Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10362)
Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)
Included in the following conference series:
Conference proceedings info: ICIC 2017.
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About this book
This three-volume set LNCS 10361, LNCS 10362, and LNAI 10363 constitutes the refereed proceedings of the 13th International Conference on Intelligent Computing, ICIC 2017, held in Liverpool, UK, in August 2017.
The 221 full papers and 15 short papers of the three proceedings volumes were carefully reviewed and selected from 639 submissions. This second volume of the set comprises 74 papers. The papers are organized in topical sections such as Pattern Recognition; Image Processing; Virtual Reality and Human-Computer Interaction; Healthcare Informatics Theory and Methods; Genetic Algorithms; Blind Source Separation; Intelligent Fault Diagnosis; Machine Learning; Knowledge Discovery and Data Mining; Gene Expression Array Analysis; Systems Biology; Modeling, Simulation, and Optimization of Biological Systems; Intelligent Computing in Computational Biology; Computational Genomics; Computational Proteomics; Gene Regulation Modeling and Analysis; SNPs and Haplotype Analysis; Protein-Protein Interaction Prediction; Protein Structure and Function Prediction; Next-Gen Sequencing and Metagenomics; Structure Prediction and Folding; Biomarker Discovery; Applications of Machine Learning Techniques to Computational Proteomics, Genomics, and Biological Sequence Analysis; Biomedical Image Analysis; Human-Machine Interaction: Shaping Tools Which Will Shape Us; Protein and Gene Bioinformatics: Analysis, Algorithms and Applications; Special Session on Computer Vision based Navigation; Neural Networks: Theory and Application.
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Keywords
- biological networks
- computer vision
- ensemble methods
- kernel methods
- neural networks
- artificial intelligence
- bioinformatics
- computational biology
- computational genomics
- data mining and clustering
- deep learning
- dimensionality reduction and manifold learning
- feature selection
- molecular sequence analysis
- motif discovery
- reinforcement learning
- semi-supervised learning
- supervised learning
- support vector machines
- unsupervised learning
Table of contents (74 papers)
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Front Matter
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Pattern Recognition
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Front Matter
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Virtual Reality and Human-Computer Interaction
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Front Matter
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Healthcare Informatics Theory and Methods
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Front Matter
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Genetic Algorithms
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Front Matter
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Blind Source Separation
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Front Matter
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Intelligent Fault Diagnosis
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Front Matter
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Machine Learning
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Front Matter
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Knowledge Discovery and Data Mining
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Front Matter
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Other volumes
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Intelligent Computing Theories and Application
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Intelligent Computing Theories and Application
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Intelligent Computing Methodologies
Editors and Affiliations
Bibliographic Information
Book Title: Intelligent Computing Theories and Application
Book Subtitle: 13th International Conference, ICIC 2017, Liverpool, UK, August 7-10, 2017, Proceedings, Part II
Editors: De-Shuang Huang, Kang-Hyun Jo, Juan Carlos Figueroa-García
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-63312-1
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Softcover ISBN: 978-3-319-63311-4Published: 20 July 2017
eBook ISBN: 978-3-319-63312-1Published: 18 July 2017
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXIII, 841
Number of Illustrations: 274 b/w illustrations
Topics: Information Systems Applications (incl. Internet), Image Processing and Computer Vision, Pattern Recognition, Computational Biology/Bioinformatics, Artificial Intelligence, Computation by Abstract Devices