoding the Granular Puzzle of Macromolecules: Efficient 3D Protein Structure Alignment in the Age of Big Data with Apache Spark.
Bozena Malysiak-Mrozek, Paulina Pawlowicz, Vaidy S. Sunderam, Che-Lun Hung, Andrzej Kwiecien, Dariusz Mrozek
2024Decomposing Audio into Timbral Features with Convolutional Neural Networks.
Nicole Cosme-Clifford
2024Deep Computer Vision for Solar Physics Big Data: Opportunities and Challenges [Vision Paper].
Bo Shen, Marco Marena, Chenyang Li, Qin Li, Haodi Jiang, Mengnan Du, Jiajun Xu, Haimin Wang
2024Deep Learning Models for Diabetic Retinopathy Detection: A Comparative Study.
Munmi Thakuria, Yong Zhuang
2024Deep Learning Service for Efficient Data Distribution Aware Sorting.
Xiaoke Zhu, Qi Zhang, Wei Zhou, Ling Liu
2024Deep Learning and Machine Learning Models for Scalable Credit Card Default Prediction on Big Data.
Anne Chen, Yulu Qiu
2024Deep Learning for Koopman Operator Estimation in Idealized Atmospheric Dynamics.
David Millard, Arielle Carr, Stéphane Gaudreault
2024Deep Super Resolution Techniques for Remote Sensing Big Data: A Comparative Study.
Rishabh Jain, Ranga Raju Vatsavai
2024Deepfake Detection with Wavelet-Integrated Convolutional Networks.
Supriyo Sadhya, Xiaojun Qi
2024Defending Against Inference and Backdoor Attacks in Vertical Federated Learning via Mutual Information Regularization.
Tianyuan Zou, Yang Liu, Xiaozhou Ye, Ye Ouyang, Ya-Qin Zhang
2024DeltaMask: Minimizing Communication in Federated Fine-Tuning of Vision Foundation Models.
Vasileios Tsouvalas, Yuki M. Asano, Aaqib Saeed
2024Demand Modeling for Advanced Air Mobility.
Kamal Acharya, Mehul Lad, Liang Sun, Houbing Song
2024Deploy-Efficient and Fast Network Probing with Time-Series Foundation Models.
Rasman Mubtasim Swargo, Md. Arifuzzaman
2024Detecting Fake News Spreaders on Social Media Using Posts Content Versus Profile Information.
Ifeoma Adaji, Linda O. Okpanachi
2024Detecting Fraud in a Large Anonymized Voter Registration Dataset.
Nahid Anwar, Amit Jain, Edoardo Serra, Chad Houck
2024Development of KARI-MT-InSAR Tool for Highly-Efficient Surface Deformation Monitoring Using Large-Scale SAR Data.
Seung-Jae Lee, Sung-Ho Chae
2024Development of a Machine Learning Algorithm to Forecast PV Plant Production.
Giovanni Brusco, Daniele Menniti, Giovanni Schinelli, Nicola Sorrentino
2024DifStoryGen: Diffusion-Based Storytelling Algorithm with Distributed Attention.
Alireza P. Nouri, Mahmud Shahriar Hossain
2024DiffGSL: A Graph Structure Learning Diffusion Model for Dynamic Spatio-Temporal Forecasting.
Chanyoung Jung, Yun Jang
2024Differentially Private Synthetic Data Generation Using Context-Aware GANs.
Anantaa Kotal, Anupam Joshi
2024Diffusion Models for Automatic Music Mixing.
Xinyang Wu, Andrew Horner
2024Digital Twins: Case Study of Energy Metaverse and Edge-Cloud Integration.
Alì Aghazadeh Ardebili, Angelo Martella, Cristian Martella, Antonella Longo, Antonio Ficarella
2024Discovering Communities With Clustered Federated Learning.
Mickaël Bettinelli, Alexandre Benoit, Kévin Grandjean
2024Discovering Localized Drivers of Unrest Events using Clustering and XGBoost.
Dalton J. Hazelwood, Deepti Joshi, Ashok Samal, Leen-Kiat Soh
2024Discovering Propagating Signals in High-Content Multivariate Time Series via Spatio-Temporal Subsequence Clustering.
Jan David Hüwel, Georg Stefan Schlake, Kevin Albrechts, Christian Beecks
2024Disentangled Conditional Variational Autoencoder for Unsupervised Anomaly Detection.
Asif Ahmed Neloy, Maxime Turgeon
2024Disentangled Prompt Learning for Transferable, Multimodal, Few-Shot Image Classification.
John Yang, Alessandro Magnani, Binwei Yang
2024Disentangling Fine-Tuning from Pre-Training in Visual Captioning with Hybrid Markov Logic.
Monika Shah, Somdeb Sarkhel, Deepak Venugopal
2024DistDNAS: Search Efficient Feature Interactions within 2 Hours.
Tunhou Zhang, Wei Wen, Igor Fedorov, Xi Liu, Buyun Zhang, Fangqiu Han, Wen-Yen Chen, Yiping Han, Feng Yan, Hai Li, Yiran Chen
2024Distributed Data Analysis Workflow System across Multiple Data Hubs.
Siwoon Son, Seong-Hwan Kim, Heesun Won
2024Divide2Conquer (D2C): A Decentralized Approach Towards Overfitting Remediation in Deep Learning.
Md. Saiful Bari Siddiqui, Md Mohaiminul Islam, Md. Golam Rabiul Alam
2024Do Data Scientists Dream About Their Skills' Assessment? - Transforming a Competition Platform Into an Assessment Platform.
Dominik Slezak, Andrzej Janusz, Maciej Swiechowski, Agnieszka Chadzynska-Krasowska, Jacek Kaminski
2024Do LLMs Understand Ambiguity in Text? A Case Study in Open-world Question Answering.
Aryan Keluskar, Amrita Bhattacharjee, Huan Liu
2024Does Station-Town Space Design Change Pedestrians' Mobility in Urban Area?
Sae Kondo, Shinpei Nomura, Yi Sun, Kaira Sekiguchi, Yukio Ohsawa
2024Domain Knowledge-Driven Multi-Label Behavioral Health Identification from Police Report.
Abm. Adnan Azmee, Francis Nweke, Md Abdullah Al Hafiz Khan, Yong Pei, Dominic Thomas, Monica Nandan
2024Domain-Aware LLM Routing During Generation.
Josef Pichlmeier, Philipp Ross, André Luckow
2024Downscaling Precipitation with Bias-informed Conditional Diffusion Model.
Ran Lyu, Linhan Wang, Yanshen Sun, Hedanqiu Bai, Chang-Tien Lu
2024Drift Detection and Adaptation for Federated Learning in IoT with Adaptive Device Management.
Shuang Zhou, Shashank Shekhar, Ajay Chhokra, Abhishek Dubey, Aniruddha Gokhale
2024Dueling Double DQN with Attention for Optimized Offloading in Wireless-Powered Edge-Enabled Mobile Computing Networks.
Shivani Tripathi, Praveen Kumar, Mailram Sai Chaitanya, Nagireddy Sai Tarun Teja, Rajiv Misra, T. N. Singh
2024Durin: CPU-FPGA Heterogeneous Platform for Scalable Low-Dimensional Data Clustering.
Se-Min Lim, Esmerald Aliaj, Sang-Woo Jun
2024DyGCL: Dynamic Graph Contrastive Learning For Event Prediction.
Muhammed Ifte Khairul Islam, Khaled Mohammed Saifuddin, Tanvir Hossain, Esra Akbas
2024DyMGCN: Dynamic Multi-Graph Convolution Networks for Spatio-Temporal Forecasting.
Hexiang Liu, Qilong Han, Jingyu Sheng, Dan Lu, Shanshan Sui, Hui Sun
2024Dynamic Insights: Well-being Activity Infused Fine-Tuning of Large Language Models.
Hamza Haruna Mohammed, Gabriel Kiss, J. Artur Serrano, Frank Lindseth
2024Dynamic Intelligence Assessment: Benchmarking LLMs on the Road to AGI with a Focus on Model Confidence.
Norbert Tihanyi, Tamás Bisztray, Richard A. Dubniczky, Rebeka Tóth, Bertalan Borsos, Bilel Cherif, Ridhi Jain, Lajos Muzsai, Mohamed Amine Ferrag, Ryan Marinelli, Lucas C. Cordeiro, Mérouane Debbah, Vasileios Mavroeidis, Audun Jøsang
2024Dynamic Memory Derived Graph learning for Spatio-Temporal Metro Flow Prediction.
Chen Wang, Huawei Wei
2024Dynamic Model Selection for Asynchronous Federated Learning in IoBT Scenarios.
Earl Tankard, Desta Haileselassie Hagos, Danda B. Rawat
2024Dynamic Topology Optimization for Efficient and Decentralised Federated Learning.
Danilo Menegatti, Alessandro Giuseppi, Cecilia Poli, Antonio Pietrabissa
2024DynamicFL: Federated Learning with Dynamic Communication Resource Allocation.
Qi Le, Enmao Diao, Xinran Wang, Ahmad Faraz Khan, Vahid Tarokh, Jie Ding, Ali Anwar
2024EEG2Text: Open Vocabulary EEG-to-Text Translation with Multi-View Transformer.
Hanwen Liu, Daniel Hajialigol, Benny Antony, Aiguo Han, Xuan Wang
2024EGANKT: Enhancing Graph-Attention Networks for Knowledge Tracing by Predicting Concepts and Abilities.
Qiwen Zheng, Shun Mao, Kai Chen, Yuncheng Jiang
2024EHRGPT: Leveraging language models for generating synthetic health records.
Giridhar Pamisetty, Subbareddy Batreddy, Priya Verma, Ch. Sobhan Babu
2024ELFS: Entropy-based Loss Function Selection for Global Model Accuracy in Federated Learning.
Sunghwan Park, Sangho Park, Sunwoo Na, Yeseul Chang, Jaewoo Lee
2024EMD-TCN-TimeGAN: A Data Augmentation Model for Enhancing the Accuracy of Agricultural Product Price Prediction.
Yinbing Wang, Xingfen Wang, Libo Li
2024EME33: A Dataset of Classical Piano Performances Guided by Expressive Markings with Application in Music Rendering.
Tzu-Ching Hung, Jingjing Tang, Kit Armstrong, Yi-Cheng Lin, Yi-Wen Liu
2024EMG-TransNN-MHA: A Transformer-Based Model for Enhanced Motor Intent Recognition in Assistive Robotics.
Joel Aikkarakudiyil Joby, Pascal Sikorski, Tipu Sultan, Hadi Ali Akbarpour, Flavio Esposito, Madi Babaiasl
2024ERATTA: Extreme RAG for enterprise-Table To Answers with Large Language Models.
Sohini Roychowdhury, Marko Krema, Anvar Mahammad, Brian Moore, Arijit Mukherjee, Punit Prakashchandra
2024EVOLVE: Evaluation of Language-to-SQL Validity and Effectiveness - A Detailed Review Framework for Complex Text-to-SQL Queries.
Raghu Katikeri, Alok Nook Raj Pepakayala, Lokesh Kuncham, Rachita Barla, Kasula Tarun, Sai Charan, Amit Vaid
2024EVRACE: Enhanced Visual Retrieval and Analysis for Large-Scale E-Bike Charging Curve Exploration.
Saisai Hu, Ji Zhang, Zhao Li, Donghui Ding, Dong Liu, Zhijun Pan, Jiale Dong
2024EXCON: Extreme Instance-based Contrastive Representation Learning of Severely Imbalanced Multivariate Time Series for Solar Flare Prediction.
Onur Vural, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi
2024Early Stopping Based on Repeated Significance.
Eric Bax, Arundhyoti Sarkar, Alex Shtoff
2024Early Wildfire Detection Using One Class Learning.
Wen Le Hong, Xinghui Zhao
2024Ecosystem-Based Wildfire Risk Prediction with Machine Learning.
Eric Alexander Schmitt, Evan Zaremba, Neha Ananthavaram, Li Liu, Mario Giraldo, Xunfei Jiang
2024Edge Grading in Trading Cards Using Transfer Learning: Methods, Experiments, and Evaluation.
Lutfun Nahar, Md. Saiful Islam, Mohammad Awrangjeb, Rob Verhoeve
2024EduMAS: A Novel LLM-Powered Multi-Agent Framework for Educational Support.
Qiaomu Li, Ying Xie, Sumit Chakravarty, Dabae Lee
2024Educational Digital Twin: Tackling Complexity in Educational Big Data.
Luwen Huang, Karen E. Willcox
2024Effective Guidance for Model Attention with Simple Yes-no Annotations.
Seongmin Lee, Ali Payani, Duen Horng (Polo) Chau
2024Effective Net Load Forecasting in Solar-Integrated Homes with Battery Systems.
Stefano Cabiddu, Manuela Sanguinetti, Alessandro De Falco, Giulia Manca, Maurizio Atzori
2024Effective and Lightweight Surface Defect Detection via Enhanced Deep Learning Models.
Kenny Pierrot Kayanzari, Hongzhou Li, Ji Zhang
2024Efficient Arrhythmia Detection Using Progressive Resolution Shrinking.
Tavonput Luangphasy, Xinghui Zhao
2024Efficient Brain Imaging Analysis for Alzheimer's and Dementia Detection Using Convolution-Derivative Operations.
Yasmine Mustafa, Mohamed Elmahallawy, Tie Luo
2024Efficient Data-parallel Distributed DNN Training for Big Dataset under Heterogeneous GPU Cluster.
Shinyoung Ahn, Sookwang Lee, Hyeonseong Choi, Jaehyun Lee
2024Efficient Encodings for Privacy-Preserving Data Storage and Transmission.
Arghya Kusum Das, M. Oguzhan Külekci, Sharma V. Thankachan
2024Efficient Federated Unlearning with Adaptive Differential Privacy Preservation.
Yu Jiang, Xindi Tong, Ziyao Liu, Huanyi Ye, Chee-Wei Tan, Kwok-Yan Lam
2024Efficient Hierarchical Contrastive Self-supervising Learning for Time Series Classification via Importance-aware Resolution Selection.
Kevin Garcia, Juan Manuel Perez, Yifeng Gao
2024Efficient Host Intrusion Detection using Hyperdimensional Computing.
Yujin Nam, Rachel King, Quinn Burke, Minxuan Zhou, Patrick D. McDaniel, Tajana Rosing
2024Efficient Point-to-Subspace ANNS in Manhattan and Lp Space by LSH Pruning.
Jingfan Meng, Huayi Wang, Jun Xu
2024Efficient SGD Neural Network Training via Sublinear Activated Neuron Identification.
Lianke Qin, Zhao Song, Yuanyuan Yang
2024Efficient Selective Pre-Training for Imbalanced Fine-Tuning Data in Transfer Learning.
Shaif Chowdhury, Sadia Nasrin Tisha, Mushfika Rahman, Greg Hamerly
2024Efficient counting of balanced (2, k)-bicliques in Signed Bipartite Graphs.
Mekala Kiran, Apurba Das, Suman Banerjee
2024EfficientViT for Video Action Recognition.
Derek Jin, Shengyou Zeng
2024Embedding-based Entity Expansion for Data Augmentation in Materials Science.
Suho Kim
2024Embracing Foundation Models for Advancing Scientific Discovery.
Sikun Guo, Amir Hassan Shariatmadari, Guangzhi Xiong, Aidong Zhang
2024Emerging Trends in LLM Benchmarking.
Akshar Prabhu Desai, Ritu Prajapati, Tejasvi Ravi, Mohammad Luqman, Pranjul Yadav
2024Emotion Classification of Lyrics through Summarization by Large Language Models.
Sho Miyakawa, Takehito Utsuro
2024Empirical Evaluation of Embedding Models in the Context of Text Classification in Document Review in Construction Delay Disputes.
Fusheng Wei, Robert Neary, Han Qin, Qiang Mao, Jianping Zhang
2024Empirical Evaluation of Ensemble and Single Model Approaches for Multilingual Predictive Coding.
Jingchao Yang, Adam Dabrowski, Robert Neary, Nathaniel Huber-Fliflet, Fusheng Wei, Qiang Mao
2024Empirically Categorizing the Built Environment in Relation to Height.
Clinton Stipek, Justin Epting, Daniel S. Adams, Viswadeep Lebakula, Taylor Hauser, Robert Stewart, Christa Brelsford, Allan Ross
2024Empowering Citizens through Structured Data: Enhancing Public Service information Delivery in Disaster Response.
Naho Kitano, Jiro Kokuryo, Noboru Koshizuka, Hideyuki Yasui, Kazuhiko Kitayama
2024Empowering Data Mesh with Federated Learning.
Haoyuan Li, Salman Toor
2024Empowering Data Science Teams: How Automation Frameworks Address Competency Gaps Across Project Lifecycles.
Maike Holtkemper, Christian Beecks
2024Empowering Meta-Analysis: Leveraging Large Language Models for Scientific Synthesis.
Jawad Ibn Ahad, Rafeed Mohammad Sultan, Abraham Kaikobad, Fuad Rahman, Mohammad Ruhul Amin, Nabeel Mohammed, Shafin Rahman
2024Empowering University-level Help Desk for International Applicants with AI Chatbots.
Zahra Karimi, Giuseppe Gallipoli, Luca Cagliero, Francesca Chicco, Carola Rosa, Alessandra Sechi
2024EnStack: An Ensemble Stacking Framework of Large Language Models for Enhanced Vulnerability Detection in Source Code.
Shahriyar Zaman Ridoy, Md. Shazzad Hossain Shaon, Alfredo Cuzzocrea, Mst. Shapna Akter
2024Enabling Provenance Tracking in Workflow Management Systems.
Ludovica Sacco, Carolina Sopranzetti, Sandro Fiore
2024Enabling Scalable Mineral Exploration: Self-Supervision and Explainability.
Angel Daruna, Vasily Zadorozhnyy, Georgina Lukoczki, Han-Pang Chiu
2024Encrypted Biometric Search: A Deep Learning Approach to Scalable and Secure Cross-Border Data Exchange.
Kyriaki Miniadou, Asterios Leonidis, Georgios Th. Papadopoulos, Constantine Stephanidis
2024End-to-End Trip Energy Predictions Developed from Real-World Driving Data using Recurrent Neural Networks.
Shinhoon Kim, Vishnu Raghupathy, Yongkang Liu, Keisuke Niimi, Takahiro Mochihara
2024Energy Infrastructure Risk Modeling using Quantum and Classical Machine Learning.
Neelanga Thelasingha, Thilanka Munasinghe
2024Energy Prediction for Automobile Air Conditioning Systems.
Adel Tazhibi, Nathan Dong, Kavyalata Kothari, Taehyung Wang
2024Energy-efficient Federated Learning with Dynamic Model Size Allocation.
M. S. Chaitanya Kumar, Sai Satya Narayana J, Yunkai Bao, Xin Wang, Steve Drew
2024Enhanced Deepfake Detection Leveraging Multi-Resolution Wavelet Convolutional Networks.
Supriyo Sadhya, Xiaojun Qi
2024Enhancing Big Data Analysis: A Recursive Window Segmentation Strategy for Multivariate Longitudinal Data.
Desmond Fomo, Aki-Hiro Sato
2024Enhancing Contextual Understanding in Knowledge Graphs: Integration of Quantum Natural Language Processing with Neo4j LLM Knowledge Graph.
Suman Bharti, Dan Chia-Tien Lo, Yong Shi
2024Enhancing Cross-Modal Contextual Congruence for Crowdfunding Success using Knowledge-infused Learning.
Trilok Padhi, Ugur Kursuncu, Yaman Kumar, Valerie L. Shalin, Lane Peterson Fronczek
2024Enhancing Customer Behavior Prediction and Interpretability.
Danny Yu-Chung Wang, Lars Arne Jordanger, Jerry Chun-Wei Lin
2024Enhancing Data-Driven Predictive Modeling of Pedestrian Crowd Flow with Spatial Priors - Case Studies with Post-Event Crowd Data on a University Campus.
Vivian Wen Hui Wong
2024Enhancing Discoverability and Management of Atmospheric Data at Scale: Solutions from the ARM Data Center.
Chirag Shah, Wade Darnell, Hannah Collier, Harold Shanafield, Michael Giansiracusa, Giri Prakash
2024Enhancing EV Charging Demand Forecasting for Highway Rest Area Stations: Integrating Day Type, Traffic Volume, and Weather Conditions.
Yeaeun Lee, Byeongchang Kim, Dongju Kim, Euiseok Hwang, Jaehyuk Choi, Hyunsup Kim
2024Enhancing Early Diagnosis of Autism Spectrum Disorder Using Multimodal Data and Explainable AI Models.
Yeganeh Abdollahinejad, Md Faisal Kabir
2024Enhancing Fairness in Medical Image Classification: A Comparative Study of Convolutional Neural Networks and Adversarial Learning.
Gauri Kshettry, Twisha Patel
2024Enhancing Federated Learning for Confidential Sensor Data Aggregation in IoMT Environments.
Dagmawit Tadesse Aga, Madhuri Siddula
2024Enhancing Financial Domain Adaptation of Language Models via Model Augmentation.
Kota Tanabe, Masanori Hirano, Kazuki Matoya, Kentaro Imajo, Hiroki Sakaji, Itsuki Noda
2024Enhancing Financial Reasoning in Large Language Models: The Role of Gold Facts.
Shoutai Zhu, Ziqiang Yuan, Kaiyuan Wang, Yishu Zhang, Wenqi Wei
2024Enhancing Forecasting for Advanced Air Mobility.
Mehul Lad, Kamal Acharya, Liang Sun, Houbing Song
2024Enhancing Fraud Detection in Enterprise Resource Planning Systems through Federated Learning: A Comparative Study.
Jonas Schnepf, Caroline Dieterich, Ozan Öztürk, Robin Hirt, Bernd Scheuermann
2024Enhancing Graph Neural Networks with Limited Labeled Data by Actively Distilling Knowledge from Large Language Models.
Quan Li, Tianxiang Zhao, Lingwei Chen, Junjie Xu, Suhang Wang
2024Enhancing Healthcare Services through User-Centered Data Collection and Analysis.
Ozlem Zungor, Yigit Uludag, Ozan Celikel, Ozgun Pinarer
2024Enhancing International Security: A Secure Biometric Data Sharing Framework for Effective Cross-Border Crime and Terrorism Prevention.
Georgios Benos, Konstantinos Koutsoukos, Chrysostomos Symvoulidis, Dimitrios Drakoulis
2024Enhancing Network Traffic Classification with Large Language Models.
Honghe Zhou, Xin Huang, Lin Deng
2024Enhancing Out-Of-Vocabulary Word Representations with Large Language Models.
Mingyu Kim, Sungju Lee, Jongchan Choi
2024Enhancing Photosynthesis Simulation Performance in ESMs with Machine Learning-Assisted Solvers.
Elias C. Massoud, Nathan Collier, Bharat Sharma, Jitendra Kumar, Forrest M. Hoffman
2024Enhancing Predictive Fairness in Deep Knowledge Tracing with Sequence Inverted Data Augmentation.
Han Kyul Kim, Stephen Lu
2024Enhancing Smart Grid Efficiency through AI Technologies.
Selen Kayan Kiliç, Kaan Özdemir, Uraz Yavanoglu, Suat Özdemir
2024Enhancing Suicide Risk Detection with a Multisource Data Filtering and Fusion Optimization Framework (MDF-FOF).
Shouwen Zheng, Taiqi Zhou, Yingzhi Tao, Junru Chen, Ruofei Wang, Siyuan Liu
2024Enhancing Synthetic Data Generation for Class Imbalance and Privacy Preservation.
Weijie Niu, Alberto Huertas Celdrán, Jingjing Li, Burkhard Stiller
2024Enhancing Trust and Safety in Digital Payments: An LLM-Powered Approach.
Devendra Dahiphale, Naveen Madiraju, Justin Lin, Rutvik Karve, Monu Agrawal, Anant Modwal, Ramanan Balakrishnan, Shanay Shah, Govind Kaushal, Priya Mandawat, Prakash Hariramani, Arif Merchant
2024Enhancing User Understanding with Big Data: A Comparative Study of Deep Learning and Statistical Methods for Forecasting Online Page Views.
Xiaofei Hu, Le Zheng, Ruomeng Zhang
2024Enriching Skill Taxonomies through Vector Space Models.
Simone D'Amico, Alessia De Santo, Fabio Mercorio, Mario Mezzanzanica
2024Ensuring Security Continuum from Edge to Cloud : Adaptive Security for IoT-based Critical Infrastructures using FL at the Edge.
Ismail Ari, Kerem Balkan, Sandeep Pirbhulal, Habtamu Abie
2024Ensuring Trustworthiness in Decentralized Systems through Federated Distillation and Feature Mixing.
Christos Chatzikonstantinou, Athanasios Psaltis, Charalampos Z. Patrikakis, Petros Daras
2024Ensuring Trustworthiness in Decentralized Systems through Federated Distillation and Feature Mixing.
Christos Chatzikonstantinou, Athanasios Psaltis, Charalampos Z. Patrikakis, Petros Daras
2024Entity Extraction from High-Level Corruption Schemes via Large Language Models.
Panagiotis Koletsis, Panagiotis-Konstantinos Gemos, Christos Chronis, Iraklis Varlamis, Vasilis Efthymiou, Georgios Th. Papadopoulos
2024Estimate Causal Effects of Entangled Treatment on Graphs using Disentangled Instrumental Variables.
Jingyuan Chou, Jiangzhuo Chen, Madhav V. Marathe
2024Estimating Chess Puzzle Difficulty Without Past Game Records Using a Human Problem-Solving Inspired Neural Network Architecture.
Anan Schütt, Tobias Huber, Elisabeth André
2024Estimating the Puzzlingness of Chess Puzzles.
Sebastian Björkqvist
2024Ethernet-Based Memory Expansion with Cache-coherent Architecture for Disaggregated Memory Systems.
SongWoo Sok, Young Woo Kim, Hyuk-Je Kwon, Jinmee Kim, Hag-Young Kim, Kangho Kim, Seung-Jun Cha
2024European data spaces for urban digital twins: user-and implementation-driven recommendations.
Cristian Martella, Angelo Martella, Antonella Longo
2024EuropeanLawAdvisor: an open source search engine for European laws.
Raffaele Russo, Diego Russo, Gian Marco Orlando, Antonio Romano, Giuseppe Riccio, Valerio La Gatta, Marco Postiglione, Vincenzo Moscato
2024Evaluating Blocking Biases in Entity Matching.
Mohammad Hossein Moslemi, Harini Balamurugan, Mostafa Milani
2024Evaluating Company-specific Biases in Financial Sentiment Analysis using Large Language Models.
Kei Nakagawa, Masanori Hirano, Yugo Fujimoto
2024Evaluating Fairness of Mask R-CNN for Kidney Infection Detection based on Renal Scintigraphy.
Jiayi Wang, Mingyan Wu, Yuhang Guo, Ha Wu, Zhiyu Wan
2024Evaluating Federated Dino's performance on the segmentation task across diverse domains.
Marko Harasic, Dennis Lehmann, Adrian Paschke
2024Evaluating Lossy and Lossless Compression for DICOM Medical Files.
Yizhe Yang, Carson D. Sisk, Jon C. Calhoun
2024Evaluating Performance Trade-offs of Caching Strategies for AI-Powered Querying Systems.
Hyunju Oh, Wei Zhang, Christopher D. Rickett, Sreenivas R. Sukumar, Suren Byna
2024Evaluating Text Summarization Techniques and Factual Consistency with Language Models.
Md. Moinul Islam, Usman Muhammad, Mourad Oussalah
2024Evaluating Transformer Models for Suicide Risk Detection on Social Media.
Jakub Pokrywka, Jeremi Kaczmarek, Edward Jacek Gorzelanczyk
2024Evaluating and Reducing Subgroup Disparity in AI Models Predicting Pediatric COVID-19 Test Outcomes.
Alexander Libin, Jonah Treitler, Tadas Vasaitis, YiJun Shao
2024Evaluation and Comparison of Open-Source LLMs Using Natural Language Generation Quality Metrics.
Dzenan Hamzic, Markus Wurzenberger, Florian Skopik, Max Landauer, Andreas Rauber
2024Event-Based Multi-Modal Fusion for Online Misinformation Detection in High-Impact Events.
Javad Rajabi, Sunday Okechukwu, Ahmad Mousavi, Roberto Corizzo, Charles C. Cavalcante, Zois Boukouvalas
2024Event-driven Rerouting Framework for Agent Behavior in Urban Traffic Simulation.
Hyewon Song, Moonyoung Chung
2024Examining Trustworthiness of LLM-as-a-Judge Systems in a Clinical Trial Design Benchmark.
Corey Curran, Nafis Neehal, Keerthiram Murugesan, Kristin P. Bennett
2024Examining the Feasibility of Large Language Models as Survey Respondents.
Ayato Kitadai, Kazuhito Ogawa, Nariaki Nishino
2024Examining the Representation of Youth in the US Policy Documents through the Lens of Research.
Miftahul Jannat Mokarrama, Abdul Rahman Shaikh, Hamed Alhoori
2024Exceptions with Priorities by Ethical Values for Logic Programming in Natural Language.
Keisuke Nakamura, Narumi Naya, Tatsuyoshi Ando
2024Experimental Analysis and Assessment of a Real-Life Cloud Mobile Big OLAP System Enhanced with Compression and Approximation Paradigms.
Alfredo Cuzzocrea, Mojtaba Hajian
2024Experimental Study of In-Context Learning for Text Classification and Its Application to Legal Document Review in Construction Delay Disputes.
Nathaniel Huber-Fliflet, Jianping Zhang, Peter Gronvall, Fusheng Wei, Philip Spinelli
2024Experimentally Evaluating the Resource Efficiency of Big Data Autoscaling.
Jonathan Will, Nico Treide, Lauritz Thamsen, Odej Kao
2024Explainable AI for Trustworthy Clinical Decision Support: A Case-Based Reasoning System for Nursing Assistants.
Yen-Ku Liu, Yun-Cheng Tsai
2024Explainable Enrichment-Driven GrAph Reasoner (EDGAR) for Large Knowledge Graphs with Applications in Drug Repurposing.
Olawumi Olasunkanmi, Evan Morris, Yaphet Kebede, Harlin Lee, Stanley C. Ahalt, Alexander Tropsha, Chris Bizon
2024Explainable Multi-Label Classification Framework for Behavioral Health Based on Domain Concepts.
Francis Nweke, Abm. Adnan Azmee, Md Abdullah Al Hafiz Khan, Yong Pei, Dominic Thomas, Monica Nandan
2024Explainable RNN Classification of Right Ventricular Dysfunction from Echocardiogram Reports.
Arun Rajaratnam, Roberto Corizzo, Zois Boukouvalas
2024Explainable Vertical Federated Learning for Healthcare: Ensuring Privacy and Optimal Accuracy.
Shahnewaz Karim Sakib, Anindya Bijoy Das
2024Explaining Veracity Predictions with Evidence Summarization: A Multi-Task Model Approach.
Recep Firat Cekinel, Pinar Karagoz
2024Explanation-based Adversarial Detection with Noise Reduction.
Juntao Su, Zhou Yang, Zexin Ren, Fang Jin
2024Explingo: Explaining AI Predictions using Large Language Models.
Alexandra Zytek, Sara Pidò, Sarah Alnegheimish, Laure Berti-Équille, Kalyan Veeramachaneni
2024Exploration of TPU Architectures for the Optimized Transformer in Drainage Crossing Detection.
Amirhossein Nazeri, Denys W. Godwin, Aikaterini Maria Panteleaki, Iraklis Anagnostopoulos, Michael I. Edidem, Ruopu Li, Tong Shu
2024Exploring Deep Learning and Grad-CAM for Speech-Based Detection of Mild Traumatic Brain Injury.
Fredy Rojas, Samaneh Madanian, John Michael Templeton, Christian Poellabauer, Sandra L. Schneider
2024Exploring Global Gender Gaps in the Blockchain Domain: Insights from LinkedIn Advertising Data.
Reham Al Tamime, Markus Strohmaier, Ingmar Weber
2024Exploring Large Language Models for Analyzing Changes in Web Archive Content: A Retrieval-Augmented Generation Approach.
Jhon G. Botello, Lesley Frew, Jose J. Padilla, Michele C. Weigle
2024Exploring Network Dynamics: Community Detection and Influencer Analysis in Multidimensional Social Networks.
Andreas Kanavos, Gerasimos Vonitsanos, Ioannis Karamitsos, Khalil Al-Hussaeni
2024Exploring Parameter-Efficient Fine-Tuning to Enable Foundation Models in Federated Learning.
Guangyu Sun, Umar Khalid, Matías Mendieta, Pu Wang, Chen Chen
2024Exploring Query Understanding for Amazon Product Search.
Chen Luo, Xianfeng Tang, Hanqing Lu, Yaochen Xie, Hui Liu, Zhenwei Dai, Limeng Cui, Ashutosh Joshi, Sreyashi Nag, Yang Li, Zhen Li, Rahul Goutam, Jiliang Tang, Haiyang Zhang, Qi He
2024Exploring Real-Time Model Augmentation and Pretraining for Optimized Road Damage Detection.
Rahul Vishwakarma
2024Exploring The Capabilities of Single-Stage Instance Segmentation Models for Building Extraction.
Masato Tamura, Pierre Huyn, Rahul Vishwakarma
2024Exploring Tourism Value Using Boundary Objects and Edges.
Riko Tsubaki, Kaira Sekiguchi, Yukio Ohsawa
2024Exploring YouTube's Role in Shaping Political Discourse: A Case Study of the 2024 Tokyo Gubernatorial Election.
Hibiki Nakamura
2024Exploring an Embodied Conversation Agent to Act as an Empathetic Doctor for use in Telehealth.
William Starling, Kolitha Warnakulasooriya, Aviv Segev
2024Exploring the Landscape of Distributed Graph Clustering on Leadership Supercomputers.
Naw Safrin Sattar, Abigail Kapocius, Hao Lu, Mahantesh Halappanavar, Feiyi Wang
2024Exploring the Semantic Representations of Text in Subspaces of Latent Space: A Case Study on Color.
Yung-Fu Lo, Shun-Wen Hsiao
2024Exploring the interplay between DataSpaces and Large Language Models.
Salvatore Distefano, Yordanos Nebiyou Yifru
2024Exploring the mechanism of adjustment formula related to Siwu Decoction in the treatment of polycystic ovary syndrome based on network pharmacology.
Tongxuan Ouyang, Yu Chen, Yan Wang, Ying Xie, Haotian Li, Min Zhao
2024Exposing LLM Vulnerabilities: Adversarial Scam Detection and Performance.
Chen-Wei Chang, Shailik Sarkar, Shutonu Mitra, Qi Zhang, Hossein Salemi, Hemant Purohit, Fengxiu Zhang, Michin Hong, Jin-Hee Cho, Chang-Tien Lu
2024Extremist discourse on alt-right sub-reddit: An Inferential Network Analysis Approach.
Rodger Van Der Heijden, Ellen Mans, Tim Jongenelen, Claudia Zucca, Giuseppe Cascavilla
2024FAIR Digital Objects for the Realization of Globally Aligned Data Spaces.
Nicolas Blumenröhr, Philipp-Joachim Ost, Felix Kraus, Achim Streit
2024FANAL - Financial Activity News Alerting Language Modeling Framework.
Urjitkumar Patel, Fang-Chun Yeh, Chinmay Gondhalekar, Hari Nalluri
2024FEED: Fairness-Enhanced Meta-Learning for Domain Generalization.
Kai Jiang, Chen Zhao, Haoliang Wang, Feng Chen
2024FLAME Diffuser: Wildfire Image Synthesis using Mask Guided Diffusion.
Hao Wang, Sayed Pedram Haeri Boroujeni, Xiwen Chen, Ashish Bastola, Huayu Li, Wenhui Zhu, Abolfazl Razi
2024FLeNS: Federated Learning with Enhanced Nesterov-Newton Sketch.
Sunny Gupta, Mohit Jindal, Pankhi Kashyap, Pranav Jeevan, Amit Sethi
2024FPP-Hunter: Expert-Guided Discovery Of Functional Path Patterns.
Daniel R. Korn, Jon-Michael Beasley, Kara Schatz, Pei-Yu Hou, Alexander Tropsha, Rada Chirkova
2024FPPL: An Efficient and Non-IID Robust Federated Continual Learning Framework.
Yuchen He, Chuyun Shen, Xiangfeng Wang, Bo Jin
2024FPSRec: Football Players Scouting Recommendation System based on Generative AI.
Antonio Maria Rinaldi, Antonio Romano, Cristiano Russo, Cristian Tommasino
2024FRISTS: High-Performing Interpretable Medical Prediction.
Sophia Lin, Xinyu Dong, Fusheng Wang
2024FRTP: Federating Route Search Records to Enhance Long-term Traffic Prediction.
Hangli Ge, Xiaojie Yang, Itsuki Matsunaga, Dizhi Huang, Noboru Koshizuka
2024FSL-DSC: A Hybrid Pap Smear Cervical Cancer Image Classification Framework Using Few-shot Learning with Depthwise Separable Convolutions.
Jin Yuan, Xiangchen Wu, Changzhong Li, Hongzan Sun, Tao Jiang, Marcin Grzegorzek, Chen Li
2024FaaS and Furious: abstractions and differential caching for efficient data pre-processing.
Jacopo Tagliabue, Ryan Curtin, Ciro Greco
2024Factify: An Automated Fact-Checker for Web Information.
Ademola Adesokan, Shady Elbassuoni
2024Factual Accuracy Checking by Validating Numerical Data in Financial Summaries.
Anup Bera, Aditya Goel
2024FairLENS: Assessing Fairness in Law Enforcement Speech Recognition.
Yicheng Wang, Mark Cusick, Mohamed Laila, Kate Puech, Zhengping Ji, Xia Hu, Michael Wilson, Noah Spitzer-Williams, Bryan Wheeler, Yasser Ibrahim
2024Fairness in Monotone k-submodular Maximization: Algorithms and Applications.
Yanhui Zhu, Samik Basu, Aduri Pavan
2024Fake Face Detection Using Deep Neural Network.
Janusz Bobulski, Mariusz Kubanek
2024Fast Distributed Memory Parallel Algorithms for Finding Connected Components in Large Graphs.
Maleq Khan, Sharon Boddu
2024Fast Second-order Method for Neural Networks under Small Treewidth Setting.
Xiaoyu Li, Jiangxuan Long, Zhao Song, Tianyi Zhou
2024Fast Sentence Classification using Word Co-occurrence Graphs
Ashirbad Mishra, Shad Kirmani, Kamesh Madduri
2024Faster Sampling Algorithms for Polytopes with Small Treewidth.
Yekun Ke, Xiaoyu Li, Zhao Song, Tianyi Zhou
2024Feature Interaction Detection in Big Data Through a New Choquet Integral based Deep Neural Network.
Matthew Fried, Honggang Wang, Hua Fang
2024Feature-Space Semantic Invariance: Enhanced OOD Detection for Open-Set Domain Generalization.
Haoliang Wang, Chen Zhao, Feng Chen
2024FedBlock: A Blockchain Approach to Federated Learning against Backdoor Attacks.
Duong H. Nguyen, Phi L. Nguyen, Truong T. Nguyen, Hieu H. Pham, Duc A. Tran
2024FedCali: Mitigating Overgeneralization for Anomaly Detection in Distributed Sensor Environments.
Pi-Wei Chen, Jerry Chun-Wei Lin, Rafal Cupek, Chao-Chun Chen
2024FedGSDW: Enhancing Federated Learning Robustness against Model Poisoning Attack.
Xiujin Shi, Naiwen Sun, Jiawei Gong, Shoujian Yu
2024FedISMH: Federated Learning Via Inference Similarity for Model Heterogeneous.
Yongdong Li, Li-e Wang, Zhigang Sun, Xianxian Li, Hengtong Chang, Jinke Xu, Caiyi Lin
2024FedPAE: Peer-Adaptive Ensemble Learning for Asynchronous and Model-Heterogeneous Federated Learning.
Brianna Mueller, W. Nick Street, Stephen Baek, Qihang Lin, Jingyi Yang, Yankun Huang
2024FedRAL: Cost-Effective Distributed Annotation via Federated Reinforced Active Learning.
Yannis Lazaridis, Anestis Kastellos, Athanasios Psaltis, Petros Daras
2024FedUNRAN: On-device Federated Unlearning via Random Labels.
Alessio Mora, Luca Dominici, Paolo Bellavista
2024Federated Contrastive Learning of Graph-Level Representations.
Xiang Li, Gagan Agrawal, Rajiv Ramnath, Ruoming Jin
2024Federated Focal Modulated UNet for Cardiovascular Image Segmentation.
Mohammad Asjad, Abdul Qayyum, Moona Mazher, Usman Naseem, Tariq Mahmood Khan, Steven A. Niederer, Imran Razzak
2024Federated Kolmogorov-Arnold Networks for Health Data Analysis: A Study Using ECG Signal.
Sileshi Nibret Zeleke, Mario A. Bochicchio
2024Federated Learning Governance using Eclipse Dataspace Components Connectors.
Angela Mitrovska, Marcel Fernandez Rosas, Pooyan Safari, Behnam Shariati, Johannes Karl Fischer, Ronald Freund
2024Federated Learning Meets Blockchain: A Kafka-ML Integration for reliable model training using data streams.
Antonio Jesús Chaves, Cristian Martín, Kwang Soon Kim, Adnan Shahid, Manuel Díaz
2024Federated Learning for Enhanced Cell Nuclei Segmentation in Histopathological Images.
Marco Usai, Andrea Loddo, Lorenzo Putzu, Cecilia Di Ruberto
2024Federated Learning for Medical Applications - A Study on Performance and Bias with Logistic Regression on Small Datasets.
Kirthika Ashokkumar, Sakina Rahman, Palak Agarwal, Mahima Agumbe Suresh
2024Federated Learning on Knowledge Graph Embeddings via Contrastive Alignment.
Antor Mahmud, Renata Dividino
2024Federated Learning on Recommender Systems.
Ketan Malempati, Pruthvi Raj Kotigari, Kandukuri Sai Teja, Magdalini Eirinaki
2024Federated Learning under Sample Selection Heterogeneity.
Huy Mai, Xintao Wu
2024Federated Learning with Knowledge Distillation to Mitigate Catastrophic Forgetting and Data Heterogeneity in IoV Systems.
Jiayu Wang, Jiechao Gao
2024Federated Multi-task Learning in Distributed Networks.
Lingzhou Hong, Alfredo García
2024Federated Objective: Assessing Client Truthfulness in Federated Learning.
Marco Garofalo, Alessio Catalfamo, Mario Colosi, Massimo Villari
2024Federated Orchestration Framework for Integrated Core and Edge Network Security: Combining P4-ShieldNet and SAFE-CAST.
Yusuf Kursat Tuncel, Kasim Oztoprak
2024Federated Privacy-Preserving Visualization: A Vision Paper.
Ye Tao, Anand D. Sarwate, Sandeep R. Panta, Sergey M. Plis, Vince D. Calhoun
2024Federated Recommendation via Hybrid Retrieval Augmented Generation.
Huimin Zeng, Zhenrui Yue, Qian Jiang, Dong Wang
2024Fine-Tuning Large Language Models for Compliance Checks.
Thiago Bell, David Leonhard, Ali Hamza Bashir, Tim Dilmaghani Khameneh, Mohamed Khaled, Ulrich Warning, Rüdiger Loitz, Sandra Halscheidt, Jana Birr, Armin Berger, Rafet Sifa, David Berghaus
2024Fine-grained Graph-based Anomaly Detection on Vehicle Controller Area Networks.
Isaiah J. King, Benjamin Bowman, H. Howie Huang
2024Finetuning Large Language Models for Suicide Risk Level Assessment on Social Media.
Lei Cao, Zihan Wei, Zhexuan Wei, Xixian Chen
2024Firecast Zigzag Convolutional Network for Wildfire Prediction.
Yuzhou Chen, Joel Chacón Castillo, Huikyo Lee, Yulia R. Gel
2024Firefighting: Applying Deep Learning Algorithms for Real-time Fire Detection.
Aaron Linder, Debzani Deb
2024FisherMask: Enhancing Neural Network Labeling Efficiency in Image Classification Using Fisher Information.
Shreen Gul, Mohamed Elmahallawy, Sanjay Madria, Ardhendu Tripathy
2024Flexible Memory Rotation (FMR): Rotated Representation with Dynamic Regularization to Overcome Catastrophic Forgetting in Continual Knowledge Graph Learning.
Lijing Zhu, Donghyun Jeon, Wenbo Sun, Li Yang, Yixin Xie, Shuteng Niu
2024Fly-ABAC: Attribute Based Access Control for the Navigation of Unmanned Aerial Vehicles.
Wynter Japp, Victoria Lee, Sai Avinash Vagicherla, Carlos E. Rubio-Medrano
2024Fool 'Em All - Fool-X: A Powerful & Fast Method for Generating Effective Adversarial Images.
Samer Y. Khamaiseh, Mathew Mancino, Deirdre Jost, Abdullah S. Al-Alaj, Derek Bagagem, Edoardo Serra
2024Forecast of Wildfire Potential Across California USA Using a Transformer.
Russell Limber, William W. Hargrove, Forrest M. Hoffman, Jitendra Kumar
2024Forecasting Application Counts in Talent Acquisition Platforms: Harnessing Multimodal Signals using LMs.
Md. Ahsanul Kabir, Kareem Abdelfatah, Shushan He, Mohammed Korayem, Mohammad Al Hasan
2024Forecasting Migration Patterns and Land Border Encounters.
Raquib Bin Yousuf, Shengzhe Xu, Patrick Butler, Brian Mayer, Nathan Self, David Mares, Naren Ramakrishnan
2024Forecasting Nutrient Flows using Terrain Elevation-aware Spatial-Temporal Graph Neural Networks.
Jiaqi Li, Yinghui Wu, Alexandar Harding Bradley, Olatunde Akanbi, Erika I. Barcelos, Laura S. Bruckman, Roger H. French
2024Forecasting Unseen Points of Interest Visits Using Context and Proximity Priors.
Ziyao Li, Shang-Ling Hsu, Cyrus Shahabi
2024Forensic Intelligence Derived from Crime Scene Evidence Using Text Embeddings.
Vinicius Lima, Umit Karabiyik
2024Forest fire prevention: Application of mathematical models for the realization of an IoT based monitoring system.
Carmelo Scuro, Giuseppe Alì, Pierpaolo Antonio Fusaro, Salvatore Nisticò
2024ForumPFN: Online Forum Post Fusion Network for Volatility Index Movement Prediction.
Kentaro Ueda, Hirohiko Suwa, Eiichi Umehara, Yuki Ogawa, Tatsuo Yamashita, Kota Tsubouchi, Keiichi Yasumoto
2024Fostering sustainable walkability in remote areas: integrating territorial data sources and AI-based simulation techniques.
Roberto Garrone, Katsuhiro Nishinari, Stefania Bandini
2024Foundation Models for Big Data: Enabling AI-Powered Data Insights to Accelerate Business Outcomes and Achieve Sustainable Success.
Kranthi Godavarthi, Jayanna Hallur, Sujan Das
2024From Graph Paths to Natural Language: Enhancing LLM Reasoning for Multi-choice Question-Answering Tasks.
Hongzhi Zhang, M. Omair Shafiq
2024From Searches to Sneezes: Evaluating Digital Indicators for Allergic Rhinitis Surveillance in the United Kingdom
Krishnamoorthy Manohara, Slava Jankin, Jean Bousquet, Paulina Garcia Corral, Jorge Roa, Hannah Béchara, Bernardo Sousa-Pinto
2024From Spatial to Frequency Domain: Defending Medical Image Classification Against Steganography-Based Adversarial Attacks.
Farah Aladwan, Raj Mani Shukla, Hossein Abroshan, Shareeful Islam, Ronak Al-Haddad
2024From Viewing to Purchasing: the Moderating Effects of Lucky Draw in Live-Streaming Commerce.
Xing-Yu Chen, Muran Yu, Shang Gao, Ying Liu, Wei Shang
2024From Words to Actions: A Comprehensive Approach to Identifying Incel Behavior on Reddit.
Ahmet Y. Demirbas, Jakir Hossain, Ahmet Erdem Sariyüce
2024Front-running Attack Detection in Blockchain using Conditional Packing Generative AI.
Shagufta Henna, Mohamed Amjath
2024Fusing Speech and Language Models for Dementia Detection.
Tobias Deußer, Abdul Mohsin Siddiqi, Lorenz Sparrenberg, Tobias Adams, Christian Bauckhage, Rafet Sifa
2024Future Workload and Cloud Resource Usage: Insights from an Interpretable Forecasting Model.
Amadou Ba
2024Fuzzy Federated Multi-Label Feature Selection: Reinforcement Learning and Ant Colony Optimization.
Afsaneh Mahanipour, Hana Khamfroush
2024Fuzzy Querying in the Cloud-based Environment for Data Stream-driven Predictive Maintenance in AGV-enabled Smart Factories.
Bozena Malysiak-Mrozek, Dominik Romanów, Piotr Grzesik, Pawel Benecki, Alexandre Niyomugaba, Theodore Habimana, Daniel Kostrzewa, Krzysztof Tokarz, Che-Lun Hung, Dariusz Mrozek
2024GAN Stabilization Under Practical Training Assumptions.
Joshua DeOliveira, Walter Gerych, Elke A. Rundensteiner
2024GAN-based Anomaly Detection for Urban Sensing.
Kyle DeMedeiros, Marwan F. Abdelatti, Abdeltawab M. Hendawi
2024GNN-ARG: A Graph Neural Network-based Framework for Predicting Antibiotic Resistance Genes.
Mohd Manzar Abbas, Amit Ranjan, Supratik Mukhopadhyay, Aixin Hou
2024GNN-Based Persistent K-core Community Search in Temporal Graphs.
Zongli Jiang, Yirui Tan, Guoxin Chen, Fangda Guo, Jinli Zhang, Xiaolu Bai
2024GPT-4 on Clinic Depression Assessment: An LLM-Based Pilot Study.
Giuliano Lorenzoni, Pedro Elkind Velmovitsky, Paulo S. C. Alencar, Donald D. Cowan
2024GPURank: A Cloud GPU Instance Recommendation System.
Shravika Mittal, Kanak Mahadik, Ryan A. Rossi, Sungchul Kim, Handong Zhao
2024GRAINRec: Graph and Attention Integrated Approach for Real-Time Session-Based Item Recommendations.
Bhavtosh Rath, Pushkar Chennu, David Relyea, Prathyusha Kanmanth Reddy, Amit Pande
2024GRASP: Municipal Budget AI Chatbots for Enhancing Civic Engagement.
Jerry Xu, Justin Wang, Joley Leung, Jasmine Gu
2024Gen-AI for User Safety: A Survey.
Akshar Prabhu Desai, Tejasvi Ravi, Mohammad Luqman, Mohit Sharma, Nithya Kota, Pranjul Yadav
2024GenAI Tools to Improve Data Science Project Outcomes.
Akit Kumar, M. S. Lakshmi Devi, Jeffrey S. Saltz
2024Gender Inequality in Vehicle Safety: Insights from Logistic Regression and Random Forest Analysis.
Jonathan Li
2024Generalized compression and compressive search of large datasets.
Morgan E. Prior, Thomas J. Howard III, Emily Light, Najib Ishaq, Noah M. Daniels
2024Generating Descriptive Explanations of Machine Learning Models Using LLM.
Andrew Pang, Hyeju Jang, Shiaofen Fang
2024Generating Phishing Attacks and Novel Detection Algorithms in the Era of Large Language Models.
Jeffrey Fairbanks, Edoardo Serra
2024Geographical Information Alignment Boosts Traffic Analysis via Transpose Cross-attention.
Xiangyu Jiang, Xiwen Chen, Hao Wang, Abolfazl Razi
2024Geographical Insights into Suicide Mortality Through Spatial Machine Learning.
Viswadeep Lebakula, Swapna S. Gokhale, Anuj J. Kapadia, Jodie Trafton, Alina Peluso
2024Geospatial Data and Multimodal Fact-Checking for Validating Company Data.
Gabriela Alves Werb, Patrick Felka, Lisa Reichenbach, Susanne Walter, Ece Yalcin-Roder
2024Global and Local Structure Learning for Sparse Tensor Completion.
Dawon Ahn, Evangelos E. Papalexakis
2024Global-local Fourier Neural Operator for Accelerating Coronal Magnetic Field Model.
Yutao Du, Qin Li, Raghav Gnanasambandam, Mengnan Du, Haimin Wang, Bo Shen
2024Graph Neural Network Guided Music Mashup Generation.
Xinyang Wu, Andrew Horner
2024Graph Neural Networks for Precision-Guaranteed Compression of Large-scale Data.
Kamiar Khayambashi, Negin Alemazkoor
2024Graph Representation Learning for Dengue Forecasting.
Jiaqi Weng, David Qiu, Ethan Cruz, Malik Magdon-Ismail, Thilanka Munasinghe, Jennifer C. Wei, Ashan Pathirana, Mahi Pasarkar
2024Graph of Logic: Enhancing LLM Reasoning with Graphs and Symbolic Logic.
Fatimah Alotaibi, Adithya Kulkarni, Dawei Zhou
2024GraphAide: Advanced Graph-Assisted Query and Reasoning System.
Sumit Purohit, George Chin, Patrick S. Mackey, Joseph A. Cottam
2024GraphHash: Topic-Aware Influence Maximization Using Hash.
Qian Tang, Peilin Guo, Jiaqi Guo
2024Groundwater Level Prediction: Analyzing the Performance of LSTM and QLSTM Model.
Aditi Saha, Mohammad Ashiqur Rahman, Fan Wu
2024Guiding Urban Inclusivity: opening the public space in cities for women.
Genoveva Vargas-Solar, Ana-Sagrario Castillo-Camporro
2024HILITE: Human-in-the-loop Interactive Tool for Image Editing.
Arya Pasumarthi, Armaan Sharma, Jainish H. Patel, Ayush Bheemaiah, Subhadra Vadlamannati, Seth Chang, Sophia Li, Eshaan Barkataki, Yutong Zhang, Diyi Yang, Graham Neubig, Simran Khanuja
2024HL-LSM: A LSM-Tree Combined with Read Hotness and Learned Index.
Hong Tan, Hui Li, Xiaopeng Wang, Weixiang Huang, Runhuai Huang, Shaowen Deng, Jianping Wu
2024HLAT: High-quality Large Language Model Pre-trained on AWS Trainium.
Haozheng Fan, Hao Zhou, Guangtai Huang, Parameswaran Raman, Xinwei Fu, Gaurav Gupta, Dhananjay Ram, Yida Wang, Jun Huan
2024Hardware Generation on Trigonometric Functions.
Paul Wong, Dania Susanne Mosuli, Xuechen Zhang, Xiaokun Yang
2024Harnessing the Power of Graph Neural Networks for Personalized Rail Recommendations.
Bora Edizel, Sri Haindavi Koppuravuri, Mark Gannaway, Puja Das, Kamilia Ahmadi
2024Harnessing the Power of Vocal Signals in COVID-19 Detection Utilizing Machine Learning.
Aleesa Mann, Ajinkya P. Jadhav, Richard Matovu, Vibhuti Gupta
2024Hex2Sign: Automatic IDS Signature Generation from Hexadecimal Data using LLMs.
Prasasthy Balasubramanian, Tarek Ali, Mohammad Salmani, Danial Khosh Kholgh, Panos Kostakos
2024Hierarchical Federated Learning with Privacy.
Varun Chandrasekaran, Suman Banerjee, Diego Perino, Nicolas Kourtellis
2024High-Resolution Poverty Mapping with Foundation Models: A Cost-effective Approach from Street Views to Satellite Images.
William Lu, Zhili Li, Yiqun Xie
2024Historic Black Lives Matter: Recovering Hidden Knowledge in Archives through Interactive Data Visualization.
Lori A. Perine
2024HotelWatch: A Hotel Identification System to Combat Human Trafficking.
Akanksha Pankaj Joshi, Ira Sharma, Sai Milind Nimkar, Yashvi Sanjaykumar Desai, Mahima Agumbe Suresh
2024Hotspots of Eviction: Guiding Dual-Track Policy Intervention with Spatial Analysis.
Wooyong Jung, Maryam Tabar, Dongwon Lee
2024How Effective is AI-Powered Social Media Analysis: Mining Reddit Conversations on Emergency Rooms.
Nathan He, Victor Tang, Huanmei Wu
2024How Much You Can Get at the Cost of Your Privacy.
Umar Albalawi
2024Hybrid Ensemble Deep Graph Temporal Clustering for Spatiotemporal Data.
Francis Ndikum Nji, Omar Faruque, Mostafa Cham, Vandana P. Janeja, Jianwu Wang
2024Hypergraph of Text: a Mathematical Structure for Organizing and Analyzing Big Text Data.
Dean E. Alvarez, ChengXiang Zhai
2024ICL: An Incentivized Collaborative Learning Framework.
Xinran Wang, Qi Le, Ahmad Faraz Khan, Jie Ding, Ali Anwar
2024ID and Graph View Contrastive Learning with Multi-View Attention Fusion for Sequential Recommendation.
Xiaofan Zhou, Kyumin Lee
2024IDNet: A Novel Identity Document Dataset via Few-Shot and Quality-Driven Synthetic Data Generation.
Lulu Xie, Yancheng Wang, Hong Guan, Soham Nag, Rajeev Goel, Niranjan Erappa Narayana Swamy, Yingzhen Yang, Chaowei Xiao, Jonathan Prisby, Ross Maciejewski, Jia Zou
2024IEEE Big Data Cup 2024 Report: Predicting Chess Puzzle Difficulty at KnowledgePit.ai.
Jan Zysko, Maciej Swiechowski, Sebastian Stawicki, Katarzyna Jagiela, Andrzej Janusz, Dominik Slezak
2024IEEE International Conference on Big Data, BigData 2024, Washington, DC, USA, December 15-18, 2024
Wei Ding, Chang-Tien Lu, Fusheng Wang, Liping Di, Kesheng Wu, Jun Huan, Raghu Nambiar, Jundong Li, Filip Ilievski, Ricardo Baeza-Yates, Xiaohua Hu
2024INFA-FinOps for Cloud Data Integration.
Atam Prakash Agrawal, Anant Mittal, Shivangi Srivastava, Michael Brevard, Valentin Moskovich, Mosharaf Chowdhury
2024INTEGRATE-KG: A Workflow For Unifying Heterogeneous Data Driven by Shared Languages.
Nahed Abu Zaid, Kara Schatz, Kimberly Bourne, Darrell Harry, Christine Hendren, Anna-Maria Marshall, Khara Grieger, Jacob Jones, Alexey V. Gulyuk, Yaroslava G. Yingling, Rada Chirkova
2024IRSKG: Unified Intrusion Response System Knowledge Graph Ontology for Cyber Defense.
Damodar Panigrahi, Shaswata Mitra, Subash Neupane, Sudip Mittal, Benjamin A. Blakely
2024Idempotence-Constrained Representation Learning: Balancing Sensitive Information Elimination and Feature Robustness.
Xiaoxuan Fan, Bochuan Song, Sai Zhang, Pengfei Zhang, Yuxue Yang
2024Identification of factors that induce recreational cycling using a route generation model.
Hiro Yoshida, Kaira Sekiguchi, Yukio Ohsawa
2024Identifying Optimal Window Size Configurations for Big Data Time Series Forecasting.
David L. John, Sebastian Binnewies, Bela Stantic
2024Identifying Outliers in AI-based Image Compression.
Rizwan A. Ashraf, Luanzheng Guo, Hyungro Lee, Nathan R. Tallent
2024Identifying Probable Neurological Disorders with Explainable Machine Learning Techniques.
Neha Khatriya, Tianjie Chen, Md Faisal Kabir, Timothy W. Brearly
2024Identifying Rapidly Evolving Genes in Coral Species to Better Understand Coral Bleaching.
Adrita Samanta, Lenore Cowen
2024Image Segmentation of Bacterial Biofilms to Study Pathogen-Surface Interactions.
Sita Sirisha Madugula, Blythe Dumerer, Ruben Millan-Solsona, Checa Nualart Marti, Liam Collins, Rama K. Vasudevan, Retterer Scott, Lance Zhang, Spencer Cox, Jennifer Lynn Morrell-Falvey
2024Impact of Buyer Strategy and Market Size on Data Marketplace Dynamics: A Network-Based Simulation Study.
Jun Sashihara, Teruaki Hayashi
2024Impact of Noise in Large Real-World Datasets on Semi-Supervised Object Detection: A Case Study of Homeless Encampments Detection.
Bhavyesh Sajja, Seon Ho Kim
2024Implementation of Point-Based Scoring Model for Fraud Detection.
Sue Lhymn
2024Importance Sampling to Learn Vasopressor Dosage to Optimize Patient Mortality in an Interpretable Manner.
Anshul Rastogi, Dongjin Song Mentor
2024Improving Automated Feature Selection in Cancer Genomics Using Reinforcement Learning.
Hannah Z. Wang, Wei Zhang
2024Improving CLIP for Biomedical Retrieval: A Multi-Margin Contrastive Loss Approach.
Ejan Shakya, Haritha Prasad Rayakota, Pei-Chi Huang
2024Improving Data Science Applications with a Visual Cross-Platform Execution Environment.
Lucas M. Ponce, Dorgival O. Guedes
2024Improving Energy Consumption Forecasting with Contextual Awareness: A Hybrid Deep Learning Perspective.
Sundas Sarwar, Diletta Chiaro, Edoardo Prezioso, Sara Amitrano, Salvatore Cuomo, Francesco Piccialli
2024Improving Gamma Imaging in Proton Therapy by Sanitizing Compton Camera Simulated Patient Data using Neural Networks through the BRIDE Pipeline.
Michael O. Chen, Julian Hodge, Peter L. Jin, Ella Protz, Elizabeth Wong, Ruth Obe, Ehsan Shakeri, Mostafa Cham, Matthias K. Gobbert, Carlos A. Barajas, Vijay R. Sharma, Sina Mossahebi, Lei Ren, Stephen W. Peterson, Jerimy C. Polf
2024Improving I/O-aware Workflow Scheduling via Data Flow Characterization and trade-off Analysis.
Luanzheng Guo, Meng Tang, Hyungro Lee, Jesun Firoz, Nathan R. Tallent
2024Improving Medical Imaging Model Calibration through Probabilistic Embedding.
Bonian Han, Yuktha Priya Masupalli, Xin Xing, Gongbo Liang
2024Improving Multi-Domain Task-Oriented Dialogue System with Offline Reinforcement Learning.
Dharmendra Prajapat, Durga Toshniwal
2024Improving Neural Networks Dropout Using An Enhanced Weights Scaling.
Aviv Yehezkel
2024Improving Sequential Recommender Systems with Online and In-store User Behavior.
Luyi Ma, Aashika Padmanabhan, Anjana Ganesh, Shengwei Tang, Jiao Chen, Xiaohan Li, Lalitesh Morishetti, Kaushiki Nag, Malay Patel, Jason H. D. Cho, Sushant Kumar, Kannan Achan
2024Improving the Text Convolution Mechanism with Large Language Model for Review-Based Recommendation.
Yoonhyuk Choi, Fahim Tasneema Azad
2024In the Eyes of the Bystander: Are the Stances on Different Conflicts Correlated?
Yiyao Tao, Hengyu Zhang, Babli Dey, Selenge Tulga, Hanjia Lyu, Jiebo Luo
2024Incomplete Multi-Kernel k-Means Clustering With Fractional-Order Embedding.
Deheng Xu, Yun Li, Yunhao Yuan, Jipeng Qiang, Yi Zhu
2024Indexing Economic Fluctuation Narratives from Keiki Watchers Survey.
Eriko Shigetsugu, Hiroki Sakaji, Itsuki Noda
2024Inferring Relationships between Tabular Data and Topics using LLM for a Dataset Search Task.
Yukihisa Fujita, Teruaki Hayashi, Masahiro Kuwahara
2024InfoTech Assistant: A Multimodal Conversational Agent for InfoTechnology Web Portal Queries.
Sai Surya Gadiraju, Duoduo Liao, Akhila Kudupudi, Santosh Kasula, Charitha Chalasani
2024Informed Named Entity Recognition Decoding for Generative Language Models.
Tobias Deußer, Lars Hillebrand, Christian Bauckhage, Rafet Sifa
2024Insights About Causality Detection in Financial Text - Towards an Informed Approach.
Maren Pielka, Rafet Sifa
2024Insurance Anti-fraud based on FL-WOE Encoding for Vertical Federated Learning.
Wenyou Du, Haihang Wang, Jiaming Shen, Guanglei Meng, He Li, Wei Zhou
2024Integrating Demand Hotspots and Adjusted Spatial Indexing for Urban Taxi Demand Prediction.
Restu Nugroho, Irene Erlyn Wina Rachmawan, Prananda Kamaluddin Rafif, Ferrizal
2024Integrating Flow and Structure in Diagrams for Data Science.
Enea Vincenzo Napolitano, Elio Masciari, Carlos Ordonez
2024Integrating Machine Learning and Rule-Based Approaches in Symbolic Music Generation.
Tsubasa Tanaka
2024Integrating MedCLIP and Cross-Modal Fusion for Automatic Radiology Report Generation.
Qianhao Han, Junyi Liu, Zengchang Qin, Zheng Zheng
2024Integrating Multimodal Geospatiotemporal Data for Societal, Economic, and Environmental (SEE) Analysis of Large Agricultural Systems.
Olatunde Akanbi, Jiaqi Li, Vibha Mandayam, Arafath Nihar, Yinghui Wu, Laura S. Bruckman, Jeffrey M. Yarus, Erika I. Barcelos, Roger H. French
2024Integrating categorical and continuous data in a cluster-then-classify methodology for predicting undergraduate student success.
John Fields, Kevin Chovanec, Praveen Madiraju
2024Integration of Blockchain Technology in Collaborative Scientific Workflows.
Shiyong Lu, Junwen Liu, Yong Zhao, Changxin Bai
2024Interacting Evolution of Modeling and Data Exchange : A Case for Predicting Chemical-Protein Interactive Visualization.
Jianshi Wang, Yukio Ohsawa
2024Interactive Visualization of BioMedical Data.
Mohammad Shafiqul Islam, Rahat Ibn Rafiq, Günter Tusch
2024Interpretable Data-Driven Risk Assessment in Support of Predictive Maintenance of a Large Portfolio of Industrial Vehicles.
Fabian Fingerhut, Elena Tsiporkova, Veselka Boeva
2024Interpretable Deep Learning For Automated Retinal Damage Detection in Optical Coherence Tomography.
R. Suganya, Abhiram Sharma, R. Srivats, Kalyanasundaram V, Selvanayaki Kolandapalayam Shanmugam
2024Interpreting Graphic Notation with MusicLDM: An AI Improvisation of Cornelius Cardew's Treatise.
Tornike Karchkhadze, Keren Shao, Shlomo Dubnov
2024Interval cracking and its application to databases of complex geometries.
Masoumeh Vahedi, Henning Christiansen
2024Introducing the Converse k-clustering Problem.
Byron J. Gao
2024Investigating Data Protection Mechanisms for EEG Biometric Authentication.
Cristopher Hernandez, Mohammad Husain
2024Is ChatGPT the Future of Causal Text Mining? A Comprehensive Evaluation and Analysis.
Takehiro Takayanagi, Masahiro Suzuki, Ryotaro Kobayashi, Hiroki Sakaji, Kiyoshi Izumi
2024Is it Fine to Tune? Evaluating SentenceBERT Fine-tuning for Brazilian Portuguese Text Stream Classification.
Bruno Yuiti Leão Imai, Cristiano Mesquita Garcia, Marcio Vinicius Rocha, Alessandro Lameiras Koerich, Alceu de Souza Britto Jr., Jean Paul Barddal
2024Is the Lecture Engaging? Lecture Sentiment Analysis for Knowledge Graph-Supported Intelligent Lecturing Assistant (ILA) System.
Yuan An, Samarth Kolanupaka, Jacob An, Matthew Ma, Unnat Chhatwal, Alex Kalinowski, Michelle Rogers, Brian Smith
2024JSocialFact: a Misinformation dataset from Social Media for Benchmarking LLM Safety.
Tomoka Nakazato, Masaki Onishi, Hisami Suzuki, Yuya Shibuya
2024Juris-Informatics: Law for AI and Law of AI.
Ken Satoh, Hideaki Takeda, Randy Goebel, Yoshinobu Kano, Mi-Young Kim, Juliano Rabelo, Masaharu Yoshioka
2024K-GBS3FCM - KNN Graph-Based Safe Semi-Supervised Fuzzy C-Means.
Gabriel Machado Santos, Rita Maria da Silva Julia, Marcelo Zanchetta do Nascimento
2024KG-CF: Knowledge Graph Completion with Context Filtering under the Guidance of Large Language Models.
Zaiyi Zheng, Yushun Dong, Song Wang, Haochen Liu, Qi Wang, Jundong Li
2024KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion.
Donghyun Jeon, Wenbo Sun, Houbing Herbert Song, Dongfang Liu, Alvaro Velasquez, Chloe Yixin Xie, Shuteng Niu
2024Key Compression Limits for k-Minimum Value Sketches.
Charlie Dickens, Eric Bax, Alexander Saydakov
2024Keymines: Extracting Minimal Keyphrases for Sub-Events in Disaster Situations.
Ademola Adesokan, Sanjay Madria
2024Knowledge Distillation in Mixture of Experts for Multi-Modal Medical LLMs.
Mohit Nathani, Rajat Soni, Rajiv Mishra
2024Knowledge Graph-Based Multi-Agent Path Planning in Dynamic Environments using WAITR.
Ted Edward Holmberg, Elias Ioup, Mahdi Abdelguerfi
2024Knowledge Injection of Structural CyberSecurity Concept into Large Language Models.
Tung-Jui Hsieh, Yun-Cheng Yao, Shun-Wen Hsiao
2024Knowledge Management for Automobile Failure Analysis Using Graph RAG.
Yuta Ojima, Hiroki Sakaji, Tadashi Nakamura, Hiroaki Sakata, Kazuya Seki, Yuu Teshigawara, Masami Yamashita, Kazuhiro Aoyama
2024Knowledge Transfer Predictive Models for Power Outage Caused by Various Types of Extreme Weather Events.
Jangjae Lee, Stephanie German Paal
2024LDA model for privacy access based on trajectories and POIs.
Min Zhu, Huijun Dai, Xiaoling Gui, Yi Huang
2024LEAP: Lifelong Learning Edge-Cloud Adaptive Fused Framework for Mobility Prediction.
Shamil Al-Ameen, Bharath Sudharsan, Roua Al-Taie, Tejal Shah, Rajiv Ranjan
2024LIA: Privacy-Preserving Data Quality Evaluation in Federated Learning Using a Lazy Influence Approximation.
Ljubomir Rokvic, Panayiotis Danassis, Sai Praneeth Karimireddy, Boi Faltings
2024LIFE: Leader-driven Hierarchical & Inclusive Federated Learning.
Wenhao Li, Christos Anagnostopoulos, Shameem Puthiya Parambath, Kevin Bryson
2024LIVE-ITS: LSH-based Interactive Visualization Explorer for Large-Scale Incomplete Time Series.
Hongjie Chen, Aaron D. Beachnau, Panos Thomas, Pranav Maneriker, Josh Kimball, Ryan A. Rossi
2024LLM Augmentations to support Analytical Reasoning over Multiple Documents.
Raquib Bin Yousuf, Nicholas Defelice, Mandar Sharma, Shengzhe Xu, Naren Ramakrishnan
2024LLM Chain Ensembles for Scalable and Accurate Data Annotation.
David Farr, Nico Manzonelli, Iain Cruickshank, Kate Starbird, Jevin West
2024LLM as a Tool for Trust-Creating Communication in the Data Marketplace.
Son Yeon Hyuk, Kaira Sekiguchi, Yukio Ohsawa
2024LLM-based Hierarchical Label Annotation for Foodborne Illness Detection on Social Media.
Dongyu Zhang, Ruofan Hu, Dandan Tao, Hao Feng, Elke A. Rundensteiner
2024LLM4cast: Repurposed LLM for Viral Disease Forecasting.
Farah Saeed, Mohammed Aldosari, Ismailcem Budak Arpinar, John A. Miller
2024LOCOS: A cosine based local gene expression pattern finding algorithm on time-series data.
Youjeong Suk, Jaemin Jeon, Inuk Jung
2024LPLgrad: Optimizing Active Learning Through Gradient Norm Sample Selection and Auxiliary Model Training.
Shreen Gul, Mohamed Elmahallawy, Sanjay Madria, Ardhendu Tripathy
2024LSTM-Based Unsupervised Anomaly Detection in High-Performance Computing: A Federated Learning Approach.
Emmen Farooq, Andrea Borghesi
2024Large Language Model Empowered Spatio-Visual Queries for Extended Reality Environments.
Mohammadmasoud Shabanijou, Vidit Sharma, Suprio Ray, Rongxing Lu, Pulei Xiong
2024Large Language Models for Financial Aid in Financial Time-series Forecasting.
Md. Khairul Islam, Ayush Karmacharya, Timothy Joowon Sue, Judy Fox
2024Large Language Models in Data Governance: Multi-source Data Tables Merging.
Linfeng Li, Hong Chen, Zhijie Qiu, Lei Luo
2024Large Model Fine-tuning for Suicide Risk Detection Using Iterative Dual-LLM Few-Shot Learning with Adaptive Prompt Refinement for Dataset Expansion.
Jingyun Bi, Wenxi Zhu, Jingyun He, Xinshen Zhang, Chong Xian
2024Large Scale Evaluation of Deep Learning-based Explainable Solar Flare Forecasting Models with Attribution-based Proximity Analysis.
Temitope Adeyeha, Chetraj Pandey, Berkay Aydin
2024Large-Scale Knowledge Graph Embeddings in Apache Spark.
Bedirhan Gergin, Charalampos Chelmis
2024Latent Cluster Discovery in a Collection of Low Count Non-Gaussian Time Series in Economics Domain.
Ishani Chakraborty, Genie Rubaiyat
2024Leading the Mastodon Herd: Analysing the Traits of Influential Leaders on a Decentralised Social Media Platform.
Luke Gassmann, Ryan McConville, Matthew Edwards
2024Learning with Sparsely Permuted Data: A Robust Bayesian Approach.
Abhisek Chakraborty, Saptati Datta
2024Leveraging BERT and Network-Based Attention Analysis for Identifying Treatment Milestones in EHRs.
Minsu Kim, Sol Kim, Byung Park
2024Leveraging Big Data Technologies for Practical Radio Frequency Fingerprinting Applications.
Stefan Kunze, Wolfgang Dorner
2024Leveraging Data-Driven Innovation and Digital Technologies for Sustainable Transformation in Urban Disaster Risk Management.
Saebom Jin
2024Leveraging Digital Twin Technologies for Public Space Protection and Vulnerability Assessment.
Artemis Stefanidou, Jorgen Cani, Thomas Papadopoulos, Panagiotis I. Radoglou-Grammatikis, Panagiotis G. Sarigiannidis, Iraklis Varlamis, Georgios Th. Papadopoulos
2024Leveraging Graph Clustering for Differentially Private Graph Neural Networks.
Sager Kudrick, Renata Dividino
2024Leveraging LLMs for Fair Data Labeling and Validation in Crowdsourcing Environments [Vision Paper].
Ibrahim Mohamed Serouis, Florence Sèdes
2024Leveraging Large Language Models and Deep Learning for Detecting Illegal Insider Trading.
Anoop Adusumilli, Sheikh Rabiul Islam, Iman Dehzangi, June Kim
2024Leveraging Large Language Models for Dynamic Scenario Building targeting Enhanced Cyber-threat Detection and Security Training.
Charalampos Marantos, Spyridon Evangelatos, Eleni Veroni, George Lalas, Konstantinos Chasapas, Ioannis T. Christou, Pantelis Lappas
2024Leveraging Large Language Models for Few-Shot KPI Extraction from Financial Reports.
Tobias Deußer, Cong Zhao, Daniel Uedelhoven, Lorenz Sparrenberg, Lars Hillebrand, Christian Bauckhage, Rafet Sifa
2024Leveraging Large Language Models for Institutional Portfolio Management: Persona-Based Ensembles.
Yoshia Abe, Shuhei Matsuo, Ryoma Kondo, Ryohei Hisano
2024Leveraging Large Language Models for Suicide Detection on Social Media with Limited Labels.
Vy Nguyen, Chau Pham
2024Leveraging MTD to Mitigate Poisoning Attacks in Decentralized FL with Non-IID Data.
Chao Feng, Alberto Huertas Celdrán, Zien Zeng, Zi Ye, Jan von der Assen, Gérôme Bovet, Burkhard Stiller
2024Leveraging Machine Learning for Autonomous Ultrasonic Mitigation of Harmful Algal Blooms Along the Pacific Coast.
Varun Rao, Sajeev Magesh
2024Leveraging Machine Learning, Transformers, and Large-Scale Chemical Data to Predict TGF-β1 Inhibitors for Cardiac Fibrosis Treatment.
Aiden Chavda
2024Leveraging Multi-Agent Systems and Large Language Models for Diabetes Knowledge Graphs.
Duy H. Ho, Udiptaman Das, Regina Ho, Yugyung Lee
2024Leveraging Multimodal Models for Enhanced Neuroimaging Diagnostics in Alzheimer's Disease.
Francesco Chiumento, Mingming Liu
2024Leveraging Privacy-Enhancing Technology to Better Serve the United States' Public.
Makini Chisolm-Straker, Lav R. Varshney
2024Leveraging Race Prediction Algorithms to Enhance Team Composition in Big Data Science Teams.
Thanathip Chumthong, Kulsawasd Jitkajornwanich, Obada Kraishan, Kerk F. Kee, Akan Narabin
2024Leveraging Spatio-Temporal Locality in Linear Model Trees for Multi-Step Time Series Forecasting.
Annunziata D'Aversa, Gianvito Pio, Michelangelo Ceci
2024Leveraging Structured and Unstructured Data for Tabular Data Cleaning.
Pavitra Mehra, El Kindi Rezig
2024Liars are More Influential: Effect of Deception in Influence Maximization on Social Networks.
Mehmet Emin Aktas, Esra Akbas, Ashley Hahn
2024Lightweight Transformer exhibits comparable performance to LLMs for Seizure Prediction: A case for light-weight models for EEG data.
Paras Parani, Umair Mohammad, Fahad Saeed
2024Link Ontology Analytics: Representing COVID-19 Data as Network Links.
Abhilash C. Basavaraju, Manjunath K. V, Animesh Chaturvedi, Kavi Mahesh
2024LiveDataLab: A Cloud-based Open Lab for Integrating Big Data Research, Education, and Applications.
ChengXiang Zhai
2024Living off the Analyst: Harvesting Features from Yara Rules for Malware Detection.
Siddhant Gupta, Fred Lu, Andrew Barlow, Edward Raff, Francis Ferraro, Cynthia Matuszek, Charles Nicholas, James Holt
2024Log Sculptor: Making Logs Great Again.
Aditya Kulkarni, Prathit Mehta, Ravi Kumar Singh, Mayank Mishra, Shruti Kunde, Rekha Singhal, Manoj Nambiar
2024LongKey: Keyphrase Extraction for Long Documents.
Jeovane Honório Alves, Radu State, Cinthia Obladen de Almendra Freitas, Jean Paul Barddal
2024Low Field MRI Deep Learning Framework for Non-Hospitalizing Early Detection and Characterization of Alzheimer's Disease Pathology.
Aarav Minocha, Seungyong Yang, Jainish H. Patel, Ivan Ma
2024Luckiness Normalized Maximum Likelihood-based Change Detection for High-dimensional Graphical Models with Missing Data.
Zhongyi Que, Linchuan Xu, Kenji Yamanishi
2024MADOD: Generalizing OOD Detection to Unseen Domains via G-Invariance Meta-Learning.
Haoliang Wang, Chen Zhao, Feng Chen
2024MALAGA - MultidimensionAL Big DAta Analytics over Massive Graph DAta.
Alfredo Cuzzocrea, Mojtaba Hajian, Abderraouf Hafsaoui
2024MAcPNN: Mutual Assisted Learning on Data Streams with Temporal Dependence.
Federico Giannini, Emanuele Della Valle
2024MEC- Assisted Task offloading using Meta-Reinforcement Learning for B5G/6G Network.
Priyadarshni, Praveen Kumar, Shivani Tripathi, Akshun Pratap Dubey, Rajiv Misra
2024MECG-E: Mamba-based ECG Enhancer for Baseline Wander Removal.
Kuo-Hsuan Hung, Kuan-Chen Wang, Kai-Chun Liu, Wei-Lun Chen, Xugang Lu, Yu Tsao, Chii-Wann Lin
2024MIBR: Bridging Domains through Diverse Interests for Cross-Domain Sequential Recommendation.
Chengzhe Zhang, Xu Min, Changsheng Li, Xiaolu Zhang, Weichang Wu, Jun Zhou, Ye Yuan, Guoren Wang
2024MPI Allgather Utilizing CXL Shared Memory Pool in Multi-Node Computing Systems.
HooYoung Ahn, Seonyoung Kim, Yoo-Mi Park, Woojong Han, Shinyoung Ahn, Tu Tran, Bharath Ramesh, Hari Subramoni, Dhabaleswar K. Panda
2024MPLite: Multi-Aspect Pretraining for Mining Clinical Health Records.
Eric Yang, Pengfei Hu, Xiaoxue Han, Yue Ning
2024Machine Learning (ML) Classifier to Assist Metadata Creation.
Hannah Collier, Eric Enright, Sujata Goswami, Chirag Shah, Maggie Davis, Rachael Isphording
2024Machine Learning-Based Correlation Analysis of Fuel Consumption and Automobile Air Conditioning System Usage.
Laila Miles Kaddoura, Alexis Fernandez, Erin Brown, Neha Ananthavaram, Taehyung Wang
2024Macroscopic Emission Modeling of Urban Traffic Using Probe Vehicle Data: A Machine Learning Approach.
Mohammed Adlouni, Ling Jin, Xiaodan Xu, C. Anna Spurlock, Alina Lazar, Kaveh Farokhi Sadabadi, Mahyar Amirgholy, Mona Asudegi
2024Magnol.Ai - an Internet of Medical Things (IoMT) Platform for Digital Health Research.
Hui Zhang, Guangchen Ruan, Roland Hartich, Neel Patel, Ming Zhong, Andrew Kaczorek, Leah Miller, Regan Giesting, Wentao Li, Bo Zhang, Hui Xiao, Reagan Porter, Brian E. Winger, Jian Yang
2024Making History Readable.
Bipasha Banerjee, Jennifer Goyne, William A. Ingram
2024Masked Autoencoders are Parameter-Efficient Federated Continual Learners.
Yuchen He, Xiangfeng Wang
2024Materials-aware Entity Augmentation for Continued Pre-training in Materials Science.
Sangyun Kim
2024Maturity Assessment of Appraisal Processes in the AI Age: Ongoing Framework and Measuring Method.
Basma Makhlouf Shabou
2024Measuring Application Interference With System-Level Instrumentation.
Soeren Becker, Robin Goegge, Odej Kao
2024MedReg-KG: KnowledgeGraph for Streamlining Medical Device Regulatory Compliance.
Subhankar Chattoraj, Karuna Pande Joshi
2024MedTimeSplit: Continual dataset partitioning to mimic real-world settings for federated learning on Non-IID medical image data.
Erikson Júlio De Aguiar, Agma J. M. Traina, Sumi Helal
2024MediRAG: Secure Question Answering for Healthcare Data.
Emily Jiang, Alice Chen, Irene Tenison, Lalana Kagal
2024Melanoma Classification using GAN based augmentation and Self-Supervised feature extraction.
Akanksha Lal, Sadhana Tiwari, Rushil Patra, Sonali Agarwal
2024Mental Level Prediction using Long Sentence Discriminators and Language Generation Models.
Masahiro Suzuki
2024Meta-Learning for Debiasing Recommendation using Simulated Uniform Data.
Sibo Lu, Zhen Liu, Xinxin Yang, Yilin Ding, Yibo Gao, Yafan Yuan
2024Metadata-based Data Exploration with Retrieval-Augmented Generation for Large Language Models.
Teruaki Hayashi, Hiroki Sakaji, Jiayi Dai, Randy Goebel
2024Metadata-less Dataset Recommendation Leveraging Dataset Embeddings by Pre-trained Tabular Language Models.
Kosuke Manabe, Yukihisa Fujita, Masahiro Kuwahara, Teruaki Hayashi
2024Methods for Addressing the Societal Challenges of Malicious Narratives in Social Media Using AI/ML Analysis: a Case Study of Hate Speech.
Andy Skumanich, Han Kyul Kim
2024Minimizing Regret in Social Media Advertisement
Poonam Sharma, Dildar Ali, Suman Banerjee
2024Mining Satellite Imagery for Offshore Wind Energy.
Cristian Noriega Monsalve, Aparna S. Varde
2024Mitigating Gradient Overlap in Deep Residual Networks with Gradient Normalization for Improved Non-Convex Optimization.
Juyoung Yun
2024Mitigating Sycophancy in Large Language Models via Direct Preference Optimization.
Azal Ahmad Khan, Sayan Alam, Xinran Wang, Ahmad Faraz Khan, Debanga Raj Neog, Ali Anwar
2024Mitigating Visual Limitations of Research Papers.
Ibrahim Al Azher, Hamed Alhoori
2024MixMAS: A Framework for Sampling-Based Mixer Architecture Search for Multimodal Fusion and Learning.
Abdelmadjid Chergui, Grigor Bezirganyan, Sana Sellami, Laure Berti-Équille, Sébastien Fournier
2024Mobility Patterns of Trailers Around International Container Terminals: A Case Study in Sendai Port, Japan.
Huixuan Zheng, Chenbo Zhao, Yoshiki Ogawa, Ryuichi Shibasaki, Naoya Fujiwara
2024Mobility Scooter Riding Behavior Stability Analysis Based on Multimodal Contrastive Learning.
Justin Chung, Chenrui Zhang, Tingting Chen
2024Model Selection for HERITAGE-AI: Evaluating LLMs for Contextual Data Analysis of Maryland's Domestic Traffic Ads (1824-1864).
Rajesh Kumar Gnanasekaran, Lori A. Perine, Mark Conrad, Richard Marciano
2024Model and Data Management for Machine Learning (M2ML): Integrating Instruments, Edge and HPC for Accelerated Machine Learning.
Weijian Zheng, Hemant Sharma, Ryan Chard, Peter Kenesei, Jun-Sang Park, Nicholas Schwarz, Antonino Miceli, Ian T. Foster, Rajkumar Kettimuthu
2024Model-agnostic Body Part Relevance Assessment for Pedestrian Detection Model Benchmarking.
Maurice Günder, Sneha Banerjee, Rafet Sifa, Christian Bauckhage
2024Modeling Lunar Surface Charging Using Physics-Informed Neural Networks.
Niloofar Zendehdel, Adib Mosharrof, Katherine Delgado, Daoru Han, Xin Liang, Tong Shu
2024Modular Deep Reinforcement Learning: Enhancing Flexibility through Agent Splitting.
Chong Tian, Danda B. Rawat
2024Monarch: Distributed Butterfly Counting for Large-scale Bipartite Graph.
Yuxin Tang, Mangesh Bendre, Mahashweta Das
2024Monitoring Recombinant Protein Titer in Escherichia Coli Fermentations Using Filtering Techniques.
Paul Okafor, Zahed Siddique, Talayeh Razzaghi
2024Moral Frameworks and Sentiment in Tweets: A Comparative Study of Public Opinion on the Israeli-Palestine Conflict.
Yulu Qiu, Yutong Ye, Xupin Zhang, Jiebo Luo
2024Moral Instruction Fine Tuning for Aligning LMs with Multiple Ethical Principles.
Jongchan Choi, Mingyu Kim, Sungju Lee
2024More than the Sum of its Parts: Applying Topic Modeling and Explainable AI to Deep Learning in Understanding Problematic Opioid Use.
Terri Elizabeth Workman, Joel Kupersmith, Ying Yin, Qing Zeng-Treitler
2024Moves Based Prediction of Chess Puzzle Difficulty with Convolutional Neural Networks.
Dymitr Ruta, Ming Liu, Ling Cen
2024Multi-Agent Decision Transformers for Dynamic Dispatching in Material Handling Systems Leveraging Enterprise Big Data.
Xian Yeow Lee, Haiyan Wang, Daisuke Katsumata, Takaharu Matsui, Chetan Gupta
2024Multi-Modality Transformer for E-Commerce: Inferring User Purchase Intention to Bridge the Query-Product Gap.
Srivatsa Mallapragada, Ying Xie, Varsha Rani Chawan, Zeyad Hailat, Yuanbo Wang
2024Multi-Scale Demographic Analysis of Covid-19 Booster Vaccination Rates Using Graph Neural Networks.
Hossein Naderi, Ziba Abbasian, Yxia Huang, Taoran Ji
2024Multi-agent Simulation for Mass School Shootings.
Wei Dai, Yash Pratap Singh, Rui Zhang
2024Multi-layered Clustering for Context-aware Monitoring of District Heating Network.
Veselka Boeva, Shahrooz Abghari, Vishnu Manasa Devagiri, Jens Brage
2024Multi-task Learning with Pre-trained Language Models for Mental Illness Screening.
Avantika Shrestha, M. L. Tlachac, Ricardo Flores, Kevin Hickey, Elke A. Rundensteiner
2024Multi-task Recommendation in Marketplace via Knowledge Attentive Graph Convolutional Network with Adaptive Contrastive Learning.
Xiaohan Li, Zezhong Fan, Luyi Ma, Kaushiki Nag, Kannan Achan
2024Multilingual Student Performance Prediction Using Llama 3.
Buddhi Ayesha, Umashanger Thayasivam, Uthayasanker Thayasivam
2024Multimodal Deep Learning for Online Meme Classification.
Stephanie Han, Sebastian Leal-Arenas, Eftim Zdravevski, Charles C. Cavalcante, Zois Boukouvalas, Roberto Corizzo
2024Multimodal Learning on Temporal Data.
Ye Xue, Diego Klabjan, Jean Utke
2024Multimodal Threat Evaluation in Simulated Wargaming Environments.
Pierre Vanvolsem, Koen Boeckx, Xavier Neyt
2024Multimodal survival prediction using TabTransformer and BioClinicalBERT on MIMIC-III.
Beatrice Insalata, Fabian Schmidt, Vladimir Vlassov
2024Multiscale Dubuc: A New Similarity Measure for Time Series.
Mahsa Khazaei, Azim Ahmadzadeh, Krishna Rukmini Puthucode
2024Multivariate Data Augmentation for Predictive Maintenance using Diffusion.
Andrew Thompson, Alexander Sommers, Alicia Russell-Gilbert, Logan Cummins, Sudip Mittal, Shahram Rahimi, Maria Seale, Joseph Jabour, Thomas Arnold, Joshua Church
2024Multivariate Time Series Clustering for Environmental State Characterization of Ground-Based Gravitational-Wave Detectors.
Rutuja Gurav, Isaac Kelly, Pooyan Goodarzi, Anamaria Effler, Barry C. Barish, Evangelos E. Papalexakis, Jonathan W. Richardson
2024Multivariate Wind Speed Forecasting based on Improved TDformer.
Aoran Xu, Xiaoyan Gu, Xingfen Wang, Wei Shang
2024Music Copyright Infringement Detection via Heterogeneous Attention Network.
Sukbeom Chang, Hyeonsu Seong, Joo Hee Oh
2024Musical Scene Detection in Comics: Comparing Perception of Humans and GPT-4.
Megha Sharma, Muhammad Taimoor Haseeb, Gus Xia, Yoshimasa Tsuruoka
2024Myanmar Law Cases and Proceedings Retrieval with GraphRAG.
Shoon Lei Phyu, Shuhayel Jaman, Murataly Uchkempirov, Parag Kulkarni
2024MycorrhiSEE: a High-Resolution Image Dataset for Deep Learning Based Quantification of Arbuscular Mycorrhizal Fungi.
Shufan Zhang, Thirimachos Bourlai, Jonathan Arnold
2024Narrative Simplification in Human and AI Retelling.
Yuuri Tanaka, Yasuhiro Hashimoto
2024Natural Language Processing for Extracting Rich Disease Data Aligned To Satellite Meteorological Data.
Mahi Pasarkar, Junseob Kim, Eoin O'Gara, Alan Zhang, Malik Magdon-Ismail, Thilanka Munasinghe, Jiaqi Weng, David Qiu, Ethan Cruz, Jennifer C. Wei, Ashan Pathirana
2024Natural Language Querying on NoSQL Databases: Opportunities and Challenges [Vision Paper].
Wenlong Zhang, Tian Shi, Ping Wang
2024Near Real-Time Wildfire Damage Assessment using Aerial Thermal Imagery and Machine Learning.
Saqib Azim, Mai H. Nguyen, Daniel Crawl, Jessica Block, Rawaf Al Rawaf, Francesca Hart, Mark Campbell, Robert Scott, Ilkay Altintas
2024Network Fragility: Dual Graph Insights into Link and Node Removal Using Effective Resistance.
Carmela Comito, Annalisa Socievole
2024NeuroBooster: A Robust Classifier for the Discovery of Neuropeptide Sequences based on Meta-learning Approach.
Md. Shazzad Hossain Shaon, Md. Fahim Sultan, Tasmin Karim, Md. Shoaib Hossain Alshan, Alfredo Cuzzocrea, Mst. Shapna Akter
2024Next Topic Recommendation for Influencers on Social Media.
Masafumi Iwanaga, Keishi Tajima, Yoko Yamakata
2024Next-Generation Phishing: How LLM Agents Empower Cyber Attackers.
Khalifa Afane, Wenqi Wei, Ying Mao, Junaid Farooq, Juntao Chen
2024No Time to Choose: Leveraging Internet Scans to Determine IoC Lifetimes.
Hugo L. J. Bijmans, M. S. C. van Leuken
2024Noise2Inverse for 3D Low-Dose Cone-Beam Computed Tomography.
Austin Yunker, Jason Luce, John C. Roeske, Rajkumar Kettimuthu, Hyejoo Kang, Sebastien Gros, Alec M. Block
2024Non-Uniform Parameter-Wise Model Merging.
Albert Manuel Orozco Camacho, Stefan Horoi, Guy Wolf, Eugene Belilovsky
2024Norma: A Framework for Finding Threshold Associations Between Continuous Variables Using Point-wise Functions.
Md. Mahin, Christoph F. Eick
2024Not All Malware are Born Equally: An Empirical Analysis of Adversarial Evasion Attacks in Relation to Malware Types and PE Files Structure.
Prabhath Mummaneni, Kshitiz Aryal, Mahmoud Abdelsalam, Maanak Gupta
2024Nuclear Pore Segmentation in 3D FIB-SEM Images with Dynamic Cyclical Data Augmentation.
Chongyu He, Zhiwu Xie, Yinlin Chen, Edward A. Fox
2024NysAct: A Scalable Preconditioned Gradient Descent using Nyström Approximation.
Hyunseok Seung, Jaewoo Lee, Hyunsuk Ko
2024ODKT-IAC: Integrating Continual and Adaptive Learning for Personalized Path Recommendations.
Huu Trong Le, Tien Van Tran, Thu Nguyen
2024OL4TeX: Adaptive Online Learning for Text Classification under Distribution Shifts.
Min-Seon Kim, Ling Liu, Hyuk-Yoon Kwon
2024ORDDC'2024: State of the art Solutions for Optimized Road Damage Detection.
Deeksha Arya, Hiroshi Omata, Hiroya Maeda, Yoshihide Sekimoto
2024ORIS: Online Active Learning Using Reinforcement Learning-based Inclusive Sampling for Robust Streaming Analytics System.
Rahul Pandey, Ziwei Zhu, Hemant Purohit
2024OSDA-ST: Advancing Open Set Domain Adaptation Through Selective Thresholding in Remote Sensing.
Andy Wang, Rahul Gomes, Papia F. Rozario
2024OSR-ViT: A Simple and Modular Framework for Open-Set Object Detection and Discovery.
Matthew Inkawhich, Nathan Inkawhich, Hao Yang, Jingyang Zhang, Randolph Linderman, Yiran Chen
2024On Energy-aware and Verifiable Benchmarking of Big Data Processing targeting AI Pipelines.
Georgios Theodorou, Sophia Karagiorgou, Christos Kotronis
2024On Modeling Adaptive Index Management as Adversarial Search.
Gajendra Doniparthi, Tim Otto, Stefan Deßloch
2024On Rank Selection for Nonnegative Matrix Factorization.
Srinivas Eswar, Koby Hayashi, Benjamin Cobb, Ramakrishnan Kannan, Grey Ballard, Richard W. Vuduc, Haesun Park
2024On Text Granularity and Metric Frameworks for Large Language Model Content Detection.
Linh Le, Dung Tran
2024On Vessel Schedule Delay and Its Recoveries in Liner Services Using AIS Data.
Eisuke Watanabe, Sukanya Samanta, Kenta Kowatari, Ryuichi Shibasaki
2024On the Effectiveness of Text and Image Embeddings in Multimodal Hate Speech Detection.
Nora Lewis, Charles C. Cavalcante, Zois Boukouvalas, Roberto Corizzo
2024On the use of Machine Learning to Discover Novel Donor-Acceptor Pairs For Organic Photovoltaic Devices.
Khoukha Khoussa, Patrick Leveque, Larbi Boubchir
2024OncoPrint++: An Enhanced OncoPrint Beyond Data Visualization for Clinical Bioinformatics and Genomics.
Shiquan Wu, Kwangbom Choi, Paul Jung, Jifeng Qian, Paul Hiser, Melih Acar, Edith Szafer Glusman, Leo Wang-Kit Cheung
2024One Model Multiple Insights: CNNs for Medical Image Classification.
A. K. M. Shahariar Azad Rabby, Pratim Saha, Sheikh Abujar, Fuad Rahman
2024One-Shot Clustering for Federated Learning.
Maciej Krzysztof Zuziak, Roberto Pellungrini, Salvatore Rinzivillo
2024Online Signature Processing for Biometric User Authentication and Identification.
Mohamed Alae-Eddine Eladlani, Larbi Boubchir, Khadidja Benallou
2024Ontology-driven knowledge base for digital humanities: Restructuring knowledge organization at the library of the Folkwang University of the Arts.
Andrea Linxen, Vera-Maria Schmidt, Harald Klinke, Christian Beecks
2024OpenResume: Advancing Career Trajectory Modeling with Anonymized and Synthetic Resume Datasets.
Michiharu Yamashita, Thanh Tran, Dongwon Lee
2024Opportunities and Challenges of Generative-AI in Finance.
Akshar Prabhu Desai, Tejasvi Ravi, Mohammad Luqman, Ganesh Satish Mallya, Nithya Kota, Pranjul Yadav
2024Optimal Scheduling Algorithms for Cost-Effective Bandwidth Reservation in HPNs.
Liudong Zuo, Pan Lai, Zhong Chen
2024Optimal Transport for Efficient, Unsupervised Anomaly Detection on Industrial Data.
Abigail Langbridge, Fearghal O'Donncha, James T. Rayfield, Bradley Eck
2024Optimization-Based Grid Energy Management System with BESS and EV Charging Load for Peak Shaving.
Shreyas Kulkarni, K. R. Sheetal Kumar, Akhash Vellandurai, Vinoth Kumar
2024Optimized Precision Time Source and Time Synchronization Simulation.
Rui Zhang, Alexander Tu, Wei Dai
2024Optimized Road Damage Detection Using Enhanced Deep Learning Architectures for Improved Inference Speed and Accuracy.
Jaemin Jeong, Ji-Ho Cho, Jeong-Gun Lee
2024Optimizing Data Ingestion for Big Data: A Cloud-Based Design Pattern Approach.
Chiara Rucco, Antonella Longo, Motaz Saad
2024Optimizing Deployment of Homomorphic Encryption and SQL using Reinforcement Learning.
Ryan Marinelli, Åvald Åslaugson Sommervoll, Laszlo Tibor Erdodi
2024Optimizing Diverse Information Exposure in Social Graphs.
Jonathan Colin, Silviu Maniu
2024Optimizing Energy Consumed by Analytics in the Cloud.
Carlos Ordonez, Wojciech Macyna
2024Optimizing Imputation Accuracy With DRL-Based Sensor-less Scheduling.
Akhash Vellandurai, Ankit Sharma, Thiruvengadam Samon, Vinoth Kumar, Kingshuk Banerjee
2024Optimizing Legal Information Access: Federated Search and RAG for Secure AI-Powered Legal Solutions.
Flora Amato, Egidia Cirillo, Mattia Fonisto, Alberto Moccardi
2024Optimizing Liquid Neural Networks: A comparative study of LTCs and CFCs.
Pranav Deepak Tanna, Siddharth Khare, Sanyam Sanjay Jain, Shivodit Raj Vishnoi, Samay Roy, Jagat Sesh Challa
2024Optimizing Luxury Vehicle Dealership Networks: A Graph Neural Network Approach to Site Selection.
Luca Silvano Carocci, Qiwei Han
2024Optimizing Privacy While Limiting Information Loss in Distributed Data Anonymization.
Arseme Vadèle Djeufack Nanfack, Gaël Le Mahec, Gilles Dequen
2024Optimizing Rare Disease Patient Matching with Large Language Models.
Armin Berger, Ali Hamza Bashir, David Berghaus, Mowmita, Nazia Afsan, Lorenz Grigull, Lara Fendrich, Henriette Högl, Gundula Ernst, Ralf Schmidt, David Bascom, Tom Anglim Lagones, Tobias Deußer, Thiago Bell, Max Lübbering, Rafet Sifa
2024Optimizing Road Damage Detection with YOLOv10: A Resource-Efficient Approach Utilizing Augmentation, Data Sampling, and Hyperparameter Tuning.
Ashkan Behzadian, Tanner Wambui Muturi, Neema Jakisa Owor, Yaw Adu-Gyamfi
2024Optimizing Semantic Joinability in Heterogeneous Data: A Triplet-Based Approach with Pre-trained Deep Learning Models.
Magnus Guldberg Pedersen, Benjamin Kock Fazal, Kyoung-Sook Kim
2024Optimizing YOLO Architectures for Optimal Road Damage Detection and Classification: A Comparative Study from YOLOv7 to YOLOv10.
Vung Pham, Lan Dong Thi Ngoc, Duy-Linh Bui
2024Optimizing an LLM Prompt for Accurate Data Extraction from Firearm-Related Listings in Dark Web Marketplaces.
Chaido Porlou, Maria Makrynioti, Anastasios Alexiadis, Georgios Stavropoulos, George Pantelis, Konstantinos Votis, Dimitrios Tzovaras
2024OrionBench: Benchmarking Time Series Generative Models in the Service of the End-User.
Sarah Alnegheimish, Laure Berti-Équille, Kalyan Veeramachaneni
2024Ourmuse: Plot-Specific AI Music Generation for Video Advertising.
Hyeseong Park, Myung Won Raymond Jung, Sanjarbek Rakhmonov, Sngon Kim
2024Overcoming Data Imbalance in Federated Learning with Calibration Weighting.
Nathaniel Kang, Yugyeong Lim, Jongho Im
2024Overview of IEEE BigData 2024 Cup Challenges: Suicide Ideation Detection on Social Media.
Jun Li, Yifei Yan, Ziyan Zhang, Xiangmeng Wang, Hong Va Leong, Nancy Xiaonan Yu, Qing Li
2024PCCMerge: a parallel method based on merging partial connected components in large graphs.
Hubert Naacke, Noé Curé, Olivier Curé
2024PRECEDE: Climate and Energy Forecasts to Support Energy Communities with Deep Learning Models.
Francesco Dattola, Pasquale Iaquinta, Miriam Iusi, Deborah Federico, Raffaele Greco, Marco Talerico, Valentina Coscarella, Luca Legato, Ivana Pellegrino, Sonia Bergamaschi, Mirko Orsini, Riccardo Martoglia, Andrea Livaldi, Abeer Jelali, Simone Sbreglia, Tommaso Ruga, Ester Zumpano, Luciano Caroprese, Camilla Lops, Sergio Montelpare, Mariano Pierantozzi, Maira Aracne
2024PRS-Net: A Few-shot Network for Perirenal Fat and Renal Parenchyma Semantic Segmentation.
Xiangyu Meng, Tianming Du, Zihao Wang, Shuai Ye, Shuaiyi Tian, Kunyang Teng, Marcin Grzegorzek, Tao Jiang, Hongzan Sun, Chen Li
2024PUSHGNN: A Low-communication Runtime System for GNN Acceleration on Multi-GPUs.
Guoqing Xiao, Li Xia, Yuedan Chen, Wangdong Yang
2024PV-DETR: A Multimodal Fault Detection Model of PV Arrays based on Parallel Block Attention.
Wanghu Chen, YiHua Luo, Long Li, Jing Li
2024Paediatric Pneumonia chest X-ray image classification with association to Lung cancer disease using ResNet50 Deep Learning Model.
Daniel F. O. Onah, Hamde Risak Warsame
2024Pairwise Learning to Rank for Chess Puzzle Difficulty Prediction.
Andry Rafaralahy
2024Pan-Cancer Tumor Infiltrating Lymphocyte Detection based on Federated Learning.
Ujjwal Baid, Sarthak Pati, Tahsin M. Kurç, Rajarsi Gupta, Erich Bremer, Shahira Abousamra, Siddhesh P. Thakur, Joel H. Saltz, Spyridon Bakas
2024Parallel Motif-Based Community Detection.
Tianyi Chen, Charalampos E. Tsourakakis
2024Partially training, isolating and unlearning, mitigating backdoor attack.
Yong Li, Han Gao, Hao Chen, Yiming Wang, Chun Yu
2024PerSSD: Persistent, Shared, and Scalable Data with Node-Local Storage for Scientific Workflows in Cloud Infrastructure.
Paula Olaya, Sophia Wen, Jay F. Lofstead, Michela Taufer
2024Performance Characterization of Expert Router for Scalable LLM Inference.
Josef Pichlmeier, Philipp Ross, André Luckow
2024Performance Comparison of Deep Learning Models for CO2 Prediction: Analyzing Carbon Footprint with Advanced Trackers.
Anil Verma, Sumit Kumar Singh, Rupesh Kumar Sah, Rajiv Misra, T. N. Singh
2024Performance Evaluation of Multi-Contrast Dixon MRI and CT for Abdominal Fat and Muscle Segmentation Using a UNet CNN.
Andrew Heller, Andrew Liu, Lin-Ching Chang, Gregg Cohen, Elizabeth C. Jones, Li-Yueh Hsu
2024Performance of Data Model over Computational Power in CDP Platforms.
Rahul Mundlamuri, Hassan Siddiqi, Sohail Wadera
2024Periscope: A Framework for Visualizations of Multiresolution Spatiotemporal Data at Scale.
Everett Lewark, Matthew Young, Paahuni Khandelwal, Sangmi Lee Pallickara, Shrideep Pallickara
2024Personalized Federated Learning Techniques: Empirical Analysis.
Azal Ahmad Khan, Ahmad Faraz Khan, Haider Ali, Ali Anwar
2024Personalized Federated Learning by Domain-Aware Network Pruning and Re-growth.
Yuto Suzuki, Farnoush Banaei Kashani
2024Personalized Federated Learning for Gastric Cancer: Adaptive Inference from Large Heterogeneous Piecewise Electronic Health Record Based Biomedical Data.
Hengrui Hu, Anai N. Kothari, Anjishnu Banerjee
2024Personalized Learning Path Recommendations: Fusing Knowledge Graph Embedding, Sequence Mining, and Collaborative Filtering.
Huy Ngo, Khanh Vo, Thu Nguyen
2024Personalized Multi-task Training for Recommender System.
Liangwei Yang, Zhiwei Liu, Jianguo Zhang, Rithesh Murthy, Shelby Heinecke, Huan Wang, Caiming Xiong, Philip S. Yu
2024Perturbation-driven data augmentation for time series anomaly detection improvement in predictive maintenance.
HyeYoung Lee, Sangkyun Lee, Sungjoon Choi
2024Piecewise Computation of Persistent Homology.
Rohit P. Singh, Nicholas O. Malott, Philip A. Wilsey
2024Placement of Swarm UAV for Data Collection: A Deep Reinforcement Learning Approach.
Aswini Ghosh, Nelson Sharma, Rajiv Misra
2024PlugVFL: Robust and IP-Protecting Vertical Federated Learning against Unexpected Quitting of Parties.
Jingwei Sun, Zhixu Du, Anna Dai, Saleh Baghersalimi, Alireza Amirshahi, David Atienza, Yiran Chen
2024Polarization Prism: Facilitating Diverse Viewpoint Reflection by Mining Unseen Perspectives in Social Media Polarization.
Koki Noda, Tomoki Fukuma, Toshihide Ubukata, Yoshiharu Ichikawa, Kyosuke Kambe, Yu Masubuchi, Fujio Toriumi
2024Poly Instance Recurrent Neural Network for Real-time Lifelong Learning at the Low-power Edge.
Shamil Al-Ameen, Bharath Sudharsan, Tejus Vijayakumar, Tomasz Szydlo, Tejal Shah, Rajiv Ranjan
2024Power Outage Forecasting for System Resiliency during Extreme Weather Events.
Anika Tabassum, SangKeun Lee, Narayan Bhusal, Supriya Chinthavali
2024Power of Sentence Transformers in Record Linkage.
Mestan Firat Çeliktug, Murat Kantarcioglu
2024Practical Considerations of Fully Homomorphic Encryption in Privacy-Preserving Machine Learning.
Dan Chia-Tien Lo, Yong Shi, Hossain Shahriar, Bobin Deng, Xinyue Zhang, Mei-Lan Chen
2024Practical Experiment of Predicting Cash Flows with LSTM and Double-entry Bookkeeping Data.
Ryoki Motai, Sota Mashiko, Masato Kamebuchi, Sora Watanabe, Ryo Matsumoto, Yukihiko Okada
2024Pre-Trained Language Models with Topic Attention for Supervised Document Structure Learning.
Dang Pham, Tuan M. V. Le
2024Pre-trained Transformer Uncovers Meaningful Patterns in Human Mobility Data.
Alameen Najjar
2024Predicting Cardiac Complications of Myocardial Infarction Patients Using Machine Learning.
Shriyansh Baidya, Vibhuti Gupta
2024Predicting ChatGPT's Ability to Solve Complex Programming Challenges.
Nguyen Ho, James J. May, Bao Ngo, Jack Formato, Linh Ngo, Van Long Ho, Hoang Bui
2024Predicting Chess Puzzle Difficulty with Transformers.
Szymon Milosz, Pawel Kapusta
2024Predicting Surface Water Bacteria Levels Using Transfer Learning and Domain Adaptation.
Ali Elahi, David Shumway, Megan Kowalcyk, Abhilasha Shrestha, Nikita Gautam, Doina Caragea, Cornelia Caragea, Samuel Dorevitch
2024Predictive Modeling for Early Alzheimer's Disease Using Natural Language Processing.
Azra Emekci
2024Premenstrual Syndrome Detection Based on Granular Computing and AI in Home Environment.
Lukasz Sosnowski, Iwona Szymusik
2024Preparing Wearable Data for AI-Powered Mood and Compliance Prediction in HCT Patients and Caregivers.
Charles B. Ziegenbein, Bengie L. Ortiz, Vibhuti Gupta, Sung Won Choi
2024Prioritizing Potential Wetland Areas via Region-to-Region Knowledge Transfer and Adaptive Propagation.
Yoonhyuk Choi, Reepal Shah, John Sabo, Huan Liu, K. Selçuk Candan
2024Privacy Preserving Federated Learning for Advanced Scientific Ecosystems.
Rick Archibald, Addi Malviya-Thakur, Marshall T. McDonnell, Gregory Cage, Cody Stiner, Lance Drane, M. Paul Laiu, Michael J. Brim, Mathieu Doucet, William T. Heller, Ryan Coffee
2024Privacy-Preserving Big Data Analytics Using Homomorphic Encryption: A Comprehensive Evaluation in Healthcare Applications.
Chandradutt Nareshkumar Patel
2024Privacy-Preserving Federated Interpretability.
Azra Abtahi, Amin Aminifar, Amir Aminifar
2024Privacy-Preserving Federated Learning for Science: Challenges and Research Directions.
Kibaek Kim, Krishnan Raghavan, Olivera Kotevska, Matthieu Dorier, Ravi K. Madduri, Minseok Ryu, Todd S. Munson, Robert Ross, Thomas Flynn, Ai Kagawa, Byung-Jun Yoon, Christian Engelmann, Farzad Yousefian
2024Privacy-Preserving Identity and Access Management in Multiple Cloud Environments: Models, Issues, and Solutions.
Alfredo Cuzzocrea, Islam Belmerabet
2024Privacy-Preserving Publishing with Generative Adversarial Network (GAN) for Supporting Contact Tracing of Infectious Diseases.
Anifat M. Olawoyin, Carson K. Leung, Hoang Hai Nguyen, Alfredo Cuzzocrea
2024Private Synthetic Data Generation for Mixed Type Datasets.
Irene Tenison, Ashley Chen, Navpreet Singh, Omar Dahleh, Eliott Zemour, Lalana Kagal
2024ProbSAINT: Probabilistic Tabular Regression for Used Car Pricing.
Kiran Madhusudhanan, Gunnar Behrens, Maximilian Stubbemann, Lars Schmidt-Thieme
2024Problematic Tokens: Tokenizer Bias in Large Language Models.
Jin Yang, Zhiqiang Wang, Yanbin Lin, Zunduo Zhao
2024Prompt Chaining-Assisted Malware Detection: A Hybrid Approach Utilizing Fine-Tuned LLMs and Domain Knowledge-Enriched Cybersecurity Knowledge Graphs.
Neha Mohan Kumar, Fahmida Tasnim Lisa, Sheikh Rabiul Islam
2024Proposing a Low-Rank Approximation Method with Mathematical Guarantees for High-Dimensional Tensor Data.
Hiroki Hasegawa, Kazuyoshi Yata, Yukihiko Okada, Jun Kunimatsu
2024Pruned Graph Neural Networks for Efficient Edge Classification and Fast Inference.
Henry Paschke, James Gaboriault-Whitcomb, Carson Zoccole, Alina Lazar
2024Public Sentiment on Security Cameras.
M. Fahad Khalid, Usman Muhammad, R. Saugmann Andersen, Mourad Oussalah
2024Quality-Aware Experience Exploitation in Model-Based Reinforcement Learning.
Guang Yang, Jiahe Li, Ziye Geng, Changqing Luo
2024QualityNet: Error-bounded Lossy Compression Quality Prediction via Deep Surrogate.
Khondoker Mirazul Mumenin, Dong Dai, Jinzhen Wang, Sheng Di
2024Quantifying Collective Emotions: Japan's Societal Trends Through Enhanced Sentiment Index Using POMS2 and SNS.
Koutarou Tamura, Yukie Sano, Junichi Shiozaki
2024Quantifying the Relevance of Youth Research Cited in the US Policy Documents.
Miftahul Jannat Mokarrama, Hamed Alhoori
2024Quantum Kernel Based Transient Stability Assessment of Power Systems and Its Implementation in NISQ Environment.
Trisha Sabadra, Sijia Yu, Yifan Zhou
2024RAGFix: Enhancing LLM Code Repair Using RAG and Stack Overflow Posts.
Elijah Mansur, Johnson Chen, Muhammad Anas Raza, Mohammad Wardat
2024RAGe Against the Machine with BERT for Proactive Cybersecurity Posture.
Brennan Lodge
2024RCDP: A Privacy-Preserving Approach for Synthesizing Realistic Commuting Data.
Xiaoying Liu, Juanjuan Zhao, Xitong Gao, Kejiang Ye
2024RFMI-based Customer Segmentation with K-means.
Wensheng Gan, Pinlyu Zhou, Shicheng Wan, Jiyuan Zeng, Zhenlian Qi
2024RLEM: Deep Reinforcement Learning Ensemble Method for Aircraft Recovery Problem.
Dominik Zurek, Marcin Pietron, Szymon Piórkowski, Michal Karwatowski, Kamil Faber
2024RPS: A Generic Reservoir Patterns Sampler.
Lamine Diop, Marc Plantevit, Arnaud Soulet
2024RYAN: A tool for explaining and visually analyzing the evolution of Relaxed Functional Dependencies.
Loredana Caruccio, Stefano Cirillo, Gianpaolo Iuliano, Giuseppe Polese, Roberto Stanzione
2024Random Forest-Supervised Manifold Alignment.
Jake S. Rhodes, Adam G. Rustad
2024Real-Time Finger-Video Analysis for Accurate Identity Verification in Mobile Devices.
Sulabh Shrestha, Emanuela Marasco, Babek H. Norouzlou
2024Real-Time Prediction of Residents' ADL using Asynchronous Multivariables Time-series Signals.
Homin Kang, Cheolhwan Lee, Soon Ju Kang
2024Reasoning Over Streaming System Performance Using Response Surface Methodology.
Stuart Jamieson, Matthew Forshaw
2024Recipe Recommendation Chatbot Based on Low FODMAP Dietary Knowledge Graph.
Sultan Turhan, Mustafa Berk Bacaksiz
2024Recommendation model based on knowledge graphs and semantic alignment.
Zhiyue Xiong, Hankiz Yilahun, Askar Hamdulla
2024Reconsider Time Series Analysis for Insider Threat Detection.
Chia-Cheng Chen, Hsing-Kuo Pao
2024Recursive Queries: Twenty-Five Years After SQL: 1999.
Marta J. Burzanska, Piotr Wisniewski, Krzysztof Stencel
2024Reduction of Traffic Congestion by Using Chaotic Traffic Flow in a Scaled Traffic Model.
Takahiro Noguchi, Hiroyasu Ando, Ryunosuke Fukuzaki, Yumi Watahiki, Isamu Takahara
2024Refined and Segmented Price Sentiment Indices from Survey Comments.
Masahiro Suzuki, Hiroki Sakaji
2024Reject Inference as a Noisy Label Detection and Counterfactual Correction Task.
Charalampos Chelmis, Mahsa Azarshab, Khandker Sadia Rahman, Mehrdad Mirpourian
2024Relationships between Keywords and Strong Beats in Lyrical Music.
Callie C. Liao, Duoduo Liao, Ellie L. Zhang
2024Reliable Time Series Counterfactual Explanations Guided by ShapeDBA.
Peiyu Li, Pouya Hosseinzadeh, Omar Bahri, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi
2024Remote Fault Detection of Anemometers Using Machine Learning on Simulated Wake Models.
Aidan Norris, Hussein Abdeltawab
2024Resources Construction and LLM Fine-tuning for Education of Computer Science.
Bingjiao Wang, Yong Zhang, Qinglei Zeng
2024Responsible AI for Government Program Evaluation and Performance Audits.
Daniel F. Fonner, Frank P. Coyle
2024Rethinking Embedding Vectors for Electric Vehicle Charging Stations: An Empirical Study.
Seyedmehdi Khaleghian, Thanh-Nam Doan, Joe Knox, Mina Sartipi
2024Retrieving Top-k Hyperedge Triplets: Models and Applications.
Jason Niu, Ilya D. Amburg, Sinan G. Aksoy, Ahmet Erdem Sariyüce
2024Revealing Patterns in Artificial Earthquake Misinformation: Detecting Stubborn Conspiracy Adherents through Social Media Analysis in Japan.
Dongwoo Lim, Fujio Toriumi, Mikihito Tanaka
2024Revealing Universities' Atmosphere from Visitor Interests Using Search Queries and GPS Logs.
Kaoru Miyanaga, Soto Anno, Kota Tsubouchi, Masamichi Shimosaka
2024Revisiting System-Heterogeneous Federated Learning through Dynamic Model Search.
Dixi Yao
2024Revitalizing Language Processing with Intelligent Syntax Repair and Boolean Tensor Completion.
Anagha Narasimha Joshi
2024Risk Diversification Strategy with Moving Average Reversion for Automatic Portfolio Optimization.
Yuki Hayashi, Atsuyoshi Nakamura
2024Road Damage Detection with Models Learning from Each Other.
Fangjun Wang, Jianing Wei, Nan Zhang, Yasuto Watanabe, Shunichi Watanabe, Genta Suzuki, Zhiming Tan
2024Robot See, Robot Do: Imitation Reward for Noisy Financial Environments.
Sven Goluza, Tomislav Kovacevic, Stjepan Begusic, Zvonko Kostanjcar
2024SAFENet: Towards a Robust Suicide Assessment in Social Media Using Selective Prediction Framework.
Surendrabikram Thapa, Mohammad Salman, Siddhant Bikram Shah, Qi Zhang, Junaid Rashid, Liang Hu, Imran Razzak, Usman Naseem
2024SE(3) Equivariant Neural Network for 3D Graphs.
Sarp Aykent, Tian Xia
2024SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text.
Weiqing He, Bojian Hou, Tianqi Shang, Davoud Ataee Tarzanagh, Qi Long, Li Shen
2024SHR: Enhancing Event Argument Extraction Ability of Large language Models with Simple-Hard Refining.
Jinghan Wu, Chunhong Zhang, Zheng Hu, Jibin Yu
2024SIGHT: Stacked Integration of Geospatial Hierarchical Typologies for Inferring Building Characteristics.
Daniel S. Adams, Jessica Moehl, Clinton Stipek, Taylor Hauser, Peter Li
2024SLLIM-Rank: A Multi-Stage Item-to-Item Recommendation Model using Learning-to-Rank.
Kamilia Ahmadi, Arjun Gathwala, Jason Osajima, David Hsiao, Puja Das
2024SLWM: A Library for Implementing Complex Training Workflows for surrogates of MPC's.
Stijn Bellis, Joachim Denil, Ramesh Krishnamurthy, Guillermo A. Pérez
2024SO(3) Equivariant Framework for Spatial Networks.
Tian Xia, Sarp Aykent
2024SPrint: Self-Paced Continual Learning with Adaptive Curriculum and Memory Replay.
Min-Seon Kim, Ling Liu, Hyuk-Yoon Kwon
2024SSRepL-ADHD: Adaptive Complex Representation Learning Framework for ADHD Detection from Visual Attention Tasks.
Abdul Rehman, Ilona Heldal, Jerry Chun-Wei Lin
2024SVP: Enhancing Security and Scalability for Metaverse Blockchain Through Integrating Stake in Voting-based Consensus Protocol.
Wuyang Li, Hui Li, Qiufan Wu, Han Wang, Weimin Zeng, Yanping Zhang, Xiyu Wang, Ping Lu, Weixiang Huang, Runhuai Huang
2024Scalable Big Spatial Data Processing with SQL Query Compilation and Distributed Morsel-driven Parallelism.
Rahul Sahni, Xiaozheng Zhang, Sudip Chatterjee, Suprio Ray
2024Scalable Data Management in Dataspaces: Benchmarking MongoDB Sharding.
Sara Dana Kabl Talabani, Cristian Martella, Antonella Longo, Marco Zappatore
2024Scalable Sampling for High Utility Patterns.
Lamine Diop, Marc Plantevit
2024Scalable SubXPCA with Extended Morphological Profiles Applied to Hyperspectral Image Classification on a Distributed Platform.
Bogolu Rupa, Atul Negi
2024Scaling LLM-Based Knowledge Graph Generation: A Case Study of Italian Geopolitical News.
Diego Russo, Gian Marco Orlando, Antonio Romano, Giuseppe Riccio, Valerio La Gatta, Marco Postiglione, Vincenzo Moscato
2024Scaling Siamese Neural Network for Cross-Domain Few Shot Learning in Medical Imaging.
Jinan Fiaidhi, Sabah Mohammed
2024Scoring with Large Language Models: A Study on Measuring Empathy of Responses in Dialogues.
Henry J. Xie, Jinghan Zhang, Xinhao Zhang, Kunpeng Liu
2024Screening Students for Stress Using Fitbit Data.
Rebecca Lopez, Avantika Shrestha, Kevin Hickey, Xingtong Guo, M. L. Tlachac, Shichao Liu, Elke A. Rundensteiner
2024SecureSphere: Advancing Security and Robustness in Query Processing over Outsourced Data.
Eray Dogan, Meghdad Mirabi, Carsten Binnig
2024Securing Vision-Language Models with a Robust Encoder Against Jailbreak and Adversarial Attacks.
Md. Zarif Hossain, Ahmed Imteaj
2024Securing the AI Frontier: Urgent Ethical and Regulatory Imperatives for AI-Driven Cybersecurity.
Vikram Kulothungan
2024Seeing the Unseen: A Forecast of Cybersecurity Threats Posed by Vision Language Models.
Maryam Taeb, Judy Wang, Mark H. Weatherspoon, Shonda Bernadin, Hongmei Chi
2024Semantic Question Answering: Deep Learning and NoSQL Solution for the Medical Domain.
Koussay Khelil, Ghada Besbes, Hajer Baazaoui Zghal
2024Semantic grounding of LLMs using knowledge graphs for query reformulation in medical information retrieval.
Antonela Tommasel, Ira Assent
2024Semantics Preserving Emoji Recommendation with Large Language Models.
Zhongyi Qiu, Kangyi Qiu, Hanjia Lyu, Wei Xiong, Jiebo Luo
2024Semantics-Aware Path Ranking On Information Extracted from Knowledge Graphs.
Zhuocheng Mei, Kara Schatz, Nahed Abu Zaid, Rada Chirkova
2024Semi-Supervised Multi-Source Sea Ice Classification in Small-Data Regime.
Samira Alkaee Taleghan, Morteza Karimzadeh, Andrew P. Barrett, Walter N. Meier, Farnoush Banaei Kashani
2024Semi-supervised Configuration and Optimization of Anomaly Detection Algorithms on Log Data.
Viktor Beck, Max Landauer, Markus Wurzenberger, Florian Skopik, Andreas Rauber
2024Semi-supervised Learning to Defer Algorithm for Lung Disease Diagnosis.
Haoqing Chen, Bo Jin, Xiangfeng Wang
2024SentimentGPT: Leveraging GPT for Advancing Sentiment Analysis.
Kiana Kheiri, Hamid Karimi
2024Sequential Recommendation via Adaptive Robust Attention with Multi-dimensional Embeddings.
Linsey Pang, Amir Hossein Raffiee, Wei Liu, Keld Lundgaard
2024SeriesGAN: Time Series Generation via Adversarial and Autoregressive Learning.
MohammadReza EskandariNasab, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi
2024Server-Heartbeat-Based Task Failure Prediction: An Industrial Case Study.
Mestan Firat Çeliktug, Huseyin Gomleksizoglu
2024Session-based News Recommendation Using Cohesive Patterns.
Mozhgan Karimi, Len Feremans, Boris Cule, Bart Goethals
2024Ship Detection from Optical Remote Sensing Images.
Merve Demir
2024Short Paper: Predictive Trajectory Stream Indexing.
Nam Phung, Abdul Samad, Eleazar Leal, Le Gruenwald
2024Shrink: Data Compression by Semantic Extraction and Residuals Encoding.
Guoyou Sun, Panagiotis Karras, Qi Zhang
2024Sifting US Census Records with Computer Vision and Machine Learning.
Gregory N. Jansen
2024Similarity-based Filtering for Defending Against Malicious Clients in Federated Learning.
Yunseong Kim, Seunghyun Yoon
2024Single-pass Hierarchical Text Classification with Large Language Models.
Fabian Schmidt, Karin Hammerfald, Henrik Haaland Jahren, Amir Hossein Payberah, Vladimir Vlassov
2024Skepticism and Sentiment Analysis to Understand Consumer Perception of Virtual Influencers in Social Media Advertising.
Smitha Muthya Sudheendra, Maral Abdollahi, Dongyeop Kang, Jisu Huh, Jaideep Srivastava
2024SkipSNN: Efficiently Classifying Spike Trains with Event-attention.
Hang Yin, Yao Su, Liping Liu, Thomas Hartvigsen, Xin Dai, Xiangnan Kong
2024Slice-Level Label Attention with Global-Guided Attention Regularization for Multi-Label Classification in Knee MRI Sequences.
Jingzhi Yang, Hua Shen, Ziyu Liu, Weilong Wu, Ji Wu, Ming Ni, Huishu Yuan, Xiangling Fu, Miao Li
2024Smart City Digital Twin Platform Architecture for Mobility and Transport Decision Support Systems.
Pierfrancesco Bellini, Enrico Collini, Marco Fanfani, Luciano Alessandro Ipsaro Palesi, Paolo Nesi
2024Smart Corridor+: A Testbed-As-A-Service for Intelligent Transportation Research.
Yasir Hassan, Austin Harris, Mina Sartipi
2024Smartphone Usage Data Cleaning Using LLM-Based Processing.
Mehdi Zaeifi, Beiyu Lin
2024Smartwatch-Based Human Staff Activity Classification: A Use-Case Study in Internal Logistics Systems Utilizing AGVs.
Olena Pavliuk, Myroslav Mishchuk
2024SoK: Prompt Hacking of Large Language Models.
Baha Rababah, Shang Tommy Wu, Matthew Kwiatkowski, Carson K. Leung, Cuneyt Gurcan Akcora
2024Solving Vehicle Routing Problem With Time Windows Based on Chaotic Adaptive Discrete Particle Swarm Optimization Algorithm.
Wenhong Wei, Yu Ma, Ani Dong, Qingxia Li
2024SparrowVQE: Visual Question Explanation for Course Content Understanding.
Jialu Li, Manish Kumar Thota, Ruslan Gokhman, Radek Holik, Youshan Zhang
2024Sparse Sounds: Exploring Low-Dimensionality in Music Generation Model.
Shu Wang, Shiwei Liu
2024Spatial Big Data Infrastructure for the Japanese Hyper-spectral Imager SUIte (HISUI) based on World Grid Square Statistics.
Aki-Hiro Sato
2024Spatial-temporal Graph Transformer Network for Spatial-temporal Forecasting.
Minh-Son Dao, Koji Zettsu, Duy-Tang Hoang
2024Spatio-temporal Causal Learning for Streamflow Forecasting.
Shu Wan, Reepal Shah, Qi Deng, John Sabo, Huan Liu, K. Selçuk Candan
2024SplitVAEs: Decentralized scenario generation from siloed data for stochastic optimization problems.
H. M. Mohaimanul Islam, Huynh Quang Nguyen Vo, Paritosh Ramanan
2024Statistical Modeling of Air Pollutants for Predicting AQI Levels.
Sudhir Kumar, Sourabh Mehra, Harsh Jha, Vaneet Kour, Rajiv Misra
2024SteLLA: A Structured Grading System Using LLMs with RAG.
Hefei Qiu, Brian White, Ashley Ding, Reinaldo Costa, Ali Hachem, Wei Ding, Ping Chen
2024Steering a Standard Arab Language Processing Model Towards Accurate Saudi Dialect Sentiment Analysis Using Generative AI.
Sulaiman Aftan, Yu Zhuang, Ahmad O. Aseeri, Habib Shah
2024Stochastic Large-scale Machine Learning Algorithms with Distributed Features and Observations.
Biyi Fang, Diego Klabjan, Truong Vo
2024Stochastic Scale Invariant Power Iteration for KL-divergence Nonnegative Matrix Factorization.
Cheolmin Kim, Youngseok Kim, Yegna Subramanian Jambunath, Diego Klabjan
2024Stock Movement Prediction Using Mamba And Ensemble Learning.
Halil Ibrahim Akgün, Ahmet Murat Özbayoglu
2024Stock Price Prediction Using LLM-Based Sentiment Analysis.
Qizhao Chen, Hiroaki Kawashima
2024Strengthening Accuracy of Lung Cancer Diagnosis Through A Novel Multimodal Bayesian Convolutional Neural Network.
Smriti Kumar
2024Structure Estimation of Financial Networks and Its Correlation with Mobility Data.
Naijia Liu, Kaira Sekiguchi, Yoshiyuki Nakata, Toshiaki Sugie, Takaaki Yoshino, Yukio Ohsawa
2024Structured Extraction of Real World Medical Knowledge using LLMs for Summarization and Search.
Edward Kim, Manil Shrestha, Richard Foty, Tom DeLay, Vicki Seyfert-Margolis
2024Structured Intention Generation with Multimodal Graph Transformers: The MMIntent-LLM Framework.
Bochuan Song, Xiaoxuan Fan, Quanye Jia, Rui Xin, Zhi Zhang
2024StyleRec: A Benchmark Dataset for Prompt Recovery in Writing Style Transformation.
Shenyang Liu, Yang Gao, Shaoyan Zhai, Liqiang Wang
2024Suicide Risk Assessment on Social Media with Semi-Supervised Learning.
Max Lovitt, Haotian Ma, Song Wang, Yifan Peng
2024Supply Chain Network Extraction and Entity Classification Leveraging Large Language Models.
Tong Liu, Hadi Meidani
2024Support Vector Machine for Predicting Student Dropout Under Different Normalization Methods.
Gehan Boteju, Leon Tang, Michael Scott Brown
2024Supporting Opportunistic Data Operations for Data-Intensive Computational Applications.
Minh-Tri Nguyen, Anh-Dung Nguyen, Jarno Rantaharju, Touko Puro, Matthias Rheinhardt, Maarit J. Korpi-Lagg, Hong Linh Truong
2024SurgBox: Agent-Driven Operating Room Sandbox with Surgery Copilot.
Jinlin Wu, Xusheng Liang, Xuexue Bai, Zhen Chen
2024Survival Model Optimization via Federated Learning: A Study Combining Simulations and Experiments.
Francesco Casadei, Luciana Carota, Gianluca Asti, Saverio D'Amico, Davide Piscia, Santiago Zazo, Patricia A. Apellániz, Juan Parras, Claudia Sala, Cesare Rollo, Nono S. C. Merleau, Piero Fariselli, Matteo Giovanni Della Porta, Tiziana Sanavia, Federico Álvarez García, Gastone C. Castellani, Enrico Giampieri
2024Sustainability of Energy Saving in Healthcare IoT Devices.
Manoj Kumar, Chaitali Choudhary, May El Barachi
2024Synthesising Handwritten Music with GANs: A Comprehensive Evaluation of CycleWGAN, ProGAN, and DCGAN.
Elona Shatri, Kalikidhar Reddy Palavala, György Fazekas
2024Synthesizing Accurate Relational Data under Differential Privacy.
Antheas Kapenekakis, Daniele Dell'Aglio, Charles Vesteghem, Laurids Poulsen, Martin Bøgsted, Minos N. Garofalakis, Katja Hose
2024T2I-RISE: Text-to-Insights with Reinforcement learning, Integration of Semantic layers and Enrichment - A Comprehensive Approach with Conversational Context and Feedback Systems.
Raghu Katikeri, Sai Phaniraja, Sai Pratheek, Rajvi Desai, Amit Vaid, Neelesh K. Shukla, Sandeep Jain
2024THYMES: A Framework for Detecting Suicidal Ideation from Social Media Posts Using Hyperbolic Learning.
Surendrabikram Thapa, Mohammad Salman, Siddhant Bikram Shah, Shuvam Shiwakoti, Qi Zhang, Liang Hu, Imran Razzak, Usman Naseem
2024TIFG: Text-Informed Feature Generation with Large Language Models.
Xinhao Zhang, Kunpeng Liu
2024TQL: Towards Type-Driven Data Discovery.
Andrew Y. Kang, Sainyam Galhotra
2024TRUExT: Trustworthiness Regressor Unified Explainable Tool.
Catherine Donner, Gopichandh Danala, Wolfgang Jentner, David S. Ebert
2024Table Structure Recognition via Encoder/Decoder Vision Transformers.
Daniel Uedelhoven, Max Lübbering, Christian Bauckhage, Rafet Sifa
2024TabularFM: An Open Framework For Tabular Foundational Models.
Quan M. Tran, Suong N. Hoang, Lam M. Nguyen, Dzung T. Phan, Hoang Thanh Lam
2024Tackling Data Heterogeneity in Federated Learning through Global Density Estimation.
Sagnik Ghosh, Avinash Kushwaha, Dinesh Singh
2024Tackling Data Sparsity and Combinatorial Challenges in Rare Disease Matching with Medical Informed Machine Learning.
Armin Berger, Tom Anglim Lagones, Lorenz Grigull, Lara Fendrich, Thiago Bell, Henriette Högl, Gundula Ernst, Ralf Schmidt, David Bascom, Rafet Sifa, Max Lübbering
2024Tackling No-show Imbalance problems for Healthcare Appointment datasets.
Xiaoguang Wang, Xuan Liu
2024Targeted Detection of Anomalous Merchants on Integrated Payment Platforms via Multifaceted Transaction Representation Learning.
Guanyu Lu, Xiang Lin, Martin Pavlovski, Xinyu Zhang, Fang Zhou
2024Targeting Negative Flips in Active Learning using Validation Sets.
Ryan Benkert, Mohit Prabhushankar, Ghassan AlRegib
2024Tenet: Benchmarking Data Stream Classifiers in Presence of Temporal Dependence.
Giacomo Ziffer, Federico Giannini, Emanuele Della Valle
2024Tensor Decision Trees For High-Resolution Imaging Data.
Zhihao Chen, Hengrui Luo, Suprateek Kundu, Marina Vannucci
2024TensorSearch: Parallel Similarity Search on Tensors.
Bin Dong, Avinash Nayak, Verónica Rodríguez Tribaldos, Kesheng Wu, Jonathan Ajo-Franklin, Qile Zhang, Fan Guo, Suren Byna, Patrick Dobson, Alexander Sim
2024Ternary Logit Distillation via Non-Target Classes Decomposition.
Ninghua Dong, Zhen Liu, Xiang He, Yiran Li
2024Text Classification with Limited Training Data: Suicide Risk Detection on Social Media.
Stefan Pasch, Jannic Cutura
2024Text Summary Generation based on Data Augmentation and Contrastive Learning.
Jenq-Haur Wang, Jie-An Zhuang
2024Textual Out-of-Distribution Data Detection Based on Granular Dictionary.
Tinghui Ouyang, Toshiyuki Amagasa
2024The Bidirectional Relationship between Emotional Change and Physical Movement Activities: An Analysis Using Propensity Score Matching Methods.
Zeyu Wu, Yuuki Nishiyama, Yuya Shibuya
2024The Evaluation of Extracted Features for Detecting Eclipse Attacks on Ethereum Network Layers.
Dhanasak Bhumichai, Ryan G. Benton
2024The Gather Join: Efficiently Aligning Atmospheric Datasets in Apache Spark.
Oliver Nief, Justus Henneberg, Felix Schuhknecht
2024The Impact of Weather Conditions on Renewable Energy Production: A Machine Learning Approach.
Recep Özbay, Merve Çelebi, Uraz Yavanoglu
2024The Importance of System Engineering Competences and Knowledge for Big Data Science and Research Infrastructure Projects.
Yuri Demchenko
2024The Melancholic Muse: Analyzing Listeners' Emotional Resonance with Sad Music.
Salim Sazzed
2024The Optimal Pricing Models: Dynamic Pricing Personalization based on Machine Learning.
Kazuhiro Miyatsu
2024The Power of Many: Investigating Defense Mechanisms for Resilient Graph Neural Networks.
Abhijeet Dhali, Renata Dividino
2024The Rhythm of the Mind: Exploring the Link Between Music Preferences and Mental Health Through Machine Learning.
Andrew T. Lian, Yong Chen
2024The Role of Threat Intelligence Sharing Platforms in Companies, Public Authorities, and Universities: Insights from an Exploratory Global Survey.
Daniel Fischer, Clemens Sauerwein, Marie Liz Sayin, Dirk Stelzer, Ruth Breu
2024The Skyline Operator to Find the Needle in the Haystack for Automated Clustering.
Georg Stefan Schlake, Christian Beecks
2024The Soundex Blocking: A Novel Blocking Approach for Record Linkage.
Nidhibahen Shah, Ahmed Soliman, Joyanta Basak, Sartaj Sahni, Kenneth Haase, Anup Mathur, Krista Park, Daniel Weinberg, Jonathan White, Sanguthevar Rajasekaran
2024The bread emoji Team's Submission to the IEEE BigData 2024 Cup: Predicting Chess Puzzle Difficulty Challenge.
Tyler Woodruff, Oleg Filatov, Marco Cognetta
2024Thought Space Explorer: Navigating and Expanding Thought Space for Large Language Model Reasoning.
Jinghan Zhang, Kunpeng Liu
2024Ti-skol: A Modular Federated Learning Framework Supporting Security Countermeasure Composition.
Divi De Lacour, Marc Lacoste, Mario Südholt, Jacques Traoré
2024Time Series Based Optimized Recommendation of Promotional Rewards.
Ishani Chakraborty
2024Time Series Causal Discovery Using a Hybrid Method.
Saima Absar, Lu Zhang
2024Time Series Forecasting with GCN-LSTM Based Unified Model for Product Demand Prediction.
Melike Yildiz Aktas, Taoran Ji, Chang-Tien Lu
2024TinyML for Cybersecurity: Deploying Optimized Deep Learning Models for On-Device Threat Detection on Resource-Constrained Devices.
Sonali Arcot, Mohammad Masum, Mohammad Shahidul Kader, Agnik Saha, Mohammed Chowdhury
2024Toward Automatically Improving Metadata Quality of Electronic Theses and Dissertations at Scale.
Lamia Salsabil, Jian Wu, William A. Ingram, Edward A. Fox
2024Toward Efficient Homomorphic Encryption-Based Federated Learning: A Magnitude-Sensitivity Approach.
Ren-Yi Huang, G. Dumindu Samaraweera, J. Morris Chang
2024Toward Global Multimodal High-Resolution Land Surface Temperature Forecasting and Nowcasting.
Ryan Brown, Andrea Domiter, Puya Vahabi
2024Toward Implementing an Agent-based Distributed Graph Database System.
Yuan Ma, Michelle Dea, Lilian Cao, Munehiro Fukuda
2024Toward Improved Knowledge Retention: A Template for Describing Data Science Projects.
Christian Haertel, Daniel Staegemann, Matthias Pohl, Christian Daase, Klaus Turowski
2024Toward Smart Scheduling in Tapis.
Joe Stubbs, Smruti Padhy, Richard Cardone
2024Toward the Implementation of the DPC Code Classification System in Hospital Information Systems.
Shusaku Tsumoto, Tomohiro Kimura, Shoji Hirano
2024Toward the Implementation of the DPC Code Classification System in Hospital Information Systems.
Shusaku Tsumoto, Tomohiro Kimura, Shoji Hirano
2024Towards Agent-based Disease Spread Modeling Combining Knowledge-driven Simulation and Machine Learning.
Maurice Günder, Facundo Ramón Ispizua Yamati, Anne-Katrin Mahlein, Christian Bauckhage
2024Towards Building Generalizable Models for Malware Detection.
Jihoon Shin, Emilia Rivas, Daniel Lucio, Aritran Piplai, Lavanya Elluri
2024Towards More Robust and Scalable Deep Learning Systems for Medical Image Analysis.
Akshaj Yenumala, Xinyue Zhang, Dan Lo
2024Towards Real-world Deployment of Deep Learning Solutions for Global Road Damage Detection and Classification.
Jooyoung Yoo, Reem Emad Shtaiwi, Mohammad Yasin, Dweep Trivedi, Abdullah Alfarrarjeh, Amani Abu Jabal, Seon Ho Kim
2024Towards Robust mmWave-based Human Activity Recognition using Large Simulated Dataset for Model Pretraining.
Vinay Joshi, Shengkai Xu, Qiming Cao, Yi Zhu, Pu Wang, Hongfei Xue
2024Towards True Multi-interest Recommendation: Enhanced Scheme for Balanced Interest Training.
Jaeri Lee, Jeongin Yun, U Kang
2024Towards Trustworthy Graph Neural Networks and Their Applications in Recommender Systems.
Longfeng Wu
2024Towards a Global Anomaly Detector in High-speed Networks Where Traffic Sampling is a Necessity.
Aviv Yehezkel, Eldad Ohayon, Eyal Elyashiv
2024Towards a Supporting Framework for Neuro-Developmental Disorder: Considering Artificial Intelligence, Serious Games and Eye Tracking.
Abdul Rehman, Ilona Heldal, Diana L. Stilwell, Jerry Chun-Wei Lin
2024Toxic language based echo chambers on the Incels.net community: A network analysis approach.
Mathieu Janssen, Giuseppe Cascavilla, Claudia Zucca, Alfredo Cuzzocrea
2024Training Fair Models in Federated Learning without Data Privacy Infringement.
Xin Che, Jingdi Hu, Zirui Zhou, Yong Zhang, Lingyang Chu
2024Training Variational Autoencoders for Population Synthesis in Public Health with Missing Data.
Nathan Blackthorn, Andrew Arash Mahyari, Ashok Srinivasan
2024Training in Computational Archival Science: Do CAS Educational Frameworks meet Professional Expectations?
Victoria L. Lemieux, Richard Arias-Hernández
2024TransBug: Transformer-Assisted Bug Detection and Diagnosis in Deep Neural Networks.
Abdul Haq Ayantayo, Johnson Chen, Muhammad Anas Raza, Mohammad Wardat
2024Transferable Sequential Recommendation via Vector Quantized Meta Learning.
Zhenrui Yue, Huimin Zeng, Yang Zhang, Julian J. McAuley, Dong Wang
2024Transportation Card Data Analysis for Ride-Hailing Demand Estimation in Urban Area.
Dongju Kim, Euiseok Hwang, Jaehyuk Choi, Hyunsup Kim
2024TreeCNN and NILMTK Unite: Illuminating Energy Efficiency in Real-World Scenarios.
Sabiha Afroz, Buvana Ramanan, Manzoor Khan, Ali Raza Butt
2024Triple-Parity Vertical Array Codes with Optimal Update Bandwidth and Fast Encoding/Decoding Performance.
Haitao Wu, Jingjie Lv, Xian Lian, Hanxu Hou
2024Trust-centric Big Data Ecosystem: An Ethical Framework in Autonomous Driving.
Jimin Ryu, Yong Ik Yoon
2024Trusted Yet Disguised: Analysing the Subversive Role of LOLBins in Contemporary Cyber Threats.
Hrushikesh Chunduri, P. Mohan Anand, Sandeep K. Shukla, P. V. Sai Charan
2024Tuning the Interpolation Basis in a Multigrid Decomposition for Local Error Control.
Nicolas Vidal, Qian Gong, Viktor Reshniak, Rick Archibald, Scott Klasky
2024Twitter Sentiment Analysis, 2-Way Classification: Offensive or Not-Offensive?
Mestan Firat Çeliktug
2024Uncertainty-Aware Influence Maximization: Enhancing Propagation in Competitive Social Networks with Subjective Logic.
Qi Zhang, Lance M. Kaplan, Audun Jøsang, Dong Hyun Jeong, Feng Chen, Jin-Hee Cho
2024Uncovering Alzheimer's Disease Biomarkers through Motif-Based Analysis of Synthetic Functional Brain Networks.
Carmela Comito, Annalisa Socievole
2024Uncovering Illegal Firearm Transactions in Cryptocurrency Networks.
Anastasia Kassiani Blitsi, Eleftheria Katsoura, Georgios Stavropoulos, Konstantinos Votis
2024Understanding Online Platform Usage of Extremist Groups via Graph Analytics.
Tanvir Hossain, Esra Akbas, Anthony E. Lemieux, Virginia Massignan
2024Understanding Student Sentiment on Mental Health Support in Colleges Using Large Language Models.
Palak Sood, Chengyang He, Divyanshu Gupta, Yue Ning, Ping Wang
2024Understanding User Interactions and Community Formation on Data Competition Platform.
Kenta Yamamoto, Teruaki Hayashi
2024Understanding the Evolution in Tourist Behavior Patterns through Context-Aware Spatio-Temporal k-Means.
Alberto Belussi, Anna Dalla Vecchia, Mauro Gambini, Sara Migliorini, Elisa Quintarelli
2024Understanding the Intrinsic Characteristics of Spatial Partitioning in Distributed Spatial Join.
Zhuohan Xu, Dejun Teng, Zhaohui Peng, Fusheng Wang
2024UnifiedGT: Towards a Universal Framework of Transformers in Large-Scale Graph Learning.
Junhong Lin, Xiaojie Guo, Shuaicheng Zhang, Dawei Zhou, Yada Zhu, Julian Shun
2024Unmasking Public Perception: A Mixed-Methods Exploration of Social Media Discourse on U.S. Illegal Immigration.
Salim Sazzed, Sharif Ullah
2024Unraveling Intricacies: A Decomposition Approach for Few-Shot Multi-Intent Spoken Language Understanding.
Wenbin Hua, Yufan Wang, Rui Fan, Xinhui Tu, Tingting He
2024Unsupervised Domain Adaptation for Entity Blocking Leveraging Large Language Models.
Yaoshu Wang, Mengyi Yan
2024Unsupervised Machine Learning for Detecting and Locating Human-Made Objects in 3D Point Cloud.
Hong Zhao, Huyunting Huang, Tonglin Zhang, Baijian Yang, Jin Wei-Kocsis, Songlin Fei
2024Unsupervised Parameter-free Outlier Detection using HDBSCAN* Outlier Profiles.
Kushankur Ghosh, Murilo Coelho Naldi, Jörg Sander, Euijin Choo
2024Unveiling Real-World Company Hidden Communication Patterns: Comparing Informal Large-Scale Email Network and Formal Structure.
Leonardo Di Perna, Matteo Bianchi, Matteo Matteucci, Marco Brambilla
2024User Privacy in Skeleton-based Motion Data.
Thomas Carr, Depeng Xu
2024Using AI Cognitive Diagnosis Embedded in a Game-Based Learning Environment.
Lin-Jung Wu
2024Using Patent Data and Language Models to Analyze Company Advantages and Reduce Attorney Workload.
Yun-Yun Jhuang, Shun-Wen Hsiao
2024Using speech characteristics from children's story narratives to detect autistic tendencies through deep learning methods.
Yen Yu Lai, Arbee L. P. Chen
2024Utilizing Large Language Models (LLMs) in Data Analysis Pipeline for Digital Phenotyping: Description, Prediction, and Visualization.
Derek Nissen, Tianyang Yu, Reyva Babtista, Yi Shang
2024Utilizing Large Language Models to Synthesize Product Desirability Datasets.
John D. Hastings, Sherri Weitl-Harms, Joseph Doty, Zachary J. Myers, Warren Thompson
2024VQ-VGAE: Vector Quantized Variational Graph Auto-Encoder for Unsupervised Anomaly Detection.
Tarek Seghair, Olfa Besbes, Takoua Abdellatif, Sami Bihiri
2024Value-Compressed Sparse Column (VCSC): Sparse Matrix Storage for Single-cell Omics Data.
Seth Wolfgang, Skyler Ruiter, Marc A. Tunnell, Timothy Triche Jr., Erin Carrier, Zachary J. DeBruine
2024Vector Quantization with Sorting Transformation.
Hongzhi Wang, Tanveer F. Syeda-Mahmood
2024Vedalytics: Concepts as Knowledge from Rules of the Ancient Indian Scriptures.
Animesh Chaturvedi, Vivekraj V. K, Pratik Pakhale, Karthik Avinash
2024Video Content Summarization with Large Language-Vision Models.
Kelley Lynch, Bohan Jiang, Ben Lambright, Kyeongmin Rim, James Pustejovsky
2024VideoBadminton: A Video Dataset for Badminton Action Recognition.
Qi Li, Tzu-Chen Chiu, Hsiang-Wei Huang, Min-Te Sun, Wei-Shinn Ku
2024Vision Paper: Addressing the Threat of 3D Printing Firearm Files with Data-Driven Strategies.
Chaido Porlou, Maria Makrynioti, Georgios Stavropoulos, Konstantinos Votis
2024Vision Paper: Are Identity Verification Systems Adequately Tailored for Neurodivergent Individuals?
Emanuela Marasco, Nora McDonald, Vivian Genaro Motti
2024Vision Paper: Incorporating Domain Knowledge in Information Retrieval Systems to Streamline Incident Investigation.
Franck Mignet, Valeriu-Daniel Stanciu, Susanne Plank-Konrad
2024Visions of Violence : Threatful Communication in Incel Communities.
Lukas Lundmark, Lisa Kaati, Amendra Shrestha
2024Visual Identification of Oysters Using Machine Learning.
Joshua Essandoh, Michael Straus, Nikolai Vukov, Yuanwei Jin, Enyue Lu
2024Visual Lifelog Retrieval through Captioning-Enhanced Interpretation.
Yu-Fei Shih, An-Zi Yen, Hen-Hsen Huang, Hsin-Hsi Chen
2024Visual Summary Thought of Large Vision-Language Models for Multimodal Recommendation.
Yuqing Liu, Yu Wang, Yuwei Cao, Lichao Sun, Philip S. Yu
2024WalkBayes: Robust Node Classification via Bayesian Inference and Random Walks under Perturbations.
Shuqi He, Jun Song
2024WeightedMMoE: Weighted Multi-Gate Mixture-of-Experts for Multi-Source Unsupervised Domain Adaptation.
Siti Mariyah, Wayne Wobcke
2024What Information Hinders or Promotes Subjects' Meaningful Learning in a Bandit Experiment for Weighted Voting?: Mouse Tracking Evidence.
Naoki Watanabe
2024When IoT Meet LLMs: Applications and Challenges.
Ibrahim Kök, Orhan Demirci, Suat Özdemir
2024When an Old Telecommunication Law Meets Generative AI: the Manifesto to Unbundle AI.
Aleksandra Pawlicka, Marek Pawlicki, Dagmara Jaroszewska-Choras, Damian Puchalski, Rafal Kozik, Michal Choras
2024Word Archipelagoes for Explaining Contextual Shifts in Sequential Actions and Events.
Yukio Ohsawa
2024XSub: Explanation-Driven Adversarial Attack against Blackbox Classifiers via Feature Substitution.
Kiana Vu, Phung Lai, Truc Nguyen
2024YOLO based Ocean Eddy Localization with AWS SageMaker.
Seraj Al Mahmud Mostafa, Jinbo Wang, Benjamin Holt, Jianwu Wang
2024YOLOv10 Computer Vision Performance Measurement for Agricultural Vacuum Seed Meters.
Manuel Blaser, Wesley Porter, Luke Fuhrer, Thirimachos Bourlai
2024Zero-Shot Learning for Code Explanation Using LLM.
Anika Tasnim Preoty, Matti Niemisto, Mourad Oussalah
2024Zero-Shot Relational Learning for Multimodal Knowledge Graphs.
Rui Cai, Shichao Pei, Xiangliang Zhang
2024Zero-shot Demand Forecasting for Products with Limited Sales Periods.
Shota Nagai, Ryota Inaba, Rei Oishi, Shuhei Aikawa, Yusuke Mibuchi, Hinata Moriyama, Ken Kobayashi, Kazuhide Nakata
2024Zero-shot LLM-guided Counterfactual Generation: A Case Study on NLP Model Evaluation.
Amrita Bhattacharjee, Raha Moraffah, Joshua Garland, Huan Liu
2024Zero-th Order Algorithm for Softmax Attention Optimization.
Yichuan Deng, Zhihang Li, Sridhar Mahadevan, Zhao Song
2024[Vision Paper] Digital Twin System - From Frameworks to a Comprehensive System.
Juliana Hildebrandt, Dirk Habich, Wolfgang Lehner
2024[Vision Paper] PRObot: Enhancing Patient-Reported Outcome Measures for Diabetic Retinopathy using Chatbots and Generative AI.
Maren Pielka, Tobias Schneider, Jan H. Terheyden, Rafet Sifa
2024susFL: Federated Learning-based Monitoring for Sustainable, Attack-Resistant Smart Farms.
Dian Chen, Paul Yang, Dong Sam Ha, Jin-Hee Cho
2024vNM Stable Sets and Aumann-Drèze-Shapley Value in Patent Licensing of Cost-Reducing Technologies: Asymptotic Results in General Cournot Markets.
Toshiyuki Hirai, Naoki Watanabe
2024ℓ1, 2-Norm and CUR Decomposition based Sparse Online Active Learning for Data Streams with Streaming Features.
Zhong Chen, Yi He, Di Wu, Liudong Zuo, Keren Li, Wenbin Zhang, Zhiqiang Deng