Artificial Neural Networks and Machine Learning – ICANN 2020

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29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15-18,2020, Proceedings, Part I, Lecture Notes in Computer Science 12396 – Theoretical Computer Science and General Issues

ISBN: 3030616088
ISBN 13: 9783030616083
Herausgeber: Igor Farkas/Paolo Masulli/Stefan Wermter
Verlag: Springer Verlag GmbH
Umfang: xxvii, 891 S., 88 s/w Illustr., 260 farbige Illustr., 891 p. 348 illus., 260 illus. in color.
Erscheinungsdatum: 20.10.2020
Auflage: 1/2021
Produktform: Kartoniert
Einband: Kartoniert
Artikelnummer: 9826338 Kategorie:

Beschreibung

The proceedings set LNCS 12396 and 12397 constitute the proceedings of the 29th International Conference on Artificial Neural Networks, ICANN 2020, held in Bratislava, Slovakia, in September 2020.*The total of 139 full papers presented in these proceedings was carefully reviewed and selected from 249 submissions. They were organized in 2 volumes focusing on topics such as adversarial machine learning, bioinformatics and biosignal analysis, cognitive models, neural network theory and information theoretic learning, and robotics and neural models of perception and action. *The conference was postponed to 2021 due to the COVID-19 pandemic.

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E-Mail: juergen.hartmann@springer.com

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