Machine Learning and Interpretation in Neuroimaging
4th International Workshop, MLINI 2014, Held at NIPS 2014, Montreal, QC, Canada, December 13, 2014, Revised Selected Papers
Editors: Rish, I., Langs, G., Wehbe, L., Cecchi, G., Chang, K.-m.K., Murphy, B. (Eds.)
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- About this book
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This book constitutes the revised selected papers from the 4th International Workshop on Machine Learning and Interpretation in Neuroimaging, MLINI 2014, held in Montreal, QC, Canada, in December 2014 as a satellite event of the 11th annual conference on Neural Information Processing Systems, NIPS 2014.
The 10 MLINI 2014 papers presented in this volume were carefully reviewed and selected from 17 submissions. They were organized in topical sections named: networks and decoding; speech; clinics and cognition; and causality and time-series. In addition, the book contains the 3 best papers presented at MLINI 2013.
- Table of contents (13 chapters)
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Multi-Task Learning for Interpretation of Brain Decoding Models
Pages 3-11
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The New Graph Kernels on Connectivity Networks for Identification of MCI
Pages 12-20
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Mapping Tractography Across Subjects
Pages 21-28
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Automated Speech Analysis for Psychosis Evaluation
Pages 31-39
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Combining Different Modalities in Classifying Phonological Categories
Pages 40-48
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Table of contents (13 chapters)
- Download Preface 1 PDF (42.3 KB)
- Download Sample pages 2 PDF (335.7 KB)
- Download Table of contents PDF (58.1 KB)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Machine Learning and Interpretation in Neuroimaging
- Book Subtitle
- 4th International Workshop, MLINI 2014, Held at NIPS 2014, Montreal, QC, Canada, December 13, 2014, Revised Selected Papers
- Editors
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- Irina Rish
- Georg Langs
- Leila Wehbe
- Guillermo Cecchi
- Kai-min Kevin Chang
- Brian Murphy
- Series Title
- Lecture Notes in Artificial Intelligence
- Series Volume
- 9444
- Copyright
- 2016
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer International Publishing AG
- eBook ISBN
- 978-3-319-45174-9
- DOI
- 10.1007/978-3-319-45174-9
- Softcover ISBN
- 978-3-319-45173-2
- Edition Number
- 1
- Number of Pages
- X, 129
- Number of Illustrations
- 30 b/w illustrations
- Topics
