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  • Conference proceedings
  • © 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

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11141)

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 2018.

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Table of contents (80 papers)

  1. Front Matter

    Pages I-XXIX
  2. Recurrent ANN

    1. Front Matter

      Pages 1-1
    2. Policy Learning Using SPSA

      • R. Ramamurthy, C. Bauckhage, R. Sifa, S. Wrobel
      Pages 3-12
    3. Simple Recurrent Neural Networks for Support Vector Machine Training

      • Rafet Sifa, Daniel Paurat, Daniel Trabold, Christian Bauckhage
      Pages 13-22
    4. RNN-SURV: A Deep Recurrent Model for Survival Analysis

      • Eleonora Giunchiglia, Anton Nemchenko, Mihaela van der Schaar
      Pages 23-32
    5. Neural Networks with Block Diagonal Inner Product Layers

      • Amy Nesky, Quentin F. Stout
      Pages 51-61
    6. Interactive Area Topics Extraction with Policy Gradient

      • Jingfei Han, Wenge Rong, Fang Zhang, Yutao Zhang, Jie Tang, Zhang Xiong
      Pages 84-93
    7. Implementing Neural Turing Machines

      • Mark Collier, Joeran Beel
      Pages 94-104
    8. A RNN-Based Multi-factors Model for Repeat Consumption Prediction

      • Zengwei Zheng, Yanzhen Zhou, Lin Sun, Jianping Cai
      Pages 105-115
    9. An Unsupervised Character-Aware Neural Approach to Word and Context Representation Learning

      • Giuseppe Marra, Andrea Zugarini, Stefano Melacci, Marco Maggini
      Pages 126-136
    10. Towards End-to-End Raw Audio Music Synthesis

      • Manfred Eppe, Tayfun Alpay, Stefan Wermter
      Pages 137-146
    11. Real-Time Hand Prosthesis Biomimetic Movement Based on Electromyography Sensory Signals Treatment and Sensors Fusion

      • João Olegário de Oliveira de Souza, José Vicente Canto dos Santos, Rodrigo Marques de Figueiredo, Gustavo Pessin
      Pages 147-156
    12. An Exploration of Dropout with RNNs for Natural Language Inference

      • Amit Gajbhiye, Sardar Jaf, Noura Al Moubayed, A. Stephen McGough, Steven Bradley
      Pages 157-167
    13. Neural Model for the Visual Recognition of Animacy and Social Interaction

      • Mohammad Hovaidi-Ardestani, Nitin Saini, Aleix M. Martinez, Martin A. Giese
      Pages 168-177
    14. Attention-Based RNN Model for Joint Extraction of Intent and Word Slot Based on a Tagging Strategy

      • Dongjie Zhang, Zheng Fang, Yanan Cao, Yanbing Liu, Xiaojun Chen, Jianlong Tan
      Pages 178-188

About this book

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.

Editors and Affiliations

  • Czech Academy of Sciences, Prague 8, Czech Republic

    Věra Kůrková

  • Open University of Cyprus, Latsia, Cyprus

    Yannis Manolopoulos

  • CITEC Bielefeld University, Bielefeld, Germany

    Barbara Hammer

  • Democritus University of Thrace, Xanthi, Greece

    Lazaros Iliadis

  • University of Piraeus, Piraeus, Greece

    Ilias Maglogiannis

Bibliographic Information

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
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