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Artificial Neural Networks and Machine Learning - ICANN 2021 : 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part I /

The proceedings set LNCS 12891, LNCS 12892, LNCS 12893, LNCS 12894 and LNCS 12895 constitute the proceedings of the 30th International Conference on Artificial Neural Networks, ICANN 2021, held in Bratislava, Slovakia, in September 2021.* The total of 265 full papers presented in these proceedings w...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Farkaš, Igor (Editor), Masulli, Paolo (Editor), Otte, Sebastian (Editor), Wermter, Stefan (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2021.
Edition:1st ed. 2021.
Series:Theoretical Computer Science and General Issues ; 12891
Subjects:
Artificial intelligence.
Computer communication systems.
Application software.
Computers.
Optical data processing.
Artificial Intelligence.
Computer Communication Networks.
Computer Applications.
Computing Milieux.
Image Processing and Computer Vision.
Electronic books.
Online Access:Connect to the full text of this electronic book
Description
Summary:The proceedings set LNCS 12891, LNCS 12892, LNCS 12893, LNCS 12894 and LNCS 12895 constitute the proceedings of the 30th International Conference on Artificial Neural Networks, ICANN 2021, held in Bratislava, Slovakia, in September 2021.* The total of 265 full papers presented in these proceedings was carefully reviewed and selected from 496 submissions, and organized in 5 volumes. In this volume, the papers focus on topics such as adversarial machine learning, anomaly detection, attention and transformers, audio and multimodal applications, bioinformatics and biosignal analysis, capsule networks and cognitive models. *The conference was held online 2021 due to the COVID-19 pandemic.
Physical Description:1 online resource (XXIII, 617 pages 182 illustrations, 161 illustrations in color.)
ISBN:9783030863623
DOI:10.1007/978-3-030-86362-3