Ariana E. Anderson

Publication Activity (10 Years)

Years Active: 2010-2016
Publications (10 Years): 2

Top Topics

Matrix Factorization

Conditional Dependence

Bayes Classifier

Top Venues

Publications

Ariana E. Anderson, Wesley T. Kerr, April Thames, Tong Li, Jiayang Xiao, Mark S. Cohen
Electronic health record phenotyping improves detection and screening of type 2 diabetes in the general United States population: A cross-sectional, unselected, retrospective study. J. Biomed. Informatics 60 (2016)
Jianwen Xie, Pamela K. Douglas, Ying Nian Wu, Arthur L. Brody, Ariana E. Anderson
Decoding the Encoding of Functional Brain Networks: an fMRI Classification Comparison of Non-negative Matrix Factorization (NMF), Independent Component Analysis (ICA), and Sparse Coding Algorithms. CoRR (2016)
Ariana E. Anderson, Alison C. Burggren
Cognitive and neurodevelopmental benefits of extended formula-feeding in infants: Re: Deoni et al 2013. NeuroImage 100 (2014)
Wesley T. Kerr, Pamela K. Douglas, Ariana E. Anderson, Mark S. Cohen
The utility of data-driven feature selection: Re: Chu et al. 2012. NeuroImage 84 (2014)
Ariana E. Anderson, Pamela K. Douglas, Wesley T. Kerr, Virginia S. Haynes, Alan L. Yuille, Jianwen Xie, Ying Nian Wu, Jesse A. Brown, Mark S. Cohen
Non-negative matrix factorization of multimodal MRI, fMRI and phenotypic data reveals differential changes in default mode subnetworks in ADHD. NeuroImage 102 (2014)
Wesley T. Kerr, Eric S. Hwang, Kaavya R. Raman, Sarah E. Barritt, Akash B. Patel, Justine M. Le, Jessica M. Hori, Emily C. Davis, Chelsea T. Braesch, Emily A. Janio, Edward P. Lau, Andrew Y. Cho, Ariana E. Anderson, Daniel H. S. Silverman, Noriko Salamon, Jerome Engel, John M. Stern, Mark S. Cohen
Multimodal diagnosis of epilepsy using conditional dependence and multiple imputation. PRNI (2014)
Wesley T. Kerr, Andrew Y. Cho, Ariana E. Anderson, Pamela K. Douglas, Edward P. Lau, Eric S. Hwang, Kaavya R. Raman, Aaron Trefler, Mark S. Cohen, Stefan T. Nguyen, Navya M. Reddy, Daniel H. S. Silverman
Balancing Clinical and Pathologic Relevance in the Machine Learning Diagnosis of Epilepsy. PRNI (2013)
Ariana E. Anderson, Mark S. Cohen
Reducing Clinical Trial Costs by Detecting and Measuring the Placebo Effect and Treatment Effect Using Brain Imaging. MMVR (2013)
Wesley T. Kerr, Ariana E. Anderson, Hongjing Xia, Eric S. Braun, Edward P. Lau, Andrew Y. Cho, Mark S. Cohen
Parameter Selection in Mutual Information-Based Feature Selection in Automated Diagnosis of Multiple Epilepsies Using Scalp EEG. PRNI (2012)
Ariana E. Anderson, Dianna Han, Pamela K. Douglas, Jennifer Bramen, Mark S. Cohen
Real-Time Functional MRI Classification of Brain States Using Markov-SVM Hybrid Models: Peering Inside the rt-fMRI Black Box. MLINI (2011)
Ariana E. Anderson, Jennifer Bramen, Pamela K. Douglas, Agatha Lenartowicz, Andrew Y. Cho, Chris Culbertson, Arthur L. Brody, Alan L. Yuille, Mark S. Cohen
Large sample group independent component analysis of functional magnetic resonance imaging using anatomical atlas-based reduction and bootstrapped clustering. Int. J. Imaging Syst. Technol. 21 (2) (2011)
Ariana E. Anderson, Jennifer S. Labus, Eduardo P. Vianna, Emeran A. Mayer, Mark S. Cohen
Common component classification: What can we learn from machine learning? NeuroImage 56 (2) (2011)
Ariana E. Anderson, Ivo D. Dinov, Jonathan E. Sherin, Javier Quintana, Alan L. Yuille, Mark S. Cohen
Classification of spatially unaligned fMRI scans. NeuroImage 49 (3) (2010)