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| 2023 | A Big Data Approach to Augmenting the Huff Model with Road Network and Mobility Data for Store Footfall Prediction. Minghui Tan, Kar Way Tan, Hoong Chuin Lau |
| 2023 | A Big Data Platform for the Management of Local Energy Communities Data. Sonia Bergamaschi, Luca Gagliardelli |
| 2023 | A Capacity Framework of Community Readiness for Supporting Big Data Science Projects during Cyberinfrastructure Diffusion. Kerk F. Kee, Alex Olshansky, Shan Xu, Kulsawasd Jitkajornwanich |
| 2023 | A Cascade CNN Model based on Adaptive Learning Rate Thresholding for Reliable Face Recognition. Imen Labiadh, Larbi Boubchir, Hassene Seddik |
| 2023 | A Case Study on ChatGPT Question Generation. Winston Chan, Aijun An, Heidar Davoudi |
| 2023 | A Classification Approach to Detect Social Support in Online Health Communities. Hai Nguyen, Thanaa M. Ghanem |
| 2023 | A Comparative Analysis of Data Augmentation Approaches for Improved Minority Behavior Detection in Digital Games. Rafet Sifa, Edwin Yang |
| 2023 | A Comparison of Federated Aggregation Strategies and Architectures for Next-word Prediction. Yana Sakhnovych, Richard Röttger, Rudolf Mayer |
| 2023 | A Data Integration Framework with Multi-Source Big Data for Enhanced Forest Fire Prediction. Parveen Kaur, Kshirasagar Naik, Richard Purcell, Srinivas Sampalli, Chung-Horng Lung, Marzia Zaman, Abdul Mutakabbir |
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| 2023 | A Deep Learning Approach for Climate Parameter Estimations and Renewable Energy Sources. Camilla Lops, Mariano Pierantozzi, Luciano Caroprese, Sergio Montelpare |
| 2023 | A Deep Learning Pipeline for Optimizing Large-scale Phase Field Simulations. Ramakrishnan Kannan, Cristina Garcia-Cardona, Balasubramaniam Radhakrishnan, Sudip K. Seal |
| 2023 | A Federated Learning Scheme Based on Lightweight Differential Privacy. Wenlong Song, Hong Chen, Zhijie Qiu, Lei Luo |
| 2023 | A Fine-Grained Analysis of Public Opinion toward Chinese Technology Companies on Reddit. Enting Zhou, Yurong Liu, Hanjia Lyu, Jiebo Luo |
| 2023 | A Fuzzy Optimized Route Selection Framework for Autonomous Vehicles using V-NDN. Anu Kaushik, Rasmeet S. Bali, Gautam Srivastava |
| 2023 | A Graph Data Model-based Micro-Provenance Approach for Multi-level Provenance Exploration in End-to-End Climate Workflows. Sandro Fiore, Mattia Rampazzo, Donatello Elia, Ludovica Sacco, Fabrizio Antonio, Paola Nassisi |
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| 2023 | A Hybrid Method of Sentiment Analysis and Machine Learning Algorithm for the U.S. Presidential Election Forecasting. Guocheng Feng, Kaihao Chen, Huaiyu Cai, Zhijian Li |
| 2023 | A Hybrid Model Based on Multi-level External Knowledge for Chinese Semantic Matching. Haoyang Ma, Hongyu Guo |
| 2023 | A Max-Min Security Game for Coordinated Backdoor Attacks on Federated Learning. Omar Abdel Wahab, Anderson R. Avila |
| 2023 | A Methodology and a Toolbox to Explore Dataset related to the Environmental Impact of HTTP Requests. Christophe Cérin, Mathilde Jay, Laurent Lefèvre, Denis Trystram |
| 2023 | A Modular Approach to Automatic Cyber Threat Attribution using Opinion Pools. Koen T. W. Teuwen |
| 2023 | A New Prediction Algorithm Based on Local Neighbor Closeness and Influence of Node. Haiping Ding, Liang Wei, Fazu Li, Feng Hu, Pengyue Li, Junjie Chen |
| 2023 | A Novel Approach for Deep Learning-Powered Forecasting of Market Bottoms in Cryptocurrency and Stock Trading. D. M. D. K. Dasanayake, H. Y. Dilshan, H. D. K. Y. Rathnaweera, Sapumal Ahangama, Indika Perera |
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| 2023 | A Novel Ensemble-Based Framework for Feature Identification and Classification of COVID-19 Electronic Health Record Data. Asmita Mahajan, Durga Toshniwal |
| 2023 | A Novel Method to Enable Transfer Learning of Structural Graph Representations. Janet Layne, Edoardo Serra |
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| 2023 | A Study to Compare YOLO Family Models for Metal Surface Anomaly Detection. Abdüsselam Koç, Özlem Albayrak, Yasar Kurt, Perin Ünal |
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| 2023 | A multi-source graph database to showcase a recommender system for dyslexic students. Karim El Hage, Adel Remadi, Yasmina Hobeika, Ruining Ma, Victor Hong, Francesca Bugiotti |
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| 2023 | AGV Quality of Service Throughput Prediction via Neural Networks. Katarzyna Prokop, Dawid Polap, Gautam Srivastava |
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| 2023 | AI-Generated Images as an Emergent Record Format. Jessica Bushey |
| 2023 | AI-Powered Archives: Revolutionizing Information Access for the Future. Vasuda Trehan |
| 2023 | AMINet: An Industrial Honeynet for AMI Systems. Alexios Lekidis, George Daniil, Panagiotis Mavrommatis, Konstantinos Lampropoulos, Odysseas G. Koufopavlou |
| 2023 | ANTI-Disinformation: An Adversarial Attack and Defense Network Towards Improved Robustness for Disinformation Detection on Social Media. Kuan-Chun Chen, Chih-Yao Chen, Cheng-Te Li |
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| 2023 | ASI: Accuracy-Stability Index for Evaluating Deep Learning Models. Wei Dai, Daniel Berleant |
| 2023 | ATADA: Adaptive Time Aware Anomaly Detection Approach for Real-Time Intelligent Transportation Systems. Ke Zhang, Hengchang Liu, Siobhán Clarke |
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| 2023 | Active Data Reconstruction Attacks in Vertical Federated Learning. Minh N. Vu, Tre' R. Jeter, Raed Alharbi, My T. Thai |
| 2023 | Adapting Knowledge Graphs to Edge Computing Devices. Joffrey de Oliveira, Christophe Callé, Olivier Curé |
| 2023 | Adaptive Intrusion Detection Systems: Class Incremental Learning for IoT Emerging Threats. Francesco Cerasuolo, Giampaolo Bovenzi, Christian Marescalco, Francesco Cirillo, Domenico Ciuonzo, Antonio Pescapè |
| 2023 | Adaptive Shrinkage Denoising and Sequential State Extraction Model for Vibration Event Recognition. Wanchang Jiang, Yuxin Jiang |
| 2023 | Advanced Big Data Analysis for Deciphering the Role of Protein Misfolding and Interactions in the Pathogenesis of Alzheimer's Disease. Marios G. Krokidis, Georgios N. Dimitrakopoulos, Themis P. Exarchos, Aristidis G. Vrahatis, Panagiotis Vlamos |
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| 2023 | Advancements in Financial Document Structure Extraction: Insights from Five Years of FinTOC (2019-2023). Juyeon Kang, Mauli Mehulkumar Patel, Anushka Agrawal, Simhadri Sevitha, Srinivasa Ravi, Sandra Bellato, M. Anand Kumar, Ngawang Dempa Tsang, Mo El-Haj |
| 2023 | Advancing Resilience in Green Energy Systems: Comprehensive Review of AI-based Data-driven Solutions for Security and Safety. Amro Issam Hamed Attia Ramadan, Alì Aghazadeh Ardebili, Antonella Longo, Antonio Ficarella |
| 2023 | Adversarial Data-Augmented Resilient Intrusion Detection System for Unmanned Aerial Vehicles. Muneeba Asif, Mohammad Ashiqur Rahman, Kemal Akkaya, Hossain Shahriar, Alfredo Cuzzocrea |
| 2023 | Aiming to Minimize Alcohol-Impaired Road Fatalities: Utilizing Fairness-Aware and Domain Knowledge-Infused Artificial Intelligence. Tejas Venkateswaran, Sheikh Rabiul Islam, Md Golam Moula Mehedi Hasan, Mohiuddin Ahmed |
| 2023 | AltOOM: A Data-driven Out of Memory Root Cause Identification Strategy. Pranjal Chakraborty, Naser Ezzati-Jivan, Sayed Vahid Azhari, François Tetreault |
| 2023 | Ammunition Management in the AI Era: Towards CBM+ and Shelf-life Analysis. Youngjin Jung, Jisoo Hong, Solip Kim, Kang Sung Woo |
| 2023 | An Adaptive Hierarchical Method for Anytime Set-wise Clustering of Variable and High-Speed Data Streams. Aarti, Jagat Sesh Challa, Utkarsh Darolia, Mridul Chandak, Poonam Goyal, Navneet Goyal |
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| 2023 | An Analysis of Combined Data Augmentation in Time Series Prediction Tasks Using Discrete Wavelet Multilevel Decomposition. Yuewen Shen, Xinhao Yang, Jiayu Zhao, Ze Li |
| 2023 | An Analysis of the Dynamics of Ties on Twitter. Kiana Kheiri, Muhammad Fawad Akbar Khan, Tyler Derr, Hamid Karimi |
| 2023 | An Augmentation-agnostic Semantic Preserving Technique for Data Generation. Jang-Ho Choi, Moonyoung Chung, Jiyong Kim |
| 2023 | An Early Warning System for Air Pollution Surveillance: A Big Data Framework to Monitoring Risks Associated with Air Pollution. Shahan Salim, Irfhana Zakir Hussain, Jasleen Kaur, Plinio P. Morita |
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| 2023 | An Empirical Study of Covid-19 Effect on Health Care Workers' Career Development. Kutay Acar, Günce Keziban Orman, Sultan Nezihe Turhan |
| 2023 | An Experimental Study on Random Projection Based Biometric Security. Rishabh Shukla, Harkeerat Kaur |
| 2023 | An Exploratory Study of Vulnerabilities in Big Data Systems. Nikolas Tyllis, Faheem Ullah, Muhammad Uzair |
| 2023 | An Integrated ML-Ops Framework for Automating AI-based Photovoltaic Forecasting. Symeon Chorozoglou, Elissaios Sarmas, Vangelis Marinakis |
| 2023 | An Intelligent Class - The Sequel: The Development Of A Novel Context Capturing Method For The Functional Auto Classification Of Records. Nathaniel Payne |
| 2023 | An Interactive Framework of Balancing Evaluation Cost and Prediction Accuracy for Knowledge Tracing. Weili Sun, Boyu Gao, Jiahao Chen, Shuyan Huang, Weiqi Luo |
| 2023 | An iterative sinogram metal artifact reducdion based on UNet. Zichong An, Xuemei Zhu, Xiangling Fu, Junqi Ma, Chenyi Guo, Zheng Zhang |
| 2023 | Analogous Analogues: Digital Twins and Hardware Tracking in GLAM Collections. Dian Ross, Edmond Cretu, Victoria Lemieux |
| 2023 | Analysis and Forecasting of Carbon Emission in SAARC Countries using Attention-based LSTM. Anil Verma, Harshit Dhankhar, Rajiv Misra, T. N. Singh, Om Prakash Dhakal |
| 2023 | Analysis of Medical Incident Reports using Text Mining Tomohiro Kimura, Shusaku Tsumoto, Shoji Hirano |
| 2023 | Analysis of time management models in AGV wireless communication. Kirill Rukkas, Piotr Gaj |
| 2023 | Analyzing Code Text Strings for Code Evaluation. Tianyu Wang, Zhixiong Chen |
| 2023 | Analyzing Data Sets for ML-driven Fraud Detection in SAP Systems. Jonas Schnepf, Bernd Scheuermann, Paula Vetter |
| 2023 | Analyzing Threat Vectors in ICS Cyberattacks. Ismael Villanueva-Miranda, Monika Akbar |
| 2023 | Anaphoric Ambiguity Resolution in Software Requirement Texts. Sanaz Mohammad Jafari, Savas Yildirim, Mucahit Cevik, Ayse Basar |
| 2023 | Anomaly Detection as a Data Reduction Approach for Test Event Analysis at the Edge. Mariya Occorso, Michael An, Robert Olsen, Vincent Perry |
| 2023 | Applied Data Science for Leasing Score Prediction. Giuseppe Cianci, Roberto Goglia, Riccardo Guidotti, Matteo Kapllaj, Roberto Mosca, Andrea Pugnana, Franco Ricotti, Salvatore Ruggieri |
| 2023 | Applying Homomoprhic Encryption to Data Spaces Takashi Michikata. Takashi Michikata, Yusuke Sasaki, Noboru Koshizuka |
| 2023 | Artificial Intelligence for Spectral Analysis: Challenges and Opportunities. Anqi Chu, Xiang Xie, Wilhelm Stork |
| 2023 | Artificial Intelligence-Based Plant Breeding using Genotype and Phenotype Data: Methods and Future Work. Jiho Choi, Sung-Woo Byun, Taehoon Lim, Hye In Lee, Hwa Seon Shin, Geon Woo Kim, Jin-Kyung Kwon, Byoung-Cheorl Kang |
| 2023 | Aspect-based Meeting Transcript Summarization: A Two-Stage Approach with Weak Supervision on Sentence Classification. Zhongfen Deng, Seunghyun Yoon, Trung Bui, Franck Dernoncourt, Quan Hung Tran, Shuaiqi Liu, Wenting Zhao, Tao Zhang, Yibo Wang, Philip S. Yu |
| 2023 | Assessing Regional Disparities in Human Development and Multidimensional Poverty: A Satellite Imagery and Machine Learning Approach. Sukbeom Chang, Youeel Sadek Kamal Abdelnour, Ivis María Companioni Cardoso, Jeongho Kim, Seon Tae Kim, Joo Hee Oh |
| 2023 | Assessing relative contribution of Environmental, Behavioural and Social factors on Life Satisfaction via mobile app data. Gregor Milligan, John Harvey, Liz Dowthwaite, Elvira Perez Vallejos, Georgiana Nica-Avram, James Goulding |
| 2023 | Assessing the Environmental Impact of Plant-Based Diets: A Comprehensive Analysis. Blagica Golubova, Fjola Fetaji, Jovana Dobreva, Milena Trajanoska, Ana Todorovska, Riste Stojanov, Dimitar Trajanov |
| 2023 | Assessing the Threat Level of Software Supply Chains with the Log Model. Luis Soeiro, Thomas Robert, Stefano Zacchiroli |
| 2023 | Audience Prospecting for Dynamic-Product-Ads in Native Advertising. Eliran Abutbul, Yohay Kaplan, Naama Krasne, Oren Somekh, Or David, Omer Duvdevany, Evgeny Segal |
| 2023 | Audio-visual Neural Face Generation with Emotional Stimuli. Juheon Hwang, Jiwoo Kang |
| 2023 | Authenticating Citizen Journalism Videos by Incorporating the View of Archival Diplomatics into the Verification Processes of Open-source Investigations (OSINT). Hoda Amal Hamouda |
| 2023 | AutoClass: AutoML for Data Stream Classification. Maroua Bahri, Nikolaos Georgantas |
| 2023 | AutoKG: Efficient Automated Knowledge Graph Generation for Language Models. Bohan Chen, Andrea L. Bertozzi |
| 2023 | Autocompletion of Chief Complaints in the Electronic Health Records using Large Language Models. K. M. Sajjadul Islam, Ayesha Siddika Nipu, Praveen Madiraju, Priya Deshpande |
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| 2023 | Automated Cyber Threat Intelligence Generation on Multi-Host Network Incidents. Cristoffer Leite, Jerry den Hartog, Daniel Ricardo dos Santos, Elisa Costante |
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| 2023 | Automatic Time Signature Determination for New Scores Using Lyrics for Latent Rhythmic Structure. Callie C. Liao, Duoduo Liao, Jesse Guessford |
| 2023 | BBVA AI Factory at FinCausal 2023: a RoBERTa Fine-tuned Model for Causal Detection. Alberto Algarra, David Muelas |
| 2023 | BFRecSys: A Blockchain-based Federated Matrix Factorization for Recommendation Systems. Dongkun Hou, Jie Zhang |
| 2023 | BUILD-KG: Integrating Heterogeneous Data Into Analytics-Enabling Knowledge Graphs. Kara Schatz, Pei-Yu Hou, Alexey V. Gulyuk, Yaroslava G. Yingling, Rada Chirkova |
| 2023 | Balancing the Scales: HyperSMOTE for Enhanced Hypergraph Classification. Lulwah Alkulaib, Chang-Tien Lu |
| 2023 | Batch Mode Deep Active Learning for Regression on Graph Data. Peter Samoaa, Linus Aronsson, Philipp Leitner, Morteza Haghir Chehreghani |
| 2023 | Bi-Directional Face Tracking for Precise Facial De-identification in Video Data. Suha Kim, Hyuk Lim, Seunghyun Yoon |
| 2023 | Big Data Management System Architectures: From Opportunities to Challenges [Vision]. Radhika Joshi, Calvin Thomas Dani, Shiva Jahangiri |
| 2023 | Big Data Tools: Interoperability Study and Performance Testing. Asma Dhaouadi, William Paccoud, Khadija Bousselmi, Sébastien Monnet, Mohamed Mohsen Gammoudi, Slimane Hammoudi |
| 2023 | Big Data and Data Visualization Challenges. Manoj Muniswamaiah, Tilak Agerwala, Charles C. Tappert |
| 2023 | Big data usability text mining of publicly available YouTube electronic health record (EHR) tutorials. Dillon Chrimes, Ivan Tang |
| 2023 | Big-Data Algorithms That Are Not Machine Learning. Jeffery Ullman |
| 2023 | BigData Fusion for Trajectory Prediction of Multi-Sensor Surveillance Information Systems. Giuseppe Cascavilla, Alfredo Cuzzocrea, Daniel De Pascale, Mandana Omidbakhsh, Damian A. Tamburri |
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| 2023 | Blockchain-Based Verifiable and Reliable File Access Control Layer for Cloud Storages. Daun Kim, Hyunjoo Yang, Howon Lee, Sejin Park |
| 2023 | Boosting Feedback: A Framework for Enhancing Ground Truth Data Collection. Kota Tsubouchi, Shuji Yamaguchi, Tatsuru Higurashi |
| 2023 | Brain Stroke Prediction Using Machine Learning Techniques. Ibrahim Almubark |
| 2023 | Breaking the U: Asymmetric U-Net for Object Recognition in Muon Tomography Jannic Cutura, Stefan Pasch |
| 2023 | Bridging the Gap in AI-Driven Workflows: The Case for Domain-Specific Generative Bots. Akit Kumar, M. S. Lakshmi Devi, Jeffrey S. Saltz |
| 2023 | CASTLE: A Cascaded Spatio-Temporal Approach for Long-lead Streamflow Forecasting. Yong Zhuang, David L. Small, Patrick D. Flynn, Wahid Palash, Shafiqul Islam, Ping Chen, Wei Ding |
| 2023 | CELS: Counterfactual Explanations for Time Series Data via Learned Saliency Maps. Peiyu Li, Omar Bahri, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi |
| 2023 | CERBERE: Cybersecurity Exercise for Red and Blue team Entertainment, REproducibility. Pierre-Victor Besson, Romain Brisse, Helene Orsini, Natan Talon, Jean-François Lalande, Frédéric Majorczyk, Alexandre Sanchez, Valérie Viet Triem Tong |
| 2023 | CGP: Centroid-guided Graph Poisoning for Link Inference Attacks in Graph Neural Networks. Haozhe Tian, Haibo Hu, Qingqing Ye |
| 2023 | CLIP-PubOp: A CLIP-based Multimodal Representation Fusion Method for Public Opinion. Zhibo Wang, Yi Guo, Jiaojiao Fu |
| 2023 | CSER: Enhancing Cybersecurity Entity Recognition Through Multidimensional Feature Fusion. Md Abu Marjan, Toshiyuki Amagasa |
| 2023 | CTT: Causally Informed Tensor Train Decomposition. Mao-Lin Li, K. Selçuk Candan, Maria Luisa Sapino |
| 2023 | CVE representation to build attack positions graphs. Manuel Poisson, Valérie Viet Triem Tong, Gilles Guette, Frédéric Guihéry, Damien Crémilleux |
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| 2023 | Causal Associations between Temporal Events. Nguyen Ho, Trinh Cong Le, Van Long Ho, Nguyen Tuong Huynh, Linh Ngo |
| 2023 | Causal Fairness-Guided Dataset Reweighting using Neural Networks. Xuan Zhao, Klaus Broelemann, Salvatore Ruggieri, Gjergji Kasneci |
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| 2023 | Charting the Course of Ship Track Prediction: A Novel Approach for Maritime Traffic Analysis and Enhanced Situational Awareness. Lubna Eljabu, Mohammad Etemad, Stan Matwin |
| 2023 | ChattSpeed: Toward a New Dataset for Single Camera Visual Speed Estimation for Urban Testbeds. Yasir Hassan, Mina Sartipi |
| 2023 | ChimeraPy: A Scientific Distributed Streaming Framework for Real-time Multimodal Data Retrieval and Processing. Eduardo Davalos, Umesh Timalsina, Yike Zhang, Jiayi Wu, Joyce Horn Fonteles, Gautam Biswas |
| 2023 | Choosing the Right Time to Learn Evolving Data Streams. Alessio Bernardo, Emanuele Della Valle, Albert Bifet |
| 2023 | Circular Arc Length-Based Kernel Matrix For Protein Sequence Classification. Taslim Murad, Sarwan Ali, Prakash Chourasia, Haris Mansoor, Murray Patterson |
| 2023 | CkanFAIR: a digital tool for assessing the FAIR principles. Matteo Lia, Davide Damiano Colella |
| 2023 | Classification of Cognitive-Aesthetic Responses Using Machine Learning and EEG Data. Edward Trudeau, Lin-Ching Chang, Yoshio Nakamura, Mohamad Koubeissi, Julio Bermudez |
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| 2023 | Clean-label Poisoning Attack against Fake News Detection Models. Jiayi Liang, Xi Zhang, Yuming Shang, Sanchuan Guo, Chaozhuo Li |
| 2023 | Clustering and GNN prediction with DrugMatrix. Jiaji Ma, Guojing Cong, Scott Auerbach |
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| 2023 | CoMABO: Covariance Matrix Adaptation for Bayesian Optimization. Hsiang-Yu Ku, Che-Rung Lee |
| 2023 | Cohesive Attention-Based Explanations for Sequences and Explainability in Presence of Event Types. Stephanie Ger, Yegna Subramanian Jambunath, Diego Klabjan, Jean Utke |
| 2023 | Colocation Datacenter Customer Power Usage Forecasting Using Synthetic Data and Integration of Macroeconomic Indicators. Neda Zarayeneh, Malarvizhi Sankaranarayanasamy, Pegah Mavaie, Omanshu Thapliyal, Prasun Singh, Ravigopal Vennelakanti |
| 2023 | Combat COVID-19 at National Level using Risk Stratification with Appropriate Intervention. Xuan Jin, Kar Way Tan |
| 2023 | Combining Block Bootstrap with Exponential Smoothing for Reinforcing Non-Emergency Urban Service Prediction. Kshira Sagar Sahoo, Shivam Krishana, Monowar Bhuyan |
| 2023 | Combining Demographic Tabular Data with BERT Outputs for Multilabel Text Classification in Higher Education Survey Data. Kevin Chovanec, John Fields, Praveen Madiraju |
| 2023 | Combining Transformers and Tree-based Decoders for Solving Math Word Problems. Jenq-Haur Wang, Yi-Fang Chen |
| 2023 | Combining Wavelet and MFCC Features for Emotion Recognition in Conversation. Geuna Jo, Hyuk Lim, Seunghyun Yoon |
| 2023 | Combining fault-tolerant persistence and low-latency streaming access to binary data for AI models. Gabriele Scaffidi Militone, Daniele Apiletti, Giovanni Malnati |
| 2023 | Compact Boundary Matrix from a Polytopal Complex for Computing Persistent Homology. Rohit P. Singh, Philip A. Wilsey |
| 2023 | Comparing Generative Chatbots Based on Process Requirements: A Case Study. Luis Fernando Lins, Nathalia Moraes do Nascimento, Paulo Sérgio C. de Alencar, Toacy C. Oliveira, Donald D. Cowan |
| 2023 | Comparing ML OCR Engines on Texts from 19 Marc Frîncu, Marius E. Penteliuc, Simina Frîncu, Gheorghe Bran, Manuela Zanescu |
| 2023 | Comparison of MIMIC-III and MIMIC-IV for big data analytics of health informatics. Dillon Chrimes, Chanhee Kim |
| 2023 | Comparison of Machine Learning Classifiers on Integrated Transcriptomic Data. Irene Testa, Giuseppe Prencipe, Corrado Priami, Alina Sîrbu |
| 2023 | Comparison of SQL, NoSQL, and NewSQL Database Technologies. Manoj Muniswamaiah, Tilak Agerwala, Charles C. Tappert |
| 2023 | Complementary Attention-Based Deep Learning Detection of Fake Faces. Supriyo Sadhya, Xiaojun Qi |
| 2023 | Complex Networks Exploration With Triangles. Shahadat Hossain, Raheem Mir, Emam Hossain |
| 2023 | Comprehensive cough data analysis on CODA TB. Jyoti Yadav, Aparna S. Varde, Lei Xie |
| 2023 | Compulsive Bingers or Faithful Fans: Binge-watching behaviour analysis using viewing data and Twitter discourse for 'The Traitors US'. Joanne Parkes, Andrew Smith, Steve Benford, Michael Evans, Lianne Kerlin |
| 2023 | Computing Group-By and Aggregates on Massively Parallel Systems. Chengcheng Mou, Minh Pham, Benjamin Hsu, Yicheng Tu |
| 2023 | Conducting an Experiment at Multiple Sites with Small Subject Pools: How is Raven Score Effective as a Covariate? Kazuhito Ogawa, Yusuke Osaki, Tetsuya Kawamura, Hiromasa Takahashi, Satoshi Taguchi, Yoichiro Fujii, Kengo Kurosaka, Kohei Iyori, Naoki Watanabe |
| 2023 | Constructing Knowledge Graph from Cyber Threat Intelligence Using Large Language Model. Jiehui Liu, Jieyu Zhan |
| 2023 | Context-based Fact-checking Using Knowledge Graph. Hyun Jung Lee, Mye M. Sohn |
| 2023 | Continuous Prompt for Chemical Language Model Aided Anticancer Synergistic Drug Combination Prediction. Guannan Geng, Lingling Zhao, Chunyu Wang, Xiaoyan Liu, Junjie Wang |
| 2023 | Continuous Soccer Pass Detection: A Comparison between Traditional and Streaming Machine Learning Methods. Stefania Menconi, Giacomo Ziffer, Alessio Bernardo, Emanuele Della Valle |
| 2023 | Contrastive Multi-view Learning for Graph Stucture Learning. Kai Huang, Dengzhe Liang, He Wang, Yuncheng Jiang |
| 2023 | Convergent wireless real-time communicaiton using EtherCAT and OPC UA for AGV application with big data sets acquisition. Jacek Stój, Piotr Gaj |
| 2023 | Correlation and Unintended Biases on Univariate and Multivariate Decision Trees. Mattia Setzu, Salvatore Ruggieri |
| 2023 | Cost-Efficient Cross-Region Copy in Cloud Data Warehouse: An Evolutionary Approach. Huijun Wu, Maosong Fu, Mansi Kapoor, Zheng Li, DongGeon Kim, Jihyeon Ha, Sungwook Ethan Byun, Prashanth Rajendran, San Tan |
| 2023 | Counterfactual Analysis: A Case Study on Impact of External Events on Building Energy Consumption. Carolina Minami Oguchi, Dipak Ghosal, Alex Sim, Kesheng Wu |
| 2023 | Critical Community-Centeredness: Ethical Considerations for Computational Archival Studies. Madelynn Dickerson, Audra Eagle Yun |
| 2023 | Crop Loss Estimation in Maize Agriculture: A Deep Learning Perspective. Geeta Rani, Vijaypal Singh Dhaka, Eugenio Vocaturo, Ester Zumpano |
| 2023 | Cross-Domain Fake News Detection Based on Coarse-Fine Grained Environments Reflecting Public Expectation. Guojun Liu, Yuefeng Ma, Xun Liang |
| 2023 | Cross-Silo Federated Learning Across Divergent Domains with Iterative Parameter Alignment. Matt Gorbett, Hossein Shirazi, Indrakshi Ray |
| 2023 | Crude oil price forecasting base on an EEMD and multi-scale time series analysis combination methods. Ke Huang, Yin Luo, LiFei Ke, Jianwen Qin, Pingping Liu |
| 2023 | CultureBERT: Measuring Corporate Culture With Transformer-Based Language Models. Sebastian Koch, Stefan Pasch |
| 2023 | Cybersecurity in Public Space: Leveraging CNN and LSTM for Proactive Multivariate Time Series Classification. Aimen Ahmed Al Odaini, Francesco Zola, Lander Segurola-Gil, Amaia Gil-Lertxundi, Carmen D'Andrea |
| 2023 | DARC: High-dimensional Diffusing Anomaly Detection and Root Cause Location in Cloud Computing Systems. Wanning Sun, Xuhua Ma, Ruimin Peng, Yifan Xu, Dongrui Wu |
| 2023 | DG-GLNet: A Graph Convolutional Network for prediction of time sequence with topological structure. Guohui Ding, Yankai Wang, Yuqi Liu, Chao Jiang, Lulu Sun |
| 2023 | DISCERN: Leveraging Knowledge Distillation to Generate High Resolution Soil Moisture Estimation from Coarse Satellite Data. Abdul Matin, Paahuni Khandelwal, Shrideep Pallickara, Sangmi Lee Pallickara |
| 2023 | DRLO: Deep Representation Learning for Large Scale Off-track Satellite Remote Sensing Data. Xin Huang, Chenxi Wang, Wenbin Zhang, Sanjay Purushotham, Jianwu Wang |
| 2023 | DWT-TimesNet: An Improved Model for Wheat Price Long-Time Series Forecasting. Mingwei Lei, Xingfen Wang |
| 2023 | Data Poisoning Attacks over Diabetic Retinopathy Images Classification. Fabio Martinelli, Francesco Mercaldo, Marcello Di Giammarco, Antonella Santone |
| 2023 | Data Science Failure: A Literature Review. Sucheta Lahiri, Jeffrey S. Saltz |
| 2023 | Data Streaming in Concept-Dependent Granulation. Radoslaw Cybulski, Piotr Artiemjew |
| 2023 | Data mining of electronic structure of proteins and quantum evolution. Masanori Yamanaka |
| 2023 | Data-Driven Approaches to Detecting Misdeliveries in Truck Logistics using GPS Data. Ayumu Hidaka, Ryota Shin, Atsushi Tsuchiya, Norihiko Nakabayashi, Yukihiko Okada, Yohei Shida |
| 2023 | Data-Push Projects and their Unique Feature: Managing with Anomalies. Antoine Bordas, Pascal Le Masson, Benoit Weil |
| 2023 | DataCockpit: A Toolkit for Data Lake Navigation and Monitoring Utilizing Quality and Usage Information. Arpit Narechania, Surya Chakraborty, Shivam Agarwal, Atanu R. Sinha, Ryan A. Rossi, Fan Du, Jane Hoffswell, Shunan Guo, Eunyee Koh, Alex Endert, Shamkant B. Navathe |
| 2023 | De-SaTE: Denoising Self-attention Transformer Encoders for Li-ion Battery Health Prognostics. Gaurav Shinde, Rohan Mohapatra, Pooja Krishan, Saptarshi Sengupta |
| 2023 | Decentralized Personalized Online Federated Learning. Renzhi Wu, Saayan Mitra, Xiang Chen, Anup B. Rao |
| 2023 | Deciphering Student Coding Behavior: Interpretable Keystroke Features and Ensemble Strategies for Grade Prediction. Muhammad Fawad Akbar Khan, John Edwards, Paul M. Bodily, Hamid Karimi |
| 2023 | Decoding Gender on Social Networks: An In-depth Analysis of Language in Online Discussions Using Natural Language Processing and Machine Learning. Gerasimos Vonitsanos, Andreas Kanavos, Phivos Mylonas |
| 2023 | Deep Learning based Driving Posture Stability Analysis for People with Mobility Challenges. Ruoqi Huang, Mai Narasaki-Jara, Tingting Chen |
| 2023 | Deep Learning for Spatiotemporal Big Data: Opportunities and Challenges [Vision Paper]. Zhe Jiang |
| 2023 | Deep Machine Learning on Segmenting and Classifying Crop Images Taken by Unmanned Aerial Vehicle. Dan Chia-Tien Lo, Bobin Deng, Yong Shi |
| 2023 | Deep Reinforcement Learning based Data Placement optimization in Data Center Networks. Ravi Kaler, Durga Toshniwal |
| 2023 | Deep learning acceleration at the resource-constrained tactical edge. Billy E. Geerhart, Venkat R. Dasari, Peng Wang, Brian Rapp |
| 2023 | DeepScreen: Boosting Depression Screening Performance with an Auxiliary Task. Ricardo Flores, Avantika Shrestha, Elke A. Rundensteiner |
| 2023 | Defending Federated Learning Against Model Poisoning Attacks. Ibraheem Aloran, Saeed Samet |
| 2023 | Density-Based Prototypical Contrastive Learning on Visual Representations. Yueh-Lin Chung, Hsing-Kuo Pao |
| 2023 | Deployment and Application of Deep Learning Models under Computational Constraints. Jinwen Li, Wendong Wang |
| 2023 | Dermoscopic Image Classification Using Attention Mechanism and Ensemble Learning Approaches. Shanchuan Huang, Hongwei Lei, Liuhan Jin, Jinzhu Yang, Tao Jiang, Yudong Yao, Marcin Grzegorzek, Chen Li |
| 2023 | Design and Implementation of Blockchain Data Analysis Platform. Miyoung Jang, Dong-Myung Sul, Jongho Won, Ji-Yong Kim |
| 2023 | Design and Implementation of an ERC-20 Smart Contract on the Ethereum Blockchain. Joshua Priest, Cameron Cooper, Savvy Lovell, Yong Shi, Dan Lo |
| 2023 | Detecting Compromised IoT Devices Using Autoencoders with Sequential Hypothesis Testing. Md Mainuddin, Zhenhai Duan, Yingfei Dong |
| 2023 | Detecting Greenwashing in Sustainability Disclosures: A Prediction Model for KOSPI 200 Enterprises using ESG-BERT. Seonu Kim, Yoel Shin, Seongwoo Park, Semakula Joel, Seon Tae Kim, Joo Hee Oh |
| 2023 | Detecting Phishing URLs using the BERT Transformer Model. Denish Omondi Otieno, Faranak Abri, Akbar Siami Namin, Keith S. Jones |
| 2023 | Detecting Semantic Errors in Tables using Textual Evidence. Minh Pham, Craig A. Knoblock, Muhao Chen |
| 2023 | Detecting and Classifying Changes in Traffic Rules using Induction Loop Data. Aziza Zhanabatyrova, Clayton Frederick Souza Leite, Yu Xiao |
| 2023 | Detecting anomalous suppliers in electronic procurement systems using GAAN. Eduardo Cruz, Natalia Ramirez, Emanuel Parra, Daniel Ochoa |
| 2023 | Detecting industrial vehicles' duty levels using contrastive learning. Luca Cagliero, Silvia Buccafusco, Francesco Vaccarino, Lucia Salvatori, Riccardo Loti |
| 2023 | Detection of methane plumes using Sentinel-2 satellite images and deep neural networks trained on synthetically created label data. Maciel Zortea, João Lucas de Sousa Almeida, Levente J. Klein, Alberto Costa Nogueira Junior |
| 2023 | Developing a Large-Scale Language Model to Unveil and Alleviate Gender and Age Biases in Australian Job Ads. Ruochen Mao, Liming Tan, Rezza Moieni |
| 2023 | Developing and Evaluating a Model-Based Metric for Legal Question Answering Systems. Dilan Bakir, Beytullah Yildiz, Mehmet S. Aktas |
| 2023 | Development of AI-based Intrusion Detection System with Real-Time Flow Feature Extraction. Giwon Sur, Hyejin Kim, Seunghyun Yoon, Hyuk Lim |
| 2023 | Development of a Computer Vision-Based Road Physical Feature Extraction. Juliana Marie Agulto, Yeohan Lorenzo Noroña, Gian Carlo Gutierrez, Eric Benabaye, Geanne Franco, Ann Franchesca Laguna, Jocelynn Cu, Joel Ilao, Macario O. Cordel II |
| 2023 | Differentially Private Federated Learning: Privacy and Utility Analysis of Output Perturbation and DP-SGD. Anastasia Pustozerova, Jan Baumbach, Rudolf Mayer |
| 2023 | Differentially Private Frequency Tables Based on Random Sampling. Takumi Sugiyama, Kazuhiro Minami |
| 2023 | Difforecast: Image Generation Based Highway Traffic Forecasting with Diffusion Model. Pengnan Chi, Xiaoliang Ma |
| 2023 | Digital Finance, Market Competition, and Risk-Taking: A Study of Rural Commercial Banks in China. Chongshuang Hu, Minkang Li, Hufeng Yang, Minghao Li, Jichao Li, Jiang Jiang |
| 2023 | Digital Twin Space: The Integration of Digital Twins and Data Spaces. Alessandra Somma, Alessandra De Benedictis, Marco Zappatore, Cristian Martella, Angelo Martella, Antonella Longo |
| 2023 | Digital Twin supporting Blockchain in construction supply chain: from bio-based materials to energy efficiency and L.C.A.. Angelica Rocco |
| 2023 | Discovery and Matching Numerical Attributes in Data Lakes. Pattara Sukprasert, Gromit Yeuk-Yin Chan, Ryan A. Rossi, Fan Du, Eunyee Koh |
| 2023 | Distributed Concept Drift Detection for Efficient Model Adaptation with Big Data Streams. Ian Whitehouse, Rodrigo Yepez-Lopez, Roberto Corizzo |
| 2023 | Distributed Continual Intrusion Detection: A Collaborative Replay Framework. Kamil Faber, Bartlomiej Sniezynski, Roberto Corizzo |
| 2023 | Distributed Quantum Learning with co-Management in a Multi-tenant Quantum System. Anthony D'Onofrio Jr., Amir Hossain, Lesther Santana, Naseem Machlovi, Samuel A. Stein, Jinwei Liu, Ang Li, Ying Mao |
| 2023 | Diverse Data Expansion with Semi-Supervised k-Determinantal Point Processes. Simon Johansson, Ola Engkvist, Morteza Haghir Chehreghani, Alexander Schliep |
| 2023 | Dividing and Merging for Imbalanced Long-Tail Datasets. Minseo Park, Hyuk Lim, Seunghyun Yoon |
| 2023 | Document-Level Event Argument Extraction Based on Bidirectional Span Detection. Yong Zhang, Feng Xiong, Kai Zhang, Jiaxian Wang |
| 2023 | Does Double-entry Bookkeeping Information Generated Using node2vec Contribute to Forecasting Future Performance? Ryoki Motai, Masato Kamebuchi, Sora Watanabe, Ryo Matsumoto, Yukihiko Okada |
| 2023 | Does a Dense Point Cloud for Training Data Generation Improve Segmentation Accuracy? Marin Wada, Hiroaki Sudo, Miho Adachi, Ryusuke Miyamoto |
| 2023 | Domain-Enhanced Attention Enabled Deep Network for Behavioral Health Identification from 911 Narratives. Abm. Adnan Azmee, Martin Brown, Md Abdullah Al Hafiz Khan, Dominic Thomas, Yong Pei, Monica Nandan |
| 2023 | Drift-aware Anomaly Detection for Non-stationary Time Series. Yang Gao, Ying Li, Yang Li, Zunlei Feng, Mingli Song, Xingyu Wang, Chun Chen |
| 2023 | Driving into Uncertainty: An Adversarial Generative Approach for Multivariate Scenario Generation. Michele Carbonera, Michele Ciavotta, Enza Messina |
| 2023 | Dual-Path Side Information Fusion for Sequential Recommendation. Yu Zhang, Haiwei Pan, Kejia Zhang, Tianming Zhang, Qingquan Ren, Wenjie Li |
| 2023 | Dual-Teacher Knowledge Distillation for Strict Cold-Start Recommendation. Weizhi Zhang, Liangwei Yang, Yuwei Cao, Ke Xu, Yuanjie Zhu, Philip S. Yu |
| 2023 | Dynamic Analysis for the Detection of Locked Ether Smart Contracts. Zulfiqar Ali Khan, Akbar Siami Namin |
| 2023 | Dynamic Mining Interval to Improve Blockchain Throughput. Hou-Wan Long, Xiongfei Zhao, Yain-Whar Si |
| 2023 | Dynamic Price Personalization: Predicting the Optimum Price to Maximize Revenue. Kazuhiro Miyatsu |
| 2023 | ECA-RetinaNet: A Novel Self-Attention RetinaNet for Environmental Microorganism Image Object Detection. Hechen Yang, Jinzhu Yang, Tao Jiang, Xin Zhao, Jinghua Zhang, Peng Zhao, Ao Chen, Qianqing Nie, Marcin Grzegorzek, Chen Li |
| 2023 | EEG Signal-Based Authentication: A Performance Evaluation of Feature Extraction and Classification Techniques. Rahul Nagarajan, Malemsana Thokchom, Abdullah Irfan Siddiqui, Mohammad Iftekhar Husain |
| 2023 | ENCODE: Ensemble Contextual Bandits in Big Data Settings - A Case Study in E-Commerce Dynamic Pricing. Srividhya Sethuraman, Uma Maheswari G, Siddhesh Thombre, Sunny Kumar, Vikash Patel, Sharadha Ramanan |
| 2023 | Early ChatGPT User Portrait through the Lens of Data. Yuyang Deng, Ni Zhao, Xin Huang |
| 2023 | Effect of Varied Datasets on Training of a Segmentation Model Used in Visual Navigation. Marin Wada, Miho Adachi, Ryusuke Miyamoto |
| 2023 | Effective Face Inpainting by Conditional Generative Adversarial Network. Tzung-Pei Hong, Jin-Hang Wu, Ja-Hwung Su, Tang-Kai Yin |
| 2023 | Effective Prediction of Energy Consumption in Automated Guided Vehicles with Recurrent and Convolutional Neural Networks. Pawel Benecki, Daniel Kostrzewa, Piotr Grzesik, Bohdan Shubyn, Jia-Hao Syu, Jerry Chun-Wei Lin, Vaidy S. Sunderam, Dariusz Mrozek |
| 2023 | Effective and Efficient Big OLAP Data Cube Compression in Mobile Cloud Environments: The IQTS Algorithm. Alfredo Cuzzocrea, Mojtaba Hajian |
| 2023 | Efficiency in a College Admission Experiment: A Preliminary Simulation with Cognitive Ability Scores. Naoki Watanabe, Tetsuya Kawamura, Kazuhito Ogawa |
| 2023 | Efficient Dynamic Federated Learning for Imbalanced Data. Kasim Oztoprak, Reza Hassanpour |
| 2023 | Efficient Estimation of Local Causal Effects in Graphs via Neighborhood Pooling. Ryan A. Rossi, Somdeb Sarkhel, Nesreen K. Ahmed |
| 2023 | Efficient Extraction of Insights at the Edges of Distributed Systems. Amadou Ba, Fearghal O'Donncha, Joern Ploennigs, Muneeza Azmat |
| 2023 | Efficient Missing Value Imputation by Maximum Distance Likelihood. Savong Bou, Toshiyuki Amagasa, Hiroyuki Kitagawa, Salman Ahmed Shaikh, Akiyoshi Matono |
| 2023 | Efficient Time Series Classification Based on Learning Similar Trend Features in the Same Class Sequences. Guohui Ding, Zhaoyi Yuan, Wenjing Tang, Chao Jiang |
| 2023 | Efficiently Mining Frequent Representative Motifs in Large Collections of Time Series. Stijn J. Rotman, Boris Cule, Len Feremans |
| 2023 | Ego-Network Transformer for Subsequence Classification in Time Series Data. Chin-Chia Michael Yeh, Huiyuan Chen, Yujie Fan, Xin Dai, Yan Zheng, Vivian Lai, Junpeng Wang, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh |
| 2023 | Embedding Climate Dynamics and Prediction with Deep Learning for Wind Power Forecasting: Short-Term to Long-Term Perspective. Hana Kim, Yong Oh Lee, Changsoo Ok, Dongkyun Kim, Seungyup Baek |
| 2023 | Empirical Study of LLM Fine-Tuning for Text Classification in Legal Document Review. Fusheng Wei, Robert Keeling, Nathaniel Huber-Fliflet, Jianping Zhang, Adam Dabrowski, Jingchao Yang, Qiang Mao, Han Qin |
| 2023 | Empowering Cover Crop Decision Support with Visualization and Provenance Enhancement. Sujan Shrestha, Jianxin Sun, Katja Koehler-Cole, Andrea Basche, Hongfeng Yu |
| 2023 | Empowering Search and Rescue Operations with Big Data Technology: A Comprehensive Study of YOLOv8 Transfer Learning for Transportation Safety. Luciano Netto de Lima, Fabio Augusto de Alcantara Andrade, Youcef Djenouri, Carlos Pfeiffer, Marcos Moura |
| 2023 | Enabling Cross-Language Data Integration and Scalable Analytics in Decentralized Finance. Conor Flynn, Kristin P. Bennett, John S. Erickson, Aaron Green, Oshani Seneviratne |
| 2023 | Enabling Dataspaces Using Foundation Models: Technical, Legal and Ethical Considerations and Future Trends. Mohan Timilsina, Samuele Buosi, Ping Song, Yang Yang, Rafiqul Haque, Edward Curry |
| 2023 | Energy BigData platform for residential heat information. Tai-Yeon Ku, Wan-Ki Park, Hoon Choi |
| 2023 | Energy-Aware Query Processing: A Case Study on Join Reordering. Ladjel Bellatreche, Fouad Djellali, Wojciech Macyna, Carlos Ordonez |
| 2023 | Engineering Data Assets for Public Health Applications: A Covid-19 Case Study. Michael Scriney, Mohan Timilsina, Edward Curry, Lukasz Porwol, Dongyun Nie, Darren Dahley, Jaime B. Fernandez, Mathieu d'Aquin, Mark Roantree |
| 2023 | Enhanced Arrhythmia Classification through Feature Engineering and Hierarchical Modeling. Fahad Hakami, Lin-Ching Chang |
| 2023 | Enhanced Segmentation of PV Arrays in Infrared Images using an Improved SegFormer Approach. Wanghu Chen, Shengfang Jin, YiHua Luo, Jing Li |
| 2023 | Enhancing Concept Drift Detection in Drifting and Imbalanced Data Streams through Meta-Learning. Gabriel Jonas Aguiar, Alberto Cano |
| 2023 | Enhancing Cyber Threat Hunting: A Visual Approach with the Forensic Visualization Toolkit. Jihane Najar, Marinos Tsantekidis, Aris Sotiropoulos, Vassilis Prevelakis |
| 2023 | Enhancing Digital Learning: A Usability Evaluation of the Canvas LMS at the University of North Texas A Pilot Study at the University of North Texas. Shabbab Ali Algamdi, Stephanie Ludi |
| 2023 | Enhancing Disease Diagnosis: A CNN-Based Approach for Automated White Blood Cell Classification. Athanasios Kanavos, Orestis Papadimitriou, Alexios Kaponis, Manolis Maragoudakis |
| 2023 | Enhancing Edge Intelligence with Highly Discriminant LNT Features. Xinyu Wang, Vinod K. Mishra, C.-C. Jay Kuo |
| 2023 | Enhancing Object Detection in YouTube Thumbnails Forensics with YOLOv4. Shahrzad Sayyafzadeh, Hongmei Chi, Shuyuan Mary Ho, Idongesit Mkpong-Ruffin |
| 2023 | Enhancing Representation Learning with Label Association for Multi-Label Text Classification. Wang Zhang, Xin Wang, Yuhong Wu, Xingpeng Zhang, Huayi Zhan |
| 2023 | Enhancing Scientific Image Classification through Multimodal Learning: Insights from Chest X-Ray and Atomic Force Microscopy Datasets. David C. Meshnick, Nahal Shahini, Debargha Ganguly, Yinghui Wu, Roger H. French, Vipin Chaudhary |
| 2023 | Enhancing Vocal-Based Laryngeal Cancer Screening with Additional Patient Information and Voice Signal Embedding. Jaemin Song, Yong Oh Lee, Seho Park, Youn Kyu Lee, Hansang Park, Hyun-Bum Kim |
| 2023 | Equipping Pretrained Unconditional Music Transformers with Instrument and Genre Controls. Weihan Xu, Julian J. McAuley, Shlomo Dubnov, Hao-Wen Dong |
| 2023 | Estimating Water Storage from Images. Ajmal Shahbaz, Syed Younas, Lyndon N. Smith, Chad Staddon |
| 2023 | Estimating the AGV load and a battery lifetime based on the current measurement and random forest application. Krzysztof Hanzel, Damian Grzechca, Adam Ziebinski, Lukas Chruszczyk, Artur Janus |
| 2023 | Ethical Hacking in Digital Forensics. Damilola Oladimeji, Laura Garland, Jayanthi Ramamoorthy, Bing Zhou |
| 2023 | Evaluate and Compare Machine Learning Models for Temperature Forecasting of Meteorological Data in Hohhot. Ruyuan Han, Lei Yu |
| 2023 | Evaluating CLIP's Understanding on Relationships in a Blocks World. Kairui Zhang, Martha Lewis |
| 2023 | Evaluating Representativeness in PDF Malware Datasets: A Comparative Study and a New Dataset. Ran Liu, Robert J. Joyce, Cynthia Matuszek, Charles Nicholas |
| 2023 | Evaluating Speech Emotion Recognition through the lens of CNN & LSTM Deep Learning Models. Daniel F. O. Onah, Asia Ibrahim |
| 2023 | Evaluating the alleviation of traffic congestion through Bus Rapid Transit using Multi-Agent Simulation. Zeyu Zhou, Mizuki Kobayashi, Uta Sato, Kazuma Akashi, Ayato Kitadai, Soma Sugihara, Yusuke Fukasawa, Masanori Fujuta, Nariaki Nishino |
| 2023 | Explainability of Leverage Points Exploration for Customer Churn Prediction. Danny Yu-Chung Wang, Lars Arne Jordanger, Jerry Chun-Wei Lin |
| 2023 | Explainable Deep Learning for Smart Grid Stability Detection. Giovanni Ciaramella, Fabio Martinelli, Francesco Mercaldo, Antonella Santone |
| 2023 | Explainable Long-Term Forecasting of Air Pollution. Abdul Mutakabbir, Samuel A. Ajila |
| 2023 | Explainable NLP Model for Predicting Patient Admissions at Emergency Department Using Triage Notes. Émilien Arnaud, Mahmoud Elbattah, Pedro A. Moreno-Sánchez, Gilles Dequen, Daniel Aiham Ghazali |
| 2023 | Explainable Text Classification for Legal Document Review in Construction Delay Disputes. Nathaniel Huber-Fliflet, Jianping Zhang, Peter Gronvall, Fusheng Wei, Philip Spinelli, Adam Dabrowski, Jingchao Yang |
| 2023 | Explainable e-Discovery (XeD) Using an Interpretable Fuzzy ARTMAP Neural Network for Technology-Assisted Review. Charles Courchaine, Tasnova Tabassum, Corey Wade, Ricky J. Sethi |
| 2023 | ExplainerX: An Integrated and Explainable AI Framework for Nearly Zero-Energy Buildings. Asma Kermiche, Chaima Rouzzi, Ladjel Bellatreche |
| 2023 | Exploiting Large Language Models (LLMs) through Deception Techniques and Persuasion Principles. Sonali Singh, Faranak Abri, Akbar Siami Namin |
| 2023 | Exploiting Multiple Sequence Lengths in Fast End to End Training for Image Captioning. Jia-Cheng Hu, Roberto Cavicchioli, Alessandro Capotondi |
| 2023 | Exploring AndroidManifest.xml for Automated Android Apps Classification. Elena Flondor |
| 2023 | Exploring Approaches to Optimize the Performance of Predictive Coding on Multilanguage Data Sets. Christian J. Mahoney, Nathaniel Huber-Fliflet, Peter Gronvall, Chris Clark, Jianping Zhang, Fusheng Wei, Qiang Mao |
| 2023 | Exploring Dementia Risk in Cardiovascular Patients Through AI-Enabled Big Data Analysis. Shreya Iyer, Jacob Brain, Reza Omidvar, Mario Siervo, Nadeem Qureshi, Ralph K. Akyea, Stephen Kaptoge, Grazziela P. Figueredo, Blossom Stephan |
| 2023 | Exploring Power Outage Prediction Using Weather and Socioeconomic Data in the Southeastern Part of the United States. Ethan Cruz, Thilanka Munasinghe |
| 2023 | Exploring Wavelet Transform Usages for Error-bounded Scientific Data Compression. Jiajun Huang, Jinyang Liu, Sheng Di, Yujia Zhai, Zizhe Jian, Shixun Wu, Kai Zhao, Zizhong Chen, Yanfei Guo, Franck Cappello |
| 2023 | Exploring factors influencing the adoption of in-home respite services: A data science approach. Stephen Cc Cheng, Clio Yuen Man Cheng, Dah Ming Chiu, Alice Ming Lin Chong, Vivian Weiqun Lou |
| 2023 | Exploring the Application of Large Language Models in Detecting and Protecting Personally Identifiable Information in Archival Data: A Comprehensive Study. Jianliang Yang, Xiya Zhang, Kai Liang, Yuenan Liu |
| 2023 | Exploring the Distinctive Tweeting Patterns of Toxic Twitter Users. Hina Qayyum, Muhammad Ikram, Benjamin Zi Hao Zhao, Ian D. Wood, Nicolas Kourtellis, Mohamed Ali Kâafar |
| 2023 | Exploring the Fundamental Units of Semantic Representation of Data Using Heterogeneous Variable Network in Data Ecosystems. Teruaki Hayashi, Yukihisa Fujita, Masahiro Kuwahara |
| 2023 | Exploring the Performance Impacts of Training Predictive Models with Inclusive Email Threads. Chris Clark, Han Qin, Nathaniel Huber-Fliflet, Adam Dabrowski, Jianping Zhang |
| 2023 | Exploring the Value of Pre-trained Language Models for Clinical Named Entity Recognition. Samuel Belkadi, Lifeng Han, Yuping Wu, Goran Nenadic |
| 2023 | Expressway: Prioritizing Edges for Distributed Evaluation of Graph Queries. Abbas Mazloumi, Mahbod Afarin, Rajiv Gupta |
| 2023 | Extending Healthy Life Expectancy: Frailty Detection Model Using Smart Meter and Machine Learning. Kijun Kim, Noboru Koshizuka |
| 2023 | Extending Variability-Aware Model Selection with Bias Detection in Machine Learning Projects. Cristina Tavares, Nathalia Moraes do Nascimento, Paulo Alencar, Donald D. Cowan |
| 2023 | Extending the Horizon by Empowering Government Customer Service Officers with ACQAR for Enhanced Citizen Service Delivery. Alvina Lee Hui Shan, Venky Shankararaman, Eng Lieh Ouh |
| 2023 | Extraction of Medication and Temporal Relation from Clinical Text using Neural Language Models. Hangyu Tu, Lifeng Han, Goran Nenadic |
| 2023 | F-TBDA: A Frequency-Based Temporal Big Data Analytics Technique for Mining and Analyzing Quality-Of-Life Indicators of Cancer Patients. Alfredo Cuzzocrea, Geertruida H. de Bock, Willemijn J. Maas, Selim Soufargi |
| 2023 | FNDaaS: Content-agnostic Detection of Websites Distributing Fake News. Panagiotis Papadopoulos, Dimitris Spythouris, Evangelos P. Markatos, Nicolas Kourtellis |
| 2023 | FOCAL: A Cost-Aware Video Dataset for Active Learning. Kiran Kokilepersaud, Yash-Yee Logan, Ryan Benkert, Chen Zhou, Mohit Prabhushankar, Ghassan AlRegib, Enrique Corona, Kunjan Singh, Mostafa Parchami |
| 2023 | Fake News Detection via Sentiment Neutralization. Hanjuan Huang, Hsuan-Ting Peng, Hsing-Kuo Pao |
| 2023 | Fast Graph Learning for Traffic Prediction. Sungsoo Kim, Moonyoung Chung |
| 2023 | Fast Heavy Inner Product Identification Between Weights and Inputs in Neural Network Training. Lianke Qin, Saayan Mitra, Zhao Song, Yuanyuan Yang, Tianyi Zhou |
| 2023 | Fast Meta Failure Recovery for Federated Meta-Learning. Brandon Delliquadri, Chao Wang, Shuo Chen, Zhengxiong Li, Hui Luo, Hailu Xu |
| 2023 | Feature Acquisition Using Monte Carlo Tree Search. Sungsoo Lim, Diego Klabjan, Mark Shapiro |
| 2023 | Feature Importances for Predicting Future Performance of Professional Soccer Player. Gawon Lim |
| 2023 | Feature Selection on Big Data using Masked Sparse Bottleneck Centroid-Encoder. Tomojit Ghosh, Michael Kirby |
| 2023 | FedCIO: Efficient Exact Federated Unlearning with Clustering, Isolation, and One-shot Aggregation. Hongyu Qiu, Yongwei Wang, Yonghui Xu, Lizhen Cui, Zhiqi Shen |
| 2023 | FedSym: Unleashing the Power of Entropy for Benchmarking the Algorithms for Federated Learning. Ensiye Kiyamousavi, Boris Kraychev, Ivan Koychev |
| 2023 | Federated Learning for Sparse Principal Component Analysis. Sin Cheng Ciou, Pin-Jui Chen, Elvin Y. Tseng, Yuh-Jye Lee |
| 2023 | Fine-Grained Urban Population Distribution Estimation Using Image Super-Resolution Model with Rich Auxiliary Information. Naoto Takeda, Akihiro Kobayashi, Yudai Yamazaki, Daisuke Kamisaka |
| 2023 | Fine-tuned generative LLM oversampling can improve performance over traditional techniques on multiclass imbalanced text classification. Nicolas Antonio Cloutier, Nathalie Japkowicz |
| 2023 | Finformer: A Static-dynamic Spatiotemporal Framework for Stock Trend Prediction. Yi Zu, Jiacong Mi, Lingning Song, Shan Lu, Jieyue He |
| 2023 | Flexible Communication for Optimal Distributed Learning over Unpredictable Networks. Sahil Tyagi, Martin Swany |
| 2023 | Force-directed graph embedding with hops distance. Hamidreza Lotfalizadeh, Mohammad Al Hasan |
| 2023 | Forecasting COVID-19 Hotspots in Florida Public Schools: A Machine Learning Approach. Mingming Peng, Askal Ayalew Ali, Hongmei Chi |
| 2023 | Forecasting Commodities Prices with the Bayesian Symbolic Regression Compared to Other Methods. Krzysztof Drachal |
| 2023 | Forecasting Resource Demand for Dynamic Datacenter Sizing in Telco Infrastructures. Dimitra Paranou, Angelos Pentelas, Dimitris Katsiros, Konstantinos Maidatsis, George Giannopoulos, Evangelos Angelou, Nikos Anastopoulos, George Papastefanatos |
| 2023 | Forgetting User Preference in Recommendation Systems with Label-Flipping. Manal A. Alshehri, Xiangliang Zhang |
| 2023 | Fostering Innovation in Urban Transportation Risk Management: A Multi-Sector Collaborative Benchmarking Platform. Minh-Son Dao, Huy Quang Ung, Sadanori Ito, Shinya Wada, Koji Zettsu |
| 2023 | Foundation Data Space Models: Bridging the Artificial Intelligence and Data Ecosystems (Vision Paper). Edward Curry, Tarek Zaarour, Yang Yang, Mohan Timilsina, Majjed Al-Qatf, Rafiqul Haque |
| 2023 | Frequent Subgraph Mining in Dynamic Databases. Zhaoming Chen, Xinyang Chen, Guoting Chen, Wensheng Gan |
| 2023 | From Base to Conversational: Japanese Instruction Dataset and Tuning Large Language Models. Masahiro Suzuki, Masanori Hirano, Hiroki Sakaji |
| 2023 | From Satellites to Fields: Machine Learning Applications for Prediction of Corn Production Using NDVI, Precipitation and Land Surface Temperature for Large Producer Countries. Saniya Nangia, Thilanka Munasinghe, Heidi Tubbs, Assaf Anyamba |
| 2023 | Functional Arm Movement Classification in Stroke Survivors Using Deep Learning with Accelerometry Data. Tan Tran, Lin-Ching Chang, Peter S. Lum |
| 2023 | GAME: Improving Efficiency and Effectiveness of Knowledge-Graph Rule Mining via Data Reduction. Kara Schatz, Alexander Tropsha, Rada Chirkova |
| 2023 | GCN-based Explainable Recommendation using a Knowledge Graph and a Language Model. Jeongbin Lee, Kunyoung Kim, Mye M. Sohn, Jongmo Kim |
| 2023 | GDP Nowcasting Based on Daily Electricity Data and Financial Market Data. Wei Shang, Xun Zhang, Rui Tao, Xiuzhenzi Wang, Lili Zhang |
| 2023 | GINN: Towards Gender InclusioNeural Network. Matteo Berta, Bartolomeo Vacchetti, Tania Cerquitelli |
| 2023 | GLEm-Net: Unified Framework for Data Reduction with Categorical and Numerical Features. Francesco De Santis, Danilo Giordano, Marco Mellia, Alessia Damilano |
| 2023 | GNN-Ensemble: Towards Random Decision Graph Neural Networks. Wenqi Wei, Mu Qiao, Divyesh Jadav |
| 2023 | GPT in Data Science: A Practical Exploration of Model Selection. Nathalia Moraes do Nascimento, Cristina Tavares, Paulo S. C. Alencar, Donald D. Cowan |
| 2023 | GPT-in-the-Loop: Supporting Adaptation in Multiagent Systems. Nathalia Moraes do Nascimento, Paulo S. C. Alencar, Donald D. Cowan |
| 2023 | GPU Acceleration for Data Processing and Analytics. Qiong Luo |
| 2023 | GPU-accelerated PostgreSQL for Scalable Management and Processing of Irregular Time-Series Data using SPI. Jamal Saied-Walker, Pallavi Gupta, Ruhan Yi, Noah Marchal, Marjorie Skubic, Grant J. Scott |
| 2023 | Game Based Virtual Reality Platform for Geometry. Himangshu Sarma, Mahaboob Shaik, Surya Teja Tangirala, Satyam Kumar Singh |
| 2023 | Gender Classification Accuracy via Two-Dimensional Body Joints using Convolutional Neural Networks. Cheng-En Sung, Nada Attar |
| 2023 | General Concepts in Swarm of Drones Control: Analysis and Implementation. Dariusz Marek, Marcin Paszkuta, Jakub Szygula, Piotr Biernacki, Adam Domanski, Marta Szczygiel, Marcel Król, Konrad Wojciechowski |
| 2023 | General Risk Index : A Measure for Predicting Violent Behavior Through Written Communication. Lisa Kaati, Amendra Shrestha, Nazar Akrami |
| 2023 | Generalized Causal Tree for Uplift Modeling. Preetam Nandy, Xiufan Yu, Wanjun Liu, Ye Tu, Kinjal Basu, Shaunak Chatterjee |
| 2023 | Generating Prototypes for Contradiction Detection Using Large Language Models and Linguistic Rules. Maren Pielka, Svetlana Schmidt, Rafet Sifa |
| 2023 | Generating large-scale human flow datasets from measured pedestrian movement data and simulation. Mei Takeda, Masaki Onishi |
| 2023 | Generative AI Approach to Distributed Summarization of Financial Narratives. Neelesh K. Shukla, Raghu Katikeri, Msp Raja, Gowtham Sivam, Shlok Yadav, Amit Vaid, Shreenivas Prabhakararao |
| 2023 | Geospatial Enrichment of Urban Data for Advanced City Planning: a Pilot Study. Iva Krasteva, Dessislava Petrova-Antonova, Flavio De Paoli, Emil Popov Hristov, Milena Borukova, Michele Ciavotta, Roberto Avogadro |
| 2023 | Graph Coordinates and Conventional Neural Networks - An Alternative for Graph Neural Networks. Zheyi Qin, Randy C. Paffenroth, Anura P. Jayasumana |
| 2023 | Graph Encoding-Enhanced Transformer for Drug Recommendation. Xunsheng Cai, Syauki Aulia Thamrin, Arbee L. P. Chen |
| 2023 | Graph Neural Networks for Entity Matching. Evgeny Krivosheev, Katsiaryna Mirylenka, Mattia Atzeni, Paolo Scotton |
| 2023 | Graph-Based Approach for European Law Classification. Raffaele Russo, Giuliano Di Giuseppe, Alessandro Vanacore, Valerio La Gatta, Antonino Ferraro, Antonio Galli, Marco Postiglione, Vincenzo Moscato |
| 2023 | Group-Aware Interest Disentangled Dual-Training for Personalized Recommendation. Xiaolong Liu, Liangwei Yang, Zhiwei Liu, Xiaohan Li, Mingdai Yang, Chen Wang, Philip S. Yu |
| 2023 | H-MIS: A Hierarchical Multi-Identifier System Based on Blockchain. Qi Lyu, Hui Li, Xinnan Lin, Han Wang, Hanxu Hou, Yuguo Yin, Qianbin Chen, Ping Fan, Gang Wan, Xiang Zhu, Selwyn Deng, Weixiang Huang, Jianping Wu, Jieren Cheng, Wenyuan Yang |
| 2023 | HARVEST: High-Performance Artificial Vision Framework for Expert Labeling using Semi-Supervised Training. Nawras Alnaasan, Matthew Lieber, Aamir Shafi, Hari Subramoni, Scott A. Shearer, Dhabaleswar K. Panda |
| 2023 | Hallucination-minimized Data-to-answer Framework for Financial Decision-makers. Sohini Roychowdhury, Andres Alvarez, Brian Moore, Marko Krema, Maria Paz Gelpi, Punit Agrawal, Federico Martin Rodriguez, Angel Rodriguez, Jose Ramon Cabrejas, Pablo Martinez Serrano, Arijit Mukherjee |
| 2023 | Harnessing Behavioral Traits to Enhance Financial Stock Recommender Systems: Tackling the User Cold Start Problem. Takehiro Takayanagi, Kiyoshi Izumi |
| 2023 | Harvesting Large Textual and Multimedia Data to Detect Illegal Activities on Dark Web Marketplaces. Georgia Chatzimarkaki, Sophia Karagiorgou, Mariza Konidi, Dimitrios Alexandrou, Thanassis D. Bouras, Spyridon Evangelatos |
| 2023 | Hate speech and hate crimes: a data-driven study of evolving discourse around marginalized groups. Malvina Bozhidarova, Jonathn Chang, Aaishah Ale-rasool, Yuxiang Liu, Chongyao Ma, Andrea L. Bertozzi, P. Jeffrey Brantingham, Junyuan Lin, Sanjukta Krishnagopal |
| 2023 | Have your data and share it too: Private data analytics at scale. Minos N. Garofalakis |
| 2023 | Heterogeneous Domain Adaptation with Positive and Unlabeled Data. Junki Mori, Ryo Furukawa, Isamu Teranishi, Jun Sakuma |
| 2023 | Hide My Payload: An Empirical Study of Antimalware Evasion Tools. Hannes Holm, Erik Hyllienmark |
| 2023 | HierAct: a Hierarchical Model for Human Activity Recognition in Game-Like Educational Applications. Nur Kelesoglu, Katarzyna Filus, Joanna Domanska |
| 2023 | Hierarchical Federated Transfer learning and Digital Twin Enhanced Secure Cooperative Smart Farming. Lopamudra Praharaj, Maanak Gupta, Deepti Gupta |
| 2023 | Hierarchical Rule Compliance Check Method for Distributed Query. Divya Singh, Mika Takata, Toshihiko Kashiyama, Satoshi Katsunuma, Norifumi Nishikawa |
| 2023 | Hierarchical Uncertainty Aggregation and Emphasis Loss for Active Learning in Object Detection. Tai Nguyen, Khoa Nguyen, Thanh Nguyen, Tri Nguyen, Anh Nguyen, Karrman Kim |
| 2023 | How Global Retailer ADEO Migrated to Google BigQuery with Database Virtualization. Ehab Abdelhamid, Amirhossein Aleyasen, Michael Duller, Eric Foratier, Vincent Fruleux, Mirella Katch, Gourab Mitra, Rima Mutreja, Jozsef Patvarczki, Matthew Pope, Nikos Tsikoudis, F. Michael Waas |
| 2023 | How Wildfire Wreaked Havoc in California: Impact of evacuation on residents? Vasuda Trehan |
| 2023 | How much data do I need? A case study on medical data. Ayse Betul Cengiz, A. Stephen McGough |
| 2023 | Humans vs. ChatGPT: Evaluating Annotation Methods for Financial Corpora. Jamshed Kaikaus, Haoen Li, Robert J. Brunner |
| 2023 | Humor Level Recognition Based on Prompt Learning and Contrastive Learning. Shaowu Zhang, Xijun Cui, Tongyue Zhang, Hongfei Lin, Liang Yang |
| 2023 | HungerGist: An Interpretable Predictive Model for Food Insecurity. Yongsu Ahn, Muheng Yan, Yu-Ru Lin, Zian Wang |
| 2023 | Hybrid Attack Graph Generation with Graph Convolutional Deep-Q Learning. Sam Donald, Rounak Meyur, Sumit Purohit |
| 2023 | Hybrid Loss for Hierarchical Multi-label Classification Network. Wenting Qi, Charalampos Chelmis |
| 2023 | Hypergraph Neural Networks for Time-series Forecasting. Hongjie Chen, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Hoda Eldardiry |
| 2023 | Hyperparameter Tuning of a Deep Learning EEG-based Neural Network for the Diagnosis of ADHD. Javier Sanchis, Miguel A. Teruel, Juan Trujillo |
| 2023 | ICS Honeypot Interactions: A Latitudinal Study. Francesco Lupia, Marco Lucchese, Massimo Merro, Nicola Zannone |
| 2023 | ID-MixGCL: Identity Mixup for Graph Contrastive Learning. Gehang Zhang, Bowen Yu, Jiangxia Cao, Xinghua Zhang, Jiawei Sheng, Chuan Zhou, Tingwen Liu |
| 2023 | IDMU: Impact Driven Machine Unlearning. Shubhi Asthana, Bing Zhang, Ruchi Mahindru, Indervir Singh Banipal, Pawan Chowdhary |
| 2023 | IEEE BigData 2023 Keystroke Verification Challenge (KVC). Giuseppe Stragapede, Rubén Vera-Rodríguez, Ruben Tolosana, Aythami Morales, Ivan DeAndres-Tame, Naser Damer, Julian Fiérrez, Javier Ortega-Garcia, Nahuel González, Andrei Shadrikov, Dmitrii Gordin, Leon Schmitt, Daniel Wimmer, Christoph Großmann, Joerdis Krieger, Florian Heinz, Ron Krestel, Christoffer Mayer, Simon Haberl, Helena Gschrey, Yosuke Yamagishi, Sanjay Saha, Sanka Rasnayaka, Sandareka Wickramanayake, Terence Sim, Weronika Gutfeter, Adam Baran, Mateusz Krzyszton, Przemyslaw Jaskola |
| 2023 | IEEE BigData Cup 2023 Report: Object Recognition with Muon Tomography Using Cosmic Rays. Mateusz Wnuk, Jan Dziuba, Andrzej Janusz, Dominik Slezak |
| 2023 | IEEE International Conference on Big Data, BigData 2023, Sorrento, Italy, December 15-18, 2023 Jingrui He, Themis Palpanas, Xiaohua Hu, Alfredo Cuzzocrea, Dejing Dou, Dominik Slezak, Wei Wang, Aleksandra Gruca, Jerry Chun-Wei Lin, Rakesh Agrawal |
| 2023 | IIP-Transformer: Intra-Inter-Part Transformer for Skeleton-Based Action Recognition. Qingtian Wang, Shuze Shi, Jiabin He, Jianlin Peng, Tingxi Liu, Renliang Weng |
| 2023 | ITDT: International Testbed for Dataspace Technology. Itsuki Matsunaga, Takashi Michikata, Noboru Koshizuka |
| 2023 | Identifying Regions of High Demand for Transportation Services based on Cluster Evolution and Graph Analysis. Ivens Portugal, Paulo S. C. Alencar, Donald D. Cowan |
| 2023 | Identifying going concern issues in auditor opinions: link to bankruptcy events. Konstantinos Bougiatiotis, Elias Zavitsanos, Georgios Paliouras |
| 2023 | Identifying key factors in designing data spaces for Urban Digital Twin Platforms: a data driven approach. Cristian Martella, Angelo Martella, Amro Issam Hamed Attia Ramadan |
| 2023 | Identifying suitable attributes for Record Linkage using Association Analysis. Nachiket Deo, Sanguthevar Rajasekaran, Rany Kamel |
| 2023 | Image Data Augmentation and Detection Study for Pothole Detection Algorithm. Jisoo Hong, Youngjin Jung, Kang Sung Woo |
| 2023 | Impact Analysis of Social Events on Industries through Narrative Causal Search. Ryotaro Kobayashi, Yuri Murayama, Kiyoshi Izumi |
| 2023 | Impact and Analysis of Long COVID on Cardiovascular Diseases. Daniel Chia, Priya Deshpande |
| 2023 | Impact of Mixed Multimodalities and Size Dependence on Performance of Object Detection on Multimodal Satellite Imagery Nikita Gordienko, Yuri G. Gordienko, Oleksandr Rokovyi, Oleg Alienin, Andrii Polukhin, Sergii G. Stirenko |
| 2023 | Improve interpretability of Information Bottlenecks for Attribution with Layer-wise Relevance Propagation. Xiongren Chen, Jiuyong Li, Jixue Liu, Stefan Peters, Lin Liu, Thuc Duy Le, Anthony Walsh |
| 2023 | Improved Dynamic Coupled Graph Convolutional Recurrent Networks for Traffic Forecasting. Seunghoon Han, Sungsoo Kim, Sungsu Lim |
| 2023 | Improved Tactical Decision Making and Control Architecture for Autonomous Truck in SUMO Using Reinforcement Learning. Deepthi Pathare, Leo Laine, Morteza Haghir Chehreghani |
| 2023 | Improving Adversarially Robust Sequential Recommendation through Generalizable Perturbations. Xun Yao, Ruyi He, Xinrong Hu, Jie Yang, Yi Guo, Zijian Huang |
| 2023 | Improving Cybersecurity Awareness: Tweet Classification using Multilingual Sentence Embeddings and Contextual Features. Anastasia Cotov, Carlo Bono, Cinzia Cappiello, Barbara Pernici |
| 2023 | Improving Fingerprint Classification Accuracy Using Image Enhancement Deep Learning Models. Nikita Dalvi, Min Kyung An, ABM Rezbaul Islam, Vung Pham |
| 2023 | Improving Knowledge Distillation for Federated Learning on Non-IID Data. Zongyi Chen, Sanchuan Guo, Liyan Shen, Xi Zhang, Zhuonan Chang |
| 2023 | Improving conversion rate prediction via self-supervised pre-training in online advertising. Alex Shtoff, Yohay Kaplan, Ariel Raviv |
| 2023 | Improving the Utility of Differentially Private SGD by Employing Wavelet Transforms. Kanishka Ranaweera, David B. Smith, Dinh C. Nguyen, Pubudu N. Pathirana, Ming Ding, Thierry Rakotoarivelo, Aruna Seneviratne |
| 2023 | Incorporating Emotions into Health Mention Classification Task on Social Media. Olanrewaju Tahir Aduragba, Jialin Yu, Alexandra I. Cristea |
| 2023 | Increase Merge Efficiency in LSM Trees Through Coordinated Partitioning of Sorted Runs. Qizhong Mao, Vagelis Hristidis |
| 2023 | IndexAI: AI Based Index Selection for NoSQL Databases. Mohammad Mahdi Khosravi, Pinar Karagoz, Ismail Hakki Toroslu |
| 2023 | Indexing and Visualization of Climate Change Narratives Using BERT and Causal Extraction. Hiroki Sakaji, Noriyasu Kaneda |
| 2023 | Individualized Reservation fare optimization for Designated Driver Service. Kyuyoung Lee, Jiseon Lee, Seungyoun Lee, Hoonyong Shim, Jungmin Kim |
| 2023 | Integrating Climate Variable Data in Machine Learning Models for Predictive Analytics of Tomato Yields in California. Tianze Zhu, Junyi Wu, Tingyi Tan, Shuheng Wang, Thilanka Munasinghe, Heidi Tubbs, Assaf Anyamba |
| 2023 | Integrating Noisy Knowledge into Language Representations for E-Commerce Applications. Karan Samel, Jun Ma, Zhengyang Wang, Tong Zhao, Irfan Essa |
| 2023 | Integrating Staleness and Shapley Value Consistency for Efficient K-Asynchronous Federated Learning. Yuhui Jiang, Xingjian Lu, Wei Mao, Ying Li |
| 2023 | Integrating a PICO Clinical Questioning to the QL4POMR Framework for Building Evidence-Based Clinical Case Reports. Sabah Mohammed, Jinan Fiaidhi, Rahul Kudadiya |
| 2023 | Intelligent Attack Detection in ROS-based Systems. Hande Çavsi Zaim, Esra Nergis Yolaçan, Uraz Yavanoglu |
| 2023 | Intentional Youth Development Activities and Peer Effects in a Gang Prevention Program. Haoran Jia, Haoyu Li, Xinyue Li, Xiaoxian Shen, Yichen Wang, Zichun Liao, Andrea L. Bertozzi, P. Jeffrey Brantingham, Jona Lelmi |
| 2023 | Interaction in Metaverse: A Survey. Hong Lin, Zirun Gan, Wensheng Gan, Zhenlian Qi, Yuehua Wang, Philip S. Yu |
| 2023 | Interactive Visualization and Portable Image Blending of Massive Aerial Image Mosaics. Steve Petruzza, Brian Summa, Amy Gooch, Christine Laney, Tristan Goulden, John M. Schreiner, Steven P. Callahan, Valerio Pascucci |
| 2023 | Interactive Visualization for Smart Power Grid Efficiency and Outage Exploration. Dongyun Han, Isaac Cho |
| 2023 | Interpretable Sock Puppet Attribution. Chun-Wei Seah, Chia-Yu Hung, Yujia Hu, Hai Leong Chieu, Roy Ka-Wei Lee |
| 2023 | Interpretable Solar Flare Prediction with Sliding Window Multivariate Time Series Forests. Anli Ji, Berkay Aydin |
| 2023 | Interpretable Unsupervised Log Anomaly Detection. Jaeho Bang, Sungchul Kim, Ryan A. Rossi, Tong Yu, Handong Zhao |
| 2023 | Interpretable and robust hospital readmission predictions from Electronic Health Records. Hugo Calero-Díaz, Rebeen Ali Hamad, Christian Atallah, John Casement, Dexter Canoy, Nick J. Reynolds, Michael Barnes, Paolo Missier |
| 2023 | Interpreting and understanding the image using deep learning and imprecise information from the monitoring system. Mariusz Kubanek, Janusz Bobulski, Lukasz Karbowiak |
| 2023 | Introducing Computational Thinking in Middle-Schools using a Culturally-responsive Game through a Researcher-Practitioner Partnership. Ismael Villanueva-Miranda, Katherine Mortimer, Monika Akbar, Romelia Rodriguez Reyes, Cynthia Ontiveros, Scott Gray, Pedro Delgado, Victor Medrano, Melissa Anderson, Jacob Ramirez, Jesus Vazquez |
| 2023 | Introducing the Partial Clustering Problem. Byron J. Gao |
| 2023 | Investigating Data Reusability in Density Functional Theory Studies. Rob Fleur, Addy Ireland, Xintong Zhao, Scott McClellan, Eric Paltoo, Tianyu Su, Channyung Lee, Yuan An, Xiaohua Hu, Elif Ertekin, Jane Greenberg |
| 2023 | Investigating Initial Access Strategies and Malware Deployment Tactics Used by Iranian Advanced Persistent Threat Groups. Ryan Simons |
| 2023 | Investigating Large Language Models for Financial Causality Detection in Multilingual Setup. Neelesh K. Shukla, Raghu Katikeri, Msp Raja, Gowtham Sivam, Shlok Yadav, Amit Vaid, Shreenivas Prabhakararao |
| 2023 | Investigating Visual Analytics against Terrorist Financing in Dark Web Marketplaces. Kyriaki Miniadou, Eirini Kyriakou, Spyridon Tzagkarakis, Asterios Leonidis, Georgios Th. Papadopoulos, Constantine Stephanidis |
| 2023 | Investigating the Effectiveness of Deep Learning and CFA Interpolation Based Classifiers on Identifying AIGC. Michael Reidy, Henry Mallon, Jiebo Luo |
| 2023 | IoT Botnet-Traffic Classification Using Few-Shot Learning. Davide Di Monda, Giampaolo Bovenzi, Antonio Montieri, Valerio Persico, Antonio Pescapè |
| 2023 | IoT-Reg: A Comprehensive Knowledge Graph for Real-Time IoT Data Privacy Compliance. Kelvin Uzoma Echenim, Karuna Pande Joshi |
| 2023 | IoT-based Big Data Storage Systems Challenges. Manoj Muniswamaiah, Tilak Agerwala, Charles C. Tappert |
| 2023 | Is Active Learning Green? An Empirical Study. Shirin Salehi, Anke Schmeink |
| 2023 | Is one label all you need? Single positive multi-label training in medical image analysis. Helen Schneider, Priya Priya, David Biesner, Rebecca Kador, Yannik C. Layer, Maike Theis, Sebastian Nowak, Alois M. Sprinkart, Ulrike I. Attenberger, Rafet Sifa |
| 2023 | Iterative Deep Learning for Muon Scattering Tomography. Dymitr Ruta, Robert Ruta |
| 2023 | JPAVE: A Generation and Classification-based Model for Joint Product Attribute Prediction and Value Extraction. Zhongfen Deng, Hao Peng, Tao Zhang, Shuaiqi Liu, Wenting Zhao, Yibo Wang, Philip S. Yu |
| 2023 | KF K-means: A High Performance K-means Implementation using Kernel Fusion. Kaiming Ouyang, Vincent Tran, Jinyang Liu, Bryan M. Wong, Zizhong Chen |
| 2023 | Kirchhoff's Voltage Law at Neural Synapse From Electric Currents Based at Neurotransmiters. Huber Nieto-Chaupis |
| 2023 | Knowledge Graphs for Competency-Based Education. Andrea Linxen, Florian Endel, Simone Opel, Christian Beecks |
| 2023 | Knowledge Graphs in Spatial-Temporal Cluster Evolution Analysis. Ivens Portugal, Paulo S. C. Alencar, Donald D. Cowan |
| 2023 | Knowledge Graphs, Clinical Trials, Dataspace, and AI: Uniting for Progressive Healthcare Innovation. Mohan Timilsina, Saeed H. Alsamhi, Rafiqul Haque, Conor Judge, Edward Curry |
| 2023 | Knowledge Prompt for Whisper: An ASR Entity Correction Approach with Knowledge Base. Min Zhang, Xiaosong Qiao, Yanqing Zhao, Chang Su, Yinglu Li, Yuang Li, Ming Zhu, Mengyao Piao, Song Peng, Shimin Tao, Hao Yang, Yanfei Jiang |
| 2023 | Knowledge-Guided Machine Learning: A New Framework for Accelerating Scientific Discovery and Addressing Global Environmental Challenges. Vipin Kumar |
| 2023 | LLM-TAKE: Theme-Aware Keyword Extraction Using Large Language Models. Reza Yousefi Maragheh, Chenhao Fang, Charan Chand Irugu, Parth Parikh, Jason H. D. Cho, Jianpeng Xu, Saranyan Sukumar, Malay Patel, Evren Körpeoglu, Sushant Kumar, Kannan Achan |
| 2023 | LLMs with User-defined Prompts as Generic Data Operators for Reliable Data Processing. Luyi Ma, Nikhil Thakurdesai, Jiao Chen, Jianpeng Xu, Evren Körpeoglu, Sushant Kumar, Kannan Achan |
| 2023 | LM-DiskANN: Low Memory Footprint in Disk-Native Dynamic Graph-Based ANN Indexing. Yu Pan, Jianxin Sun, Hongfeng Yu |
| 2023 | Label Freedom: Stable Diffusion for Remote Sensing Image Semantic Segmentation Data Generation. Chenbo Zhao, Yoshiki Ogawa, Shenglong Chen, Zhehui Yang, Yoshihide Sekimoto |
| 2023 | Label Hierarchy Alignment for Improved Hierarchical Text Classification. Ashish Kumar, Durga Toshniwal |
| 2023 | Large Language Models in Education: Vision and Opportunities. Wensheng Gan, Zhenlian Qi, Jiayang Wu, Jerry Chun-Wei Lin |
| 2023 | Large Scale Multiplex Latent Graphs for Recommendation in Baidu. Jie Liu, Zhipeng Jin, Yi Yang, Wei Jia, Xuewu Jiao, Shuanglong Li, Lin Liu |
| 2023 | Large-scale User Preference Tracking via Asynchronous and Asymmetric Updating at Twitter. Ga Wu, Shivam Khare, Li Zhou, Yael Brumer, Jun-Ping Ng, Ruowei Wang |
| 2023 | Late Fusion-based Distributed Multimodal Learning. Flavio Giobergia, Elena Baralis |
| 2023 | Lazy Read: Asynchronous Execution of Synchronous File I/O. Ansgar Lößer, Florian Raskob, Björn Scheuermann |
| 2023 | Learning Cataract Severity Using the Contrast Sensetivity Scale: A Thick Data Approach. Jinan Fiaidhi, Sabah Mohammed |
| 2023 | Learning Explainable Multi-view Representations for Malware Authorship Attribution. Irsyad Adam, Alex Waagen, Dana Warmsley, Jiejun Xu |
| 2023 | Learning Pruned Structure and Weights Simultaneously from Scratch: an Attention based Approach. Qisheng He, Weisong Shi, Ming Dong |
| 2023 | Learning for Spatio-temporal and Relational Data. Kihyuk Nam, Taewhi Lee, Sung-Soo Kim, Insik Shin |
| 2023 | Learning the Dynamics of Concentration Fields in Vascular Stenosis with Deep Hidden Physics Models. Rebecca Kador, Helen Schneider, David Biesner, Babette Dellen, Rafet Sifa |
| 2023 | Learning to Generate Radiology Findings from Impressions Based on Large Language Model. Weilong Wu, Miao Li, Ji Wu, Ming Ni, Huishu Yuan |
| 2023 | Learning with Variational Objectives on Measures. Vivien Cabannes |
| 2023 | Let the 'Perfect Voice' Always Be There, Positive Affirmation and Negative Anxiety from Online Commentary. Yingzixuan Zhang, Kaixuan Niu, Zhian Zhao |
| 2023 | Leveraging Big Data from Smart Thermostats: A Vision to Evaluate Heatwave Impacts on Sleep Health in the Elderly [Vision Paper]. Jasleen Kaur, Vivek Chauhan, Arlene Oetomo, Kang Wang, Plinio P. Morita |
| 2023 | Leveraging Deep Learning to Improve COVID-19 Forecasting Using Wastewater Viral Load. Mehrdad Fazli, Heman Shakeri |
| 2023 | Leveraging Graph Databases for Enhanced Healthcare Data Management: A Performance Comparison Study. Sultan N. Turhan |
| 2023 | Leveraging Knowledge Graphs for Matching Heterogeneous Entities and Explanation. Sahar Ghassabi, Behshid Behkamal, Mostafa Milani |
| 2023 | Leveraging Large Language Models for Structure Learning in Prompted Weak Supervision. Jinyan Su, Peilin Yu, Jieyu Zhang, Stephen H. Bach |
| 2023 | Leveraging Probe Data and Machine Learning to Derive and Interpret Macroscopic Fundamental Diagrams Across U.S. Cities. Ling Jin, Xiaodan Xu, Yuhan Wang, Kaveh Farokhi Sadabadi, Alina Lazar, Duleep Rathgamage Don, Zachary Needell, C. Anna Spurlock, Mahyar Amirgholy, Mona Asudegi |
| 2023 | Leveraging Uncertainty Quantification for Reducing Data for Recommender Systems. Xi Niu, Ruhani Rahman, Xiangcheng Wu, Zhe Fu, Depeng Xu, Riyi Qiu |
| 2023 | Lightweight CNN based on Spatial Features for a Vehicular Damage Detection System. Dawid Polap, Antoni Jaszcz, Katarzyna Prokop, Gautam Srivastava |
| 2023 | LoRA-like Calibration for Multimodal Deception Detection using ATSFace Data. Shun-Wen Hsiao, Cheng-Yuan Sun |
| 2023 | Load Balancing Algorithms and Their Impacts on Apache Kafka. Hung-Chang Hsiao, Chia-Ping Tsai, Zheng-Xian Li, Chao-Heng Lee, Jia-Sheng Chen, Yu-Chen Lai, Jia-Chi Wang, Shao-Chi Li, Jhih-Cyuan Gao, Yi-Huan Lee |
| 2023 | Locating disparities in machine learning. Moritz von Zahn, Oliver Hinz, Stefan Feuerriegel |
| 2023 | LogGPT: Log Anomaly Detection via GPT. Xiao Han, Shuhan Yuan, Mohamed Trabelsi |
| 2023 | Long-term Time Series Forecasting based on Decomposition and Neural Ordinary Differential Equations. Seonkyu Lim, Jaehyeon Park, Seojin Kim, Hyowon Wi, Haksoo Lim, Jinsung Jeon, Jeongwhan Choi, Noseong Park |
| 2023 | Low-latency Visual Previews of Large Synchrotron Micro-CT Datasets. Nicholas Tan Jerome, Suren Chilingaryan, Thomas van de Kamp, Andreas Kopmann |
| 2023 | Lower Alertness entails More Cooperation: Evidence from Prisoner's Dilemma and Coordination Games. Toshio Kokubo, Nobuhito Kon, Morimitsu Kurino, Wakuo Saito, Natsumi Shimada, Masashi Yanagisawa |
| 2023 | M2-Mixer: A Multimodal Mixer with Multi-head Loss for Classification from Multimodal Data. Grigor Bezirganyan, Sana Sellami, Laure Berti-Équille, Sébastien Fournier |
| 2023 | MERMAID: A Dataset and Framework for Multimodal Meme Semantic Understanding. Shaun Toh, Adriel Kuek, Wen-Haw Chong, Roy Ka-Wei Lee |
| 2023 | MIAE: A Mobile Application Recommendation Method Based on a NTK Model. Jiahui Han, Qufei Zhang, Xiaoying Yang, Jinyi Wang |
| 2023 | MLOps in Data Science Projects: A Review. Christian Haertel, Daniel Staegemann, Christian Daase, Matthias Pohl, Abdulrahman Nahhas, Klaus Turowski |
| 2023 | MM-TrafficRisk: A Video-based Fleet Management Application for Traffic Risk Prediction, Prevention, and Querying. Minh-Son Dao, Muhamad Hilmil Muchtar Aditya Pradana, Koji Zettsu |
| 2023 | MPI4Spark Meets YARN: Enhancing MPI4Spark through YARN support for HPC. Kinan Al-Attar, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda |
| 2023 | Machine Learning-Based Security Alert Screening with Focal Loss. Samuel Ndichu, Tao Ban, Takeshi Takahashi, Daisuke Inoue |
| 2023 | Machine-Learning-Based Multidimensional Big Data Analytics over Clouds via Multi-Columnar Big OLAP Data Cube Compression. Alfredo Cuzzocrea, Abderraouf Hafsaoui, Carson K. Leung |
| 2023 | Market Size Estimation Model at the Product Level based on Text Mining Approach. Ye Lim Jung, Hyoung Sun Yoo, Ji Hui Kim |
| 2023 | Mask-cscGAN for realistic synthetic cell generation. Panagiotis Antoniadis, Christina Sartzetaki, Nick Antonopoulos, Pantelis Papageorgiou, Aigli Korfiati, Vassilis Pitsikalis |
| 2023 | Master-ASL: Sign Language Learning and Assessment System. Sanjusha Cheemakurthi, Min Chen |
| 2023 | Matching Noisy Keys for Obfuscation. Charlie Dickens, Eric Bax |
| 2023 | Mathematical Model Analysis of Photovoltaic-Induced Land Use Transition. Yumi Watahiki, Hiroyasu Ando, Isamu Takahara |
| 2023 | Maximum Flow on Highly Dynamic Graphs. Juntong Luo, Scott Sallinen, Matei Ripeanu |
| 2023 | Measuring Bias. Aida Sharif Rohani, Ricardo Baeza-Yates |
| 2023 | Measuring Data Transmissions from the Edge for Distributed Inferencing with gRPC. Scott E. Brown, David Harman, Cleon Anderson, Matthew Dwyer |
| 2023 | Method for creating privacy-preserving information using Probabilistic Latent Semantic Analysis. Yuki Sugawara, Eiichi Sakurai, Yoichi Motomura, Yukihiko Okada, Kai Tanabe, Akiko Tsukao, Shinya Kuno |
| 2023 | Methodology for food prices forecasting. Dimitar Peshevski, Ana Todorovska, Filip Trajkovikj, Nikola Hristov, Milena Trajanoska, Jovana Dobreva, Riste Stojanov, Dimitar Trajanov |
| 2023 | Meticulously Analyzing ESG Disclosure: A Data-Driven Approach. Tik Yu Yim, Yuxuan Zhang, Wenting Tan, Tak Wah Lam, Siu Ming Yiu |
| 2023 | Mining Large-Scale Knowledge Graphs for Chemical Reaction Fingerprints. Blake B. Gaines, Minghu Song, Jinbo Bi |
| 2023 | Mining Rare Utility Patterns within Target Items. Yixin Xu, Cuiwei Peng, Jiahui Chen, Wensheng Gan, Shicheng Wan |
| 2023 | Mitigating Annotation Artifacts in Physical Commonsense Reasoning Benchmark. Wing-Lam Mok, SungHo Kim |
| 2023 | Mitigating Concept Drift in Distributed Contexts with Dynamic Repository of Federated Models. Elena Tsiporkova, Michiel De Vis, Sarah Klein, Anna Hristoskova, Veselka Boeva |
| 2023 | Mitigating Confounding and Selection Biases in Personalized Recommendation: A Causal Approach. Wen Huang, Jingbo Zhou, Xintao Wu, Dejing Dou |
| 2023 | Mitigating Representation Bias in Data Transformations: A Constraint-based Optimization Approach. Barbara Catania, Giovanna Guerrini, Ziad Janpih |
| 2023 | MixPCD: a novel method of constructing driving cycle for electric bus with sparse data. Xingxing Wang, Peilin Ye, Yelin Deng, Yinnan Yuan, Yu Zhu, Hongjun Ni |
| 2023 | MobiSpaces: An Architecture for Energy-Efficient Data Spaces for Mobility Data. Christos Doulkeridis, Georgios M. Santipantakis, Nikolaos Koutroumanis, George Makridis, Vasilis Koukos, George S. Theodoropoulos, Yannis Theodoridis, Dimosthenis Kyriazis, Pavlos Kranas, Diego Burgos, Ricardo Jiménez-Peris, Mariana M. G. Duarte, Mahmoud Attia Sakr, Esteban Zimányi, Anita Graser, Clemens Heistracher, Kristian Torp, Ioannis Chrysakis, Theofanis Orphanoudakis, Evgenia Kapassa, Marios Touloupou, Jürgen Neises, Petros Petrou, Sophia Karagiorgou, Rosario Catelli, Domenico Messina, Marcelo Corrales Compagnucci, Matteo Falsetta |
| 2023 | Model-as-a-Service (MaaS): A Survey. Wensheng Gan, Shicheng Wan, Philip S. Yu |
| 2023 | Modular Deep Learning for Big Data: Motivation, Challenges, and Approaches. Samiyuru Menik, Lakshmish Ramaswamy |
| 2023 | More than Just a Diagnosis: A Multi-Task Approach to Analyzing Bipolar Disorder on Reddit via DeMHeM. Rocco Zhang, Shailik Sarkar, Abdulaziz Alhamadani, Chang-Tien Lu |
| 2023 | Multi-Instance Bias Suppression for Enhanced Generalization in Breast Cancer Diagnosis : Harnessing Histopathological Big Data Insights. Syed Attique Shah, Xiaoyang Zeng, Awais Ahmed, Shaheed Parvez, Rui Xi, Mengshu Hou |
| 2023 | Multi-Item Continuous Influence Maximization. Jianjun Luo, Ryan A. Rossi, Xiangnan Kong, Yanhua Li |
| 2023 | Multi-Source Selective Transfer Learning for Fake News Detection in New Event. Ke Li, Bin Guo, Siyuan Ren, Yasan Ding, Zhiwen Yu |
| 2023 | Multi-State Brain Network Discovery. Hang Yin, Yao Su, Xinyue Liu, Thomas Hartvigsen, Yanhua Li, Xiangnan Kong |
| 2023 | Multi-Task Learning Using Facial Features for Mental Health Screening. Ricardo Flores, Avantika Shrestha, M. L. Tlachac, Elke A. Rundensteiner |
| 2023 | Multi-View Graph Convolution for Participant Recommendation. Xiaolong Liu, Liangwei Yang, Chen Wang, Mingdai Yang, Zhiwei Liu, Philip S. Yu |
| 2023 | Multi-View Latent Diffusion. Giuseppe Di Giacomo, Giulio Franzese, Tania Cerquitelli, Carla-Fabiana Chiasserini, Pietro Michiardi |
| 2023 | Multi-label Co-training using a Graph neural network. Ragini Kihlman, Maria Fasli |
| 2023 | Multi-layer Caching and Parallel Streaming for Large Scale Cloud Optimized Point Cloud Data Visualization using WebGPU. Pravin Poudel, Will Usher, Steve Petruzza |
| 2023 | Multi-modal Medical Information based Data Mining for Expression and Characteristic Pattern Prediction of TP53 in Endometrial Carcinoma. Tianming Du, Chen Li, Tao Jiang, Jinzhu Yang, Marcin Grzegorzek, Hongzan Sun |
| 2023 | Multi-scale Heterogeneous Graph Contrastive Learning Mingyuan Li, Lei Meng, Zhonglin Ye, Haixing Zhao, Yuzhi Xiao, Shujuan Cao |
| 2023 | Multi-view Deep Markov Models for Time Series Anomaly Detection. Phuong Nguyen, Hiep Tran, Tuan M. V. Le |
| 2023 | Multilingual Hate Speech Detection: Comparison of Transfer Learning Methods to Classify German, Italian, and Spanish Posts. Jan Fillies, Michael Peter Hoffmann, Adrian Paschke |
| 2023 | Multiloss-Based Optimization for Time Series Data Augmentation. Omar Bahri, Peiyu Li, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi |
| 2023 | Multimodal Co-attention Transformer for Video-Based Personality Understanding. Mingwei Sun, Kunpeng Zhang |
| 2023 | Multimodal Large Language Models: A Survey. Jiayang Wu, Wensheng Gan, Zefeng Chen, Shicheng Wan, Philip S. Yu |
| 2023 | Multimodal One-class Learning for Malicious Online Content Detection. Roberto Corizzo, Nora Lewis, Lucas P. Damasceno, Allison Shafer, Charles C. Cavalcante, Zois Boukouvalas |
| 2023 | Music Generation using Human-In-The-Loop Reinforcement Learning. Aju Ani Justus |
| 2023 | Musical Elements Enhancement and Image Content Preservation Network for Image to Music Generation. Wenzhao Liu, Dechao Meng |
| 2023 | Mutually Exclusive Learning for Generators with Multi-Label Classifiers. Digya Acharya, Hera Siddiqui, Eduardo Pasiliao, Chaity Banerjee |
| 2023 | M²-CNN: A Macro-Micro Model for Taxi Demand Prediction. Shih-Fen Cheng, Prabod Rathnayaka |
| 2023 | NASEREX: Optimizing Early Exits via AutoML for Scalable Efficient Inference in Big Image Streams. Aakash Kapoor, Rajath Elias Soans, Soham Dixit, Pradeep NS, Brijraj Singh, Mayukh Das |
| 2023 | NCL-SM: A Fully Annotated Dataset of Images from Human Skeletal Muscle Biopsies. Atif Khan, Conor Lawless, Amy E. Vincent, Charlotte Warren, Valeria Di Leo, Tiago Gomes, A. Stephen McGough |
| 2023 | NNCR: Revising Classifications using Embedding Based K-Nearest-Neighbor Search. Yu-Hsuan Kuo, Saaransh Gulati, Xiaoyu Chu, Pulkit Garg |
| 2023 | NPRL: Nightly Profile Representation Learning for Early Sepsis Onset Prediction in ICU Trauma Patients. Tucker Stewart, Katherine Stern, Grant E. O'Keefe, Ankur Teredesai, Juhua Hu |
| 2023 | Natural Language Processing to Understand Human Activities Impacted by Hydroelectric Energy Projects. Keshava Pallavi Gone, Yan Chen, Michael Smit |
| 2023 | Navigating the Future Data-Driven Automation Tools: State-of-the-Art and Research Roadmap for Digital Twins of Energy Systems. Alì Aghazadeh Ardebili, Antonella Longo, Antonio Ficarella |
| 2023 | Near Neighbor Search for Constraint Queries. Gaurav Gupta, Anup B. Rao, Tung Mai, Ryan A. Rossi, Xiang Chen, Saayan Mitra, Anshumali Shrivastava |
| 2023 | NetSat: Network Saturation Adversarial Attack. Katarzyna Filus, Joanna Domanska |
| 2023 | NeuEmot: Mitigating Neutral Label and Reclassifying False Neutrals in the 2022 FIFA World Cup via Low-Level Emotion. Ademola Adesokan, Sanjay Madria |
| 2023 | Neural Crystals. Sofia Karamintziou, Thanassis Mavropoulos, Dimos Ntioudis, Georgios Meditskos, Stefanos Vrochidis, Ioannis Kompatsiaris |
| 2023 | Neural Networks Voting for Projection Based Ensemble Classifiers. Panagiotis Anagnostou, Petros Barmpas, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos |
| 2023 | Neurosymbolic Knowledge Distillation. Himel Das Gupta, Victor S. Sheng |
| 2023 | New Finger Photo Databases with Presentation Attacks and Demographics. Anudeep Vurity, Emanuela Marasco |
| 2023 | Non-uniform Sampling Methods for Large Itemset Mining. Zahra Moteshaker Arani, Mostafa Haghir Chehreghani, Morteza Haghir Chehreghani |
| 2023 | Novel NBA Fantasy League driven by Engineered Team Chemistry and Scaled Position Statistics. Ganesh Arkanath, Nishad Gupta, Hasan Kurban, Parichit Sharma, K. R. Madhavan, Elham Khorasani Buxton, Mehmet M. Dalkilic |
| 2023 | ODTT: Optimized Dynamic Taxonomy Tree with Differential Privacy. Yijie Gui, Qizhi Chen, Wensheng Gan, Yongdong Wu |
| 2023 | OLR-WA: Online Weighted Average Linear Regression in Multivariate Data Streams. Mohammad Abu-Shaira, Alejandro Rodriguez, Greg Speegle, Victor S. Sheng, Ishfaq Ahmad |
| 2023 | Ocean Data Quality Assessment through Outlier Detection-enhanced Active Learning. Na Li, Yiyang Qi, Ruyue Xin, Zhiming Zhao |
| 2023 | On Chatbots for Visual Exploratory Data Analysis. Brodrick Stigall, Ryan A. Rossi, Jane Hoffswell, Xiang Chen, Shunan Guo, Fan Du, Eunyee Koh, Kelly Caine |
| 2023 | On Overcoming HPC Challenges of Trillion-Scale Real-World Graph Datasets. Mohsen Koohi Esfahani, Paolo Boldi, Hans Vandierendonck, Peter Kilpatrick, Sebastiano Vigna |
| 2023 | On mission Twitter Profiles: A Study of Selective Toxic Behavior. Hina Qayyum, Muhammad Ikram, Benjamin Zi Hao Zhao, Ian D. Wood, Nicolas Kourtellis, Mohamed Ali Kâafar |
| 2023 | On the pursuit of Graph Embedding Strategies for Individual Mobility Networks. Omid Isfahani Alamdari, Mirco Nanni, Agnese Bonavita |
| 2023 | On the usage of Benford's Law on coronavirus data statistics. Sena Atakan, Günce Keziban Orman |
| 2023 | On-Street Parking Prediction: A Comparative Study. Stefano Fiorini, Michele Ciavotta, Carlo Liberto, Gaetano Valenti |
| 2023 | One to Rule them All: A Study on Requirement Management Tools for the Development of Modern AI-based Software. Abdul-Rasheed Ottun, Mehrdad Asadi, Michell Boerger, Nikolay Tcholtchev, João Gonçalves, Dusan Borovcanin, Bartlomiej Siniarsk, Huber Flores |
| 2023 | One-GPT: A One-Class Deep Fusion Model for Machine-Generated Text Detection. Roberto Corizzo, Sebastian Leal-Arenas |
| 2023 | Online Adaptive Mahalanobis Distance Estimation. Lianke Qin, Aravind Reddy, Zhao Song |
| 2023 | Online Closed Episode Mining with Root-Order Decomposition. Hinano Sako, Yoshitaka Yamamoto |
| 2023 | Online Forecasting Based Anomaly Detection For Monitoring Large Scale Streaming Data. Wei Zhang, David Arbour |
| 2023 | Online Hierarchical Multi-label Classification. Wenting Qi, Charalampos Chelmis |
| 2023 | Ontology-Based Generation of Data Platform Assets. Vincenzo De Leo, Gianni Fenu, David Greco, Nicolo Bidotti, Paolo Platter, Enrico Motta, Andrea Giovanni Nuzzolese, Francesco Osborne, Diego Reforgiato Recupero |
| 2023 | Optimal Repair Algorithm of Single-Disk Failure for Array Codes with Local Properties. Chuang Luo, Hanxu Hou, Peng Zhang, Hui Li |
| 2023 | Optimal sampling for Moving Object Trajectory Tracking in Smart Transportation Systems: A Transformer-based Approach. Usman Shuaibu Musa, Yifan Guo, Cheng Qian, Wei Yu |
| 2023 | Optimization of Dangerous Goods Stowage: A Hybrid Approach between Faster R-CNN and Coronavirus Metaheuristic. Chaabane Abdelali, Yachba Khadidja, Ladjel Bellatreche |
| 2023 | Optimization of Public Bus Route in a Smart City Utilizing Real-time Human Location Data Analysis. Ryosuke Kobayashi, Nobuo Shigeta, Nobuyuki Saji, Rie Shigetomi Yamaguchi |
| 2023 | Optimized Model of Ledger Database Management to handle Vehicle Registration. Neha Gaonkar, Parnia Samimi, Jagdev Bhogal, Luke Porter, Rob Squire |
| 2023 | OrthoNets: Orthogonal Channel Attention Networks. Hadi Salman, Caleb Parks, Matthew Swan, John Gauch |
| 2023 | PGAN-KD:Member Privacy Protection of GANs Based on Knowledge Distillation. Tianhan Zhang, Juan Yu, Jianmin Han, Hao Peng, Sheng Qiu |
| 2023 | PSNR-Aware Quantization for DCT-based Lossy Compression. Jiaxi Chen, Seung Woo Son |
| 2023 | PSQS: Parallel Semantic Querying Service for Self-describing File Formats. Chenxu Niu, Wei Zhang, Suren Byna, Yong Chen |
| 2023 | Pandemic Culture Wars: Partisan Differences in the Moral Language of COVID-19 Discussions. Ashwin Rao, Siyi Guo, Sze-Yuh Nina Wang, Fred Morstatter, Kristina Lerman |
| 2023 | Pangolin: Incast Avoidance in Large Datacenter Networks. Sae Hyong Park, Namseok Ko |
| 2023 | Performance Evaluation of Data Imputation Methods for Graph Deep Learning-Based Traffic Prediction. Jeongseon Kim, Sungsoo Kim, Sungsu Lim |
| 2023 | Performance evaluation of 3D point cloud matching with short-range dense 2D rang. Ju Wang, Ahmed F. Mohammed, Grant Patterson |
| 2023 | Performance of Null Handling in Array Databases. Dimitar Misev, Mikhail Rodionychev, Peter Baumann |
| 2023 | PersonaSAGE: A Multi-Persona Graph Neural Network. Gautam Choudhary, Iftikhar Ahamath Burhanuddin, Eunyee Koh, Fan Du, Ryan A. Rossi |
| 2023 | Physical Database Design for Manufacturing Business Analytics. Norifumi Nishikawa, Shinji Fujiwara, Yuto Hayamizu, Kazuo Goda |
| 2023 | Physics Fundamentals of an Internet of Nanomedicine Things. Huber Nieto-Chaupis |
| 2023 | PieRank: Embedded Large-Scale Sparse Matrix Processing. Michelle S. Zhou |
| 2023 | Pineapple Quality Classification in a Multimodal Audio-Visual Dataset. Yi-Lu Jiang, Wen-Chang Chang, Chih-Yi Chiu |
| 2023 | Port Arrival Reservation System Using Auctions for Fuel Consumption Reduction. Rintaro Rai, Takuya Nakashima, Nariaki Nishino |
| 2023 | Precise Temperature Control for Sensitive Medicines. Mehmet Kerim Peker, Ahmet Teoman Naskali, Sanem Kiliçaslan, Nuri Özbey |
| 2023 | Precision Grazing: when Agriculture, Livestock and Technology unite. Oscar Tamburis, Mario Magliulo, Adriano Tramontano, Giulio Perillo, Arriel Benis, Serena Calabrò |
| 2023 | Predicting AGV Battery Cell Voltage Using a Neural Network Approach with Preliminary Data Analysis and Processing. Olena Pavliuk, Mykola O. Medykovskyy, Tomasz Steclik |
| 2023 | Predicting Dynamic Memory Requirements for Scientific Workflow Tasks. Jonathan Bader, Nils Diedrich, Lauritz Thamsen, Odej Kao |
| 2023 | Predicting Impression Evaluation of Building Exterior Appearance Using Street Image Big Data and Deep Learning. Yusuke Imadegawa, Takuya OKi, Yoshiki Ogawa, Chenbo Zhao |
| 2023 | Predicting Linguistically Sophisticated Social Determinants of Health Disparities with Neural Networks: The Case of LGBTQ+ Minority Stress. Cory J. Cascalheira, Santosh Chapagain, Ryan E. Flinn, Yuxuan Zhao, Soukaina Filali Boubrahimi, Dannie Klooster, Alejandra Gonzalez, Emily M. Lund, Danica Laprade, Jillian R. Scheer, Shah Muhammad Hamdi |
| 2023 | Predicting Mental Health Disorders Post Long COVID Diagnosis Using Advanced Machine Learning Techniques. Manoj Purohit, Praveen Madiraju |
| 2023 | Predicting PD-L1 status of esophageal cancer from H&E images based on FusedNet model. Minghe Gao, Chen Li, Jingyu Zhang, Haoyuan Chen, Weiming Hu, Hechen Yang, Liyu Shi, Yujie Jing, Shuaiyi Tian, Hongzan Sun, Marcin Grzegorzek, Xiaoyan Li |
| 2023 | Predicting Patent Transfer in the Manufacturing Industry: A Machine Learning Model for Patent Analytics Using BERT. Hyeonmin Park, Jeongho Kim, Eunbi Cho, Joo Hee Oh |
| 2023 | Predicting Potential School Shooters from Social Media Posts. Alana Cedeno, Rachel Liang, Sheikh Rabiul Islam |
| 2023 | Predictive Analytics in IoT and CPS: Enhancing Industrial Machinery Reliability through Sensor Data-Driven Remaining Useful Life Estimation. Emrullah Gultekin, Mehmet S. Aktas |
| 2023 | Predictive Modeling of Run Time for Model and Data Distributed Inferencing Using Gradient Boosting Regression. Scott E. Brown, David Harman, Cleon Anderson, Matthew Dwyer |
| 2023 | Predictive Precision: LSTM-Based Analytics for Real-time Stock Market Visualization. Vijayalakshmi Saravanan, Acharya Pramod, Laxman Poudel, Praveen Paramasivam |
| 2023 | Pricing Used Vehicles at Volkswagen Financial Services AG. Shayan Jawed, Jan Stening, Lars Schmidt-Thieme |
| 2023 | Privacy-Preserving Data Sharing in Agriculture: Enforcing Policy Rules for Secure and Confidential Data Synthesis. Anantaa Kotal, Lavanya Elluri, Deepti Gupta, Varun Mandalapu, Anupam Joshi |
| 2023 | Privacy-preserving Approximate Query Processing with Differentially Private Generative Models. Jiwon Ock, Taewhi Lee, Seongmin Kim |
| 2023 | Private Continuous Survival Analysis with Distributed Multi-Site Data. Luca Bonomi, Marilyn Lionts, Liyue Fan |
| 2023 | Proactive Resource Management to Optimize Distributed Workflow Executions. Joel Witzke, Florian Schintke, Ansgar Lößer, Björn Scheuermann |
| 2023 | Process mining approach for Multi-Cloud SLA Reporting. Jeremy Mechouche, Mohamed Sellami, Zakaria Maamar, Roua Touihri, Walid Gaaloul |
| 2023 | Prompting Large Language Models for Topic Modeling. Han Wang, Nirmalendu Prakash, Nguyen-Khoi Hoang, Ming Shan Hee, Usman Naseem, Roy Ka-Wei Lee |
| 2023 | Proposal of an AI based approach for Urban Traffic Prediction from Mobility Data. Mariaelena Berlotti, Sarah Di Grande, Salvatore Cavalieri, Vincenza Torrisi, Giuseppe Inturri |
| 2023 | Protecting Multiple Sensitive Attributes in Synthetic Micro-data. Nina Niederhametner, Rudolf Mayer |
| 2023 | Proximal Policy Optimization based computations offloading for delay optimization in UAV-assisted mobile edge computing. Praveen Kumar, Priyadarshni, Shivani Tripathi, Rajiv Misra |
| 2023 | Proximity Network for Visualizing Infection Risks of Pedestrian Behavior at Large-Scale Events. Sayaka Morikoshi, Ryo Niwa, Shunki Takami, Masaki Onishi, Takayuki Itoh |
| 2023 | Pruning Federated Learning Models for Anomaly Detection in Resource-Constrained Environments. Simone Magnani, Stefano Braghin, Ambrish Rawat, Roberto Doriguzzi Corin, Mark Purcell, Domenico Siracusa |
| 2023 | Qobra: Fast Verification of Transactional Serializability with Quantum Annealing. Natsuki Hamada, Kazuhiro Saito, Hideyuki Kawashima |
| 2023 | Quality Ranking for Synthetically Generated Images. Ali Sekmen, Bahadir Bilgin, Guy Sereff |
| 2023 | Quantitatively Evaluating the Validity of Contrastive Generators for Recourse. Ian Howell, Eleanor Quint, Hongfeng Yu |
| 2023 | Quantum Cryptography for Enhanced Network Security: A Comprehensive Survey of Research, Developments, and Future Directions. Mst. Shapna Akter, Juanjose Rodriguez-Cardenas, Hossain Shahriar, Alfredo Cuzzocrea, Fan Wu |
| 2023 | RAxC: Reflexivity-based Approximate Computing techniques for efficient remote sensing. Aaditi Kapre, Shruti Kunde, Sparsh Mittal, Rekha Singhal |
| 2023 | RNBFT: Leveraging Randomness to Achieve Scalable Byzantine Consensus. Parth Anand Shukla, Saeed Samet |
| 2023 | RSP-gcForest: A Distributed Deep Forest via Random Sample Partition. Mark Junjie Li, Wenzhu Cai, Yigang Lin, Sunjie Huang, Joshua Zhexue Huang, Patrick Xiaogang Peng |
| 2023 | Randomized Response Has No Disparate Impact on Model Accuracy. Alycia N. Carey, Karuna Bhaila, Xintao Wu |
| 2023 | Ready for the Big Game: How FanDuel Boosts Conversions and Revenue at Scale with a Real-Time Recommender System for Daily Fantasy Sports. Varun Chugh, William Kretz, Steven Rosa, Brooks Beckelman, Hao Tong, Dejan Mitkovski |
| 2023 | Real-Time Camera-to-Lidar Calibration for Autonomous Robotic Systems at the Edge. Ju Wang, Venkat R. Dasari, Billy E. Geerhart, Brian Rapp, Peng Wang |
| 2023 | Real-Time Heart Rate Monitoring via Wi-Fi Signal. Hasan Ali Solgun, Alp Ozcan, Ozgun Pinarer |
| 2023 | Recent Artificial Intelligence Advances in Detection and Diagnosis of Sickle Cell Disease: A review. Abdourahmane Balde, Avewe Bassene, Lamine Faty, Mamadou Soumboundou, Ousmane Sall, Youssou Faye |
| 2023 | Recommendation fairness and where to find it: An empirical study on fairness of user recommender systems. Antonela Tommasel, Ira Assent |
| 2023 | Recurrent Traffic Demand Generation using Urban Traffic Simulation with Cell-based Behavior Model and Real Traffic Data. Hyewon Song, Moonyoung Chung |
| 2023 | Reed-Solomon Codes Over Ring with Lower Computational Complexity. Shicheng Tan, Hanxu Hou, Leilei Yu |
| 2023 | Refactoring ETL Flows in The Wild. Dolev Adas, Ohad Eytan, Guy Khazma, Josep Sampé, Paula Ta-Shma |
| 2023 | Reliability Analysis of M2M Cyclic Data Transfer based on ad-hoc Wireless P2P Link. Piotr Gaj, Ireneusz Smolka, Jacek Stój |
| 2023 | Religion and Spirituality on Social Media in the Aftermath of the Global Pandemic. Olanrewaju Tahir Aduragba, Jialin Yu, Alexandra I. Cristea |
| 2023 | Resale-proof Trades of Data under Budget Constraints: A Subject Experiment. Kazuhito Ogawa, Naoki Watanabe |
| 2023 | Revisiting Stylized Facts for Modern Stock Markets. Ethan Ratliff-Crain, Colin Michael Van Oort, James P. Bagrow, Matthew T. K. Koehler, Brian F. Tivnan |
| 2023 | RoadFormer: Road-Anchored Adversarial Dynamic Graph Transformer for Unlimited-Range Traffic Incident Impact Prediction. Yanshen Sun, Kaiqun Fu, Chang-Tien Lu |
| 2023 | Robust Fraud Detection via Supervised Contrastive Learning. M. S. Vinay, Shuhan Yuan, Xintao Wu |
| 2023 | Robust category recognition based on deep templates for educational mobile applications. Marzena Halama, Katarzyna Filus, Joanna Domanska |
| 2023 | Roughness Index for Loss Landscapes of Neural Network Models of Partial Differential Equations Keke Wu, Xiangru Jian, Rui Du, Jingrun Chen, Xiang Zhou |
| 2023 | SASTDGCN: Self-Attention Based Spatial-Temporal Double Graph Convolutional Networks for Traffic Flow Forecasting. Jingjia Wan, Yu Wu |
| 2023 | SBTREC - A Transformer Framework for Personalized Tour Recommendation Problem with Sentiment Analysis. Ngai Lam Ho, Roy Ka-Wei Lee, Kwan Hui Lim |
| 2023 | SEED: An Effective Model for Highly-Skewed Streamflow Time Series Data Forecasting. Yanhong Li, Jack Xu, David C. Anastasiu |
| 2023 | SRNI-CAR: A Comprehensive Dataset for Analyzing the Chinese Automotive Market. Ruixin Ding, Bowei Chen, James M. Wilson, Zhi Yan, Yufei Huang |
| 2023 | SST: Semantic and Structural Transformers for Hierarchy-aware Language Models in E-commerce. Karan Samel, Houyu Zhang, Jun Ma, Haoming Jiang, Qing Ping, Sheng Wang, Yi Xu, Belinda Zeng, Trishul Chilimbi |
| 2023 | STROOBnet Optimization via GPU-Accelerated Proximal Recurrence Strategies. Ted Edward Holmberg, Mahdi Abdelguerfi, Elias Ioup |
| 2023 | Safe data transmission in IoT system for air pollution monitoring. Janusz Bobulski, Sabina Szymoniak, Kamila Pasternak |
| 2023 | Sailfish: A Dependency-Aware and Resource Efficient Scheduling for Low Latency in Clouds. Jinwei Liu, Yingjie Lao, Ying Mao, Rajkumar Buyya |
| 2023 | Scalable Homology Classification through Decomposed Euler Characteristic Curves. Nicholas O. Malott, Philip A. Wilsey |
| 2023 | Scalable Volume Visualization for Big Scientific Data Modeled by Functional Approximation. Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka |
| 2023 | Scaling Personalized Machine Learning through DTW Clustering: Predicting Glycemia Levels as an Example. Abdelmounaam Rezgui |
| 2023 | Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks. Jinyang Liu, Sheng Di, Sian Jin, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello |
| 2023 | Seasonal-Trend Time Series Decomposition on Graphics Processing Units. Dmitry Serykh, Stefan Oehmcke, Cosmin E. Oancea, Dainius Masiliunas, Jan Verbesselt, Yan Cheng, Stéphanie Horion, Fabian Gieseke, Nikolaj Hinnerskov |
| 2023 | Secure and Energy Efficient Filtered Over-the-Air Internet of Things Setup in a Wireless Mesh Network for Firmware Freshness. Lorenzo Carnevale, Annamaria Ficara, Alessio Catalfamo, Antonino Galletta, Maria Fazio, Massimo Villari |
| 2023 | Self-Supervision for Tackling Unsupervised Anomaly Detection: Pitfalls and Opportunities. Leman Akoglu, Jaemin Yoo |
| 2023 | Self-configured Entity Resolution with pyJedAI. Vasilis Efthymiou, Ekaterini Ioannou, Manos Karvounis, Manolis Koubarakis, Jakub Maciejewski, Konstantinos Nikoletos, George Papadakis, Dimitrios Skoutas, Yannis Velegrakis, Alexandros Zeakis |
| 2023 | Self-supervised Federated Learning for Anomaly Detection. Tze-Qian Eng, Hsing-Kuo Pao, Chi-Chen Liao |
| 2023 | Self-supervised visual learning for analyzing firearms trafficking activities on the Web. Sotirios Konstantakos, Despina Ioanna Chalkiadaki, Ioannis Mademlis, Adamantia Anna Rebolledo Chrysochoou, Georgios Th. Papadopoulos |
| 2023 | Semantic Prompt Based Multi-Scale Transformer for Few-Shot Classification. Hongwu Liu, Shouhong Wan, Peiquan Jin, Xin Wang |
| 2023 | Semi-supervised 3D Video Information Retrieval with Deep Neural Network and Bi-directional Dynamic-time Warping Algorithm. Yintai Ma, Diego Klabjan |
| 2023 | Sensorless Monitoring of Shipping Containers. Misaki Mito, Chi Heem Wong, Arnab Chakrabarti |
| 2023 | Sketching Multidimensional Time Series for Fast Discord Mining. Chin-Chia Michael Yeh, Yan Zheng, Menghai Pan, Huiyuan Chen, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang, Jeff M. Phillips, Eamonn J. Keogh |
| 2023 | SmartDT: An Effective Vulnerability Detection System of Smart Contracts Based on Deep Learning. Xiaozhou You, Hui Li, Han Wang, Faisal Mehmood |
| 2023 | Snake in the Labyrinth: Scenes from the Machine's Deep Q-Learning Experience. Jeffrey M. Morris |
| 2023 | Social Event Detection with Reinforced Deep Heterogeneous Graph Attention Network. Yongsheng Yu, Jia Wu, Jian Yang |
| 2023 | Solving Tensor Low Cycle Rank Approximation. Yichuan Deng, Yeqi Gao, Zhao Song |
| 2023 | Sorting the Digital Stream: Big Data-driven Insights into Email Classification for Spam and Ham Detection. Syed Attique Shah, Emil Anthony Arputham, Awais Ahmed, Mohamed Ben Farah, Attal Shah, Abdul Aziz |
| 2023 | Spatial-Temporal Dynamic Graph Diffusion Convolutional Network for Traffic Flow Forecasting. Yang Li, Yaying Zhang |
| 2023 | Spatial-Temporal Flow Holistic Interaction Graph Convolution Network for Bidirectional Traffic Flow Forecasting. Canyang Zhang, Qi Zheng, Yaying Zhang |
| 2023 | Specimen Outlining: A Computational Archival Science Approach. David E. Breen, Andrew Senin, Ajani Levere, Joel Pepper, Jane Greenberg |
| 2023 | Speech-Based Detection of In-Car Escalating Arguments to Prevent Distracted Driving. Francesco Pistolesi, Michele Baldassini, Beatrice Lazzerini |
| 2023 | Speeding Up Unsupervised Learning Through Early Stopping. Andris Docaj, Yu Zhuang |
| 2023 | Spider4SPARQL: A Complex Benchmark for Evaluating Knowledge Graph Question Answering Systems. Catherine Kosten, Philippe Cudré-Mauroux, Kurt Stockinger |
| 2023 | Stabilizing Adversarial Training for Generative Networks. Walter Gerych, Kevin Hickey, Thomas Hartvigsen, Luke Buquicchio, Abdulaziz Alajaji, Kavin Chandrasekaran, Hamid Mansoor, Emmanuel Agu, Elke A. Rundensteiner |
| 2023 | Stock Movement and Volatility Prediction from Tweets, Macroeconomic Factors and Historical Prices. Shengkun Wang, Yangxiao Bai, Taoran Ji, Kaiqun Fu, Linhan Wang, Chang-Tien Lu |
| 2023 | Striking a Balance in Fairness for Dynamic Systems Through Reinforcement Learning. Yaowei Hu, Jacob Lear, Lu Zhang |
| 2023 | Student success analysis for minority students in higher education. Shamiha Binta Manir, Priya Deshpande |
| 2023 | Subspace Interpolation and Indexing on Stiefel and Grassmann Manifolds as a Lightweight Inference Engine. Wenqing Hu, Tiefeng Jiang, Birendra Kathariya, Vikram Abrol, Jiali Zhang, Zhu Li |
| 2023 | Summarizing Financial Reports with Positional Language Model. Natalia Vanetik, Elizaveta Podkaminer, Marina Litvak |
| 2023 | SuperBlocking: An Efficient Blocking Technique for Record Linkage. Joyanta Basak, Sartaj Sahni, Sanguthevar Rajasekaran |
| 2023 | Supply-Demand Analysis of Urban Amenities Based on Walking Accessibility. Kaloyan Karamitov, Dessislava Petrova-Antonova, Emil Popov Hristov, Milena Borukova |
| 2023 | Supporting Practical URI Mappings in Virtual Knowledge Graph-based Relational Data Integration. Shogo Sato, Tadashi Masuda, Toshiyuki Amagasa |
| 2023 | Synergizing Measurement Science and Artificial Intelligence in Smart Agriculture. Francesco Lamonaca, Domenico Luca Carnì |
| 2023 | TRANSGNN: Towards Knowledge Enhanced Top-K Recommendation via Transformed Heterogeneous Graph Neural Network. Shen Wang, Ziwei Fan, Jibing Gong, Xiaokai Wei, Philip S. Yu |
| 2023 | TRANSQLATION: TRANsformer-based SQL RecommendATION. Shirin Tahmasebi, Amir Hossein Payberah, Ahmet Soylu, Dumitru Roman, Mihhail Matskin |
| 2023 | Tabular Data to Image Generation: Benchmark Data, Approaches, and Evaluation. Alex Tang, Gromit Chan, Ryan A. Rossi, Chang Xiao, Eunyee Koh |
| 2023 | Targeted Ads Analysis: What are The most Targeted Personas? Hiroaki Kikuchi, Ayaka Aoyama |
| 2023 | Targeted Querying of Closed High-Utility Itemsets. Shan Huang, Wensheng Gan, Jinbao Miao |
| 2023 | Task Unloading Algorithm for Mobile Edge Computing based on graph neural network. Yuze Zhang, Geming Xia, Hongcheng Li, Hongfeng Li, Song Hui |
| 2023 | Temporal Aspects of Cyber Threat Intelligence. Angel Kodituwakku, Clark Xu, Daniel Rogers, David K. Ahn, Errin W. Fulp |
| 2023 | Temporal Knowledge Graph Question Answering Models Enhanced with GAT. Wenjuan Jiang, Yi Guo, Jiaojiao Fu |
| 2023 | Temporal Treasure Hunt: Content-based Time Series Retrieval System for Discovering Insights. Chin-Chia Michael Yeh, Huiyuan Chen, Xin Dai, Yan Zheng, Yujie Fan, Vivian Lai, Junpeng Wang, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang |
| 2023 | Tensor Space Model-based Textual Data Augmentation for Text Classification. Minsuk Chang, Han-joon Kim |
| 2023 | TensorBank: Tensor Lakehouse for Foundation Model Training. Romeo Kienzler, Johannes Schmude, Naomi Simumba, Benedikt Blumenstiel, Marcus Freitag, Daiki Kimura, Zoltan Arnold Nagy, Michael Behrendt, Hendrik F. Hamann, S. Karthik Mukkavilli, Daniel Salles Civitarese |
| 2023 | Testing Quality of Service of communication system for AGV fleet with Software-Defined Network. Karol Marszalek, Adam Domanski, Rafal Cupek, Marek Drewniak |
| 2023 | Text mining using clinical terms in electronic records of annual falls of patients in home community care. Dillon Chrimes, Emile Keruzore |
| 2023 | The Application of Long Short-Term Memory and Transformers for Music Generation. B. Shanmukh Krishna, Satya Sai Roopa Sree Chiluvuri, Sai Sri Harshini Kosuri, Sai Sree Harsha Chimbili |
| 2023 | The Calibration of Single Beam Distance Sensors based on Machine Learning Methods. Piotr Biernacki, Adam Ziebinski, Jia-Hao Syu, Jerry Chun-Wei Lin |
| 2023 | The Data Systems Grammar: Self-designing Systems for the era of AI. Stratos Idreos |
| 2023 | The Effect of Tweets on the Traded Volume of Crypto-Coins. Aakhya Singh, Chirag Bhatia, Sohom Ghosh |
| 2023 | The Financial Document Causality Detection Shared Task (FinCausal 2023). Antonio Moreno-Sandoval, Jordi Porta-Zamorano, Blanca Carbajo-Coronado, Doaa Samy, Dominique Mariko, Mahmoud El-Haj |
| 2023 | The Financial Narrative Summarisation Shared Task (FNS 2023). Elias Zavitsanos, Aris Kosmopoulos, George Giannakopoulos, Marina Litvak, Blanca Carbajo-Coronado, Antonio Moreno-Sandoval, Mo El-Haj |
| 2023 | The Forecastability of Underlying Building Electricity Demand from Time Series Data. Mohamad Khalil, A. Stephen McGough, Hussain Kazmi, Sara Walker |
| 2023 | The Nexus Between Big Data Analytics and the Proliferation of Fake News as a Precursor to Online and Offline Criminal Activities. Spyridon Evangelatos, Thanasis Papadakis, Nikolaos Gousetis, Christos D. Nikolopoulos, Petrina Troulitaki, Nikos Dimakopoulos, George Bravos, Michael V. Lo Giudice, Ali Shadma Yazdi, Alberto Aziani |
| 2023 | The Performance of Machine and Deep Learning Algorithms in Detecting Fake Reviews. Bharkavi Sachithanandam, Akbar Siami Namin, Faranak Abri |
| 2023 | The Utility of Standards and Good Practice Guidelines for Records Professionals: comparing apples, oranges, and other fruits. Shadrack Katuu |
| 2023 | Theory meets practice approach for Event Correlations. Sai Charan Emmadi, Parag Agrawal, Satya Samudrala, Vikrant Shimpi, Maitreya Natu |
| 2023 | Things, objects, subjects and stuff: IoMuSt and ubimus perspectives on AI. Marcello Messina, Luzilei Aliel |
| 2023 | Thoughts on Edge Sensing and Processing. Joseph Michael Barton |
| 2023 | Threat Hunting in Internet of Things Networks with Bio-Inspired Models. Jia Mei Grace Lim, Olakunle Olayinka |
| 2023 | Time Series Synthesis Using the Matrix Profile for Anonymization. Audrey Der, Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Huiyuan Chen, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh |
| 2023 | Time Series Transformer for Long Term Rainfall Forecasting Towards Water Distribution Management in Smart Cities. Aswini Ghosh |
| 2023 | Time and Space Complexity of Deterministic and Nondeterministic Decision Trees: Local Approach. Kerven Durdymyradov, Mikhail Moshkov |
| 2023 | Time-varying QoS Estimation via Non-negative Latent Factorization of Tensors with Extended Linear Biases. Xiuqin Xu, Mingwei Lin, Wenqiang Li, Jianpeng Zhang, Hao Wu |
| 2023 | Tissue-Specific Color Encoding and GAN Synthesis for Enhanced Medical Image Generation. Yu Shi, Hannah Tang, Jianxin Sun, Xinyan Xie, Huijing Du, Dandan Zheng, Chi Zhang, Hongfeng Yu |
| 2023 | Topic-Based Search: Dataset Search without Metadata and Users' Knowledge about Data. Yukihisa Fujita, Teruaki Hayashi, Masahiro Kuwahara |
| 2023 | Topic-Sentiment Analysis of Central Bank Press Conferences: BOJ Case Study. Kazuhiro Seki, Masahiko Shibamoto, Takashi Kamihigashi |
| 2023 | Toward Efficient and Incremental Spectral Clustering via Parametric Spectral Clustering. Jo-Chun Chen, Hung-Hsuan Chen |
| 2023 | Toward Open and Sustainable Data Platform for Accessible Pedestrian Network. Masahiro Bessho, Tomomori Usaka, Ken Sakamura |
| 2023 | Toward Parallelization Technique for Stream-based Lossless Data Compression. Taiki Kato, Shinichi Yamagiwa, Koichi Wada |
| 2023 | Toward a Novel Methodology in Economic Experiments: Simulation of the Ultimatum Game with Large Language Models. Ayato Kitadai, Yudai Tsurusaki, Yusuke Fukasawa, Nariaki Nishino |
| 2023 | Toward training NLP models to take into account privacy leakages. Gaspard Berthelier, Antoine Boutet, Antoine Richard |
| 2023 | Towards Automated Clustering. Georg Stefan Schlake, Christian Beecks |
| 2023 | Towards Automated Regulatory Compliance Verification in Financial Auditing with Large Language Models. Armin Berger, Lars Hillebrand, David Leonhard, Tobias Deußer, Thiago Bell Felix de Oliveira, Tim Dilmaghani Khameneh, Mohamed Khaled, Bernd Kliem, Rüdiger Loitz, Christian Bauckhage, Rafet Sifa |
| 2023 | Towards Bi-Level Out-of-Distribution Logical Reasoning on Knowledge Graphs. Fatimah Alotaibi, Dawei Zhou |
| 2023 | Towards Big Data Analytics over Mobile User Data using Machine Learning. Sabrina Ichou, Slimane Hammoudi, Alfredo Cuzzocrea, Abdelkrim Meziane, Amel Benna |
| 2023 | Towards Large Language Model Organization: A Case Study on Abstractive Summarization. Krisztián Boros, Masafumi Oyamada |
| 2023 | Towards Open World Event Processing: A Paradigm and Research Agenda for Event Processing for the Internet of Multimedia Things (Vision Paper). Edward Curry |
| 2023 | Towards Open-Set Contract Clause Recognition. Angelo Impedovo, Giuseppe Rizzo, Antonio Di Mauro |
| 2023 | Towards Predictive Lifetime-Oriented Temperature Control of Power Electronics in E-vehicles via Reinforcement Learning. Anqi Chu, Xiang Xie, Chris Manuel Hermann, Wilhelm Stork, Jörg Roth-Stielow |
| 2023 | Towards Retention Analysis in NFT-based Blockchain Games. Rafet Sifa, Fabian Hadiji |
| 2023 | Towards Unified Data Ingestion and Transfer for the Computing Continuum. Muhammad Arslan Tariq, Ovidiu-Cristian Marcu, Grégoire Danoy, Pascal Bouvry |
| 2023 | Towards a Memory-Adaptive Hybrid Hash Join Design. Giulliano Silva Zanotti Siviero, Shiva Jahangiri |
| 2023 | Towards a Peer-to-Peer Data Distribution Layer for Efficient and Collaborative Resource Optimization of Distributed Dataflow Applications. Dominik Scheinert, Sören Becker, Jonathan Will, Luis Englaender, Lauritz Thamsen |
| 2023 | Towards an evolution in the characterization of the risk of re-identification of medical images. Antoine Boutet, Carole Frindel, Mohamed Maouche |
| 2023 | Towards automatic identification of self-reported COVID-19 tweets: Introducing a multilingual manually annotated dataset, baseline systems and exploratory evaluations. Ramya Tekumalla, Luis Alberto Robles Hernandez, Juan M. Banda |
| 2023 | Towards cost-effective and resource-aware aggregation at Edge for Federated Learning. Ahmad Faraz Khan, Yuze Li, Xinran Wang, Sabaat Haroon, Haider Ali, Yue Cheng, Ali Raza Butt, Ali Anwar |
| 2023 | Towards organizational change: a framework for evaluating trends and approaches in Gender Equality Plans. Greta Temporin, Alessandra Colombelli |
| 2023 | Tracking and Predicting Productions in Agricultural Processes: Applications and Experiences. Patrizia Vizza, Giuseppe Timpano, Francesco Vescio, Gianmichele Caligiuri, Fulvia Michela Caligiuri, Pasquale Lambardi, Pierangelo Veltri, Pietro H. Guzzi, Giuseppe Tradigo |
| 2023 | Traffic Demand Prediction Based on Multi-dimensional Graph Convolutional Network. Peiying Zeng, Liying Jiang, Yongxuan Lai, Fan Yang |
| 2023 | Transferring Lottery Tickets in Computer Vision Models: a Dynamic Pruning Approach. Qisheng He, Ming Dong |
| 2023 | Transformer-based LLMs in Cybersecurity: An in-depth Study on Log Anomaly Detection and Conversational Defense Mechanisms. Prasasthy Balasubramanian, Justin Seby, Panos Kostakos |
| 2023 | Transforming Agriculture with Intelligent Data Management and Insights. Yu Pan, Jianxin Sun, Hongfeng Yu, Geng Bai, Yufeng Ge, Joe Luck, Tala Awada |
| 2023 | TreeBERT: Advanced Representation Learning for Relation Extraction. Shashank Hebbar, Ying Xie, Jiang Zhong |
| 2023 | Tripletformer for Probabilistic Interpolation of Irregularly sampled Time Series. Vijaya Krishna Yalavarthi, Johannes Burchert, Lars Schmidt-Thieme |
| 2023 | Trustworthy Medical Operational AI: Marrying AI and Regulatory Requirements. Fabian Berns, Georg Zimmermann, Christian Borgelt, Niclas Heilig, Jan Kirchhoff, Florian Stumpe |
| 2023 | Two-sample KS test with approxQuantile in Apache Spark®. Bradley Eck, Duygu Kabakci-Zorlu, Amadou Ba |
| 2023 | UCE-FID: Using Large Unlabeled, Medium Crowdsourced-Labeled, and Small Expert-Labeled Tweets for Foodborne Illness Detection. Ruofan Hu, Dongyu Zhang, Dandan Tao, Huayi Zhang, Hao Feng, Elke A. Rundensteiner |
| 2023 | USER: Towards High-Utility Sequential Rules with Repetitive Items. Hong Lin, Wensheng Gan, Gengsen Huang, Philip S. Yu |
| 2023 | Ultra-wide Band Positioning with Signal Interference based on Two-Stream Residual Network. Xueming Xu, Ruirui Zhao, Jichao Li, Jianbin Sun |
| 2023 | Uncertainty Estimation for a Dual-Embedding based Entity Extraction Service. Hamed Khorasgani, Namrata Ghadi, Saumil Shah, Henry Zhang |
| 2023 | Uncertainty-Aware Optimisation for Sustainable Multimedia Event Processing in Big Data Streams. Felipe Arruda Pontes, Michael Schukat, Edward Curry |
| 2023 | Uncovering Inconsistencies and Contradictions in Financial Reports using Large Language Models. Tobias Deußer, David Leonhard, Lars Hillebrand, Armin Berger, Mohamed Khaled, Sarah Heiden, Tim Dilmaghani Khameneh, Bernd Kliem, Rüdiger Loitz, Christian Bauckhage, Rafet Sifa |
| 2023 | Uncovering and Understanding Smart TV Users' Picture Quality Preferences via Big Data Analytics. Hosub Lee |
| 2023 | Understanding Data Pre-processing with a Hybrid Diagram Integrating ER and Data Flow Notation. Robin Varghese, Carlos Ordonez |
| 2023 | Understanding Divergent Framing of the Supreme Court Controversies: Social Media vs. News Outlets. Jinsheng Pan, Zichen Wang, Weihong Qi, Hanjia Lyu, Jiebo Luo |
| 2023 | Understanding the Language of ADHD and Autism Communities on Social Media. Niloofar Kalantari, Amirreza Payandeh, Marcos Zampieri, Vivian Genaro Motti |
| 2023 | UniMHe: Unified Multi Hyperedge Prediction A Case Study on Crime Dataset. Melike Yildiz Aktas, Lulwah Alkulaib, Chang-Tien Lu |
| 2023 | Unstructured Transportation Safety Board Findings Categorization Using the Knowledge Graph Pipeline. Ritesh Panday, Chung-Horng Lung |
| 2023 | Unsupervised Learning for Depth Estimation in Unstructured Environments. Pian Qi, Fabio Giampaolo, Edoardo Prezioso, Francesco Piccialli |
| 2023 | Unsupervised Style Transfer of Modern Hebrew using Generative Language Modeling and Zero-Shot Prompting. Pavel Kaganovich, Ophir Münz-Manor, Elishai Ezra Tsur |
| 2023 | Unveiling Conversational Patterns: Intent Classification and Clustering in Reddit's Firearm Trade Community. Maria Makrynioti, Chaido Porlou, Anastasios Alexiadis, Georgios Stavropoulos, Konstantinos Votis, Dimitrios Tzovaras |
| 2023 | Unveiling engagement in virtual classrooms: a multimodal analysis. Diletta Chiaro, Daniela Annuziata, Stefano Izzo, Francesco Piccialli |
| 2023 | Unveiling the Road Matrix: Development of Versatile Pavement Surface Models from Low-resolution Aerial Images. Ling-Feng Liao, Deeksha Arya, Yoshihide Sekimoto |
| 2023 | Unvisited Out-Of-Town POI Recommendation with Simultaneous Learning of Multiple Regions. Rikuto Tsubouchi, Takahiro Hara, Kei Yonekawa, Shuichiro Haruta |
| 2023 | User Latent Interest Estimation in Real Space: A Comparative Analysis of Time-Series and Non-Time-Series Processing Algorithms. Takanobu Omura, Da Li, Panote Siriaraya, Katsumi Tanaka, Yukiko Kawai, Shinsuke Nakajima |
| 2023 | User-guided Page Merging for Memory Deduplication in Serverless Systems. Wei Qiu, Marcin Copik, Yun Wang, Alexandru Calotoiu, Torsten Hoefler |
| 2023 | Using Hospital Information System Data to Estimate Nursing Care Needs. Hiroyuki Ikedo, Tomohiro Kimura, Shusaku Tsumoto, Shoji Hirano |
| 2023 | Using Human Mobility Patterns to Forecast Outliers in Citizen Complaints Data. Vincent Bolta, Marwan Hassani |
| 2023 | Using the CARLA Simulator to Train A Deep Q Self-Driving Car to Control a Real-World Counterpart on A College Campus. Joseph May, Samir Poudel, Sammi Hamdan, Khem Poudel, Jorge Vargas |
| 2023 | Utilizing text mining and GIS analysis on the vulnerable disaster type of the elderly living alone. Jinhyeok Lee, Hyunjung Kim |
| 2023 | VEMUT-Sub-Sampling: A Novel Method for Sparse Multivariate Time-Series Vehicle Data. Nadin-Katrin Apel, Constantinos Antoniou |
| 2023 | VHGN: Cooperative Multiagent Reinforcement Learning with Historical Information Graph. Jiahao Liu, Jiale Xu, Haijia Bao, Ya Li |
| 2023 | Variable-based Learning Considering Topic Specificity in Heterogeneous Data Clustering Tasks. Kosuke Manabe, Yukihisa Fujita, Masahiro Kuwahara, Teruaki Hayashi |
| 2023 | Verifying Relational Explanations: A Probabilistic Approach. Abisha Thapa Magar, Anup Shakya, Somdeb Sarkhel, Deepak Venugopal |
| 2023 | Versatile Bengali OCR: Document Analysis Technique for Varied Document Styles and Content. AKM Shahariar Azad Rabby, Hasmot Ali, Md. Majedul Islam, Fuad Rahman |
| 2023 | Vision Paper: Advancing of AI Explainability for the Use of ChatGPT in Government Agencies - Proposal of A 4-Step Framework. Alvina Lee Hui Shan, Venky Shankararaman, Eng Lieh Ouh |
| 2023 | Vision Paper: Hyperspectral Analysis of Finger Skin Reflectance for Resilient Biometric Systems. Emanuela Marasco |
| 2023 | Vision Paper: Leveraging Industrial Big Data - Past, Present, and Future of the World Wide Lab. Mohamed Behery, Felix Glawe, István Koren, Martina Ziefle, Gerhard Lakemeyer, Philipp Brauner |
| 2023 | Vision Paper: Uncovering Illegal Firearm Transactions in Cryptocurrency Networks. Anastasia Kassiani Blitsi, Georgios Stavropoulos, Konstantinos Votis |
| 2023 | Visual Analytics and Exploration of Calcium Transient Imaging Data using Event-Based Clustering. Shiaofen Fang, Michal Lange, Haoying Fu, Yingying Chen, Yaoying Ma |
| 2023 | Visual Data Engineering for Conflict and Terrorism Prediction. Antonella Calò, Matteo Lia, Marco Zappatore, Antonella Longo |
| 2023 | Visual Insight Recommendation: From Ranking Insight Visualizations to Insight Types. Camille Harris, Ryan A. Rossi, Sana Malik, Jane Hoffswell, Fan Du, Tak Yeon Lee, Eunyee Koh, Handong Zhao |
| 2023 | Visual examination of relations between known classes for deep neural network classifiers. Lukasz Sobczak, Katarzyna Filus, Marzena Halama, Joanna Domanska |
| 2023 | Visual inspection for illicit items in X-ray images using Deep Learning. Ioannis Mademlis, Georgios Batsis, Adamantia Anna Rebolledo Chrysochoou, Georgios Th. Papadopoulos |
| 2023 | Visualization of 3D Hyperspectral Soil Mapping Data via Autoencoder-based Clustering. Jianxin Sun, Xinyan Xie, Yu Pan, Yakub Islamov, Yufeng Ge, Hongfeng Yu |
| 2023 | Voice of Employee: Impact of Online Reviews on Company and Job Seeker Matching Performance. Haeun Jang, Sanghee Kim, Jongseok Jeon, JooHee Oh |
| 2023 | Wealth of Nations, Wealth of Data: How GDP Shapes Diverse Large Language Models like ChatGPT : Interviewing Assorted Open Source Generative AI Models. Alex Kaplunovich |
| 2023 | WellFactor: Patient Profiling using Integrative Embedding of Healthcare Data. Dongjin Choi, Andy Xiang, Ozgur Ozturk, Deep Shrestha, Barry L. Drake, Hamid Haidarian, Faizan Javed, Haesun Park |
| 2023 | What is Hiding in Medicine's Dark Matter? Learning with Missing Data in Medical Practices. Neslihan Suzen, Evgeny M. Mirkes, Damian Roland, Jeremy Levesley, Alexander N. Gorban, Timothy J. Coats |
| 2023 | When Contrastive Learning Meets Graph Unlearning: Graph Contrastive Unlearning for Link Prediction. Tzu-Hsuan Yang, Cheng-Te Li |
| 2023 | When LLM Meets Material Science: An Investigation on MOF Synthesis Labeling. Xintong Zhao, Kyle Langlois, Jacob Furst, Scott McClellan, Rob Fleur, Yuan An, Xiaohua Hu, Fernando J. Uribe-Romo, Diego A. Gómez-Gualdrón, Jane Greenberg |
| 2023 | Who consumes anthocyanins and anthocyanidins? Mining national retail data to reveal the influence of socioeconomic deprivation and seasonality on polyphenol dietary intake. John Harvey, Gavin Long, Roberto Mansilla, Simon Welham, Peter Rose, Michelle Thomas, Gregor Milligan, Elizabeth Dolan, Joanne Parkes, Kuzivakwashe Makokoro, James Goulding |
| 2023 | Who's in My Archive? An End-to-End Framework for Automatic Annotation of TV Personalities. Maurizio Montagnuolo, Fulvio Negro, Alberto Messina, Angelo Bruccoleri, Roberto Iacoviello |
| 2023 | Why is the User Interface a Dark Pattern?: Explainable Auto-Detection and its Analysis. Yuki Yada, Tsuneo Matsumoto, Fuyuko Kido, Hayato Yamana |
| 2023 | Will Blockchain Technology Change How Well National Archives Preserve the Trustworthiness of Digital Records?: Preliminary Results of a Survey. Özhan Saglik, Victoria Lemieux |
| 2023 | Will my Flight be on Time? Learning from Part Failures to Predict Future Reliability. Jongjun Park, Fei Chiang, Eduardo Correia Da Silva, Kevin Lytwyn, Stephen C. Veldhuis |
| 2023 | Windfarm Forced Oscillation Detection Using Hyperdimensional Computing. Shyam Yathirajam, Arash Peighambari, Ruben Roberts, Hamed Nademi, Sreedevi Gutta, Justin Morris, Ali Ahmadinia |
| 2023 | Wireless Sensor Networks Calibration using Attention-based Gated Recurrent Units for Air Pollution Monitoring. Shagufta Henna, Asif Yar, Kazeem Saheed, Paulson Grigarichan |
| 2023 | Workload Shifting Based on Low Carbon Intensity Periods: A Framework for Reducing Carbon Emissions in Cloud Computing. Shivani Tripathi, Praveen Kumar, Priyadarshni Gupta, Rajiv Misra, T. N. Singh |
| 2023 | YOLOv5s-BSS: A Novel Deep Neural Network for Crack Detection of Road Damage. Conghua Wei, Qianjun Zhang, Xiaobo Zhang, Yan Yang, Jixin Zhang, Donghai Zhai |
| 2023 | Zero-shot Learning with Minimum Instruction to Extract Social Determinants and Family History from Clinical Notes using GPT Model. Neel Bhate, Ansh Mittal, Zhe He, Xiao Luo |
| 2023 | Zooming into Abnormal Events in Video Conferencing. Shmuel Horowitz, Dima Kagan, Galit Fuhrmann Alpert, Michael Fire |
| 2023 | [Vision Paper] Privacy-Preserving Data Integration. Lisa Trigiante, Domenico Beneventano, Sonia Bergamaschi |
| 2023 | gSPICE: Model-Based Event Shedding in Complex Event Processing. Ahmad Slo, Sukanya Bhowmik, Kurt Rothermel |
| 2023 | k-bitruss-Attributed Weighted Community Search on Attributed Weighted Bipartite Graphs. Zuxuan Zhang, Hongxi Li, Kai Huang, Yuncheng Jiang |
| 2023 | mTADS: Multivariate Time Series Anomaly Detection Benchmark Suites. David Baumgartner, Helge Langseth, Heri Ramampiaro, Kenth Engø-Monsen |