| 2025 | DelayNetODE: Delay-Aware System Modelling Using Graph Attention and Continuous-Time Neural Dynamics. | Saumya Karunadhika, Ling Luo, Bastian Oetomo, Michele Discepola, Sandra Kentish, Sally Gras, Uwe Aickelin |
| 2025 | PULSE - Polling Using LLM-based Sentiment Extraction. | Christos Karanikolopoulos, Panagiotis Papadakos, Panayiotis Tsaparas |
| 2025 | From Explainability to Action: A Generative Operational Framework for Integrating XAI in Clinical Mental Health Screening. | Ratna Kandala, Akshata Kishore Moharir, Divya Arvinda Nayak |
| 2025 | Explainable Digital Pathology: Interpreting Childhood Cancer Risk from Blood and Urine Tests. | Md Sarwar Kamal, Sonia Farhana Nimmy, Madhumita Abhijeet Takalkar, Reza Rafeh, Mohammad Shohelur Rahman |
| 2025 | An Interpretable Federated Learning Framework for Secure Genomics. | Md Sarwar Kamal, Sonia Farhana Nimmy, Md. Rafiqul Islam, Quazi Mamun, Jun Wu |
| 2025 | Quantum-Based Data Structure for Medical Image Encoding. | Md Sarwar Kamal, Sonia Farhana Nimmy, Linkon Chowdhury, Ripon K. Chakrabortty |
| 2025 | AI-Assisted Safe Drop Zone Identification for Human-Guided Drone Deliveries. | Atharva Kakatkar |
| 2025 | LLM-Enhanced Semantic Clustering for Predictive Industrial Incident Detection: A Zero-Shot Approach to Safety Analytics. | Magzhan Kairanbay, Sayed Ahmed Khalaf, Ali Alshehab, Basaveswar Reddy Mora Reddy, Ahmed Bahar |
| 2025 | Contrastive Retrieval Augmented in-Context Learning for Medical Classification Tasks with Imbalanced Data. | Swarnika Joshi, Kshitij S. Jadhav |
| 2025 | A Comparative Study of Classical and Quantum Support Vector Machines for Multimodal Oral Cancer Detection. | Nipun Joshi, Sanchit Baweja, Sandeep Kumar, Vikrant Shokeen, Amit Sharma, Vijeet Gahlawat |
| 2025 | Enhancing Explainability in Solar Energetic Particle Event Prediction: A Global Feature Mapping Approach. | Anli Ji, Pranjal Patil, Chetraj Pandey, Manolis K. Georgoulis, Berkay Aydin |
| 2025 | Contrastive Ensemble Active Learning for Data Quality Improvements for Resilient Manufacturing AI Model Prediction. | Xuancheng Jin, Yingyan Zeng, Hui Liu, Ran Jin |
| 2025 | Interactive 3D Spine Modeling for Enhanced Doctor-Patient Communication and Health Literacy. | Christian Shun Jin, Stanley Zhan |
| 2025 | EEG EyeNet: Strong, Insightful Baselines for Eye-Movement Prediction from EEG. | Christian Shun Jin, Xiaodong Qu |
| 2025 | Integrating Vision Language, and Actions in Optical Inspections to Enable Closed-Loop Defect Identification and Remediation. | Xiaodong Jia, Tarek Yahia, Kody Haubeil, David Siegel, Donald Davis |
| 2025 | Privatar: A Privacy-Preserving Framework for LLM Agents. | Runyang Jian, Zunhao Zhu, Yujia Shang, Yangbo Shen, Kunpeng Liu |
| 2025 | CLMC: Code-Level Metacognition for LLM Agents. | Runyang Jian, Yujia Shang, Zunhao Zhu, Kunpeng Liu, Chongyu Bao, Xiaolan Liu |
| 2025 | Performance Evaluation of Convolutional Neural Networks in Image-Based Malware Classification. | Raymond Jiang, Abdullah Irfan Siddiqui, Srijit Bhattacharya, Mohammad Husain |
| 2025 | Towards Propagation-Aware Representation Learning for Supervised Social Media Graph Analytics. | Wei Jiang, Tong Chen, Wei Yuan, Xiangyu Zhao, Quoc Viet Hung Nguyen, Hongzhi Yin |
| 2025 | LLM-Enhanced, Data-Driven Personalized and Equitable Clinician Scheduling: A Predict-Then-Optimize Approach. | Anjali Jha, Wanqing Chen, Maxim Eckmann, Ian Stockwell, Jianwu Wang, Kai Sun |
| 2025 | Forecasting Source Stability in Scientific Experiments Using Temporal Learning Models: A Case Study from Tritium Monitoring. | Nicholas Tan Jerome, Nadia Aouadi, Christoph Khler, Suren Chilingaryan, Andreas Kopmann |
| 2025 | Automated 3D Wound Segmentation Using UV Based Feature Extraction and Deep Learning. | Jeffrey Jenkins, Jonathan Nguyen, Lin-Ching Chang, Salam Daher |
| 2025 | SBAN: A Framework & Multi-Dimensional Dataset for Large Language Model Pre-Training and Software Code Mining. | Hamed Jelodar, Mohammad Meymani, Samita Bai, Roozbeh Razavi-Far, Ali A. Ghorbani |
| 2025 | SBAN: A Framework & Multi-Dimensional Dataset for Large Language Model Pre-Training and Software Code Mining. | Hamed Jelodar, Mohammad Meymani, Samita Bai, Roozbeh Razavi-Far, Ali A. Ghorbani |
| 2025 | EM-Based Transfer Learning for Gaussian Causal Models Under Covariate and Target Shift. | Mohammad Ali Javidian |