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Artificial Neural Networks and Machine Learning – ICANN 2018

27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part I

  • Věra Kůrková
  • Yannis Manolopoulos
  • Barbara Hammer
  • Lazaros Iliadis
  • Ilias Maglogiannis
Conference proceedings ICANN 2018

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11139)

Also part of the Theoretical Computer Science and General Issues book sub series (LNTCS, volume 11139)

Table of contents

  1. Front Matter
    Pages I-XLIII
  2. CNN/Natural Language

    1. Front Matter
      Pages 1-1
    2. Xiao Dong, Lei Liu, Guangli Li, Peng Zhao, Xiaobing Feng
      Pages 3-13
    3. Youcai Zhang, Yiwei Gu, Xiaodong Gu
      Pages 14-21
    4. Giannis Nikolentzos, Polykarpos Meladianos, Antoine Jean-Pierre Tixier, Konstantinos Skianis, Michalis Vazirgiannis
      Pages 22-32
    5. Luiz C. Silva, Cleber G. Dias, Wonder A. L. Alves
      Pages 33-42
    6. Yahaya Isah Shehu, Ariel Ruiz-Garcia, Vasile Palade, Anne James
      Pages 51-60
    7. Jiří Martínek, Ladislav Lenc, Pavel Král
      Pages 73-83
    8. Yingruo Fan, Jacqueline C. K. Lam, Victor O. K. Li
      Pages 84-94
    9. Alex Hernández-García, Peter König
      Pages 95-103
    10. Xiaoping Zheng, Song He, Xinyu Song, Zhongnan Zhang, Xiaochen Bo
      Pages 104-114
    11. Stefan Oehmcke, Oliver Zielinski, Oliver Kramer
      Pages 123-133
    12. Alper Ahmetoğlu, Ozan İrsoy, Ethem Alpaydın
      Pages 134-141
    13. Qiang Sun, Yue Wu
      Pages 142-153
    14. Xingzhang Ren, Leilei Zhang, Wei Ye, Hang Hua, Shikun Zhang
      Pages 154-165
    15. Mark Cappello Ferreira de Sousa, Miguel Angelo de Abreu de Sousa, Emilio Del-Moral-Hernandez
      Pages 166-175
    16. Annika Lindh, Robert J. Ross, Abhijit Mahalunkar, Giancarlo Salton, John D. Kelleher
      Pages 176-187
    17. K. Delibasis, Ilias Maglogiannis, S. Georgakopoulos, K. Kottari, V. Plagianakos
      Pages 188-196
  3. Spiking

    1. Front Matter
      Pages 197-197
    2. Hui Wei, Zihao Su, Dawei Dai
      Pages 199-210
    3. Juan Camilo Vasquez Tieck, Marin Vlastelica Pogančić, Jacques Kaiser, Arne Roennau, Marc-Oliver Gewaltig, Rüdiger Dillmann
      Pages 211-221
    4. Jacques Kaiser, Jakob Weinland, Philip Keller, Lea Steffen, J. Camilo Vasquez Tieck, Daniel Reichard et al.
      Pages 244-252
    5. René Larisch, Michael Teichmann, Fred H. Hamker
      Pages 253-262
    6. Shashwat Shukla, Sangya Dutta, Udayan Ganguly
      Pages 273-283
    7. Isabella Pozzi, Roeland Nusselder, Davide Zambrano, Sander Bohté
      Pages 284-293
    8. L. M. Grzesiak, V. Meganck
      Pages 294-303
    9. Muhammad Aamir Khan, Volker Steuber, Neil Davey, Borys Wróbel
      Pages 314-321
  4. Machine Learning/Autoencoders

    1. Front Matter
      Pages 333-333
    2. Ingrid Grenet, Yonghua Yin, Jean-Paul Comet, Erol Gelenbe
      Pages 335-345
    3. Javier Cela, Alberto Suárez
      Pages 346-351
    4. Josef Feigl, Martin Bogdan
      Pages 372-381
    5. Chunjie Luo, Jianfeng Zhan, Xiaohe Xue, Lei Wang, Rui Ren, Qiang Yang
      Pages 382-391
    6. Mandar V. Tabib, Ole Martin Løvvik, Kjetil Johannessen, Adil Rasheed, Espen Sagvolden, Anne Marthine Rustad
      Pages 392-401
    7. Guangli Li, Lei Liu, Xueying Wang, Xiao Dong, Peng Zhao, Xiaobing Feng
      Pages 402-411
    8. Martin Simonovsky, Nikos Komodakis
      Pages 412-422
    9. Amit Chaulwar, Michael Botsch, Wolfgang Utschick
      Pages 423-434
  5. Learning

    1. Front Matter
      Pages 445-445
    2. Zhihao Ye, Ruichu Cai, Zhaohui Liao, Zhifeng Hao, Jinfen Li
      Pages 447-455
    3. Jan Philip Göpfert, Barbara Hammer, Heiko Wersing
      Pages 456-467

Other volumes

  1. Artificial Neural Networks and Machine Learning – ICANN 2018
    27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part I
  2. 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part II
  3. 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part III

About these proceedings

Introduction

This three-volume set LNCS 11139-11141 constitutes the refereed proceedings of the 27th International Conference on Artificial Neural Networks, ICANN 2018, held in Rhodes, Greece, in October 2018.

The papers presented in these volumes was carefully reviewed and selected from  total of 360 submissions. They are related to the following thematic topics: AI and Bioinformatics, Bayesian and Echo State Networks, Brain Inspired Computing, Chaotic Complex Models, Clustering, Mining, Exploratory Analysis, Coding Architectures, Complex Firing Patterns, Convolutional Neural Networks, Deep Learning (DL), DL in Real Time Systems, DL and Big Data Analytics, DL and Big Data, DL and Forensics, DL and Cybersecurity, DL and Social Networks, Evolving Systems – Optimization, Extreme Learning Machines, From Neurons to Neuromorphism, From Sensation to Perception, From Single Neurons to Networks, Fuzzy Modeling, Hierarchical ANN, Inference and Recognition, Information and Optimization, Interacting with The Brain, Machine Learning (ML), ML for Bio Medical systems, ML and Video-Image Processing, ML and Forensics, ML and Cybersecurity, ML and Social Media, ML in Engineering, Movement and Motion Detection, Multilayer Perceptrons and Kernel Networks, Natural Language, Object and Face Recognition, Recurrent Neural Networks and Reservoir Computing, Reinforcement Learning, Reservoir Computing, Self-Organizing Maps, Spiking Dynamics/Spiking ANN, Support Vector Machines, Swarm Intelligence and Decision-Making, Text Mining, Theoretical Neural Computation, Time Series and Forecasting, Training and Learning.

Keywords

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

Editors and affiliations

  • Věra Kůrková
    • 1
  • Yannis Manolopoulos
    • 2
  • Barbara Hammer
    • 3
  • Lazaros Iliadis
    • 4
  • Ilias Maglogiannis
    • 5
  1. 1.Czech Academy of SciencesPrague 8Czech Republic
  2. 2.Open University of CyprusLatsiaCyprus
  3. 3.CITEC Bielefeld UniversityBielefeldGermany
  4. 4.Democritus University of ThraceXanthiGreece
  5. 5.University of PiraeusPiraeusGreece

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-01418-6
  • Copyright Information Springer Nature Switzerland AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-01417-9
  • Online ISBN 978-3-030-01418-6
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site