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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 I

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

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 (78 papers)

  1. Front Matter

    Pages I-XLIII
  2. CNN/Natural Language

    1. Front Matter

      Pages 1-1
    2. Fast CNN Pruning via Redundancy-Aware Training

      • Xiao Dong, Lei Liu, Guangli Li, Peng Zhao, Xiaobing Feng
      Pages 3-13
    3. Two-Stream Convolutional Neural Network for Multimodal Matching

      • Youcai Zhang, Yiwei Gu, Xiaodong Gu
      Pages 14-21
    4. Kernel Graph Convolutional Neural Networks

      • Giannis Nikolentzos, Polykarpos Meladianos, Antoine Jean-Pierre Tixier, Konstantinos Skianis, Michalis Vazirgiannis
      Pages 22-32
    5. A Histogram of Oriented Gradients for Broken Bars Diagnosis in Squirrel Cage Induction Motors

      • Luiz C. Silva, Cleber G. Dias, Wonder A. L. Alves
      Pages 33-42
    6. Detection of Fingerprint Alterations Using Deep Convolutional Neural Networks

      • Yahaya Isah Shehu, Ariel Ruiz-Garcia, Vasile Palade, Anne James
      Pages 51-60
    7. Neural Networks for Multi-lingual Multi-label Document Classification

      • Jiří Martínek, Ladislav Lenc, Pavel Král
      Pages 73-83
    8. Multi-region Ensemble Convolutional Neural Network for Facial Expression Recognition

      • Yingruo Fan, Jacqueline C. K. Lam, Victor O. K. Li
      Pages 84-94
    9. Further Advantages of Data Augmentation on Convolutional Neural Networks

      • Alex Hernández-García, Peter König
      Pages 95-103
    10. DTI-RCNN: New Efficient Hybrid Neural Network Model to Predict Drug–Target Interactions

      • Xiaoping Zheng, Song He, Xinyu Song, Zhongnan Zhang, Xiaochen Bo
      Pages 104-114
    11. Direct Training of Dynamic Observation Noise with UMarineNet

      • Stefan Oehmcke, Oliver Zielinski, Oliver Kramer
      Pages 123-133
    12. Convolutional Soft Decision Trees

      • Alper Ahmetoğlu, Ozan İrsoy, Ethem Alpaydın
      Pages 134-141
    13. A Multi-level Attention Model for Text Matching

      • Qiang Sun, Yue Wu
      Pages 142-153
    14. Attention Enhanced Chinese Word Embeddings

      • Xingzhang Ren, Leilei Zhang, Wei Ye, Hang Hua, Shikun Zhang
      Pages 154-165
    15. Balancing Convolutional Neural Networks Pipeline in FPGAs

      • Mark Cappello Ferreira de Sousa, Miguel Angelo de Abreu de Sousa, Emilio Del-Moral-Hernandez
      Pages 166-175
    16. Generating Diverse and Meaningful Captions

      • Annika Lindh, Robert J. Ross, Abhijit Mahalunkar, Giancarlo Salton, John D. Kelleher
      Pages 176-187

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