Artificial Neural Networks and Machine Learning – ICANN 2020
29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15–18, 2020, Proceedings, Part I
Editors: Farkaš, Igor, Masulli, Paolo, Wermter, Stefan (Eds.)
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- About this book
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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 (69 chapters)
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On the Security Relevance of Initial Weights in Deep Neural Networks
Pages 3-14
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Fractal Residual Network for Face Image Super-Resolution
Pages 15-26
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From Imbalanced Classification to Supervised Outlier Detection Problems: Adversarially Trained Auto Encoders
Pages 27-38
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Generating Adversarial Texts for Recurrent Neural Networks
Pages 39-51
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Enforcing Linearity in DNN Succours Robustness and Adversarial Image Generation
Pages 52-64
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Table of contents (69 chapters)
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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 I
- Editors
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- Igor Farkaš
- Paolo Masulli
- Stefan Wermter
- Series Title
- Theoretical Computer Science and General Issues
- Series Volume
- 12396
- Copyright
- 2020
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer Nature Switzerland AG
- eBook ISBN
- 978-3-030-61609-0
- DOI
- 10.1007/978-3-030-61609-0
- Softcover ISBN
- 978-3-030-61608-3
- Edition Number
- 1
- Number of Pages
- XXVII, 891
- Number of Illustrations
- 88 b/w illustrations, 260 illustrations in colour
- Topics
