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Artificial Neural Networks and Machine Learning – ICANN 2013

23rd International Conference on Artificial Neural Networks Sofia, Bulgaria, September 10-13, 2013. Proceedings

  • Valeri Mladenov
  • Petia Koprinkova-Hristova
  • Günther Palm
  • Alessandro E. P. Villa
  • Bruno Appollini
  • Nikola Kasabov
Conference proceedings ICANN 2013

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8131)

Table of contents

  1. Front Matter
  2. Neural Network Theory and Models

    1. Botond Attila Bócsi, Lehel Csató
      Pages 1-8
    2. Hani El Assaad, Allou Samé, Gérard Govaert, Patrice Aknin
      Pages 9-16
    3. Yuya Okadome, Yutaka Nakamura, Yumi Shikauchi, Shin Ishii, Hiroshi Ishiguro
      Pages 17-25
    4. Johannes Schumacher, Hazem Toutounji, Gordon Pipa
      Pages 26-33
    5. Stefanos Ougiaroglou, Leonidas Karamitopoulos, Christos Tatoglou, Georgios Evangelidis, Dimitris A. Dervos
      Pages 34-41
    6. Vladimir Kryzhanovsky, Irina Zhelavskaya, Juan Antonio Clares Tomas
      Pages 42-49
    7. Carlos M. Alaíz, Álvaro Barbero, José R. Dorronsoro
      Pages 66-73
    8. Farouk Chérif, Hajer Brahmi, Boudour Ammar, Adel M. Alimi
      Pages 74-81
    9. Salvatore Frandina, Marco Gori, Marco Lippi, Marco Maggini, Stefano Melacci
      Pages 82-89
    10. Rafał Zdunek, Anh-Huy Phan, Andrzej Cichocki
      Pages 90-97
    11. Nathan Burles, Simon O’Keefe, James Austin
      Pages 98-105
  3. Machine Learning and Learning Algorithms

    1. KyungHyun Cho, Tapani Raiko, Alexander Ilin, Juha Karhunen
      Pages 106-113
    2. Diego Peteiro-Barral, Bertha Guijarro-Berdiñas
      Pages 122-129
    3. Giorgio Gnecco, Marco Gori, Stefano Melacci, Marcello Sanguineti
      Pages 146-153
    4. Igor Farkaš, Kristína Rebrová
      Pages 154-161
    5. Martin Meier, Robert Haschke, Helge J. Ritter
      Pages 178-185
    6. Salvatore Frandina, Marco Lippi, Marco Maggini, Stefano Melacci
      Pages 186-193
    7. Mikhail Suvorov, Sergey Ivliev, Garegin Markarian, Denis Kolev, Dmitry Zvikhachevskiy, Plamen Angelov
      Pages 194-207
  4. Brain-Machine Interaction and Bio-inspired Systems

    1. Ignas Martisius, Darius Birvinskas, Robertas Damasevicius, Vacius Jusas
      Pages 208-215
    2. Stefan Heinrich, Cornelius Weber, Stefan Wermter
      Pages 216-223
    3. Martin Spüler, Wolfgang Rosenstiel, Martin Bogdan
      Pages 224-231
    4. Stephan Tschechne, Georg Layher, Heiko Neumann
      Pages 232-239
    5. Yulia Sandamirskaya, Jörg Conradt
      Pages 248-255
  5. Cognitive Sciences and Neuroscience

    1. Marta Castellano, Gordon Pipa
      Pages 264-271
    2. Tobias Brosch, Friedhelm Schwenker, Heiko Neumann
      Pages 272-279
    3. Petia Georgieva, Fernando De la Torre
      Pages 288-295
    4. Mayumi Irifune, Robert H. Fujii
      Pages 296-303
    5. Timo Honkela, Klaus Förger
      Pages 312-318
    6. Parimala Alva, Giseli de Sousa, Ben Torben-Nielsen, Reinoud Maex, Rod Adams, Neil Davey et al.
      Pages 319-326
  6. Pattern Recognition and Classification

    1. Juan Manuel Alonso-Weber, M. Paz Sesmero, German Gutierrez, Agapito Ledezma, Araceli Sanchis
      Pages 335-342
    2. Petia Koprinkova-Hristova, Kiril Alexiev
      Pages 343-350
    3. Marjan Trutschl, Phillip C. S. R. Kilgore, Urška Cvek
      Pages 351-358
    4. Christian Vollmer, Horst-Michael Gross, Julian P. Eggert
      Pages 367-374
    5. Christo Panchev, Muhammad Naveed Anwar, Michael Oakes
      Pages 375-380
    6. Grégoire Lefebvre, Samuel Berlemont, Franck Mamalet, Christophe Garcia
      Pages 381-388
    7. Mashud Rana, Irena Koprinska, Abbas Khosravi
      Pages 389-396

About these proceedings

Introduction

The book constitutes the proceedings of the 23rd International Conference on Artificial Neural Networks, ICANN 2013, held in Sofia, Bulgaria, in September 2013. The 78 papers included in the proceedings were carefully reviewed and selected from 128 submissions. The focus of the papers is on following topics:neurofinance graphical network models, brain machine interfaces, evolutionary neural networks, neurodynamics, complex systems, neuroinformatics, neuroengineering, hybrid systems, computational biology, neural hardware, bioinspired embedded systems, and collective intelligence.

Keywords

computational neuroscience distributed learning evolving systems natural language processing turing machines

Editors and affiliations

  • Valeri Mladenov
    • 1
  • Petia Koprinkova-Hristova
    • 2
  • Günther Palm
    • 3
  • Alessandro E. P. Villa
    • 4
  • Bruno Appollini
    • 5
  • Nikola Kasabov
    • 6
  1. 1.Faculty Automation,Technical University of SofiaSofiaBulgaria
  2. 2.Institute of Information and Communication TechnologiesBulgarian Academy of SciencesSofiaBulgaria
  3. 3.Institute of Neural Information ProcessingUniversity of UlmUlmGermany
  4. 4.Quartier UNIL-Dorigny, Bâtiment InternefUniversité de LausanneLausanneSwitzerland
  5. 5.Department of Computer ScienceUniversity of MilanoMilanoItaly
  6. 6.Knowledge Engineering, School of Computing and Mathematical SciencesAuckland University of TechnologyAucklandNew Zealand

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-40728-4
  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-40727-7
  • Online ISBN 978-3-642-40728-4
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site