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  • © 2019

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

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

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

Conference series link(s): ICANN: International Conference on Artificial Neural Networks

Conference proceedings info: ICANN 2019.

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Table of contents (63 papers)

  1. Front Matter

    Pages i-xxx
  2. Associative Memory

    1. Front Matter

      Pages 1-1
    2. Stability Analysis of a Generalized Class of BAM Neural Networks with Mixed Delays

      • Chaouki Aouiti, Farouk Chérif, Anis Zeglaoui
      Pages 20-31
    3. A Nonlinear Fokker-Planck Description of Continuous Neural Network Dynamics

      • Roseli S. Wedemann, Angel R. Plastino
      Pages 43-56
    4. Multi-modal Associative Storage and Retrieval Using Hopfield Auto-associative Memory Network

      • Rachna Shriwas, Prasun Joshi, Vandana M. Ladwani, V. Ramasubramanian
      Pages 57-75
  3. Brain Activity Analysis and Inspired Computing

    1. Front Matter

      Pages 87-87
    2. Sleep State Analysis Using Calcium Imaging Data by Non-negative Matrix Factorization

      • Mizuo Nagayama, Toshimitsu Aritake, Hideitsu Hino, Takeshi Kanda, Takehiro Miyazaki, Masashi Yanagisawa et al.
      Pages 102-113
    3. Brain-Inspired Hardware for Artificial Intelligence: Accelerated Learning in a Physical-Model Spiking Neural Network

      • Timo Wunderlich, Akos F. Kungl, Eric Müller, Johannes Schemmel, Mihai Petrovici
      Pages 119-122
    4. Distinguishing Violinists and Pianists Based on Their Brain Signals

      • Gianpaolo Coro, Giulio Masetti, Philipp Bonhoeffer, Michael Betcher
      Pages 123-137
  4. Capsule Networks

    1. Front Matter

      Pages 139-139
    2. Research on Image-to-Image Translation with Capsule Network

      • Jian Ye, Qing Chang, Xiaotian Jia
      Pages 141-151
    3. Multi-View Capsule Network

      • Jian-wei Liu, Xi-hao Ding, Run-kun Lu, Yuan-feng Lian, Dian-zhong Wang, Xiong-lin Luo
      Pages 152-165
    4. Advanced Capsule Networks via Context Awareness

      • Huu Phong Nguyen, Bernardete Ribeiro
      Pages 166-177
    5. DDRM-CapsNet: Capsule Network Based on Deep Dynamic Routing Mechanism for Complex Data

      • 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

About this book

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. 

Editors and Affiliations

  • Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH), Neuherberg, Germany

    Igor V. Tetko, Pavel Karpov, Fabian Theis

  • Institute of Computer Science, Czech Academy of Sciences, Prague 8, Czech Republic

    Věra Kůrková

Bibliographic Information

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access