| 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 | 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 | 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 | Fairness-Aware Model Selection Using Differential Item Functioning. | Diego Minatel, Antonio Rafael Sabino Parmezan, Mariana Curi, Alneu de Andrade Lopes |
| 2023 | The Effectiveness of Machine Learning to Estimate the Risk of Failure in Brazilian Public Contracts. | Talita Lbo de Menezes, Nazareno Ferreira de Andrade, Fbio Jorge Almeida Morais |
| 2023 | Automated Machine Learning Based Triage for Decision Support in Clinical and Urgent Care. | Jose M. Ruiz Mejia, Danda B. Rawat |
| 2023 | Dynamic Patch Sampling for Efficient Training and Dynamic Inference in Vision Transformers. | Bradley McDanel, Chi Phuong Ngoc Huynh |
| 2023 | Evaluating Adversarial Robustness with Expected Viable Performance. | Ryan McCoppin, Colin Dawson, Sean M. Kennedy, Leslie M. Blaha |
| 2023 | Re-identification Robustness Over Time - The Case for Synthetic Training Data. | Stephan Matzke, Christian Pionzewski, Jrme Rutinowski, Firdes elik, Markus Knig |
| 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 | Time Efficient Micro-Expression Recognition Using Weighted Spatio-Temporal Landmark Graphs. | Nikin Matharaarachchi, Muhammad Fermi Pasha, Sonya Coleman, Dermot Kerr |
| 2023 | Hybrid Quantum-Classical Machine Learning for Sentiment Analysis. | Abu Kaisar Mohammad Masum, Anshul Maurya, Dhruthi Sridhar Murthy, Pratibha, Naveed Mahmud |
| 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 | Exploring the Faithfulness of Synthetic Data by Generative Models. | Fiammetta Marulli, Pierluigi Paganini, Fabio Lancellotti |
| 2023 | Towards Safe Online Machine Learning Model Training and Inference on Edge Networks. | Md. Al Maruf, Akramul Azim, Nitin Auluck, Mansi Sahi |
| 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 | 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 | 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 | Identification of Adipogenic and Osteogenic Differentiation using transfer learning of ResNet-18. | Maxwell Mai, Shuai Luo, Shue Wang, Yulei Pang |
| 2023 | Performance Improvement in Time Series Prediction through PECNET Framework. | Serkan Macit, Burak Berk stndag |
| 2023 | Breaking the Limits of Scanning Tunneling Microscopy Using Image Super Resolution. | Rockwell T. Li, Shashika Wijerathna, Yuan Zhang |
| 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 | Investigation of Racial Bias in Property Crime Prediction by Machine Learning Models. | Alexander Li, Mikhail Y. Shalaginov, Andrew Tao, Tingying Helen Zeng |
| 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 | Efficient CNN-LSTM Based Parameter Estimation of Lvy Driven Stochastic Differential Equations. | Shuaiyu Li, Yang Ruan, Changzhou Long, Yuzhong Cheng |