Application of NLP techniques for the assesment of suicide risk

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