.- 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 Learning. .- Development of Explainable AI Methods for the Interpretation of Machine Learning Models in Bioinformatics and Medicine. .- Deep Learning Techniques for Predicting Wildires in Calabria Italy Using Environmental Parameters. .- 5th Workshop on Intelligent Data - From Data to Knowledge (DOING 2024). .- Capturing Analytical Intents from Text. .- The Effect of Text Normalization on Mining Portuguese Man-of-War Instagram Posts. .- A Preliminary Investigation: Strategies for Incorporating Logical Rules into Knowledge Graph Embeddings. .- Construction of Open Data Sources for Data Interoperability in Brazilian Health Information Systems. .- Brazilian Political Study with Topics Analysis and Complex Networks. .- 3rd Workshop on Knowledge Graphs Analysis on a Large Scale (K-GALS 2024). .- Transforming Text into Knowledge with Graphs: Report of the GDR MADICS DOING Action. .- Building Model-Driven Knowledge Graphs via Large Language Models. .- 6th Workshop on Modern Approaches in Data Engineering and Information System Design (MADEISD 2024). .- Process Mining in Croatia’s Judicial Auctions. .- Towards the Utilization of AI-powered Assistance for Systematic Literature Review. .- Estimating Information Efficiency of Bitcoin Inscriptions. .- Deep Learning-Based Cellular Nuclei Segmentation Using Transformer Mode. .- Towards a Model-Driven Approach to Enable Uniform Access to Vector Databases. .- Employing Multiple Online Translation Services in a Multilingual Database Design Tool. .- 3rd Workshop on Personalization and Recommender Systems (PERS 2024). .- Development of Collaborative Business Intelligence Framework for Tourism Analysis. .- Session-based Recommendation with Graph Neural Networks with an Examination of the Impact of Local and Global Vectors. .- Senselife: Service Recommendation and Frailty Prevention through Knowledge Models. .- Evaluating Diversity in Sequential Group Recommendations. .- Access methods and Query Processing. .- A Reproducibility Study of Subgroup Discovery Algorithms (short). .- Discovery and Data Analysis. .- A Compact and Efficient Data Structure for Line-based Processing of Series of Raster Data (short). .- Machine Learning. .- FedeM: Federated Learning-Based Privacy-Preserving Record Matching (short). .- Estimating MPdist with SAX and Machine Learning (short). .- Large Language Models. .- Entity Matching with Large Language Models as Weak and Strong labellers (short). .- LLMClean: Context-Aware Tabular Data Cleaning via LLM-Generated OFDs (short). .- Tutorials. .- Data-driven Analysis for Monitoring Software Evolution. .- On Customer Data Deduplication - Research vs. Industrial Perspective: Lessons Learned from a R&D Project in the Financial Sector.