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Discovery Science 27th International Conference, DS 2024, Pisa, Italy, October 14–16, 2024, Proceedings, Part II /

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...

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Körperschaft: SpringerLink (Online service)
Weitere Verfasser: Pedreschi, Dino (HerausgeberIn), Monreale, Anna (HerausgeberIn), Guidotti, Riccardo (HerausgeberIn), Pellungrini, Roberto (HerausgeberIn), Naretto, Francesca (HerausgeberIn)
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Ausgabe:1st ed. 2025.
Schriftenreihe:Lecture Notes in Artificial Intelligence, 15244
Schlagworte:
Artificial intelligence.
Education > Data processing.
Data mining.
Social sciences > Data processing.
Image processing > Digital techniques.
Computer vision.
Artificial Intelligence.
Computers and Education.
Data Mining and Knowledge Discovery.
Computer Application in Social and Behavioral Sciences.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Online-Zugang:https://doi.org/10.1007/978-3-031-78980-9
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Beschreibung
Zusammenfassung: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. .
Beschreibung:XXI, 443 p. 129 illus., 111 illus. in color. online resource.
ISBN:9783031789809
ISSN:2945-9141 ;
DOI:10.1007/978-3-031-78980-9

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