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© 2020

Artificial Neural Networks and Machine Learning – ICANN 2020

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

  • Igor Farkaš
  • Paolo Masulli
  • Stefan Wermter
Conference proceedings ICANN 2020

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

Also part of the Theoretical Computer Science and General Issues book sub series (LNTCS, volume 12396)

Table of contents

  1. Front Matter
    Pages i-xxvii
  2. Adversarial Machine Learning

    1. Front Matter
      Pages 1-1
    2. Kathrin Grosse, Thomas A. Trost, Marius Mosbach, Michael Backes, Dietrich Klakow
      Pages 3-14
    3. Yuchun Fang, Qicai Ran, Yifan Li
      Pages 15-26
    4. Max Lübbering, Rajkumar Ramamurthy, Michael Gebauer, Thiago Bell, Rafet Sifa, Christian Bauckhage
      Pages 27-38
    5. Chang Liu, Wang Lin, Zhengfeng Yang
      Pages 39-51
    6. Iveta Bečková, Štefan Pócoš, Igor Farkaš
      Pages 65-76
  3. Bioinformatics and Biosignal Analysis

    1. Front Matter
      Pages 77-77
    2. Wenwen Cui, Zhaoyang Yu, Zhuangzhuang Liu, Gang Wang, Xiaoguang Liu
      Pages 92-104
    3. Meshal Ansari, David S. Fischer, Fabian J. Theis
      Pages 105-114
    4. Zuzana Rošťáková, Roman Rosipal, Saman Seifpour
      Pages 115-126
    5. Nick Taubert, Jesse St. Amand, Prerana Kumar, Leonardo Gizzi, Martin A. Giese
      Pages 127-140
  4. Cognitive Models

    1. Front Matter
      Pages 141-141
    2. Sarah Fabi, Sebastian Otte, Jonas Gregor Wiese, Martin V. Butz
      Pages 143-154
    3. Dania Humaidan, Sebastian Otte, Martin V. Butz
      Pages 155-167
    4. Michael Stettler, Nick Taubert, Tahereh Azizpour, Ramona Siebert, Silvia Spadacenta, Peter Dicke et al.
      Pages 168-179
    5. Michael Marino, Georg Schröter, Gunther Heidemann, Joachim Hertzberg
      Pages 180-191
  5. Convolutional Neural Networks and Kernel Methods

    1. Front Matter
      Pages 193-193

Other volumes

  1. Artificial Neural Networks and Machine Learning – ICANN 2020
    29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15–18, 2020, Proceedings, Part I
  2. 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15–18, 2020, Proceedings, Part II

About these proceedings

Introduction

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.

Keywords

artificial intelligence classification computational linguistics computer networks computer vision Human-Computer Interaction (HCI) image analysis image processing image reconstruction image segmentation imaging systems learning machine learning neural networks pattern recognition robotics semantics signal processing

Editors and affiliations

  1. 1.Department of Applied InformaticsComenius University in BratislavaBratislavaSlovakia
  2. 2.Department of Applied Mathematics and Computer ScienceTechnical University of DenmarkKgs. LyngbyDenmark
  3. 3.Department of InformaticsUniversity of HamburgHamburgGermany

Bibliographic information