Intelligent Computing Theories and Methodologies

11th International Conference, ICIC 2015, Fuzhou, China, August 20-23, 2015, Proceedings, Part II

  • De-Shuang Huang
  • Kang-Hyun Jo
  • Abir Hussain

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9226)

Also part of the Information Systems and Applications, incl. Internet/Web, and HCI book sub series (LNISA, volume 9226)

Table of contents

  1. Front Matter
    Pages I-XXIX
  2. Guo-Sheng Hao, Chang-Shuai Chen, Gai-Ge Wang, Yong-Qing Huang, De-Xuan Zhou, Zhao-Jun Zhang
    Pages 1-12
  3. Gang Luo, Yawei Zhao
    Pages 68-79
  4. Guo-Wei Yang, Hui-Fang Jing
    Pages 104-114
  5. Zhiyu Liu, Lin Zhu, Xiao-Ping Zhang, Xiaobo Zhou, Li Shang, Zhi-Kai Huang et al.
    Pages 115-123
  6. Fei Luo, Chunhua Gu, Xu Fang, Yi Tang
    Pages 124-134
  7. Alexander Filonenko, Danilo Cáceres Hernández, Andrey Vavilin, Taeho Kim, Kang-Hyun Jo
    Pages 135-144
  8. Ze-Xue Li, Xiao-Ping Zhang, Li Shang, Zhi-Kai Huang, Hao-Dong Zhu, Yong Gan
    Pages 145-154
  9. Gong-Sheng Xu, Jing-Hua Yuan, Xiao-Ping Zhang, Li Shang, Zhi-Kai Huang, Hao-Dong Zhu et al.
    Pages 155-164
  10. Yang Liu, Zhan-Li Sun, Yun Jing, Yang Qian, De-Xiang Zhang
    Pages 165-169
  11. Ce Li, Qiang Ma, Limei Xiao, Ming Li, Aihua Zhang
    Pages 170-176
  12. Hongwei Jiang, Jun Liu, Keyang Luo, Wei Hu, Xiaoming Liu
    Pages 177-184
  13. Joko Hariyono, Danilo Cáceres Hernández, Kang-Hyun Jo
    Pages 185-194

Other volumes

  1. 11th International Conference, ICIC 2015, Fuzhou, China, August 20-23, 2015, Proceedings, Part I
  2. Intelligent Computing Theories and Methodologies
    11th International Conference, ICIC 2015, Fuzhou, China, August 20-23, 2015, Proceedings, Part II
  3. 11th International Conference, ICIC 2015, Fuzhou, China, August 20-23, 2015. Proceedings, Part III

About these proceedings

Introduction

This two-volume set LNCS 9225 and LNCS 9226 constitutes - in conjunction with the volume LNAI 9227 - the refereed proceedings of the 11th International Conference on Intelligent Computing, ICIC 2015, held in Fuzhou, China, in August 2015. The 191 full papers and 42 short papers of this volume were carefully reviewed and selected from 191 submissions. The papers are organized in topical sections such as evolutionary computation and learning; compressed sensing, sparse coding and social computing; neural networks, nature inspired computing and optimization; pattern recognition and signal processing; image processing; biomedical informatics theory and methods; differential evolution, particle swarm optimization and niche technology; intelligent computing and knowledge discovery and data mining; soft computing and machine learning; computational biology, protein structure and function prediction; genetic algorithms; artificial bee colony algorithms; swarm intelligence and optimization; social computing; information security; virtual reality and human-computer interaction; healthcare informatics theory and methods; unsupervised learning; collective intelligence; intelligent computing in robotics; intelligent computing in communication networks; intelligent control and automation; intelligent data analysis and prediction; gene expression array analysis; gene regulation modeling and analysis; protein-protein interaction prediction; biology inspired computing and optimization; analysis and visualization of large biological data sets; motif detection; biomarker discovery; modeling; simulation; and optimization of biological systems; biomedical data modeling and mining; intelligent computing in biomedical signal/image analysis; intelligent computing in brain imaging; neuroinformatics; cheminformatics; intelligent computing in computational biology; computational genomics; special session on biomedical data integration and mining in the era of big data; special session on big data analytics; special session on artificial intelligence for ambient assisted living; and special session on swarm intelligence with discrete dynamics.

Keywords

Artificial intelligence Bioinformatics Biological networks Computational biology Computational genomics Computer vision Data mining and Clustering Deep learning Dimensionality reduction and manifold learning Ensemble methods Feature selection Kernel methods Molecular sequence analysis Motif discovery Neural networks Reinforcement learning Semi-supervised learning Supervised learning Support vector machines Unsupervised learning

Editors and affiliations

  • De-Shuang Huang
    • 1
  • Kang-Hyun Jo
    • 2
  • Abir Hussain
    • 3
  1. 1.Tongji UniversityShanghaiChina
  2. 2.University of UlsanUlsanKorea (Republic of)
  3. 3.Liverpool John Moores UniversityLiverpoolUnited Kingdom

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-22186-1
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-22185-4
  • Online ISBN 978-3-319-22186-1
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book
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