Skip to main content
  • Conference proceedings
  • © 2018

Neural Information Processing

25th International Conference, ICONIP 2018, Siem Reap, Cambodia, December 13–16, 2018, Proceedings, Part V

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11305)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Conference series link(s): ICONIP: International Conference on Neural Information Processing

Conference proceedings info: ICONIP 2018.

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

This is a preview of subscription content, log in via an institution to check for access.

Table of contents (50 papers)

  1. Front Matter

    Pages I-XXI
  2. Prediction

    1. Front Matter

      Pages 1-1
    2. Prediction of Taxi Demand Based on ConvLSTM Neural Network

      • Pengcheng Li, Min Sun, Mingzhou Pang
      Pages 15-25
    3. Prediction of Molecular Packing Motifs in Organic Crystals by Neural Graph Fingerprints

      • Daiki Ito, Raku Shirasawa, Shinnosuke Hattori, Shigetaka Tomiya, Gouhei Tanaka
      Pages 26-34
    4. A Multi-indicator Feature Selection for CNN-Driven Stock Index Prediction

      • Hui Yang, Yingying Zhu, Qiang Huang
      Pages 35-46
    5. Predicting Functional Interactions Among DNA-Binding Proteins

      • Matloob Khushi, Nazim Choudhury, Jonathan W. Arthur, Christine L. Clarke, J. Dinny Graham
      Pages 70-80
    6. BayesGrad: Explaining Predictions of Graph Convolutional Networks

      • Hirotaka Akita, Kosuke Nakago, Tomoki Komatsu, Yohei Sugawara, Shin-ichi Maeda, Yukino Baba et al.
      Pages 81-92
    7. Deep Multi-task Learning for Air Quality Prediction

      • Bin Wang, Zheng Yan, Jie Lu, Guangquan Zhang, Tianrui Li
      Pages 93-103
    8. Research on the Prediction Technology of Ice Hockey Based on Support Vector Machine

      • Mengying Li, Shanliang Xue, Sijia Cheng
      Pages 104-115
    9. Deep Structure of Gaussian Kernel Function Networks for Predicting Daily Peak Power Demands

      • Dae Hyeon Kim, Ye Jin Lee, Rhee Man Kil, Hee Yong Youn
      Pages 116-126
    10. Convolutional Model for Predicting SNP Interactions

      • Suneetha Uppu, Aneesh Krishna
      Pages 127-137
    11. Financial Data Forecasting Using Optimized Echo State Network

      • Junxiu Liu, Tiening Sun, Yuling Luo, Qiang Fu, Yi Cao, Jia Zhai et al.
      Pages 138-149
    12. Application of SMOTE and LSSVM with Various Kernels for Predicting Refactoring at Method Level

      • Lov Kumar, Shashank Mouli Satapathy, Aneesh Krishna
      Pages 150-161
    13. Deep Ensemble Model with the Fusion of Character, Word and Lexicon Level Information for Emotion and Sentiment Prediction

      • Deepanway Ghosal, Md Shad Akhtar, Asif Ekbal, Pushpak Bhattacharyya
      Pages 162-174
    14. Research on Usage Prediction Methods for O2O Coupons

      • Jie Wu, Yulai Zhang, Jianfen Wang
      Pages 175-183
  3. Pattern Recognition

    1. Front Matter

      Pages 197-197

About this book

The seven-volume set of LNCS 11301-11307 constitutes the proceedings of the 25th International Conference on Neural Information Processing, ICONIP 2018, held in Siem Reap, Cambodia, in December 2018.

The 401 full papers presented were carefully reviewed and selected from 575 submissions. The papers address the emerging topics of theoretical research, empirical studies, and applications of neural information processing techniques across different domains. The 5th volume, LNCS 11305, is organized in topical sections on prediction; pattern recognition; and word, text and document processing. 


Editors and Affiliations

  • The Chinese Academy of Sciences, Beijing, China

    Long Cheng

  • City University of Hong Kong, Kowloon, Hong Kong

    Andrew Chi Sing Leung

  • Kobe University, Kobe, Japan

    Seiichi Ozawa

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