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| 2025 | Trustworthy AI for Spatio-Temporal Forecasting via Counterfactual Causality. | Aya Ferchichi, Ali Ben Abbes, Vincent Barra, Imed Riadh Farah |
| 2025 | Dual-Channel Disentangled Contrastive Learning with Adaptive Spatio-Temporal Encoding for POI Recommendation. | Yongxuan Feng, Binlu Yan, Zhanquan Wang |
| 2025 | Visual Change Detection and Policy Learning for Adaptive Autonomous Navigation. | Zhunyi Feng, Akshay Narayan |
| 2025 | Formalizing Simple Natural Language Arguments Using Abstract Meaning Representation and Approximate Propositional Reasoning. | Xuyao Feng, Anthony Hunter |
| 2025 | Explainability of CNN Based Classification Models for Acoustic Signal. | Zubair Faruqui, Mackenzie S. McIntire, Rahul Dubey, Jay McEntee |
| 2025 | Deep Learning-Based Segmentation for Mapping Backyard Poultry in Canada. | Mina Khoshbazm Farimani, Neil D. B. Bruce, Shayan Sharif, Rozita A. Dara |
| 2025 | Learning Hierarchical Moral Foundations for Interpretable Toxic Intent Classification via Weighted Probabilistic Soft Logic. | Tope Christopher Christopher Falade, Nitin Agarwal |
| 2025 | Multimodal Deep Learning for Alzheimer's Disease Classification: A Practical Fusion Framework for Clinical Deployment. | Zakaria O. Elghazzali, Chen Zhao, Kewei Chen, Lingtao Chen, Bobin Deng, Kazi Fahim Ahmad Nasif, Yixin Xie |
| 2025 | Optimizing Container-Based Microservice Scheduling with Parallel Particle Swarm Based on Diversity Indicators. | Maroua Douiri, Imen Ben Mansour, Moncef Tagina |
| 2025 | MedREX: A Dual-Biaffine Attention and Feature-Enhanced Joint Model for Chinese Medical Entity-Relation Extraction. | Wenhao Ding, Xudong Luo |
| 2025 | An Extension of the Evidential Neural Network Classifier based on Contextual Discounting. | Serigne Mamadou Diene, Sbastien Ramel, Frdric Pichon, David Mercier |
| 2025 | MedESM: Improving Clinical Note Readability with a Lightweight Structured Summarization Language Model. | Eduardo Dias, Andr Luiz Pilastri, Artur Ferreira, Bruno Lemos, Paulo Cortez |
| 2025 | External Visual Memory with Autoencoder-Based Intrinsic Motivation for Reinforcement Learning Under Partial Observability. | Burak Han Demirbilek, Alper Demir, Faruk Polat |
| 2025 | Spectral Representation Learning in Color Space for Deforestation Mapping with Limited Supervision. | Bibek Das, Asfak Ali, Srijan Roy, Sheza Anam, Khalifa Djemal, Sheli Sinha Chaudhuri |
| 2025 | Exploration of Few-Shot Learning with the Constrained State-Preserved Extreme Learning Machine. | Tyson Dancy, Michail S. Alexiou, Garrett Goodman |
| 2025 | A Framework for Hybrid Set-Theoretic and Numerical Problem Solving. | Daniel Crowley, Daniel Le Berre, Olivier Roussel, Yakoub Salhi |
| 2025 | Modeling OCL Collection Types and Type Casting Using Constraint Programming. | Matthew Coyle, Samir Loudni, Tho Le Calvar, Massimo Tisi |
| 2025 | Modeling and Predicting Machine Learning Performance. | Julio Corona, Rafael Teixeira, Mrio Antunes, Rui L. Aguiar |
| 2025 | Time Series Training Subsequences Detection to Optimize Machine Learning Prediction. | Pantelis Chronis, Giorgos Giannopoulos, Spiros Skiadopoulos |
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| 2025 | PTPRank: Pre-Trained Prompt for Unsupervised Keyphrase Extraction. | Yao Chiyang, Zhilong Shan, Zhengyang Wu, Hu Xiaoyong, Mu Su |
| 2025 | Every Character Counts: From Vulnerability to Defense in Phishing Detection. | Maria Chiper, Radu Tudor Ionescu |