Machine learning and interpretation in neuroimaging : 4th International Workshop, MLINI 2014, held at NIPS 2014, Montreal, QC, Canada, December 13, 2014, Revised selected papers / Irina Rish, Georg Langs, Leila Wehbe, Guillermo Cecchi, Kai-min Kevin Chang, Brian Murphy (eds.).
MLINI (Workshop) (4th : 2014 : Montréal, Québec); Rish, Irina, 1969- editor.; Langs, Georg, editor.; Wehbe, Leila, editor.; Cecchi, Guillermo A., editor.; Chang, Kai-min Kevin, editor.; Murphy, Brian, editor.; NIPS (Conference) (2014 : Montréal, Québec), jointly held conference.
2016
Q325.5 .M55 2014eb
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Title Machine learning and interpretation in neuroimaging : 4th International Workshop, MLINI 2014, held at NIPS 2014, Montreal, QC, Canada, December 13, 2014, Revised selected papers / Irina Rish, Georg Langs, Leila Wehbe, Guillermo Cecchi, Kai-min Kevin Chang, Brian Murphy (eds.).
Meeting Name MLINI (Workshop) (4th : 2014 : Montréal, Québec)
ISBN 9783319451749 (electronic book)
331945174X (electronic book)
9783319451732
DOI https://doi.org/10.1007/978-3-319-45174-9
Published Cham, Switzerland : Springer, 2016.
Language English
Description 1 online resource (x, 129 pages) : illustrations.
Item Number 10.1007/978-3-319-45174-9 doi
Call Number Q325.5 .M55 2014eb
Dewey Decimal Classification 006.3/1
Summary 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.
Note Includes author index.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed September 23, 2016).
Added Author Rish, Irina, 1969- editor.
Langs, Georg, editor.
Wehbe, Leila, editor.
Cecchi, Guillermo A., editor.
Chang, Kai-min Kevin, editor.
Murphy, Brian, editor.
Added Meeting Name NIPS (Conference) (2014 : Montréal, Québec), jointly held conference.
Series Lecture notes in computer science. Lecture notes in artificial intelligence ; 9444.
LNCS sublibrary. SL 7, Artificial intelligence.
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
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Networks and Decoding
Multi-Task Learning for Interpretation of Brain Decoding Models
The New Graph Kernels on Connectivity Networks for Identification of MCI
Mapping Tractography Across Subjects
Speech
Automated speech analysis for psychosis evaluation
Combining different modalities in classifying phonological categories
Clinics and cognition
Label-alignment-based Multi-task Feature Selection for Multimodal Classification of Brain Disease
Leveraging Clinical Data to Enhance Localization of Brain Atrophy
Estimating Learning Effects: A Short-Time Fourier Transform Regression Model for MEG Source Localization
Causality and time-series
Classification-based Causality Detection in Time Series
Fast and Improved SLEX Analysis of High-dimensional Time Series
Best paper awards: MLINI 2013
Predicting Short-Term Cognitive Change from Longitudinal Neuroimaging Analysis
Hyperalignment of Multi-Subject fMRI Data by Synchronized Projections
An oblique approach to prediction of conversion to Alzheimer's Disease with multikernel Gaussian Processes. .

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