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| Autore: |
Pedreschi Dino
|
| Titolo: |
Discovery Science : 27th International Conference, DS 2024, Pisa, Italy, October 14–16, 2024, Proceedings, Part I / / edited by Dino Pedreschi, Anna Monreale, Riccardo Guidotti, Roberto Pellungrini, Francesca Naretto
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| Pubblicazione: | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Edizione: | 1st ed. 2025. |
| Descrizione fisica: | 1 online resource (642 pages) |
| Disciplina: | 006.3 |
| Soggetto topico: | 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 | |
| Altri autori: |
MonrealeAnna
GuidottiRiccardo
PellungriniRoberto
NarettoFrancesca
|
| Nota di contenuto: | 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. |
| Sommario/riassunto: | 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. . |
| Titolo autorizzato: | Discovery Science ![]() |
| ISBN: | 9783031789779 |
| 3031789776 | |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910983050303321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |