E-raamat: New Trends in Database and Information Systems: ADBIS 2024 Short Papers, Workshops, Doctoral Consortium and Tutorials, Bayonne, France, August 28-31, 2024, Proceedings

.- 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 Croatias 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.