Theoretical Computer Science and General Issues

Artificial Neural Networks and Machine Learning – ICANN 2020

29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15–18, 2020, Proceedings, Part II

Editors: Farkaš, Igor, Masulli, Paolo, Wermter, Stefan (Eds.)

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  • ISBN 978-3-030-61616-8
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About this book

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.

Table of contents (70 chapters)

Table of contents (70 chapters)
  • Fine-Grained Channel Pruning for Deep Residual Neural Networks

    Pages 3-14

    Chen, Siang (et al.)

  • A Lightweight Fully Convolutional Neural Network of High Accuracy Surface Defect Detection

    Pages 15-26

    Li, Yajie (et al.)

  • Detecting Uncertain BNN Outputs on FPGA Using Monte Carlo Dropout Sampling

    Pages 27-38

    Myojin, Tomoyuki (et al.)

  • Neural Network Compression via Learnable Wavelet Transforms

    Pages 39-51

    Wolter, Moritz (et al.)

  • Fast and Robust Compression of Deep Convolutional Neural Networks

    Pages 52-63

    Wen, Jia (et al.)

Buy this book

eBook $99.00
price for USA in USD
  • ISBN 978-3-030-61616-8
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase Institutional customers should get in touch with their account manager
Softcover $129.99
price for USA in USD
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Bibliographic Information

Bibliographic Information
Book Title
Artificial Neural Networks and Machine Learning – ICANN 2020
Book Subtitle
29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15–18, 2020, Proceedings, Part II
Editors
  • Igor Farkaš
  • Paolo Masulli
  • Stefan Wermter
Series Title
Theoretical Computer Science and General Issues
Series Volume
12397
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-61616-8
DOI
10.1007/978-3-030-61616-8
Softcover ISBN
978-3-030-61615-1
Edition Number
1
Number of Pages
XXVII, 891
Number of Illustrations
155 b/w illustrations, 247 illustrations in colour
Topics