Ariana E. Anderson

14 papers Journal 8Unranked 5

Year	Rank	Type	Title / Venue / Authors
2019	—	`ch.`	Feature Fallacy: Complications with Interpreting Linear Decoding Weights in fMRI. Explainable AI Pamela K. Douglas, Ariana E. Anderson
2016	J	`jnl`	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 Jianwen Xie, Pamela K. Douglas, Ying Nian Wu, Arthur L. Brody, Ariana E. Anderson
2016	J	`jnl`	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 Ariana E. Anderson, Wesley T. Kerr, April Thames, Tong Li, Jiayang Xiao, Mark S. Cohen
2014	J	`jnl`	Cognitive and neurodevelopmental benefits of extended formula-feeding in infants: Re: Deoni et al 2013. NeuroImage Ariana E. Anderson, Alison C. Burggren
2014	—	`conf`	Multimodal diagnosis of epilepsy using conditional dependence and multiple imputation. PRNI 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
2014	J	`jnl`	Non-negative matrix factorization of multimodal MRI, fMRI and phenotypic data reveals differential changes in default mode subnetworks in ADHD. NeuroImage 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
2014	J	`jnl`	The utility of data-driven feature selection: Re: Chu et al. 2012. NeuroImage Wesley T. Kerr, Pamela K. Douglas, Ariana E. Anderson, Mark S. Cohen
2013	—	`conf`	Balancing Clinical and Pathologic Relevance in the Machine Learning Diagnosis of Epilepsy. PRNI 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
2013	—	`conf`	Reducing Clinical Trial Costs by Detecting and Measuring the Placebo Effect and Treatment Effect Using Brain Imaging. MMVR Ariana E. Anderson, Mark S. Cohen
2012	—	`conf`	Parameter Selection in Mutual Information-Based Feature Selection in Automated Diagnosis of Multiple Epilepsies Using Scalp EEG. PRNI Wesley T. Kerr, Ariana E. Anderson, Hongjing Xia, Eric S. Braun, Edward P. Lau, Andrew Y. Cho, Mark S. Cohen
2011	J	`jnl`	Common component classification: What can we learn from machine learning? NeuroImage Ariana E. Anderson, Jennifer S. Labus, Eduardo P. Vianna, Emeran A. Mayer, Mark S. Cohen
2011	J	`jnl`	Large sample group independent component analysis of functional magnetic resonance imaging using anatomical atlas-based reduction and bootstrapped clustering. Int. J. Imaging Syst. Technol. Ariana E. Anderson, Jennifer E. Bramen, Pamela K. Douglas, Agatha Lenartowicz, Andrew Y. Cho, Chris Culbertson, Arthur L. Brody, Alan L. Yuille, Mark S. Cohen
2011	—	`conf`	Real-Time Functional MRI Classification of Brain States Using Markov-SVM Hybrid Models: Peering Inside the rt-fMRI Black Box. MLINI Ariana E. Anderson, Dianna Han, Pamela K. Douglas, Jennifer E. Bramen, Mark S. Cohen
2010	J	`jnl`	Classification of spatially unaligned fMRI scans. NeuroImage Ariana E. Anderson, Ivo D. Dinov, Jonathan E. Sherin, Javier Quintana, Alan L. Yuille, Mark S. Cohen