Advertisement

Artificial Neural Networks and Machine Learning – ICANN 2017

26th International Conference on Artificial Neural Networks, Alghero, Italy, September 11-14, 2017, Proceedings, Part II

  • Alessandra Lintas
  • Stefano Rovetta
  • Paul F.M.J. Verschure
  • Alessandro E.P. Villa

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10614)

Also part of the Theoretical Computer Science and General Issues book sub series (LNTCS, volume 10614)

Table of contents

  1. Front Matter
    Pages I-XXXI
  2. Convolutional Neural Networks

    1. Front Matter
      Pages 1-1
    2. Jacques Kaiser, David Zimmerer, J. Camilo Vasquez Tieck, Stefan Ulbrich, Arne Roennau, Rüdiger Dillmann
      Pages 3-11
    3. Darian Frajberg, Piero Fraternali, Rocio Nahime Torres
      Pages 12-20
    4. Bingzhe Wu, Zhichao Liu, Zhihang Yuan, Guangyu Sun, Charles Wu
      Pages 49-55
    5. Adrian-Cătălin Florea, John Anvik, Răzvan Andonie
      Pages 64-71
    6. Renato Torres, Orlando Ohashi, Eduardo Carvalho, Gustavo Pessin
      Pages 72-79
    7. Xianglai Meng, Biao Leng, Guanglu Song
      Pages 80-88
  3. Games and Strategy

    1. Front Matter
      Pages 89-89
    2. Ishai Rosenberg, Guillaume Sicard, Eli (Omid) David
      Pages 91-99
    3. Shihori Uchida, Sigeyuki Oba, Shin Ishii
      Pages 100-107
  4. Boltzmann Machines and Phase Transitions

    1. Front Matter
      Pages 109-109
    2. Srikanth Cherla, Son N. Tran, Artur d’Avila Garcez, Tillman Weyde
      Pages 111-119
    3. Simon Odense, Artur d’Avila Garcez
      Pages 120-127
    4. Krzysztof Gajowniczek, Leszek J. Chmielewski, Arkadiusz Orłowski, Tomasz Ząbkowski
      Pages 128-136
    5. Yuya Yoshikawa
      Pages 137-145
    6. Dinh Tran-Van, Alessandro Sperduti, Fabrizio Costa
      Pages 155-162
  5. Context Information Learning and Self-assessment in Advanced Machine Learning Models

    1. Front Matter
      Pages 163-163
    2. Federico Raue, Sebastian Palacio, Andreas Dengel, Marcus Liwicki
      Pages 165-173
    3. Ivano Lauriola, Mirko Polato, Fabio Aiolli
      Pages 183-191
    4. Katerina Kalou, Agostino Gibaldi, Andrea Canessa, Silvio P. Sabatini
      Pages 192-199
    5. Jennifer Kreger, Lydia Fischer, Stephan Hasler, Thomas H. Weisswange, Ute Bauer-Wersing
      Pages 200-207
    6. Jingshuang Liu, Wenge Rong, Chuan Tian, Min Gao, Zhang Xiong
      Pages 208-215
    7. Ángel Pérez-Lemonche, Gonzalo Martínez-Muñoz, Estrella Pulido-Cañabate
      Pages 224-232
    8. Antonios Karatzoglou, Harun Sentürk, Adrian Jablonski, Michael Beigl
      Pages 233-241
    9. Jianglong Song, Chengzhang Zhu, Wentao Zhao, Wenjie Liu, Qiang Liu
      Pages 242-249
    10. Cristina Vatamanu, Doina Cosovan, Dragoş Gavriluţ, Henri Luchian
      Pages 250-259
    11. Rolla Almodfer, Shengwu Xiong, Mohammed Mudhsh, Pengfei Duan
      Pages 260-267
  6. Representation and Classification

    1. Front Matter
      Pages 277-277
    2. Mirko Polato, Ivano Lauriola, Fabio Aiolli
      Pages 279-286
    3. Hong Yu, Yahong Lian, Shu Li, JiaXin Chen
      Pages 305-312
    4. Frank-Michael Schleif
      Pages 313-321
    5. Yao Lu, Chunyun Zhang, Weiran Xu
      Pages 322-330
    6. Alessandro Lulli, Luca Oneto, Davide Anguita
      Pages 331-339
    7. Guangxia Wang, Changqing Zhang, Pengfei Zhu, Qinghua Hu
      Pages 340-348
    8. Fady Medhat, David Chesmore, John Robinson
      Pages 349-358
    9. Jhoseph Jesus, Anne Canuto, Daniel Araújo
      Pages 359-367
    10. Ladislav Lenc, Pavel Král
      Pages 368-375
    11. Thais Viana, Carla Delgado, João C. P. da Silva, Priscila Lima
      Pages 376-384
    12. Luca Oneto, Andrea Coraddu, Paolo Sanetti, Olena Karpenko, Francesca Cipollini, Toine Cleophas et al.
      Pages 385-393

Other volumes

  1. 26th International Conference on Artificial Neural Networks, Alghero, Italy, September 11-14, 2017, Proceedings, Part I
  2. Artificial Neural Networks and Machine Learning – ICANN 2017
    26th International Conference on Artificial Neural Networks, Alghero, Italy, September 11-14, 2017, Proceedings, Part II

About these proceedings

Introduction

The two volume set, LNCS 10613 and 10614, constitutes the proceedings of then 26th International Conference on Artificial Neural Networks, ICANN 2017, held in Alghero, Italy, in September 2017.

 

The 128 full papers included in this volume were carefully reviewed and selected from 270 submissions. They were organized in topical sections named: From Perception to Action; From Neurons to Networks; Brain Imaging; Recurrent Neural Networks; Neuromorphic Hardware; Brain Topology and Dynamics; Neural Networks Meet Natural and Environmental Sciences; Convolutional Neural Networks; Games and Strategy; Representation and Classification; Clustering; Learning from Data Streams and Time Series; Image Processing and Medical Applications; Advances in Machine Learning.
There are 63 short paper abstracts that are included in the back matter of the volume.

Keywords

artificial intelligence bio-embedded electronics classification and regression trees computational complexity and cryptography computer vision computing methodologies formal languages and automata theory kernel methods learning algorithms learning in probabilistic graphical models machine learning algorithms machine learning approaches network dynamics network structure neural networks recurrent neural networks robotics

Editors and affiliations

  • Alessandra Lintas
    • 1
  • Stefano Rovetta
    • 2
  • Paul F.M.J. Verschure
    • 3
  • Alessandro E.P. Villa
    • 4
  1. 1.University of LausanneLausanneSwitzerland
  2. 2.University of GenoaGenoaItaly
  3. 3.Universitat Pompeu FabraBarcelonaSpain
  4. 4.University of LausanneLausanneSwitzerland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-68612-7
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-68611-0
  • Online ISBN 978-3-319-68612-7
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site