Apertura Jornadas de Doctorado 2025 Sistemas Inteligentes
Multimodal machine learning in medical data
Integrated metrics and visualization for reliable and explainable retrieval-augmented generation
From Narratives to Communicative Intentions: Modelling Strategic Discourse in Digital Messaging
Simulating Misinformation Diffusion on Social Media: A Textual- and Agent-Based Approach
Application of NLP techniques for the assesment of suicide risk
Language Models and Knowledge Bases: Biomedical Model Evaluation and Knowledge Extraction
Efficient Frequent Itemset Mining Under Low Minimun Support: Challenges and Emerging Solutions
Anomaly detection in intelligent rural IOT systems and explainability in AI
Assesing feature selection techniques for AI-Based IOT network intrusion detection
Transformers Based Models for offline Multi-Agent reinforcement learning
Machine Learning for Explainable BI-RADS Description of Breast Ultrasound Images
The Changing Role of the Teacher in the Age of Large Language Models
AVA-REX: A Robotic Mutual Learning System for Safe Take-Over Requests in Autonomous Vehicles: Fostering Human-System Trust and Understanding
Collaborative Learning in Physical Education and Sport through Intelligent Systems
Cognitive-Emotional Modeling and Hybrid Intelligence: A User- Centered Approach to Psychomotor interventions in Active Aging
Integration of multi-modal learning, computer vision, and empathetic NLP for intelligent physiotherapy: Advancing AI through novel multi-modal Fusion
Cross-Domain Temporal Information Extraction from Multilingual News and Clinical Narratives
From detection to characterization: A holistic and perspectivist approach to media bias analysis
Evaluation of atuomatically generated knowledge graphs
