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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| Συγγραφή απο Οργανισμό/Αρχή: | |
|---|---|
| Άλλοι συγγραφείς: | , , , , |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | Αγγλικά |
| Έκδοση: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
|
| Έκδοση: | 1st ed. 2025. |
| Σειρά: | Lecture Notes in Artificial Intelligence,
15244 |
| Θέματα: | |
| Διαθέσιμο Online: | https://doi.org/10.1007/978-3-031-78980-9 |
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| 245 | 1 | 0 | |a Discovery Science |h [electronic resource] : |b 27th International Conference, DS 2024, Pisa, Italy, October 14–16, 2024, Proceedings, Part II / |c edited by Dino Pedreschi, Anna Monreale, Riccardo Guidotti, Roberto Pellungrini, Francesca Naretto. |
| 250 | |a 1st ed. 2025. | ||
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| 505 | 0 | |a 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. | |
| 520 | |a 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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| 650 | 1 | 4 | |a Artificial Intelligence. |
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| 700 | 1 | |a Pedreschi, Dino. |e editor. |0 (orcid)0000-0003-4801-3225 |1 https://orcid.org/0000-0003-4801-3225 |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Monreale, Anna. |e editor. |0 (orcid)0000-0001-8541-0284 |1 https://orcid.org/0000-0001-8541-0284 |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Guidotti, Riccardo. |e editor. |0 (orcid)0000-0002-2827-7613 |1 https://orcid.org/0000-0002-2827-7613 |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Pellungrini, Roberto. |e editor. |0 (orcid)0000-0003-3268-9271 |1 https://orcid.org/0000-0003-3268-9271 |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Naretto, Francesca. |e editor. |0 (orcid)0000-0003-1301-7787 |1 https://orcid.org/0000-0003-1301-7787 |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
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