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
Conference proceedings MLINI 2014, MLINI 2013

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9444)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 9444)

Table of contents

  1. Front Matter
    Pages I-X
  2. Networks and Decoding

    1. Front Matter
      Pages 1-1
    2. Seyed Mostafa Kia, Sandro Vega-Pons, Emanuele Olivetti, Paolo Avesani
      Pages 3-11
    3. Biao Jie, Xi Jiang, Chen Zu, Daoqiang Zhang
      Pages 12-20
    4. Thien Bao Nguyen, Emanuele Olivetti, Paolo Avesani
      Pages 21-28
  3. Speech

    1. Front Matter
      Pages 29-29
    2. Facundo Carrillo, Natalia Mota, Mauro Copelli, Sidarta Ribeiro, Mariano Sigman, Guillermo Cecchi et al.
      Pages 31-39
  4. Clinics and Cognition

    1. Front Matter
      Pages 49-49
    2. João M. Monteiro, Anil Rao, John Ashburner, John Shawe-Taylor, Janaina Mourão-Miranda
      Pages 60-68
  5. Causality and Time-Series

    1. Front Matter
      Pages 83-83
    2. Danilo Benozzo, Emanuele Olivetti, Paolo Avesani
      Pages 85-93
    3. Ahmed Hefny, Robert E. Kass, Sanjeev Khanna, Matthew Smith, Geoffrey J. Gordon
      Pages 94-103
  6. Best Paper Awards: MLINI 2013

    1. Front Matter
      Pages 105-105
    2. Michael H. Coen, M. Hidayath Ansari, Barbara B. Bendlin
      Pages 107-114
    3. Raif M. Rustamov, Leonidas Guibas
      Pages 115-121
    4. Jonathan Young, Marc Modat, Manuel J. Cardoso, John Ashburner, Sebastien Ourselin
      Pages 122-128
  7. Back Matter
    Pages 129-129

About these proceedings

Introduction

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.

Keywords

brain imaging life and medical sciences machine learning neural systems pattern recognition classification computer applications data mining and knowledge discovery electroencephalography fMRI Gaussian processes image processing and computer vision matrix deflation mild cognitive impairment multi-modality multi-task learning phonological categories regression speech articulation time series

Editors and affiliations

  • Irina Rish
    • 1
  • Georg Langs
    • 2
  • Leila Wehbe
    • 3
  • Guillermo Cecchi
    • 4
  • Kai-min Kevin Chang
    • 5
  • Brian Murphy
    • 6
  1. 1.IBM T.J. Watson Research Center Yorktown HeightsUSA
  2. 2.Medical University of Vienna ViennaAustria
  3. 3.University of CaliforniaBerkeleyUSA
  4. 4.T.J. Watson Research Center Yorktown HeightsUSA
  5. 5.Carnegie Mellon University PittsburghUSA
  6. 6.Queen's University Belfast BelfastUnited Kingdom

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-45174-9
  • Copyright Information Springer International Publishing AG 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-45173-2
  • Online ISBN 978-3-319-45174-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book