Predictive fMRI Analysis for Multiple Subjects and Multiple Studies
Modeling fMRI data generated by overlapping cognitive processes with unknown onsets using Hidden Process Model (with Rebecca A. Hutchinson, Radu Stefan Niculescu, Timothy A. Keller, and Tom M. Mitchell), NeuroImage 46(1), 2009.
Refereed Conference Papers
Hidden Process Models (with Rebecca Hutchinson and Tom Mitchell),
23rd International Conference on Machine Learning, 2006.
Refereed Workshop Papers
Integrating Multiple-Study Multiple-Subject fMRI Datasets Using Canonical Correlation Analysis (with Marcel Adam Just and Tom M. Mitchell), Proceedings of the MICCAI 2009 Workshop: Statistical modeling and detection issues in intra- and inter-subject functional MRI data analysis, 2009.
Hierarchical Gaussian Naïve Bayes Classifier for Multiple-Subject fMRI Data, New Directions on Decoding Mental States from fMRI Data, NIPS Workshop, 2006.
fMRI Data Using the Hierarchical Gaussian Naïve Bayes
Classifier, 13th Conference on Human Brain Mapping, 2007.
Learning to Identify Overlapping and Hidden Cognitive Processes from fMRI Data (with Rebecca Hutchinson and Tom Mitchell), 11th Conference on Human Brain Mapping, 2005.
Feature Selection on Raw and Wavelet-Transformed fMRI Data, CNBC Retreat, October 2005.