| 2023 | $\alpha$ - Mutual Information: A Tunable Privacy Measure for Privacy Protection in Data Sharing. MirHamed Jafarzadeh Asl, Mohammadhadi Shateri, Fabrice Labeau |
| 2023 | A Bayesian Hierarchical Analysis on the Disparity of Emergency Department Visits for COVID-19: A Cohort Study Using National COVID Cohort Collaborative (N3C) Data. Sihang Jiang, Johanna Loomba, Andrea Zhou, Suchetha Sharma, Saurav Sengupta, Donald E. Brown |
| 2023 | A ChatGPT-like Solution for Power Transformer Condition Monitoring. Joseph Accurso, Raul Mendy, Aira Torres, Yufei Tang |
| 2023 | A Comparative Analysis of Nature-Inspired Feature Selection Algorithms in Predicting Student Performance. Thomas Trask |
| 2023 | A Comprehensive Python Library for Deep Learning-Based Event Detection in Multivariate Time Series Data. Menouar Azib, Benjamin Renard, Philippe Garnier, Vincent Génot, Nicolas André |
| 2023 | A Content-based Skincare Product Recommendation System. Gyeongeun Lee, Xunfei Jiang, Natalie Parde |
| 2023 | A Deep Learning Framework for Time-Series Processing-Microstructure-Property Prediction. Yuwei Mao, Mahmudul Hasan, Claire Songhyun Lee, Muhammed Nur Talha Kilic, Vishu Gupta, Wei-keng Liao, Alok N. Choudhary, Pinar Acar, Ankit Agrawal |
| 2023 | A Domain Specific Students' Assistance System For The Provision Of Instructional Feedback. Chukwuka Victor Obionwu, Taruna Tiwari, Bhavya Baburaj Chovatta Valappil, Nishanth Raikar, Damanpreet Singh Walia, S. M. Laique Abbas, Chukwuemeka E. Okafor, David Broneske, Gunter Saake |
| 2023 | A Framework for Developing the Next Generation Interactive Soil Moisture Forecasting System Using the Long-Short Term Memory Model. Guna Shekar M., Wonjun Lee, Sanjiv Kumar, Yanan Duan, Imtiaz Rangwala |
| 2023 | A Genetic Algorithm for Combinational Logic Circuit Synthesis Using Directed Graph Primitives. Richard C. Yarnell, Pierce Powell, Ronald F. DeMara, Annie S. Wu |
| 2023 | A Graph Neural Network Based Learning Model for Urban Metro Flow Prediction. Ifigenia Drosouli, Athanasios Voulodimos, Paris Mastorocostas, Georgios Miaoulis, Djamchid Ghazanfarpour |
| 2023 | A Graph-Based Recommendation Model Using Contrastive Learning for Inductive Scenario. Yuma Dose, Shuichiro Haruta, Takahiro Hara |
| 2023 | A Lightweight Deep Recurrent Q-Learning Technique for Autonomous Wildfire Surveillance. Jeremy Cantor, O. Patrick Kreidl, John Nuszkowski, Alan Harris, Ayan Dutta |
| 2023 | A Lock Contention Classifier Based on Java Lock Contention Anti-Patterns. Ramiro Liscano, Aritra Ahmed, Joseph Robertson, Akramul Azim, Vijay Sundaresan, Yee-Kang Chang |
| 2023 | A Machine Learning Approach to Support Neuromorphic Device Design and Microfabrication. Abdi Yamil Vicenciodelmoral, Md. Mehedi Hasan Tanim, Feng Zhao, Xinghui Zhao |
| 2023 | A New Self-Adaptive Hybrid Approach Based on History-Driven Methods for Improving Metaheuristics. Sina Alizadeh, Malek Mouhoub |
| 2023 | A Novel Multi-Label Evaluation Measure with Comparative Analysis. EunSang Bak, Youngeun An, Sung Bum Pan |
| 2023 | A Remote Sensing Framework for Automated Monitoring of Roadside Water Quality. Alexander Flores, Anais Barja, Xianming Shi, Xinghui Zhao |
| 2023 | A Robust Negative Learning Approach to Partial Domain Adaptation Using Source Prototypes. Sandipan Choudhuri, Suli Adeniye, Arunabha Sen |
| 2023 | A Sentiment Analysis Benchmark for Automated Machine Learning Applications. Marília Costa Rosendo Silva, Vitor Augusto de Oliveira, Thiago Alexandre Salgueiro Pardo |
| 2023 | A Study of Distance Functions in FastMapSVM for Classifying Seismograms. Kushal Sharma, Ang Li, Malcolm C. A. White, T. K. Satish Kumar |
| 2023 | A Study on the Vulnerability of Test Questions against ChatGPT-based Cheating. Shanker Ram, Chen Qian |
| 2023 | A Two-Stage Deep Learning Framework for Enhanced Waste Detection and Classification. Hongbo Pang, Changcheng Huang |
| 2023 | AIRABIC: Arabic Dataset for Performance Evaluation of AI Detectors. Hamed Alshammari, Ahmed ElSayed |
| 2023 | ALLFA: Active Learning Through Label and Feature Augmentation. Yasutaka Nishimura, Naoto Takeda, Roberto Legaspi, Kazushi Ikeda, Thomas Plötz, Sonia Chernova |
| 2023 | APAM: Adaptive Pre-Training and Adaptive Meta Learning in Language Model for Noisy Labels and Long-Tailed Learning. Bo Dong, Yiming Xu, Sunyi Chi, Zhenyu Shi, Zheng Du |
| 2023 | AReID: Rethinking Re-Identification and Occlusions for Multi-Object Tracking. Rodolfo Quispe, Cuiling Lan, Zhizheng Zhang, Hélio Pedrini |
| 2023 | Accelerated Text Data Augmentation Using a Paraphrase Generation Model with Round-Trip Translation as a Supervisor. Shintaro Tanaka, Hitoshi Iima |
| 2023 | Accelerating Real-Time Imaging for Radiotherapy: Leveraging Multi-GPU Training with PyTorch. Ruth Obe, Brandt Kaufmann, Kaelen Baird, Sam Kadel, Yasmin Soltani, Mostafa Cham, Matthias K. Gobbert, Carlos A. Barajas, Zhuoran Jiang, Vijay R. Sharma, Lei Ren, Stephen W. Peterson, Jerimy C. Polf |
| 2023 | Accelerating Scientific Simulations with Bi-Fidelity Weighted Transfer Learning. Katarzyna Borowiec, Dan Lu, Vikas Chandan, Samrat Chatterjee, Pradeep Ramuhalli, Ramakrishna Tipireddy, Mahantesh Halappanavar, Frank Liu |
| 2023 | Active Learning for Improvement of Classification of Cyberthreat Actors in Text Fragments. Amanda Carp, Joel Brynielsson, Agnes Tegen |
| 2023 | Addressing Class Imbalance in Aeroengine Fault Detection. Amadi Gabriel Udu, Andrea Lecchini-Visintini, Maryam Khaksar Ghalati, Hongbiao Dong |
| 2023 | Advancing Multinomial Regression and Topic Modeling with Beta-Liouville Distributions. Pantea Koochemeshkian, Nizar Bouguila |
| 2023 | Advancing Precision Medicine: An Evaluative Study of Feature Selection Methods. Carol M. Kiekhaefer, Farhad Pourkamali-Anaraki |
| 2023 | Adversarial Attack Driven Data Augmentation for Time Series Classification. Peiyu Li, Pouya Hosseinzadeh, Omar Bahri, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi |
| 2023 | AlloyGAN: Domain-Promptable Generative Adversarial Network for Generating Aluminum Alloy Microstructures. Biao Yin, Yangyang Fan, Nicholas Josselyn, Elke A. Rundensteiner |
| 2023 | An Edge Internet of Things Framework for Machine Learning-Based Skin Cancer Detection Models. Karthik Reddy Kanjula, Ashok Raju Datla, Tianjie Chen, Md Faisal Kabir |
| 2023 | An Empirical Evaluation of Autoencoding-Based Location Spoofing Detection. Chiho Kim, Sang-Yoon Chang, Jonghyun Kim, Jinoh Kim |
| 2023 | An Enhanced YOLO Failure Detection Method. Danushka Senarathna, Rezoan Ferdous, Spyros Tragoudas |
| 2023 | An Ensemble Model for the Analysis of Parent-Child Interactions from Text and Audio. Behnam Nikbakhtbideh, Linda Duffett-Leger, Nicole Letourneau, Monica Oxford, Panagiota Tryphonopoulos, Mohammad Moshirpour |
| 2023 | An Extended Study of the Applications of Using Gesture Control to Pilot UAVs. William Carpenter, Patrick Omodara, Radu F. Babiceanu, Laxima Niure Kandel |
| 2023 | An Innovative Solar Flare Metadata Collection for Space Weather Analytics. Jinsu Hong, Chetraj Pandey, Anli Ji, Berkay Aydin |
| 2023 | An Investigation of Large Language Models for Real-World Hate Speech Detection. Keyan Guo, Alexander Hu, Jaden Mu, Ziheng Shi, Ziming Zhao, Nishant Vishwamitra, Hongxin Hu |
| 2023 | An Unsupervised Approach to Motion Detection Using WiFi Signals. Naveed Tahir, Yang Liu, Tiexing Wang, Garrett E. Katz, Biao Chen |
| 2023 | Analysis of Cardholder Spending Behavior and Transaction Authentication to Enhance Credit Card Fraud Detection. Tahani Baabdullah, Danda B. Rawat, Chunmei Liu, Amani Alzahrani, Aeman Almotairi |
| 2023 | Anomaly detection for MPC forecast in Fleet of Water Heaters. Viswadeep Lebakula, Eve Tsybina, Kadir Amasyali, Justin M. Hill, Jeffrey Munk, Helia Zandi |
| 2023 | Application - Hardware Co-Optimization of Crossbar-Based Neuromorphic Systems. Adarsha Balaji, Prasanna Balaprakash |
| 2023 | Assessment of Data Augmentation and Transfer Learning for Making PIG Cough Classifier Robust to Changing Farm Conditions. Sreenivasa Upadhyaya, Wim Buyens, Erik Vranken, Wim Desmet, Peter Karsmakers |
| 2023 | Assessor Models with a Reject Option for Soccer Result Prediction. Daniel C. Da Costa, Ricardo B. C. Prudêncio, Alexandre Mota |
| 2023 | AssistTaxi: A Comprehensive Dataset for Taxiway Analysis and Autonomous Operations. Parth Ganeriwala, Siddhartha Bhattacharyya, Sean Gunther, Brian Kish, Mohammed Abdul Hafeez Khan, Ankur Dhadoti, Natasha A. Neogi |
| 2023 | Attention-Augmented Parametric Kernel Graph Neural Network (APKGNN) for Node Classification. Avishek Bose, William H. Hsu |
| 2023 | Attention-Based Regularisation for Improved Generalisability in Medical Multi-Centre Data. Daniel Silva, Georgios Agrotis, Regina Beets-Tan, Luís F. Teixeira, Wilson Silva |
| 2023 | Augmentation-Based Approaches for Overcoming Low Visibility in Street Object Detection. João Pedro Novo, Manuel Goulão, Lourenço Bandeira, Bruno Martins, Arlindo L. Oliveira |
| 2023 | Automated Data Labeling for Object Detection via Iterative Instance Segmentation. Jinyoon Kim, Md Faisal Kabir |
| 2023 | Automated Machine Learning Based Triage for Decision Support in Clinical and Urgent Care. Jose M. Ruiz Mejia, Danda B. Rawat |
| 2023 | Automating Lichen Monitoring in Ecological Studies Using Instance Segmentation of Time-Lapse Images. Safwen Naimi, Olfa Koubaa, Wassim Bouachir, Guillaume-Alexandre Bilodeau, Gregory Jeddore, Patricia Baines, David L. P. Correia, Andre Arsenault |
| 2023 | BERT-Based Sentiment Forensics Analysis for Intrusion Detection. Shahrzad Sayyafzadeh, Hongmei Chi, Weifeng Xu, Kaushik Roy |
| 2023 | Bayesian Optimization that Limits Search Region to Lower Dimensions Utilizing Local GPR. Yasunori Taguchi, Hiro Gangi |
| 2023 | Behavior Analysis of Parent-Child Interactions from Text. Behnam Nikbakhtbideh, Linda Duffett-Leger, Mohammad Moshirpour |
| 2023 | Benchmarking Communicative Reinforcement Learning Frameworks on Multi-Robot Cooperative Tasks. Muhammad Naveed Abbas, Paul Liston, Brian Lee, Yuansong Qiao |
| 2023 | Benchmarking YOLO Models for Automatic Reading in Smart Metering Systems: A Performance Comparison Analysis. Amine Hattak, Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Antonella Santone |
| 2023 | Benefits of Using Multiple Post-Hoc Explanations for Machine Learning. Corentin Boidot, Olivier Augereau, Pierre De Loor, Riwal Lefort |
| 2023 | Bidirectional Backpropagation Autoencoding Networks for Image Compression and Denoising. Olaoluwa Adigun, Bart Kosko |
| 2023 | Breaking the Limits of Scanning Tunneling Microscopy Using Image Super Resolution. Rockwell T. Li, Shashika Wijerathna, Yuan Zhang |
| 2023 | Breast Cancer Segmentation on Ultrasound Images using U-Net and Grad-CAM. Sadiq Uddin Bhuiyan, Mohammad Rakibul Hasan Mahin, Mir Jadir Siddique, Nahin Hossain, Shammo Faiyaz Ahmed, Mobashra Abeer, Annajiat Alim Rasel |
| 2023 | Building Bridges of Knowledge: Innovating Education with Automated Crossword Generation. Kamyar Zeinalipour, Tommaso Iaquinta, Giovanni Angelini, Leonardo Rigutini, Marco Maggini, Marco Gori |
| 2023 | Byzantine Resilient Federated REINFORCE (GM-FedREINFORCE). Ankit Pratap Singh, Ronak Tali |
| 2023 | CD- NOTEARS: Concept Driven Causal Structure Learning Using NOTEARS. Jawad Chowdhury, Gabriel Terejanu |
| 2023 | CNN-LSTM-Based Deep Recurrent Q-Learning for Robotic Gas Source Localization. Iliya Kulbaka, Ayan Dutta, Ladislau Bölöni, O. Patrick Kreidl, Swapnoneel Roy |
| 2023 | Caveline Detection at the Edge for Autonomous Underwater Cave Exploration and Mapping. Mohammadreza Mohammadi, Sheng-En Huang, Titon Barua, Ioannis M. Rekleitis, Md Jahidul Islam, Ramtin Zand |
| 2023 | Channel-Adaptive Early Exiting Using Reinforcement Learning for Multivariate Time Series Classification. Leonardos Pantiskas, Kees Verstoep, Mark Hoogendoorn, Henri E. Bal |
| 2023 | Characterizing CNN-Based Vessel Detection Algorithm Sensitivity to Optical Sensor Artifacts. John G. Warner, Quinton Davidson, Michael Tietz, William Scharpf, Charles Keene |
| 2023 | ChatGPT vs. Human Annotators: A Comprehensive Analysis of ChatGPT for Text Annotation. Mohammed Aldeen, Joshua Luo, Ashley Lian, Venus Zheng, Allen Hong, Preethika Yetukuri, Long Cheng |
| 2023 | ChemVise: Maximizing Out-of-Distribution Chemical Detection with a Novel Application of Transfer Learning. Alexander M. Moore, Randy C. Paffenroth, Ken T. Ngo, Joshua R. Uzarski |
| 2023 | Combining Improvements in FQF Distributional Reinforcement Learning Algorithm. Júlio César Mendes de Resende, Edimilson Batista dos Santos, Marcos Antonio de Matos Laia |
| 2023 | Comparative Evaluation of Transfer Learning for Classification of Brain Tumor Using MRI. Abu Kaisar Mohammad Masum, Nusrat Badhon, S. M. Saiful Islam Badhon, Nushrat Jahan Ria, Sheikh Abujar, Muntaser Mansur Syed, Naveed Mahmud |
| 2023 | Comprehending Lexical and Affective Ontologies in the Demographically Diverse Spatial Social Media Discourse. Salim Sazzed |
| 2023 | ConKGP: A Contrastive Learning Framework on Knowledge Graphs for Commonsense Reasoning with Perturbation. Hongzhi Zhang, M. Omair Shafiq |
| 2023 | Conceptualizing Suicidal Behavior: Utilizing Explanations of Predicted Outcomes to Analyze Longitudinal Social Media Data. Van Minh Nguyen, Nasheen Nur, William Stern, Thomas Mercer, Chiradeep Sen, Siddhartha Bhattacharyya, Victor Tumbiolo, Seng Jhing Goh |
| 2023 | Conditioned Cycles in Sparse Data Domains: Applications to Electromagnetics. Maria Barger, Randy C. Paffenroth, Harsh Nilesh Pathak |
| 2023 | Context-Aware Neural Video Compression on Solar Dynamics Observatory. Atefeh Khoshkhahtinat, Ali Zafari, Piyush M. Mehta, Nasser M. Nasrabadi, Barbara J. Thompson, Michael S. F. Kirk, Daniel da Silva |
| 2023 | Contrastive Pretraining of Regression Tasks in Reliability Forecasting of Automotive Electronics. Emilio Zarbali, Alwin Hoffmann, Jonas Hepp |
| 2023 | Control of Composite Manufacturing Processes Through Deep Reinforcement Learning. Simon Stieber, Leonard Heber, Christof Obertscheider, Wolfgang Reif |
| 2023 | Controlled Randomness Improves the Performance of Transformer Models. Tobias Deußer, Cong Zhao, Wolfgang Krämer, David Leonhard, Christian Bauckhage, Rafet Sifa |
| 2023 | Corn Yield Prediction using Spatial-Temporal Data and Deep Learning. Bhavesh Singh Bisht, Iluju Kiringa, Tet Hin Yeap |
| 2023 | DADO - Low-Cost Query Strategies for Deep Active Design Optimization. Jens Decke, Christian Gruhl, Lukas Rauch, Bernhard Sick |
| 2023 | DSVAE: Disentangled Representation Learning for Synthetic Speech Detection. Amit Kumar Singh Yadav, Kratika Bhagtani, Ziyue Xiang, Paolo Bestagini, Stefano Tubaro, Edward J. Delp |
| 2023 | Data Augmentation for Emotion Detection in Small Imbalanced Text Data. Anna Koufakou, Diego Grisales, Ragy Costa de Jesus, Oscar Fox |
| 2023 | Data Reduction to Improve the Performance of One-Class Classifiers on Highly Imbalanced Big Data. John T. Hancock, Taghi M. Khoshgoftaar |
| 2023 | Decoding Ethiopian Abodes: Towards Classifying Buildings by Occupancy Type Using Footprint Morphology. Daniel S. Adams, Taylor Hauser, Jessica Moehl |
| 2023 | Deep Learning Based Forecasting of COVID-19 Hospitalisation in England: A Comparative Analysis. Michael Ajao-Olarinoye, Vasile Palade, Seyed Mousavi, Fei He, Petra A. Wark |
| 2023 | Deep Learning Based Segmentation of Luria's Alternating Series Test to Support Diagnostics of Parkinson's Disease. Elli Valla, Henry Laur, Sven Nõmm, Kadri Medijainen, Pille Taba, Aaro Toomela |
| 2023 | Deep Learning-based Student Learning Behavior Understanding Framework in Real Classroom Scene. Yuxin Yang, Zhengyong Ren, Chris Lenart, Ashton Corsello, Karl W. Kosko, Simon Su, Qiang Guan |
| 2023 | Deep Reinforcement Learning for the Joint Control of Traffic Light Signaling and Vehicle Speed Advice. Johannes V. S. Busch, Robert Voelckner, Peter Sossalla, Christian L. Vielhaus, Roberto Calandra, Frank H. P. Fitzek |
| 2023 | Deep Single Models vs. Ensembles: Insights for a Fast Deployment of Parking Monitoring Systems. Andre Gustavo Hochuli, Jean Paul Barddal, Gillian Cezar Palhano, Leonardo Matheus Mendes, Paulo Ricardo Lisboa de Almeida |
| 2023 | DeepCrysTet: A Deep Learning Approach Using Tetrahedral Mesh for Predicting Properties of Crystalline Materials. Hirofumi Tsuruta, Yukari Katsura, Masaya Kumagai |
| 2023 | DeepSC-Edge: Scientific Corrosion Segmentation with Edge-Guided and Class-Balanced Losses. Biao Yin, Nicholas Josselyn, Thomas A. Considine, John V. Kelley, Berend C. Rinderspacher, Robert E. Jensen, James F. Snyder, Ziming Zhang, Elke A. Rundensteiner |
| 2023 | Demonstrating Automated Generation of Simulation Models from Engineering Diagrams. Jan Marius Stürmer, Marius Graumann, Tobias Koch |
| 2023 | Denial-of Service (DoS) Attack Detection Using Edge Machine Learning. Ngoc Suong Huynh, Sebastian De La Cruz, Alexander Perez-Pons |
| 2023 | Depression Diagnosis Algorithm Based on R2U-Net Using Facial Images. Daegil Choi, Gengjia Zhang, Jaehyo Jung |
| 2023 | Detecting Dialogue Hallucination Using Graph Neural Networks. Kazuaki Furumai, Yanan Wang, Makoto Shinohara, Kazushi Ikeda, Yi Yu, Tsuneo Kato |
| 2023 | Detecting Relevant Information in High- Volume Chat Logs: Keyphrase Extraction for Grooming and Drug Dealing Forensic Analysis. Jeovane Honório Alves, Horácio A. C. G. Pedroso, Rafael Honorio Venetikides, Joel E. M. Köster, Luiz Rodrigo Grochocki, Cinthia O. A. Freitas, Jean Paul Barddal |
| 2023 | Detecting Stealthy Cobalt Strike C&C Activities via Multi-Flow based Machine Learning. Fabian Martin Ramos, Xinyuan Wang |
| 2023 | Detection Success Assessment of Machine Learning Algorithms Through Manifest File Permissions Demanded by Malicious Android Wares. Hamza Aytaç Doganay, Halil-Ibrahim Bülbül |
| 2023 | Detection of Anomalies in Civil Structures Using Machine Learning Models: Benchmark Study. Vitor dos Santos Amorim, Wyctor Fogos da Rocha, Flávio Tongo da Silva, Aalah Adam |
| 2023 | Detection of Anti-Human Rights Discourse from Colombian Social Media Conversations Using Advanced Transformer Models. Atharva R. Manjrekar, Swapna S. Gokhale, Richard A. Wilson |
| 2023 | Detection of Coronavirus Disease (COVID-19) Based on Deep Features and Support Vector Machine Mohamed Elamine Khoudour, Ismaïl Biskri |
| 2023 | Detection of Exponential Regimes from Time Series for Characterizing the Thermal Dynamics of Buildings. Allou Samé |
| 2023 | Determining Risk Factors for Long COVID Using Positive Unlabeled Learning on Electronic Health Records Data from NIH N3C. Saurav Sengupta, Johanna Loomba, Suchetha Sharma, Scott A. Chapman, Donald E. Brown |
| 2023 | Dormant Neural Trojans. Feisi Fu, Panagiota Kiourti, Wenchao Li |
| 2023 | DualCam: A Novel Benchmark Dataset for Fine-Grained Real-Time Traffic Light Detection. Harindu Jayarathne, Tharindu Samarakoon, Hasara Koralege, Asitha Divisekara, Ranga Rodrigo, Peshala Jayasekara |
| 2023 | Dynamic Changes of Brain Network During Epileptic Seizure. Atefeh Khoshkhahtinat, Hoda Mohammadzade |
| 2023 | Dynamic Patch Sampling for Efficient Training and Dynamic Inference in Vision Transformers. Bradley McDanel, Chi Phuong Ngoc Huynh |
| 2023 | Early Churn Prediction from Large Scale User-Product Interaction Time Series. Shamik Bhattacharjee, Utkarsh Thukral, Nilesh Patil |
| 2023 | Early Detection of Mental and Behavioral Health Issues from High-School Academic Performance. Davide Porello, Ugo A. Buy, Kyle W. Boerke, M. Pieta Keller |
| 2023 | Efficient CNN-LSTM Based Parameter Estimation of Lévy Driven Stochastic Differential Equations. Shuaiyu Li, Yang Ruan, Changzhou Long, Yuzhong Cheng |
| 2023 | Efficient Defense Against Model Stealing Attacks on Convolutional Neural Networks. Kacem Khaled, Mouna Dhaouadi, Felipe Gohring de Magalhaes, Gabriela Nicolescu |
| 2023 | Efficient Prequential AUC-PR Computation. David L. Pereira Gomes, André Grégio, Marco Antonio Zanata Alves, Paulo R. Lisboa de Almeida |
| 2023 | Embedding Representations of Diagnosis Codes for Outlier Payment Detection. Anvesh Matta, Michael Suesserman, David McNamee, Daniel Lasaga, Dan Olson, Edward Bowen, Sanmitra Bhattacharya |
| 2023 | Empirical Mode Decomposition with Envelope Extraction and LSTM for univariate time series forecasting. Mohamed Ndiaye, Mamadou Mboup |
| 2023 | EnCoDe: Enhancing Compressed Deep Learning Models Through Feature - - - Distillation and Informative Sample Selection. Rebati Raman Gaire, Sepehr Tabrizchi, Arman Roohi |
| 2023 | End-to-End Attention/Transformer Model for Solar Flare Prediction from Multivariate Time Series Data. Khaznah Alshammari, Kartik Saini, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi |
| 2023 | End-to-End Optimized Pipeline for Prediction of Protein Folding Kinetics. Vijay Arvind R, Haribharathi Sivakumar, Brindha R |
| 2023 | Energy Efficient ECG Classifier Using Smart Lead Switching and Apache TVM. Ahmad Ayad, Mahdi Barhoush, Benedikt Völker, Steffen Leonhardt, Anke Schmeink |
| 2023 | Energy Efficient Learning Algorithms for Glaucoma Diagnosis. Krish Nachnani |
| 2023 | Energy-Efficient GPU-Intensive Workload Scheduling for Data Centers. Matthew Smith, Luke Zhao, Jonathan Cordova, Xunfei Jiang, Mahdi Ebrahimi |
| 2023 | Enhanced Graph Neural Networks with Ego-Centric Spectral Subgraph Embeddings Augmentation. Anwar Said, Mudassir Shabbir, Tyler Derr, Waseem Abbas, Xenofon D. Koutsoukos |
| 2023 | Enhanced Spatio- Temporal Image Encoding for Online Human Activity Recognition. Nassim Mokhtari, Vincent Fer, Alexis Nédélec, Marlène Gilles, Pierre De Loor |
| 2023 | Enhancing Complex Image Synthesis with Conditional Generative Models and Rule Extraction. Chafic Abou Akar, André Luckow, Ahmad Obeid, Christian Beddawi, Marc Kamradt, Abdallah Makhoul |
| 2023 | Enhancing Efficiency and Privacy in Memory-Based Malware Classification Through Feature Selection. Salim Sazzed, Sharif Ullah |
| 2023 | Enhancing Health Information Retrieval with Large Language Models: A Study on MedQuAD Dataset. Prajwol Lamichhane, Indika Kahanda |
| 2023 | Enhancing Transfer Learning Reliability via Block-Wise Fine-Tuning. Basel Barakat, Qiang Huang |
| 2023 | Enhancing Transfer Learning of LLMs through Fine- Tuning on Task - Related Corpora for Automated Short-Answer Grading. Nazmul Kazi, Indika Kahanda |
| 2023 | Epileptic Electroencephalogram Signal Classification Based on Shearlet and Contourlet Transforms. Paulo H. J. Amorim, Thiago F. Moraes, Jorge Vicente Lopes da Silva, Hélio Pedrini |
| 2023 | Estimating Plant Physiological State by Learning Methods Considering Imbalance and Time-series. Koki Sato, Naoki Oishi, Natsuru Futamata, Hiroshi Mineno |
| 2023 | Evaluating Adversarial Robustness with Expected Viable Performance. Ryan McCoppin, Colin Dawson, Sean M. Kennedy, Leslie M. Blaha |
| 2023 | Evaluating Impact of Wearing Masks in Face Recognition Using Deep Learning Algorithms. Mustafa Atay, Megh Poudyel |
| 2023 | Evaluating Machine Learning and Statistical Models for Greenland Subglacial Bed Topography. Katherine Yi, Angelina Dewar, Tartela Tabassum, Jason Lu, Ray Chen, Homayra Alam, Omar Faruque, Sikan Li, Mathieu Morlighem, Jianwu Wang |
| 2023 | Evaluating the Performance of Classification Algorithms for Land-Cover Classification. Marcos Pastorini, Angela Gorgoglione, Rafael Rodríguez, Lorena Etcheverry, Alberto Castro |
| 2023 | Event-driven Sentiment Drift Analysis in Text Streams: An Application in a Soccer Match. Cristiano Mesquita Garcia, Alceu de Souza Britto Jr., Jean Paul Barddal |
| 2023 | EvilELF: Evasion Attacks on Deep-Learning Malware Detection over ELF Files. Andrew Kosikowski, Daniel Cho, Mabon Ninan, Anca L. Ralescu, Boyang Wang |
| 2023 | Exploring Hessian Regularization in Mixup. Kosuke Sugiyama, Masato Uchida |
| 2023 | Exploring Multi-Level Threats in Telegram Data with AI-Human Annotation: A Preliminary Study. Kamalakkannan Ravi, Adan Ernesto Vela, Elizabeth Jenaway, Steven Windisch |
| 2023 | Exploring Neural Network Structure through Sparse Recurrent Neural Networks: A Recasting and Distillation of Neural Network Hyperparameters. Quincy Hershey, Randy C. Paffenroth, Harsh Nilesh Pathak |
| 2023 | Exploring the Faithfulness of Synthetic Data by Generative Models. Fiammetta Marulli, Pierluigi Paganini, Fabio Lancellotti |
| 2023 | FReNG: Federated Optimization by Using Regularized Natural Gradient Descent. Mrinmay Sen, C. Gayatri |
| 2023 | Facial Expression Recognition Using Robust Attention-Based CNN. Uma Chinta, Adham Atyabi |
| 2023 | Facial Expression Recognition using Convolutional Neural Network through Region-based Patch Generation: Harnessing Subtle Facial Cues. Hriday R. Nagrani, Dhaval K. Patel, Kashish D. Shah, Harsh A. Patel, Manob Jyoti Saikia |
| 2023 | Facial Forgery-Based Deepfake Detection Using Fine-Grained Features. Aakash Varma Nadimpalli, Ajita Rattani |
| 2023 | Fairness-Aware Model Selection Using Differential Item Functioning. Diego Minatel, Antonio Rafael Sabino Parmezan, Mariana Curi, Alneu de Andrade Lopes |
| 2023 | Fake Review Detection Using Rating-Sentiment Inconsistency. Kiana Sharifpour, Salim Lahmiri |
| 2023 | Fall Detection using Machine Learning Techniques and Frequency-Driven Riemannian Manifolds. Shan Suthaharan |
| 2023 | Federated Learning for Network Anomaly Detection in a Distributed Industrial Environment. Alireza Dehlaghi-Ghadim, Tijana Markovic, Miguel Leon, David Söderman, Per Erik Strandberg |
| 2023 | Few-Shot Image Classification for Rare Ocular Disease with an Ensemble of Pretrained Feature Extractors and a Statistical Classifier. Sophia Zorek, Shengxin Luo, Vanessa Aguiar-Pulido |
| 2023 | Flood-ResNet50: Optimized Deep Learning Model for Efficient Flood Detection on Edge Device. Md. Azim Khan, Nadeem Ahmed, Joyce Padela, Muhammad Shehrose Raza, Aryya Gangopadhyay, Jianwu Wang, James R. Foulds, Carl E. Busart, Robert F. Erbacher |
| 2023 | Forecasting Critical Overloads based on Heterogeneous Smart Grid Simulation. Matthias Bittner, Daniel Hauer, Christian Stippel, Katharina Scheucher, Robin Sudhoff, Axel Jantsch |
| 2023 | Fracture Estimation Based on Deformation History with Recurrent Neural Networks. Muhammed Adil Yatkin, Mihkel Kõrgesaar |
| 2023 | From Pixels to Palate: Deep Learning-Based Image Aesthetics Assessment for Food and Beverages. Jessica Weiler, Andreas Theissler, Uwe Messer |
| 2023 | From Sky to Strategy: Construction Activity Index and Stage Estimation From Drone-Captured Imagery. Advait Gupta, Manan Padsala, Aastha Shayla, Tanmay Bisen, Susham Biswas, Abhemanyu Sarin |
| 2023 | GPT-DETOX: An In-Context Learning-Based Paraphraser for Text Detoxification. Ali Pesaranghader, Nikhil Verma, Manasa Bharadwaj |
| 2023 | Gaussian Process with Correlation Factor for Text Classification Problem. Qianli Hu, Jiangning Chen, Haoyan Zhai, Wei Luo, Juntao Duan |
| 2023 | Gaze Reveals Emotion Perception: Insights from Modelling Naturalistic Face Viewing. Meisam Jamshidi Seikavandi, Maria Jung Barret |
| 2023 | General Model for Manufacturing Defect Detection Crossing Multiple Products. Longfei Zhou, Zhanghao Qin, Ping Xia, Jiabao Liu, Weihao Cheng, Yunwei Li, Leyi Ying, Qian Liu, Mengxin Liu, Gezhang Song, Zebo Huang, Zhou Hao |
| 2023 | Graph Pyramid Autoformer for Long- Term Traffic Forecasting. Weiheng Zhong, Tanwi Mallick, Jane MacFarlane, Hadi Meidani, Prasanna Balaprakash |
| 2023 | Graph Representation Learning with Graph Transformers in Neural Combinatorial Optimization. Tianze Wang, Amir Hossein Payberah, Vladimir Vlassov |
| 2023 | Graph Wavenet+TimeGrad Probabilistic Model for High-Dimensional Time Series Prediction. Xiuxuan Sun, Jianhua Chen |
| 2023 | Gray-box Adversarial Attack of Deep Reinforcement Learning-based Trading Agents Foozhan Ataiefard, Hadi Hemmati |
| 2023 | HCT: Hybrid Convnet-Transformer for Parkinson's Disease Detection and Severity Prediction from Gait. Safwen Naimi, Wassim Bouachir, Guillaume-Alexandre Bilodeau |
| 2023 | Hi-GoTE: Hierarchical Group-Wise Temporal Ensembling for Semi-Supervised Pedestrian Attribute Recognition. Manikandan Ravikiran, Soumen Biswas, Ananth Ganesh |
| 2023 | Hierarchical Federated Transfer Learning: A Multi-Cluster Approach on the Computing Continuum. Sabtain Ahmad, Atakan Aral |
| 2023 | Hierarchical Multi-Agent Reinforcement Learning for Air Combat Maneuvering. Ardian Selmonaj, Oleg Szehr, Giacomo Del Rio, Alessandro Antonucci, Adrian Schneider, Michael Rüegsegger |
| 2023 | How far is too far? Identifying suspicious travel patterns in healthcare claims using machine learning. Kai Wang, Daniel Lasaga, John Helms, Edward Bowen, Sanmitra Bhattacharya |
| 2023 | Hybrid Quantum-Classical Machine Learning for Sentiment Analysis. Abu Kaisar Mohammad Masum, Anshul Maurya, Dhruthi Sridhar Murthy, Pratibha, Naveed Mahmud |
| 2023 | Hybrid Wavelet Transform and Deep Stacking Ensemble Model for Network Traffic Prediction. Nader Joojili, Alexis Amezaga Hechavarria, Omair Shafiq, Akram Bin Sediq, Peiliang Chang, Hatem Abou-Zeid |
| 2023 | Hyperparameter Optimization and Feature Inclusion in Graph Neural Networks for Spiking Implementation. Guojing Cong, Shruti R. Kulkarni, Seung-Hwan Lim, Prasanna Date, Shay Snyder, Maryam Parsa, Dominic Kennedy, Catherine D. Schuman |
| 2023 | Identification of Adipogenic and Osteogenic Differentiation using transfer learning of ResNet-18. Maxwell Mai, Shuai Luo, Shue Wang, Yulei Pang |
| 2023 | Identifying Household Fingerprint Using Intelligent Passive Monitoring for People Living with Dementia. Alina-Irina Serban, Helen Lai, Sarah Daniels, Rafael A. Calvo, David J. Sharp, Eyal Soreq |
| 2023 | Igniting Precision: Amplifying Wildfire Prediction in Diverse Regions via Teacher-Student Model Fusion. Michael Lindemann, Kathleen DeMichele, Masoumeh Heidari Kapourchali, Mohammad Heidari Kapourchali, Christine F. Waigl, Erin Trochim, Long Zhao |
| 2023 | Illuminating the Black Box: A Comparative Study of Explainable AI for Interpreting Time Series Data in Vehicle Power Net Consumption Models. Julian Müller, Lukas Czekalla, Florian Schuchter, Georg Frey |
| 2023 | Impact of Stress on Sleep Levels: A Comparative Machine Learning Study Based on Wearable Data. Ronak Barati, Linda Duffett-Leger, Mahtab Moshirpour, Mohammad Moshirpour |
| 2023 | Implementing Recycling Methods for Linear Systems in Python with an Application to Multiple Objective Optimization. Ainara Garcia, Sihong Xie, Arielle Carr |
| 2023 | Improved Batching Strategy For Irregular Time-Series ODE. Ting Fung Lam, Yony Bresler, Ahmed Khorshid, Nathan Perlmutter |
| 2023 | Improving AML Diagnosis Precision: Deep Learning-Based Classification of Leukocyte Morphology and Malignancy. Venkat Penmetsa, Lachin Fernando, Sindhu Ghanta |
| 2023 | Improving Adversarial Robustness of Few-Shot Learning with Contrastive Learning and Hypersphere Embedding. Madhushan Buwaneswaran, Tehara Fonseka, Apurva Narayan, Katarina Grolinger |
| 2023 | Improving Embeddings for High-Accuracy Transformer-Based Address Matching Using a Multiple in-Batch Negatives Loss. André V. Duarte, Arlindo L. Oliveira |
| 2023 | Improving Robustness of Convolutional Networks Through Sleep-Like Replay. Jean Erik Delanois, Aditya Ahuja, Giri P. Krishnan, Timothy Tadros, Julian J. McAuley, Maxim Bazhenov |
| 2023 | Improving Transparency and Explainability of Deep Learning Based IoT Botnet Detection Using Explainable Artificial Intelligence (XAI). Rajesh Kalakoti, Sven Nõmm, Hayretdin Bahsi |
| 2023 | Incremental Domain Learning for Surface Quality Inspection of Automotive High Voltage Battery. Majid Shirazi, Georgij Safronov, Amr Risk |
| 2023 | Injury Risk Prediction in Soccer Using Machine Learning. Brendan Shen, Mikhail Y. Shalaginov, Tingying Helen Zeng |
| 2023 | Integrating Fourier Transform and Residual Learning for Arctic Sea Ice Forecasting. Louis Lapp, Sahara Ali, Jianwu Wang |
| 2023 | Intent Detection at Scale: Tuning a Generic Model using Relevant Intents. Nichal Narotamo, David Aparício, Tiago Mesquita, Mariana Almeida |
| 2023 | Interactive Distillation of Large Single-Topic Corpora of Scientific Papers. Nicholas Solovyev, Ryan Barron, Manish Bhattarai, Maksim Ekin Eren, Kim Ø. Rasmussen, Boian S. Alexandrov |
| 2023 | International Conference on Machine Learning and Applications, ICMLA 2023, Jacksonville, FL, USA, December 15-17, 2023 |
| 2023 | Investigation of Racial Bias in Property Crime Prediction by Machine Learning Models. Alexander Li, Mikhail Y. Shalaginov, Andrew Tao, Tingying Helen Zeng |
| 2023 | IoT-MGSec: Mitigating Man-in-the-Middle Attacks in IoT Networks Using Graph-Based Learning. Ebelechukwu Nwafor, Carter Schmidt, Habeeb Olufowobi |
| 2023 | Is GPT Powerful Enough to Analyze the Emotions of Memes? Jingjing Wang, Joshua Luo, Grace Yang, Allen Hong, Feng Luo |
| 2023 | Iterative Feature Boosting for Explainable Speech Emotion Recognition. Alaa Nfissi, Wassim Bouachir, Nizar Bouguila, Brian L. Mishara |
| 2023 | Knowledge Distillation for Quantized Vehicle Sensor Data. Christopher Vox, Onno Niemann, David Broneske, Jan Piewek, Andreas Udo Sass, Gunter Saake |
| 2023 | Learning Discriminative Feature Representations via Metric Learning for Early Operation of Wind Turbine Anomaly Detection Systems. Taiki Inoue, Jun Ogata, Makoto Iida, Tetsuji Ogawa |
| 2023 | Learning Unbiased News Article Representations: A Knowledge-Infused Approach. Sadia Kamal, Jimmy Hartford, Jeremy Willis, Arunkumar Bagavathi |
| 2023 | Learning, Tiny and Huge: Heterogeneous Model Augmentation Towards Federated Tiny Learning. Madhureeta Das, Gaurav Bagwe, Miao Pan, Xiaoyong Yuan, Lan Zhang |
| 2023 | METFORC: Classification with Meta-Learning and Multimodal Stratified Time Series Forest. Pouya Hosseinzadeh, Omar Bahri, Peiyu Li, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi |
| 2023 | MILPdM: A Predictive Maintenance Architecture for the Military Domain. Jovani Dalzochio, Rafael Kunst, Jorge L. V. Barbosa, Edison Pignaton de Freitas, Alécio P. D. Binotto |
| 2023 | MIS-AVoiDD: Modality Invariant and Specific Representation for Audio-Visual Deepfake Detection. Vinaya Sree Katamneni, Ajita Rattani |
| 2023 | Machine Learning Approach for Particle Matching, Tracing and Velocimetry with Self-Organizing Map: Application to Complex Plasmas. Max Klein, Niklas Dormagen, Andreas S. Schmitz, Markus H. Thoma, Mike Schwarz |
| 2023 | Machine Learning for Detecting Malware in PE Files. Collin Connors, Dilip Sarkar |
| 2023 | Machine Learning of Feature Importance for Biomechanical Efficiency of Baseball Pitching. Manfred Minimair, Richard J. Boergers, Michael Ciminiello, Emily Giannini, Natasha Rosa, Zachary Sylvester, Anthony Vischovich |
| 2023 | Machine Learning-based California Wildfire Risk Prediction and Visualization. David J. Castrejon, Connor Wang, Denys Osmak, Bhumil Kukadiya, Li Liu, Mario Giraldo, Xunfei Jiang |
| 2023 | Machine and Deep Learning Techniques to Classify Arousal Judgments in Dynamic Virtual Experience of Architecture. Riccardo Pecori, Paolo Presti, Pietro Avanzini, Lerina Aversano, Fausto Caruana, Marta Cimitile, Debora Montano, Davide Ruzzon, Mario Luca Bernardi, Giovanni Vecchiato |
| 2023 | Mandible Segmentation from CT and CBCT Images Based on a Patch-Based Convolutional Neural Network. Paulo H. J. Amorim, Thiago F. Moraes, Jorge Vicente Lopes da Silva, Hélio Pedrini |
| 2023 | Many-to-One: Transformer-based unsupervised anomaly detection and localization on industrial images. Naga Jyothirmayee Dodda, Ziad Kobti |
| 2023 | Measuring and Modifying Factual Knowledge in Large Language Models. Pouya Pezeshkpour |
| 2023 | Medical Asset Management: Deep Learning Based Asset Usage Prediction in a Hospital Setting Using Real Data. Mona Esmaeili, Zeinab Akhavan, Hamid Nasiri, Yonatan Melese Worku, Sisay Tadesse Arzo, Andreas Stavropoulos, Michael Devetsikiotis, Payman Zarkesh-Ha |
| 2023 | Meta-Analysis of the Machine Learning Operations Open Source Ecosystem. Isabel Zimmerman, Julia Silge, Paniz Abedin, Reinaldo Sanchez-Arias |
| 2023 | Microvilli Semantic Segmentation in Microscopy Images Using a Visual Learning Pipeline. Fabricio Quirós-Corella, Reinaldo Pereira, Yendry Regina Corrales-Ureña |
| 2023 | Mitigating Model Poisoning Attacks on Distributed Learning with Heterogeneous Data. Jian Xu, Guangfeng Yan, Ziyan Zheng, Shao-Lun Huang |
| 2023 | MoEAtt: A Deep Mixture of Experts Model using Attention-based Routing Gate. Gal Blecher, Shai Fine |
| 2023 | Modeling Regularity and Predictability in Human Behavior from Multidimensional Sensing Signals and Personal Characteristics. Jingyi Gao, Runze Yan, Afsaneh Doryab |
| 2023 | Modeling Student Improvement in Tests with Multiple Attempts. Alexandra Boicu |
| 2023 | Modified Grouped Convolution-Based EfficientNet Deep Learning Architecture for Apple Disease Detection. Irfan Raiab Bhat, M. Arif Wani |
| 2023 | Multi -View Clustering Using Sparse Non-Negative Matrix Factorization for Recommendation Systems. Khalil Bachiri, Faouzi Boufarès, Maria Malek, Nicoleta Rogovschi, Ali Yahyaouy |
| 2023 | Multi-Class Text Classification Based in Oversampling for Highly Imbalanced Dataset. Dário P. Dos Santos, João P. J. da Costa, Daniel Alves da Silva, Fábio L. L. Mendonça, Carlos Eduardo Lacerda Veiga, Rafael T. de Sousa |
| 2023 | Multi-Context Dual Hyper-Prior Neural Image Compression. Atefeh Khoshkhahtinat, Ali Zafari, Piyush M. Mehta, Mohammad Akyash, Hossein Kashiani, Nasser M. Nasrabadi |
| 2023 | Multi-Factor Edge-Weighting with Reinforcement Learning for Load Balancing of Electric Vehicle Charging Stations. Lucas Hartman, Santiago Gomez-Rosero, Patrick Adjei, Miriam A. M. Capretz |
| 2023 | Multi-Label Classification of CS Papers Using Natural Language Processing Models. Zheng Zhang, Amit Das, Mostafa Rahgouy, Yida Bao, Sanjeev Baskiyar |
| 2023 | Multi-Modal Machine Learning for Navigating Noisy Objectives of Automotive Manufacturing Quality Inspection. Majid Shirazi, Georgii Safronov, Amr Rizk |
| 2023 | Multi-Modal Relational Side Information Graph Attention Networks for Recommender System. Shengzhe Jiao, Yihong Zhang, Takahiro Hara |
| 2023 | Multi-Model-Based Federated Learning to Overcome Local Class Imbalance Issues. Jiefei Liu, Huiping Cao, Abu Saleh Md Tayeen, Satyajayant Misra, Pratyay Kumar, Jayashree Harikumar |
| 2023 | Multi-Spectral Entropy Constrained Neural Compression of Solar Imagery. Ali Zafari, Atefeh Khoshkhahtinat, Piyush M. Mehta, Nasser M. Nasrabadi, Barbara J. Thompson, Michael S. F. Kirk, Daniel da Silva |
| 2023 | Multi-scale Loss based Electron Microscopic Image Pair Matching Method. Chunting Duan, Kazuhiko Komatsu, Masayuki Sato, Hiroaki Kobayashi |
| 2023 | Multitask Learning for Time Series Data with 2D Convolution. Chin-Chia Michael Yeh, Xin Dai, Yan Zheng, Junpeng Wang, Huiyuan Chen, Yujie Fan, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang |
| 2023 | Node Selection in Federated Learning Using Sparsity Regularization and Compressive Sensing. Mohammad Munzurul Islam, Mohammed Alawad |
| 2023 | NoisyDECOLLE: Robust Local Learning for SNNs on Neuromorphic Hardware. Tim Stadtmann, Benedikt Wahl, Tobias Gemmeke |
| 2023 | Novel Representation Learning Technique Using Graphs for Performance Analytics. Tarek Ramadan, Ankur Lahiry, Tanzima Z. Islam |
| 2023 | Object Detection in Pineapple Fields Drone Imagery Using Few Shot Learning and the Segment Anything Model. Fabian Fallas-Moya, Saúl Calderón Ramírez, Amir Sadovnik, Hairong Qi |
| 2023 | On Rejecting Low Quality Images to Improve Deep Smartphone Wound Assessment. Apiwat Ditthapron, Emmanuel O. Agu, Peder C. Pedersen, Clifford Lindsay, Bengisu Tulu, Diane M. Strong |
| 2023 | Optimal Asynchronous Federated Learning for the Internet of Battlefield Things (IoBT). Desta Haileselassie Hagos, Earl Tankard, Manish Bhurtel, Danda B. Rawat |
| 2023 | Optimal Transport and Contrastive-Based Clustering for Annotation-Free Tissue Analysis in Histopathology Images. Mohammed Aburidi, Roummel F. Marcia |
| 2023 | Optimizing Audio Advertising Campaign Delivery with a Limited Budget. Hichem Bannour, Kesav Kancherla, Zhen Zhu |
| 2023 | Optimizing Bus Fleet Operations for Prolonged Battery Life: A Genetic Algorithm Approach. Rajat Verma, Ankit Sharma, K. R. Sheetal Kumar, Vinoth Kumar, Nakao Ryohei, Abhishek Kumar |
| 2023 | Optimizing Multi Commodity Flow Problem Under Uncertainty: A Deep Reinforcement Learning Approach. Bulent Soykan, Ghaith Rabadi |
| 2023 | Optimizing Naval Movement Using Deep Reinforcement Learning. Joseph Coble, Armon Barton, Christian Darken, Scotty Black |
| 2023 | Orbit Propagation from Historical Data using Physics-informed Neural ODEs. Srikumar Subramanian, Roshni R. Ramnani, Shubhashis Sengupta, Sangeeta Yadav |
| 2023 | Overwater Emitter Localization with a Single Receiver using Neural Network Modeling. Maria Barger, Patrick Bidigare, D. Richard Brown, Ilana Heintz, Randy C. Paffenroth, Evan C. Witz |
| 2023 | PIPENet: A Semantic Segmentation Approach to Pipeline Component Detection from Magnetic Flux Leakage Readings. Amir Behbahanian, Ron Lundstrom, Adrian Belanger, Paul Dalfonso, Robert Coleman |
| 2023 | PLSR: Unstructured Pruning with Layer-Wise Sparsity Ratio. Haocheng Zhao, Limin Yu, Runwei Guan, Liye Jia, Junqing Zhang, Yutao Yue |
| 2023 | PS3DT: Synthetic Speech Detection Using Patched Spectrogram Transformer. Amit Kumar Singh Yadav, Ziyue Xiang, Kratika Bhagtani, Paolo Bestagini, Stefano Tubaro, Edward J. Delp |
| 2023 | Padding-Free Convolution Based on Preservation of Differential Characteristics of Kernels. Kuangdai Leng, Jeyan Thiyagalingam |
| 2023 | Parameter-Efficient Harmonic Networks for JPEG Compression Artifact Removal. Hasan Huseyin Karaoglu, Ender Mete Eksioglu |
| 2023 | Patronizing and Condescending Language Detection. Conrad Testagrose, Athlene V. Jones, Indika Kahanda |
| 2023 | Performance Improvement in Time Series Prediction through PECNET Framework. Serkan Macit, Burak Berk Üstündag |
| 2023 | Physically Informed Graph-Based Deep Reasoning Net for Efficient Combinatorial Phase Mapping. Yimeng Min, Ming-Chiang Chang, Shufeng Kong, John M. Gregoire, R. Bruce van Dover, Michael O. Thompson, Carla P. Gomes |
| 2023 | Physics-Guided Reinforcement Learning System for Realistic Vehicle Active Suspension Control. Anh N. Nhu, Ngoc-Anh Le, Shihang Li, Thang D. V. Truong |
| 2023 | Posterior Collapse in Variational Gradient Origin Networks. Peter Clapham, Marek Grzes |
| 2023 | Preferential Proximal Policy Optimization. Tamilselvan Balasuntharam, Heidar Davoudi, Mehran Ebrahimi |
| 2023 | Profiling Analysis for Enhancing the Performance of Graph Neural Networks. Cory Davis, Patrick M. Stockton, Eugene John |
| 2023 | ProtoKD: Learning from Extremely Scarce Data for Parasite Ova Recognition. Shubham Trehan, Udhav Ramachandran, Ruth Scimeca, Sathyanarayanan N. Aakur |
| 2023 | Quantifying Causes of Arctic Amplification via Deep Learning Based Time-Series Causal Inference. Sahara Ali, Omar Faruque, Yiyi Huang, Md. Osman Gani, Aneesh Subramanian, Nicole-Jeanne Schlegel, Jianwu Wang |
| 2023 | Quantitative Analysis of Forecasting Models: In the Aspect of Online Political Bias. Srinath Sai Tripuraneni, Sadia Kamal, Arunkumar Bagavathi |
| 2023 | Quantized Transformer Language Model Implementations on Edge Devices. Mohammad Wali Ur Rahman, Murad Mehrab Abrar, Hunter Gibbons Copening, Salim Hariri, Sicong Shao, Pratik Satam, Soheil Salehi |
| 2023 | RFRL Gym: A Reinforcement Learning Testbed for Cognitive Radio Applications. Daniel Rosen, Illa Rochez, Caleb McIrvin, Joshua Lee, Kevin D'Alessandro, Max Wiecek, Nhan Hoang, Ramzy Saffarini, Sam Philips, Vanessa Jones, Will Ivey, Zavier Harris-Smart, Zavion Harris-Smart, Zayden Chin, Amos Johnson, Alyse M. Jones, William C. Headley |
| 2023 | Rapid Identification of Protein Formulations with Bayesian Optimisation. Viet Huynh, Buser Say, Peter Vogel, Lucy Cao, Geoffrey I. Webb, Aldeida Aleti |
| 2023 | Raw Packet Data Ingestion with Transformers for Malicious Activity Classifications. Nitin Sharan, Thomas Quig, Eric Goodman, Yung Ryn Choe, Dalton A. Brucker-Hahn |
| 2023 | Re-identification Robustness Over Time - The Case for Synthetic Training Data. Stephan Matzke, Christian Pionzewski, Jérôme Rutinowski, Firdes Çelik, Markus König |
| 2023 | Real-Time Human Activity Classification Using Gait Cycle Averaging and Biometric Heuristics. Grant Ellison, Milla Penelope Markovic, Delaram Yazdansepas |
| 2023 | Realtime Facial Expression Recognition: Neuromorphic Hardware vs. Edge AI Accelerators. Heath Smith, James Seekings, Mohammadreza Mohammadi, Ramtin Zand |
| 2023 | Recurrent Neural Network and Convolutional Neural Network for Detection of Denial of Service Attack in Microservices. Wonjun Lee, Yung Ryn Choe, Raiat Subhra Ghosh |
| 2023 | Reinforcement Learning for Supply Chain Attacks Against Frequency and Voltage Control. Amr S. Mohamed, Sumin Lee, Deepa Kundur |
| 2023 | Relevant Instance Segmentation in American Football Practice Images to Aid Risky Tackle Detection. Nasik Muhammad Nafi, Ashley Rediger, Scott Dietrich, William H. Hsu |
| 2023 | Reliable Classification using Compact Support Probabilistic PCA. Jason Zhang, Adrian Barbu |
| 2023 | Rethinking Real Estate Pricing with Transformer Graph Neural Networks (T-GNN). Faraz Moghimi, Reid A. Johnson, Andy Krause |
| 2023 | Revisiting Knowledge Graph Embedding: An Alternative Solution to Biased Visual Scene Graphs. Sen Jia, Homa Fashandi |
| 2023 | Robotic Peg-in-Hole Insertion with Tight Clearances: A Force-based Deep Q-Learning Approach. Timo Markert, Elias Hoerner, Sebastian Matich, Andreas Theissler, Martin Atzmueller |
| 2023 | Robust Adversarial Defense by Tensor Factorization. Manish Bhattarai, Mehmet Cagri Kaymak, Ryan Barron, Ben Nebgen, Kim Ø. Rasmussen, Boian S. Alexandrov |
| 2023 | Robust Learning Under Label Noise by Optimizing the Tails of the Loss Distribution. Valeriu Balaban, Jayson Sia, Paul Bogdan |
| 2023 | Robust and Transferable Graph Neural Networks for Medical Images. Saba Heidari Gheshlaghi, Nasim Yahyasoltani |
| 2023 | SAttisUNet: UNet-like Swin Transformer with Attentive Skip Connections for Enhanced Medical Image Segmentation. Maryam Tavakol Elahi, Wonsook Lee, Philippe Phan |
| 2023 | SIGMA: A Dataset for Text-to-Code Semantic Parsing with Statistical Analysis. Saleh Almohaimeed, Shenyang Liu, May Alsofyani, Saad Almohaimeed, Liqiang Wang |
| 2023 | Scalable Federated Learning for Clients with Different Input Image Sizes and Numbers of Output Categories. Shuhei Nitta, Taiji Suzuki, Albert Rodríguez Mulet, Atsushi Yaguchi, Ryusuke Hirai |
| 2023 | Semantic Segmentation Using Transfer Learning on Fisheye Images. Sneha Paul, Zachary Patterson, Nizar Bouguila |
| 2023 | Semi-Supervised Graph Learning Meets Dimensionality Reduction. Alex Morehead, Watchanan Chantapakul, Jianlin Cheng |
| 2023 | Semi-Supervised Learning Based Femur Segmentation from QCT Images. Jamalia Sultana, Mashiyat Nayeem, Mahmuda Naznin, Tanvir R. Faisal |
| 2023 | Semi-Supervised Learning Using Sparsely Labelled Sip Events for Online Hydration Tracking Systems. Avirup Roy, Hrishikesh Dutta, Amit Kumar Bhuyan, Subir Kumar Biswas |
| 2023 | Semmeldetector: Application of Machine Learning in Commercial Bakeries. Thomas H. Schmitt, Maximilian Bundscherer, Tobias Bocklet |
| 2023 | Sentence Embedding with Named Entities for Conversation Fingerprint. Nadir Debbagh, Sébastien Warichet, Emmanuel Helbert, Asma Trabelsi |
| 2023 | Sequentia12D: Organizing Center of Skip Connections for Transformers. Harsh Nilesh Pathak, Randy C. Paffenroth, Quincy Hershey |
| 2023 | Shapelet-Preserving Bootstrapping For Time Series Data Augmentation. Omar Bahri, Peiyu Li, Pouya Hosseinzadeh, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi |
| 2023 | Solving the Electricity Technician Dispatch Problem. Mehdi Sadeghilalimi, Malek Mouhoub, Haifa Zaidi, Aymen Ben Said |
| 2023 | StitchNet: Composing Neural Networks from Pre-Trained Fragments. Surat Teerapittayanon, Marcus Z. Comiter, Bradley McDanel, H. T. Kung |
| 2023 | Stochastic Learning Manipulation of Object Pose With Under-Actuated Impulse Generator Arrays. Chuizheng Kong, William Yerazunis, Daniel Nikovski |
| 2023 | SwinFVC: A Swin Flow Video Colorization Example-Based Method. Leandro Stival, Ricardo da Silva Torres, Hélio Pedrini |
| 2023 | Symbolic-Based Recurrent Neural Networks for Metamodeling of Nonlinear Structural Models. Yiming Jia, Mehrdad Sasani |
| 2023 | TA-SAITS: Time Aware-Self Attention based Imputation of Time Series algorithm for Partially Observable Multi -Variate Time Series. Ankit Sharma, Thiruvengadam Samon, Akhash Vellandurai, Vinoth Kumar |
| 2023 | Temporal-Based Action Graph with Sequential Pattern Mining for ChuRN Detection: a Playtika Case Study. Dan Halbersberg, Roni Yasinnik, Matan Halevi, Moshe Salhov |
| 2023 | The Effectiveness of Machine Learning to Estimate the Risk of Failure in Brazilian Public Contracts. Talita Lôbo de Menezes, Nazareno Ferreira de Andrade, Fábio Jorge Almeida Morais |
| 2023 | The Impact of Racial Disparities on Prenatal Care Adequacy: An Algorithmic Fairness Perspective. Motahareh Pourbehzadi, Moez Farokhnia Hamedani, Giti Javidi, Kimberly Johnson |
| 2023 | The Potential of Vision-Language Models for Content Moderation of Children's Videos. Syed Hammad Ahmed, Shengnan Hu, Gita Sukthankar |
| 2023 | Time Efficient Micro-Expression Recognition Using Weighted Spatio-Temporal Landmark Graphs. Nikin Matharaarachchi, Muhammad Fermi Pasha, Sonya Coleman, Dermot Kerr |
| 2023 | Toward Scene Understanding with Depth and Object-Aware Clustering in Contested Environment. Manish Bhurtel, Yuba Raj Siwakoti, Danda B. Rawat, Brian M. Sadler, John M. Fossaceca, Daniel O. Rice |
| 2023 | Towards Augmentation Based Defense Strategies Against Adversarial Attacks. Rosina F. Kharal |
| 2023 | Towards Few-Shot Time Series Anomaly Detection with Temporal Attention and Dynamic Thresholding. Chandana Priya Nivarthi, Bernhard Sick |
| 2023 | Towards Graph-Based Semi-Supervised Learning on Audio Embeddings for Label Classification. Rishabh Chandaliya, Mohan Timilsina, John G. Breslin, Martin Serrano |
| 2023 | Towards Privacy Preserving Financial Fraud Detection. Stephanie Abanilla, Moitrayee Chatterjee, Shuvalaxmi Dass |
| 2023 | Towards Safe Online Machine Learning Model Training and Inference on Edge Networks. Md. Al Maruf, Akramul Azim, Nitin Auluck, Mansi Sahi |
| 2023 | Towards the Diagnosis of Heart Disease Using an Ensemble Learning Approach. Zheng Zhang, Liangliang Xu, Yida Bao, Sanjeev Baskiyar |
| 2023 | Towards the Semantic Interpretation of Arbitrary Traffic Signs: Semantic Parsing for Action-oriented Signs. Sasha Strelnikoff, Jiejun Xu, Alireza Esna Ashari |
| 2023 | Trading-Off Mutual Information on Feature Aggregation for Face Recognition. Mohammad Akyash, Ali Zafari, Nasser M. Nasrabadi |
| 2023 | TransGlow: Attention-augmented Transduction model based on Graph Neural Networks for Water Flow Forecasting. Naghmeh Shafiee Roudbari, Charalambos Poullis, Zachary Patterson, Ursula Eicker |
| 2023 | TransNet: A Transfer Learning-Based Network for Human Action Recognition. Khaled Alomar, Xiaohao Cai |
| 2023 | Transfer Distance and Operating Envelopes to Detect Non-Stationarity in Cyber Environments. Stephen C. Adams, Tyler Cody, Ramin Salman Roughani, Peter A. Beling |
| 2023 | Transferable Graph Neural Fingerprint Models for Quick Response to Future Bio-Threats. Wei Chen, Yihui Ren, Ai Kagawa, Matthew R. Carbone, Samuel Yen-Chi Chen, Xiaohui Qu, Shinjae Yoo, Austin Clyde, Arvind Ramanathan, Rick L. Stevens, Hubertus Van Dam, Deyu Lu |
| 2023 | Tropical Cyclone Intensity Forecasting Using Deep Learning. Rose Atuah, Martin Pineda, Daniel McKirgan, Qianlong Wang, Michael P. McGuire |
| 2023 | Truth Seeker of the Largest Social Media Content using Machine Learning Algorithms. Maysa Khalil, Mohammad Azzeh |
| 2023 | Two Efficient Training Strategies for DyDaSL: A Dynamic Data Stream Learner Framework with Semi-Supervised Learning. Arthur C. Gorgônio, Anne M. P. Canuto, Arthur Medeiros, Karliane M. O. Vale, Flavius L. Gorgônio |
| 2023 | UNF-IDT: Automated Irony Detection in English Tweets. Guna Sekaran Jaganathan, Grentina Kilungeja, Indika Kahanda |
| 2023 | Uncertainty Quantification for Deep Learning Models Predicting the Regulatory Activity of DNA Sequences. Hüseyin Anil Gündüz, Sheetal Giri, Martin Binder, Bernd Bischl, Mina Rezaei |
| 2023 | Unveiling the Potential of Deep Learning Models for Solar Flare Prediction in Near-Limb Regions. Chetraj Pandey, Rafal A. Angryk, Berkay Aydin |
| 2023 | User-Centric Synthetic Road Network Generation Using Graph Neural Networks and Graph Autoencoders. Ibrahim Shoer, Gihad N. Sohsah, Merih Oztaylan, Zeina Termanini |
| 2023 | Utilizing Machine Learning Techniques in Predicting Job Viability of Information Technology Program Graduates. Caesar Jude Clemente |
| 2023 | Utilizing Machine Learning to Enhance Profit Generation from Technical Trading Rules in Portfolio Construction within the Stock Exchange of Thailand. Thummachart Sunksuwan, Thidarat Yukoet, Rattanakorn Sadakorn, Thannawat Wongwatanakul, Rattanaporn Fakon, Viet Tinh Nguyen, Rujira Chaysiri |
| 2023 | Vector Representation for Business Process: Graph Embedding for Domain Knowledge Integration. Thais Rodrigues Neubauer, Jari Peeperkorn, Sarajane Marques Peres, Jochen De Weerdt, Marcelo Fantinato |
| 2023 | VidSearch: Privacy-by-Design Video Search and Retrieval System for Large-Scale CCTV Data. Mehwish Tahir, Yuansong Qiao, Nadia Kanwal, Brian Lee, Mamoona Naveed Asghar |
| 2023 | Vision Transformer-based Classification for Lung and Colon Cancer using Histopathology Images. Munjur Hasan, Md Saifur Rahman, Sabrina Islam, Tanvir Ahmed, Nafiz Rifat, Mostofa Ahsan, Rahul Gomes, Md Minhaz Chowdhury |
| 2023 | W3Detector: Detecting Fraudulent Online Sellers Based on Temporal and Spacial Information. Shengbo Tong, Yuyang Xie, Shenghua Liu, Wenjian Yu, Jixuan Cai |
| 2023 | Weak Supervision for Question and Answering Sentiment Analysis. Victor Akihito Kamada Tomita, Fábio Manoel França Lobato, Ricardo Marcondes Marcacini |
| 2023 | What Factors Influence the Popularity of User-Generated Text in the Creative Domain? A Case Study of Book Reviews. Salim Sazzed |
| 2023 | Will Poppy Fall? Predicting Robot Falls in Advance Based on Visual Input. Borui He, Garrett E. Katz |
| 2023 | Wind Turbine Generator Bearing Anomaly Detection and Explanation Using RRCF Approach. Raubertin Randrianandraina, Julien Chapuy, Lala H. Rajaoarisoa, Moamar Sayed-Mouchaweh |
| 2023 | Word class representations spontaneously emerge in a deep neural network trained on next word prediction. Kishore Surendra, Achim Schilling, Paul Stoewer, Andreas Maier, Patrick Krauss |
| 2023 | XLNet4Rec: Recommendations Based on Users' Long-Term and Short-Term Interests Using Transformer. Namarta Vij, Aznam Yacoub, Ziad Kobti |
| 2023 | XTSC-Bench: Quantitative Benchmarking for Explainers on Time Series Classification. Jacqueline Höllig, Steffen Thoma, Florian Grimm |
| 2023 | Zero-Shot Information Extraction with Community-Fine-Tuned Large Language Models From Open-Ended Interview Transcripts. Nazmul Kazi, Indika Kahanda, S. Indu Rupassara, John W. Kindt |