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Machine Learning, Optimization, and Data Science (eBook)

10th International Conference, LOD 2024, Castiglione della Pescaia, Italy, September 22-25, 2024, Revised Selected Papers, Part I
ISBN: 978-3-031-82481-4
GTIN: 9783031824814
Einband: PDF
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The three-volume set LNAI 15508-15510 constitutes the refereed proceedings of the 10th International Conference on Machine Learning, Optimization, and Data Science, LOD 2024, held in Castiglione della Pescaia, Italy, during September 22-25, 2024.

This year, in the LOD Proceedings decided to also include the papers of the fourth edition of the Symposium on Artificial Intelligence and Neuroscience (ACAIN 2024).

The 79 full papers included in this book were carefully reviewed and selected from 127 submissions. The LOD 2024 proceedings focus on machine learning, deep learning, AI, computational optimization, neuroscience and big data that includes invited talks, tutorial talks, special sessions, industrial tracks, demonstrations and oral and poster presentations of refereed papers.

The three-volume set LNAI 15508-15510 constitutes the refereed proceedings of the 10th International Conference on Machine Learning, Optimization, and Data Science, LOD 2024, held in Castiglione della Pescaia, Italy, during September 22-25, 2024.

This year, in the LOD Proceedings decided to also include the papers of the fourth edition of the Symposium on Artificial Intelligence and Neuroscience (ACAIN 2024).

The 79 full papers included in this book were carefully reviewed and selected from 127 submissions. The LOD 2024 proceedings focus on machine learning, deep learning, AI, computational optimization, neuroscience and big data that includes invited talks, tutorial talks, special sessions, industrial tracks, demonstrations and oral and poster presentations of refereed papers.

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AutorNicosia, Giuseppe (Hrsg.) / Ojha, Varun (Hrsg.) / Giesselbach, Sven (Hrsg.) / Pardalos, M. Panos (Hrsg.) / Umeton, Renato (Hrsg.)
VerlagSpringer Nature Switzerland
EinbandPDF
Erscheinungsjahr2025
Seitenangabe512 S.
AusgabekennzeichenEnglisch
AbbildungenXX, 512 p. 160 illus., 134 illus. in color.
Masse67'495 KB
PlattformPDF
ReiheLecture Notes in Computer Science
ISBN978-3-031-82481-4

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