9783031452741 - Discovery Science: 26th International Conference, DS 2023, Porto, Portugal, October 9?11, 2023, Proceedings (Lecture Notes in Artificial Intelligence, Band 14276) (6 Ergebnisse)

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Taschenbuch. Zustand: Neu. Discovery Science | 26th International Conference, DS 2023, Porto, Portugal, October 9-11, 2023, Proceedings | Albert Bifet (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xxv | Englisch | 2023 | Springer | EAN 9783031452741 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the proceedings of the 26th International Conference on Discovery Science, DS 2023, which took place in Porto, Portugal, in October 2023.The 37 full papers and 10 short papers presented in this volume were carefully reviewed and selected from 133 submissions. They were organized in topical sections as follows: Machine learning methods and applications; natural language processing and social media analysis; interpretability and explainability in AI; data analysis and optimization; fairness, privacy and security in AI; control and spatio-temporal modeling; graph theory and network analysis; time series and forecasting; healthcare and biological data analysis; anomaly, outlier and novelty detection.

Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 748 | Sprache: Englisch | Produktart: Bücher | This book constitutes the proceedings of the 26th International Conference on Discovery Science, DS 2023, which took place in Porto, Portugal, in October 2023. The 37 full papers and 10 short papers presented in this volume were carefully reviewed and selected from 133 submissions. They were organized in topical sections as follows: Machine learning methods and applications; natural language processing and social media analysis; interpretability and explainability in AI; data analysis and optimization; fairness, privacy and security in AI; control and spatio-temporal modeling; graph theory and network analysis; time series and forecasting; healthcare and biological data analysis; anomaly, outlier and novelty detection.