Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11976)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
Conference proceedings info: BI 2019.
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Table of contents (26 papers)
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Informatics Paradigms for Brain and Mental Health Research
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Brain-Machine Intelligence and Brain-Inspired Computing
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Special Session on Computational Social Analysis for Mental Health
Other volumes
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Brain Informatics
Keywords
- artificial intelligence
- brain computer interface
- classification
- clustering
- computer networks
- data mining
- eeg signals
- image processing
- information retrieval
- interfaces (computer)
- machine learning techniques
- neuroimaging
- principal component analysis
- routing algorithms
- signal processing
- Support Vector Machines (SVM)
- wavelet transforms
About this book
The 26 revised full papers were carefully reviewed and selected from 36 submissions. The papers are organized in the following topical sections: cognitive and computational foundations of brain science; human information processing systems; brain big data analysis, curation and management; informatics paradigms for brain and mental health research; and brain-machine intelligence and brain-inspired computing. Also included is a special session on computational social analysis for mental health.
Editors and Affiliations
Bibliographic Information
Book Title: Brain Informatics
Book Subtitle: 12th International Conference, BI 2019, Haikou, China, December 13–15, 2019, Proceedings
Editors: Peipeng Liang, Vinod Goel, Chunlei Shan
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-37078-7
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-030-37077-0Published: 05 December 2019
eBook ISBN: 978-3-030-37078-7Published: 05 December 2019
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XV, 274
Number of Illustrations: 58 b/w illustrations, 87 illustrations in colour
Topics: Artificial Intelligence, Data Mining and Knowledge Discovery, Models and Principles, Computer Imaging, Vision, Pattern Recognition and Graphics
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