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Artificial Neural Networks and Machine Learning – ICANN 2020

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

  • Conference proceedings
  • © 2020

Access provided by Autonomous University of Puebla

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12396)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Included in the following conference series:

Conference proceedings info: ICANN 2020.

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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.

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Keywords

Table of contents (69 papers)

  1. Adversarial Machine Learning

  2. Bioinformatics and Biosignal Analysis

  3. Cognitive Models

  4. Convolutional Neural Networks and Kernel Methods

Other volumes

  1. Artificial Neural Networks and Machine Learning – ICANN 2020

  2. Artificial Neural Networks and Machine Learning – ICANN 2020

Editors and Affiliations

  • Department of Applied Informatics, Comenius University in Bratislava, Bratislava, Slovakia

    Igor Farkaš

  • Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kgs. Lyngby, Denmark

    Paolo Masulli

  • Department of Informatics, University of Hamburg, Hamburg, Germany

    Stefan Wermter

Bibliographic Information

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