| 2025 | Label-Guided Imputation via Forest-Based Proximities for Improved Time Series Classification. | Jake S. Rhodes, Adam G. Rustad, Sofia Pelagalli Maia, Evan Thacker, Hyunmi Choi, Jose Gutierrez, Tatjana Rundek, Ben Shaw |
| 2025 | Localized Uncertainty Quantification in Random Forests via Proximities. | Jake S. Rhodes, Scott D. Brown, J. Riley Wilkinson |
| 2025 | Integrating Prior Observations for Incremental 3D Scene Graph Prediction. | Marian Renz, Felix Igelbrink, Martin Atzmueller |
| 2025 | Comparative Analysis of Defense Approaches against Adversarial Attacks on Remote Sensing Applications. | Sanjaykrishnan Ravikumar, Ravi Kumar Rogannagari, Md. Jahirul Islam, Kazi Aminul Islam |
| 2025 | Oracle-Guided Soft Shielding for Safe Move Prediction in Chess. | Prajit T. Rajendran, Fabio Arnez, Huscar Espinoza, Agns Delaborde, Chokri Mraidha |
| 2025 | Attr-RAG: Attribution-Guided Retrieval-Augmented Generation for Scientific Experiment Design. | Fazle Rahat, M. Shifat Hossain, Arvind Ramanathan, Sumit Kumar Jha, Hao Zheng, Rickard Ewetz |
| 2025 | Edu-EmotionNet: Cross-Modality Attention Alignment with Temporal Feedback Loops. | S. M. Rafiuddin |
| 2025 | Kolmogorov-Arnold Networks in Low-Data Regimes: A Comparative Study with Multilayer Perceptrons. | Farhad Pourkamali-Anaraki |
| 2025 | Applying Machine Learning to Classify Automobile Repossession Success. | Preston Billion-Polak, Andy Sinclair, Taghi M. Khoshgoftaar |
| 2025 | EdgeProfiler: A Fast Profiling Framework for Lightweight LLMs on Edge Using Analytical Model. | Alyssa Pinnock, Shakya Jayakody, Kawsher A. Roxy, Md Rubel Ahmed |
| 2025 | Solving Math Word Problems Using Estimation Verification and Equation Generation. | Mitchell Piehl, Dillon Wilson, Ananya Kalita, Jugal Kalita |
| 2025 | EDLAD: Ensemble Deep Learning for Alzheimer's Disease Detection using Brain EEG Signals. | An T. T. Phan, Xingquan Zhu |
| 2025 | Federated Boolean Matrix Factorization Using Integer Programming. | Duy Nhat Phan, Quynh Anh Nguyen, Thuy Ngoc Nguyen |
| 2025 | Adaptive von Mises-Fisher Likelihood Loss for Supervised Deep Time Series Hashing. | Juan Manuel Perez, Kevin Garcia, Brooklyn Berry, Dongjin Song, Yifeng Gao |
| 2025 | BEACON: Behavioral Malware Classification with Large Language Model Embeddings and Deep Learning. | Wadduwage Shanika Perera, Haodi Jiang |
| 2025 | Improving Long-Term HDD RUL Prediction Using a Novel Feature Engineering Approach. | Francisco Lucas Falcao Pereira, Victor A. E. de Farias, Felipe T. Brito, Joo Paulo Pordeus Gomes, Javam C. Machado |
| 2025 | Can a Machine Learning Model Consistently Learn Profitable Trading Strategies in the Forex Market? | Ethan Pedersen, Jacob W. Crandall |
| 2025 | Automated Feature Engineering for Contextual Bandits via AATention Transfer Learning. | Ethan Pedersen, Jacob W. Crandall |
| 2025 | LLMZ+: Contextual Prompt Whitelist Principles for Agentic LLMs. | Tom Pawelek, Raj Patel, Charlotte Crowell, Noorbakhsh Amiri Golilarz, Sudip Mittal, Shahram Rahimi, Andy Perkins |
| 2025 | Reconstruction-Free Classification for Lensless Imaging Systems. | Pramil Paudel, Fengjun Li |
| 2025 | Adaptive Kernel Selection: Performance Pattern Analysis Across Network Depth Hierarchies and Dataset Complexities. | Areen Patil, Rehaan Kadhar |
| 2025 | Influence of Stratified Variable Encoding on Quality of Mortality Prediction in Systolic Heart Failure. | Bhumi Patel, Lemba Priscille Ngana, Atefehsadat Haghighathoseini, Janusz Wojtusiak |
| 2025 | Heterogeneous Time Series Anomaly Detection in Cyber-Physical Systems with VAEM-LSTMs. | Lekha Patel, Shamina Hossain-McKenzie |
| 2025 | LLM Chatbot for Autonomous User Support in High-Performance Computing (HPC). | Rajesh Pasupuleti, Ravi Vadapalli, Christopher Mader, Subhan Shakoor |
| 2025 | Leveraging Anatomical Guidance: A Novel Attention Mechanism for Pedestrian Detection. | Hongbo Pang, Changcheng Huang |