| 2025 | Offline Reinforcement Learning Benchmark for Variable Speed Limit Control with Real-World Dataset. | Yuhang Zhang, Zhiyao Zhang, Marcos Quiones-Grueiro, William Barbour, Gautam Biswas, Daniel B. Work |
| 2025 | MADE-PI: Framework for Effective Anomaly Detection in Federated Learning Applications. | Raman Zatsarenko, Sergei Chuprov, Dmitrii Korobeinikov, Leon Reznik, Adrian Pea |
| 2025 | Uncertainty-Guided Learning for Semantic Segmentation in CT using Noisy Pseudo Labels. | Austin Yunker, Peter Kenesei, Hemant Sharma, Jun-Sang Park, Antonino Miceli, Rajkumar Kettimuthu |
| 2025 | iDiffODE: Learning Continuous-Time Latent Dynamics for Generative Spatiotemporal Modeling. | Sai Deepthi Yeddula, Abhijeet Bhattacharya, Chen Jiang |
| 2025 | Fusing Camera and Electromyography Data for Enhanced Range of Motion Assessment. | Xuke Yan, Bo Liu, Jinzhao He, Guangzhi Qu |
| 2025 | Real-Time Remaining Useful Life Prediction with LSTM Priority Resampling. | Tori Wright, Bulent Soykan, Sean C. Mondesire |
| 2025 | Detecting Sliver DNS Command and Control (C2) Beaconing Using LSTM Neural Networks. | Robert D. Ward, Xinyuan Wang |
| 2025 | Perception-based multiplicative noise removal with Diffusion models. | An Vuong, Thinh Nguyen |
| 2025 | Return-to-Work Classification of Occupational Injury Claims via Rank-Ordering. | Gonzalo A. Vivian, Chelsea M. Zuvieta, Taghi M. Khoshgoftaar |
| 2025 | Genotype-to-Phenotype Associations in Yeast with Frequented Region Variants and Deep Learning. | Tejaswi Vemuri, Trung Dinh, Zonglin Yang, Thiruvarangan Ramaraj, Joann Mudge, Brendan Mumey, Indika Kahanda |
| 2025 | CAMP-HiVe: Cyclic Pair Merging based Efficient DNN Pruning with Hessian-Vector Approximation for Resource-Constrained Systems. | Mohammad Helal Uddin, Sai Krishna Ghanta, Liam Seymour, Sabur Baidya |
| 2025 | An Empirical Study on the Application of TDA to Deep Neural Networks. | Tyler Trogden, Dan Ventura |
| 2025 | ShelfRectNet: Single View Shelf Image Rectification with Homography Estimation. | Onur Berk Tore, Ibrahim Samil Yaliner, Server Calap |
| 2025 | A New Federated Learning Approach for Imbalanced Medical Image Datasets. | Aniruddha Tiwari, Zhen Ni, Xiangnan Zhong, Ahmed Imteaj |
| 2025 | SkewFuse: Unsupervised Confidence-Guided Rank Fusion for Multi-View Image Retrieval. | Enis Teper, Mustafa Keskin, Emre Renberoglu, Yusuf Hseyin Sahin |
| 2025 | Robot Learning Framework using Behavioral Cloning and Gaussian Mixture Model (BC-GMM) for Sorting Tasks. | Hambal Tella, Prajyot Patil, Maria Kyrarini |
| 2025 | Information Theoretic Threshold Tuning in Parallel Stochastic Quantizer Architectures ∗. | Hassan Tavakoli, Thinh Nguyen, Bella Bose |
| 2025 | Unitary Vision: Deep Learning with Information Decorrelation for Signal Reconstruction. | Steven Tate, Randy C. Paffenroth |
| 2025 | Meta-TTT: A Meta-learning Minimax Framework For Test-Time Training. | Chen Tao, Li Shen, Soumik Mondal |
| 2025 | Retrieval-Augmented Multi-Agent System for Rapid Statement of Work Generation. | Amulya Suravarjhula, Rashi Chandrashekhar Agrawal, Sakshi Jayesh Patel, Rahul Gupta |
| 2025 | Optimizing Equitable Access to Opportunities within Salesforce Networks using Reinforcement Learning-Driven Graph Augmentation. | Sharan Sukesh |
| 2025 | DeepTime: Meta-Learning Temporal Dynamics for Salesforce Opportunity Forecasting. | Sharan Sukesh |
| 2025 | Multi-Agent Behavior Cloning for Modeling Realistic Adversaries in Air Combat Simulations. | Andreas Strand, Karsten Brathen, Martin Asprusten, Patrick Gorton |
| 2025 | Guided and Unguided Conditional Diffusion Mechanisms for Structured and Semantically-Aware 3D Point Cloud Generation. | Gunner Stone, Sushmita Sarker, Alireza Tavakkoli |
| 2025 | Point-RTD: Replaced Token Denoising for Pretraining Transformer Models on Point Clouds. | Gunner Stone, Youngsook Choi, Alireza Tavakkoli, Ankita Shukla |