| 2025 | LLM-Based Synthetic Tabular Data Generation and Curation for Privacy-Sensitive Scientific Applications. | Kirill Rapatskikh, Dmitrii Kuznechenko, Mark Permyakov, Aleksander Boukhanovsky, Anna V. Kaluzhnaya |
| 2025 | Prototype-Based Learning for Healthcare: A Demonstration of Interpretable AI. | Ashish Rana, Ammar Shaker, Sascha Saralajew, Takashi Suzuki, Kosuke Yasuda, Shintaro Kato, Toshikazu Wada, Toshiyuki Fujikawa, Toru Kikutsuji |
| 2025 | Cloud Cost Optimization with Data Storytelling. | Om Rai, Uday Chandra Bhookya, Kunal Jethuri, Raja Babu, Maitreya Natu |
| 2025 | Identifying Novel CAN Bus Attack Types at Runtime. | Sumaita Sadia Rahman, Caio Batista de Melo |
| 2025 | Cost-Sensitive Machine Learning for Imbalanced Ride Demand Prediction. | Md. Mujibur Rahman, Md. Mehedi Hasan, Quazi Mamun, Jun Wu, Mohammad Rana |
| 2025 | A Game-Theoretic Foundation Framework for Query Strategy Optimization in Interactive Healthcare Information Retrieval. | Mohammad Ishtiaque Rahman, Md Razuan Hossain, Forhan Bin Emdad, S. M. Zobaer Alam, S. M. Sayem, Albina Alam, Kazi Saiful Islam |
| 2025 | A Benchmark and Optimization Framework for ML and LLM-Based Health Triage. | Md. Jobayer Rahman, Shamim Ahamed, Fahim Faisal Deepto, Marzia Zaman, Ashraful Islam, Farhana Sarker, Khondaker Abdullah Al Mamun |
| 2025 | ATT&CK to CVE: A Large-Scale Automated Knowledge Graph for Threat Intelligence. | Moqsadur Rahman, Monika Akbar, Joseph T. Aguayo, Mahmud Shahriar Hossain, Tina M. Ellis, Siddhartha Shankar Das, Mohammad Fakhruddin Babar, Monowar Hasan, Aaron Sanchez, Luis Fernando Lago-Fernndez, Mahantesh Halappanavar |
| 2025 | Proposing a Framework for Machine Learning Adoption on Legacy Systems. | Ashiqur Rahman, Hamed Alhoori |
| 2025 | Identifying Fake Audio Using Social Media Metadata and Audio Features. | Nirvan Ragoonath, Pryia Lackhan, Akash Bedasie, Amit Neil Ramkissoon, Kris Manohar |
| 2025 | UP-Bern: A Unified Progressive Transition Framework for Biomedical Entity Recognition and Normalization. | Yanlong Qiu, Canqun Yang, Siqi Wang |
| 2025 | Reasoning Over User Preferences: Knowledge Graph-Augmented LLMs for Explainable Conversational Recommendations. | Zhangchi Qiu, Linhao Luo, Shirui Pan, Alan Wee-Chung Liew |
| 2025 | SIFT: Scene-Imagination-Based Feature Reweighting. | Jiayi Qiu |
| 2025 | Interpretable and Interactive Deep Survival Analysis with Time-dependent EXtreme Gradient Integration. | Xinyu Qin, Ruiheng Yu, Armin Khayati, Zixiao Qiu, Gengyi Zou, Yan Li, Lu Wang |
| 2025 | Adaptive Calibrated Doubly Robust Estimators for Debiased Recommendation. | Shuqi Qin, Yitong Liu, Xiaoqian Liu |
| 2025 | Enhancing Counterfactual Explanations with Feasibility and Diversity. | Xinyu Qin, Siyi Li, Yiyu Cai, Lu Wang |
| 2025 | Lost in Transcription: Influence of Dialect on Whisper's Performance. | Helen T. Qin |
| 2025 | A Cross-Cultural Comparison of LLM-Based Public Opinion Simulation: Evaluating Chinese and U.S. Models on Diverse Societies. | Weihong Qi, Fan Huang, Jisun An, Haewoon Kwak |
| 2025 | Measuring and Mitigating Gender Entropy Bias in Large Language Models. | Sonal Prabhune, Balaji Padmanabhan, Kaushik Dutta |
| 2025 | Accelerating Deep-Learning Applications with Efficient Tensor Layout Management. | Keenan Powell, Rubayet Rongon, Xiaokun Yang, Xuechen Zhang |
| 2025 | PyClust: Building Meta-Learning Repositories for Clustering. | Yannis Poulakis, Dimitris Petratos, Christos Doulkeridis |
| 2025 | Building Self-Awareness of LLMs Over Weight Quantization. | Alexander Poon, Zhaozhuo Xu |
| 2025 | A Reproducible Approach to Virtual Metrology. | Jimmy Phlmann, Anna Lopatkina, Paul Jungmann, Claudio Hartmann, Wolfgang Lehner |
| 2025 | Adaptive Execution Scheduler for DataDios SmartDiff. | Aryan Poduri |
| 2025 | Exploring the In-Context Learning Capabilities of LLMs for Money Laundering Detection in Financial Graphs. | Erfan Pirmorad |