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MLINI@NIPS 2014: Montreal, Quebec, Canada
- Irina Rish, Georg Langs, Leila Wehbe, Guillermo A. Cecchi, Kai-min Kevin Chang, Brian Murphy:
Machine Learning and Interpretation in Neuroimaging - 4th International Workshop, MLINI 2014, Held at NIPS 2014, Montreal, QC, Canada, December 13, 2014, Revised Selected Papers. Lecture Notes in Computer Science 9444, Springer 2016, ISBN 978-3-319-45173-2
Networks and Decoding
- Seyed Mostafa Kia
, Sandro Vega-Pons, Emanuele Olivetti
Multi-Task Learning for Interpretation of Brain Decoding Models. 3-11 - Biao Jie, Xi Jiang
The New Graph Kernels on Connectivity Networks for Identification of MCI. 12-20 - Thien Bao Nguyen
Mapping Tractography Across Subjects. 21-28
Speech
- Facundo Carrillo, Natalia Mota, Mauro Copelli
Automated Speech Analysis for Psychosis Evaluation. 31-39 - Shunan Zhao, Frank Rudzicz
Combining Different Modalities in Classifying Phonological Categories. 40-48
Clinics and Cognition
- Chen Zu, Biao Jie, Songcan Chen, Daoqiang Zhang:
Label-Alignment-Based Multi-Task Feature Selection for Multimodal Classification of Brain Disease. 51-59 - João M. Monteiro, Anil Rao, John Ashburner, John Shawe-Taylor
Leveraging Clinical Data to Enhance Localization of Brain Atrophy. 60-68 - Ying Yang, Michael J. Tarr, Robert E. Kass:
Estimating Learning Effects: A Short-Time Fourier Transform Regression Model for MEG Source Localization. 69-82
Causality and Time-Series
- Danilo Benozzo, Emanuele Olivetti
Classification-Based Causality Detection in Time Series. 85-93 - Ahmed Hefny, Robert E. Kass, Sanjeev Khanna, Matthew A. Smith, Geoffrey J. Gordon:
Fast and Improved SLEX Analysis of High-Dimensional Time Series. 94-103
Best Paper Awards: MLINI 2013
- Michael H. Coen, M. Hidayath Ansari, Barbara B. Bendlin
Predicting Short-Term Cognitive Change from Longitudinal Neuroimaging Analysis. 107-114 - Raif M. Rustamov, Leonidas J. Guibas:
Hyperalignment of Multi-subject fMRI Data by Synchronized Projections. 115-121 - Jonathan Young, Marc Modat
An Oblique Approach to Prediction of Conversion to Alzheimer's Disease with Multikernel Gaussian Processes. 122-128
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