Pedreschi / Monreale / Guidotti Discovery Science

27th International Conference, DS 2024, Pisa, Italy, October 14–16, 2024, Proceedings, Part I
Erscheinungsjahr 2025
ISBN: 978-3-031-78977-9
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 419 Seiten

Reihe: Lecture Notes in Computer Science

The two-volume set LNAI 15243 + 15244 constitutes the proceedings of the 27th International Conference on Discovery Science, DS 2024, which took place in Pisa, Italy, during October 14-16, 2024.

The 53 full papers presented in the proceedings were carefully reviewed and selected from 121 submissions. They were organized in topical sections as follows: 

Part I: LLM, Text Analytics, and Ethical Aspects of AI; Natural Language Processing, Sequential Data and Science Discovery; Data-Driven Science Discovery Methodologies; Graph Neural Network, Graph Theory, Unsupervised Learning and Regression; 

Part II: Tree-Based Models and Causal Discovery; Security and Anomaly Detection; Computer Vision and Explainable AI; Classification Models; SoBigData++: City for Citizens and Explainable AI; SoBigData++: Societal Debates and Misinformation Analysis.

Zielgruppe

Research

Autoren/Hrsg.

Pedreschi, Dino

Monreale, Anna

Guidotti, Riccardo

Pellungrini, Roberto

Naretto, Francesca

Inhaltsverzeichnis

LLM, Text Analytics, and Ethical Aspects of AI.- Natural Language Processing, Sequential Data and Science Discovery.- Data-Driven Science Discovery Methodologies; Graph Neural Network, Graph Theory.- Unsupervised Learning and Regression.