Discovery Science
27th International Conference, DS 2024, Pisa, Italy, October 14–16, 2024, Proceedings, Part II
Seiten
2025
Springer International Publishing AG (Verlag)
978-3-031-78979-3 (ISBN)
Springer International Publishing AG (Verlag)
978-3-031-78979-3 (ISBN)
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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.
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.
The 53 full papers presented in the proceedings were carefully reviewed and selected from 121 submissions.
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.
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.
| Erscheint lt. Verlag | 8.1.2025 |
|---|---|
| Reihe/Serie | Lecture Notes in Computer Science ; 15244 |
| Zusatzinfo | Approx. 420 p. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Schulbuch / Wörterbuch ► Unterrichtsvorbereitung ► Unterrichts-Handreichungen |
| Informatik ► Datenbanken ► Data Warehouse / Data Mining | |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Sozialwissenschaften ► Pädagogik | |
| ISBN-10 | 3-031-78979-2 / 3031789792 |
| ISBN-13 | 978-3-031-78979-3 / 9783031789793 |
| Zustand | Neuware |
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