This book constitutes short papers, Doctoral Consortium and Workshops papers which were held in conjunction with the 28th European Conference on New Trends in Databases and Information Systems, ADBIS 2024, which took place in Bayonne, France, during August 2831, 2024.
The total of 28 full papers and 7 short papers presented in this book were carefully reviewed and selected from 103 submissions. They were organized in the following topical sections:
Doctoral Consortium; 5th Workshop on Intelligent Data - From Data to Knowledge (DOING 2024); 3rd Workshop on Knowledge Graphs Analysis on a Large Scale (K-GALS 2024); 6th Workshop on Modern Approaches in Data Engineering and Information System Design (MADEISD 2024); 3rd Workshop on Personalization and Recommender Systems (PERS 2024); Access methods and query processing; discovery and data analysis; Machine Learning; large language models; and tutorials.
.- Doctoral Consortium.
.- Using Graph Theory for Clinical Data Management.
.- Advancing Legal NLP: Application of Pre-trained Language Models in the Legal Domain.
.- An application for scoliosis screening and follow-up: a first proposal.
.- Negation Detection in Italian: A Key Challenge in Sentiment Analysis.
.- Optimizing Federated Learning and Increasing Efficiency.
.- Integrating Pseudo-Time Series Analysis into Telemedicine: Enhancing Real-Time Disease Monitoring and Intervention.
.- Classifying Chest X-Ray Images with Deep Learning Techniques: Challenges and Explainable Analysis.
.- Scalable Deep Learning: Applications in Medicine.
.- Towards More Efficient and Improved Federated Lel#,