From detection to characterization: A holistic and perspectivist approach to media bias analysis

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