Discovery Science (eBook, PDF)

27th International Conference, DS 2024, Pisa, Italy, October 14-16, 2024, Proceedings, Part I
Redaktion: Pedreschi, Dino; Naretto, Francesca; Pellungrini, Roberto; Guidotti, Riccardo; Monreale, Anna

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 419
• Erscheinungstermin: 27. Januar 2025
• Englisch
• ISBN-13: 9783031789779
• Artikelnr.: 73162699

Inhaltsangabe

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.