Intelligent Computing Theories and Methodologies

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

  • De-Shuang Huang
  • Vitoantonio Bevilacqua
  • Prashan Premaratne

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9225)

Also part of the Information Systems and Applications, incl. Internet/Web, and HCI book sub series (LNISA, volume 9225)

Table of contents

  1. Front Matter
    Pages I-XXIX
  2. Hongyi Su, Xianfei Lin, Caiqun Wang, Bo Yan, Hong Zheng
    Pages 1-10
  3. Yi Yunfei, Lin Xiaodong, Sheng Kang, Cai Yongle
    Pages 11-22
  4. Liyun Gong, Tingting Mu, John Y. Goulermas
    Pages 23-33
  5. Qun Niu, Wenjun Peng, Letian Zhang
    Pages 34-45
  6. Shihong Yao, Tao Wang, Weiming Shen, Shaoming Pan, Yanwen Chong
    Pages 58-64
  7. Yasong Jiang, Yuan Huang, Peng Li, Shengxiang Gao, Yan Zhang, Yonghong Yan
    Pages 76-84
  8. Shilei Qiao, Yongquan Zhou, Rui Wang, Yuxiang Zhou
    Pages 85-96
  9. Xianghong Lin, Ning Zhang, Xiangwen Wang
    Pages 106-115
  10. David Reid, Hissam Tawfik, Abir Jaafar Hussain, Haya Al-Askar
    Pages 116-123
  11. Bei Zhang, Min-Xia Zhang, Jie-Feng Zhang, Yu-Jun Zheng
    Pages 124-136
  12. Xiao-Bei Wu, Jie Liao, Zhi-Cheng Wang
    Pages 137-146
  13. Jinli Xie, Jianyu Zhao, Qinjun Zhao
    Pages 159-166
  14. Jiqian Liu, Chunli Song, Chengbin Zeng
    Pages 167-176

Other volumes

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


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.


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
  • Vitoantonio Bevilacqua
    • 2
  • Prashan Premaratne
    • 3
  1. 1.Tongji UniversityShanghaiChina
  2. 2.Polytecnic of BariBariItaly
  3. 3.University of WollongongNorth WollongongAustralia

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-22179-3
  • Online ISBN 978-3-319-22180-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book
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