Machine Learning and Interpretation in Neuroimaging 4th International Workshop, MLINI 2014, Held at NIPS 2014, Montreal, QC, Canada, December 13, 2014, Revised Selected Papers

Machine Learning and Interpretation in Neuroimaging 4th International Workshop, MLINI 2014, Held at NIPS 2014, Montreal, QC, Canada, December 13, 2014, Revised Selected Papers / edited by Irina Rish, Georg Langs, Leila Wehbe, Guillermo Cecchi, Kai-min Kevin Chang, Brian Murphy.

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 2...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Rish, Irina (Editor), Langs, Georg (Editor), Wehbe, Leila (Editor), Cecchi, Guillermo (Editor), Chang, Kai-min Kevin (Editor), Murphy, Brian (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edition:1st ed. 2016.
Series:Lecture Notes in Artificial Intelligence ; 9444
Springer eBook Collection.
Subjects:
Pattern recognition.
Optical data processing.
Artificial intelligence.
Application software.
Mathematical statistics.
Data mining.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • 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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