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Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation

28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019, Proceedings, Part I

  • Igor V. Tetko
  • Věra Kůrková
  • Pavel Karpov
  • Fabian Theis
Conference proceedings ICANN 2019

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11727)

Also part of the Theoretical Computer Science and General Issues book sub series (LNTCS, volume 11727)

Table of contents

  1. Front Matter
    Pages i-xxx
  2. Associative Memory

  3. Brain Activity Analysis and Inspired Computing

    1. Front Matter
      Pages 87-87
    2. Mizuo Nagayama, Toshimitsu Aritake, Hideitsu Hino, Takeshi Kanda, Takehiro Miyazaki, Masashi Yanagisawa et al.
      Pages 102-113
    3. Timo Wunderlich, Akos F. Kungl, Eric Müller, Johannes Schemmel, Mihai Petrovici
      Pages 119-122
    4. Gianpaolo Coro, Giulio Masetti, Philipp Bonhoeffer, Michael Betcher
      Pages 123-137
  4. Capsule Networks

    1. Front Matter
      Pages 139-139
    2. Jian Ye, Qing Chang, Xiaotian Jia
      Pages 141-151
    3. Jian-wei Liu, Xi-hao Ding, Run-kun Lu, Yuan-feng Lian, Dian-zhong Wang, Xiong-lin Luo
      Pages 152-165
    4. Huu Phong Nguyen, Bernardete Ribeiro
      Pages 166-177
    5. Jian-wei Liu, Feng Gao, Run-kun Lu, Yuan-feng Lian, Dian-zhong Wang, Xiong-lin Luo et al.
      Pages 178-189
  5. Embedding Systems

    1. Front Matter
      Pages 191-191
    2. Andréa B. Duque, Luã Lázaro J. Santos, David Macêdo, Cleber Zanchettin
      Pages 193-207
    3. Mohammad Loni, Ali Zoljodi, Sima Sinaei, Masoud Daneshtalab, Mikael Sjödin
      Pages 208-222
    4. Masaharu Yamamoto, Koichiro Yamauchi
      Pages 223-238
  6. Explainable Methods

    1. Front Matter
      Pages 239-239
    2. Kohei Asano, Jinhee Chun, Atsushi Koike, Takeshi Tokuyama
      Pages 241-252
    3. Cristian Axenie, Radu Tudoran, Stefano Bortoli, Mohamad Al Hajj Hassan, Goetz Brasche
      Pages 253-266
    4. Sabina-Adriana Floria, Florin Leon, Petru Cașcaval, Doina Logofătu
      Pages 267-280
    5. Yifeng Li, Xiaodan Zhu
      Pages 281-295
    6. Gregor Ehrensperger, Sebastian Stabinger, Antonio Rodríguez Sánchez
      Pages 296-301
    7. Jan Philip Göpfert, Heiko Wersing, Barbara Hammer
      Pages 302-311
    8. Christian Oliva, Luis F. Lago-Fernández
      Pages 312-323
  7. From Single Neurons to Networks

    1. Front Matter
      Pages 325-325
    2. Weronika Wojtak, Flora Ferreira, Estela Bicho, Wolfram Erlhagen
      Pages 327-338
    3. Mian Zhang, Cheng Cheng, Xianzhong Long
      Pages 363-374
    4. Alexander Genkin, Anirvan M. Sengupta, Dmitri Chklovskii
      Pages 375-386
  8. Neural Network Theory

    1. Front Matter
      Pages 387-387
    2. Jiří Šíma
      Pages 389-400
    3. Adrian de Wynter
      Pages 401-417
  9. New Architectures

    1. Front Matter
      Pages 429-429
    2. Frederik Diehl, Alois Knoll
      Pages 431-443
    3. Maximilian Soelch, Adnan Akhundov, Patrick van der Smagt, Justin Bayer
      Pages 444-457
    4. Nasrulloh R. B. S. Loka, Muthusubash Kavitha, Takio Kurita
      Pages 458-470
    5. Yuan Chang, Zixuan Huang, Qiwei Shen
      Pages 471-483
    6. Sebastian Otte, Patricia Rubisch, Martin V. Butz
      Pages 484-496
    7. Quentin Jodelet, Vincent Gripon, Masafumi Hagiwara
      Pages 497-512
    8. Davide Bacciu, Antonio Carta, Alessandro Sperduti
      Pages 513-525
  10. Reinforcement Learning

    1. Front Matter
      Pages 527-527

Other volumes

  1. Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation
    28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019, Proceedings, Part I
  2. 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019, Proceedings, Part II
  3. 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019, Proceedings, Part III
  4. 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019, Proceedings, Part IV
  5. 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019, Proceedings

About these proceedings

Introduction

The proceedings set LNCS 11727, 11728, 11729, 11730, and 11731 constitute the proceedings of the 28th International Conference on Artificial Neural Networks, ICANN 2019, held in Munich, Germany, in September 2019. 
The total of 277 full papers and 43 short papers presented in these proceedings was carefully reviewed and selected from 494 submissions. They were organized in 5 volumes focusing on theoretical neural computation; deep learning; image processing; text and time series; and workshop and special sessions. 

Keywords

artificial intelligence classification clustering computational linguistics computer networks Human-Computer Interaction (HCI) image processing image reconstruction image segmentation imaging systems learning algorithms machine learning neural networks recurrent neural networks robotics semantics sensors signal processing Support Vector Machines (SVM) user interfaces

Editors and affiliations

  1. 1.Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH)NeuherbergGermany
  2. 2.Institute of Computer ScienceCzech Academy of SciencesPrague 8Czech Republic
  3. 3.Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH)NeuherbergGermany
  4. 4.Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH)NeuherbergGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-30487-4
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-30486-7
  • Online ISBN 978-3-030-30487-4
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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