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© 2018

Artificial Neural Networks and Machine Learning – ICANN 2018

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

  • 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 11141)

Also part of the Theoretical Computer Science and General Issues book sub series (LNTCS, volume 11141)

Table of contents

  1. Front Matter
    Pages I-XXIX
  2. Recurrent ANN

    1. Front Matter
      Pages 1-1
    2. R. Ramamurthy, C. Bauckhage, R. Sifa, S. Wrobel
      Pages 3-12
    3. Rafet Sifa, Daniel Paurat, Daniel Trabold, Christian Bauckhage
      Pages 13-22
    4. Eleonora Giunchiglia, Anton Nemchenko, Mihaela van der Schaar
      Pages 23-32
    5. Amy Nesky, Quentin F. Stout
      Pages 51-61
    6. Jingfei Han, Wenge Rong, Fang Zhang, Yutao Zhang, Jie Tang, Zhang Xiong
      Pages 84-93
    7. Mark Collier, Joeran Beel
      Pages 94-104
    8. Zengwei Zheng, Yanzhen Zhou, Lin Sun, Jianping Cai
      Pages 105-115
    9. Giuseppe Marra, Andrea Zugarini, Stefano Melacci, Marco Maggini
      Pages 126-136
    10. Manfred Eppe, Tayfun Alpay, Stefan Wermter
      Pages 137-146
    11. João Olegário de Oliveira de Souza, José Vicente Canto dos Santos, Rodrigo Marques de Figueiredo, Gustavo Pessin
      Pages 147-156
    12. Amit Gajbhiye, Sardar Jaf, Noura Al Moubayed, A. Stephen McGough, Steven Bradley
      Pages 157-167
    13. Mohammad Hovaidi-Ardestani, Nitin Saini, Aleix M. Martinez, Martin A. Giese
      Pages 168-177
    14. Dongjie Zhang, Zheng Fang, Yanan Cao, Yanbing Liu, Xiaojun Chen, Jianlong Tan
      Pages 178-188

Other volumes

  1. 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. Artificial Neural Networks and Machine Learning – ICANN 2018
    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