| 2025 | Contrastive Learning for Correlating Network Incidents. | Jeremias Dtterl |
| 2025 | Mitigating Class Imbalance in Multiclass Educational Data: A Hybrid One-vs-One and Density-Based Resampling Approach. | John-Bosco Diekuu, Mahammad Shareef Mekala, John P. Isaacs, Eyad Elyan |
| 2025 | Anomaly Detection in Wind Turbine Gearbox Vibrations Using Actor-Critic Reinforcement Learning and Bayesian Optimization. | Dennys Mauricio Vallejo Coronel, Cesar Guevara, Matilde Santos Peas |
| 2025 | Evaluating Open-Source Language Models for Sensitive Content Detection in Social Media. | Carmengelys Cordova, Aaron Pico, Elena del Val, Joaqun Taverner |
| 2025 | Evaluating AI Agents for Cyber Defense: A Comparison of Deep Reinforcement Learning and LLM Approaches. | Hassan Chowdhry, Jaume Manero, Srinivas Sampalli |
| 2025 | A Real-Time Traceability System Based on Blockchain and IoT Technologies. | Juan A. Torres de la Chica, Bruno Ramos-Cruz, Pedro Jos Snchez, Luis Martnez |
| 2025 | Empirical Comparison of Four Recommendation Models for Course Selection. | Diego Cheuquepn-Maldonado, Jordi Escayola Mansilla |
| 2025 | Automatic Evaluation of Hallucinations in Large Language Models with Semantic Inference. | Teilor Castro, Alberto Fernndez-Isabel |
| 2025 | Causality in Categorical Data Using Geometric Complexity. | Alexandra M. Carvalho, Diogo Cruz, Paulo Mateus, Bruno Mera |
| 2025 | Event Causality Identification via Prompt Learning with Knowledge and Memory. | Fei Cai, Wanyu Chen, Shen Wang, Guowang Li, Weijie Chen, Junxian Liu |
| 2025 | Knowledge Modeling and Distribution Refinement in Pre-trained Model for Class-Incremental Learning. | Hae-Rin Byeon, Sung-Bae Cho |
| 2025 | Integrating Physical Laws and Deep Learning: A Comparative Study of CNN and LSTM PINNs for Wind Energy. | Pablo-Andrs Buestn-Andrade, Matilde Santos, Jess Enrique Sierra-Garca, Nathalia Michelle Peralta Vsconez |
| 2025 | Towards Bitcoin Trend Prediction: A Machine Learning Approach Using Blockchain-Derived Data. | Arthur G. Bubolz, Marcos C. Freitas, Giancarlo Lucca, Rafael A. Berri, Eduardo N. Borges, Bruno Lopes Dalmazo |
| 2025 | Guided and Federated RAG: Architectural Models for Trustworthy AI in Data Spaces. | Carlos Mario Braga, Manuel A. Serrano, Eduardo Fernndez-Medina |
| 2025 | Mitigating Overfitting in Recommender Systems via Intra-domain Transfer Learning. | Eva Blanco-Mallo, Pablo Prez-Nez, Vernica Boln-Canedo, Beatriz Remeseiro |
| 2025 | Synthetic Data Augmentation for COD Prediction in WTTPs: A Comparative Study of Deep Learning Models with VARMA and TTS-GAN. | Afonso Bessa, Pedro Oliveira, Millena Santos, S. A. Silva, Paulo Novais |
| 2025 | The Impact of Contexts in Contextual Matrix Factorization Models. | Alejandro Bellogn |
| 2025 | Machine Learning vs. Randomness: Challenges in Predicting Binary Options Movements. | Gabriel M. Arantes, Richard F. Pinto, Bruno Lopes Dalmazo, Eduardo N. Borges, Giancarlo Lucca, Viviane L. D. de Mattos, Fabian Corra Cardoso, Rafael A. Berri |
| 2025 | Intelligent Multicriteria Classification of ETFs. | Pavel lvarez, Manuel Muoz-Palma, Maria Bernal, Tanya S. Garcia-Gastelum, Pavel Lpez-Parra |
| 2025 | Toward Insightful Evaluation of Speech-To-Text Technology Using Explainable AI. | Najla Althuniyan, Souad Larabi Marie-Sainte, Lamia Berriche, Jalila Zouhair, Arwa A. Bawazir, Lubaba R. Raed |
| 2024 | LORE4GroupRS: Explaining Group Recommendations Supported by a Local Rule-Based Approach. | Raciel Yera, Luis Martnez |
| 2024 | Data Mining in Credit Card Approval: Feature Importance Testing Comparison. | Qingyu Ye, Simon Fong, Jiahui Yu, Antonio J. Talln-Ballesteros |
| 2024 | The Contribution of Social Sciences Driven User Studies to the Development of Human-Centered Artificial Intelligence. | Magdalena Wjcik |
| 2024 | Data Analysis and Anomaly Detection in a Wind Farm with k-Nearest Neighbors. | Bassel Weiss, Segundo Esteban, Matilde Santos |
| 2024 | A Supervised Clustering Approach to Detect Similar Soccer Players. | Andreu Sim Vidal, Vctor Snchez-Anguix, Juan M. Alberola |