.- 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.
