- 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.