New Trends in Database and Information Systems

.- 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.