Ariana E. Anderson

According to our database, Ariana E. Anderson authored at least 14 papers between 2010 and 2019.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2019

Feature Fallacy: Complications with Interpreting Linear Decoding Weights in fMRI.

Pamela K. Douglas, Ariana E. Anderson

Proceedings of the Explainable AI: Interpreting, 2019

2016

Electronic health record phenotyping improves detection and screening of type 2 diabetes in the general United States population: A cross-sectional, unselected, retrospective study.

Ariana E. Anderson, Wesley T. Kerr, April Thames, Tong Li, Jiayang Xiao, Mark S. Cohen

J. Biomed. Informatics, 2016

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.

Jianwen Xie, Pamela K. Douglas, Ying Nian Wu, Arthur L. Brody, Ariana E. Anderson

CoRR, 2016

2014

The utility of data-driven feature selection: Re: Chu et al. 2012.

Wesley T. Kerr, Pamela K. Douglas, Ariana E. Anderson, Mark S. Cohen

NeuroImage, 2014

Non-negative matrix factorization of multimodal MRI, fMRI and phenotypic data reveals differential changes in default mode subnetworks in ADHD.

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

NeuroImage, 2014

Cognitive and neurodevelopmental benefits of extended formula-feeding in infants: Re: Deoni et al 2013.

Ariana E. Anderson, Alison C. Burggren

NeuroImage, 2014

Multimodal diagnosis of epilepsy using conditional dependence and multiple imputation.

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

Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014

2013

Balancing Clinical and Pathologic Relevance in the Machine Learning Diagnosis of Epilepsy.

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

Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013

Reducing Clinical Trial Costs by Detecting and Measuring the Placebo Effect and Treatment Effect Using Brain Imaging.

Ariana E. Anderson, Mark S. Cohen

Proceedings of the Medicine Meets Virtual Reality 20 - NextMed, 2013

2012

Parameter Selection in Mutual Information-Based Feature Selection in Automated Diagnosis of Multiple Epilepsies Using Scalp EEG.

Wesley T. Kerr, Ariana E. Anderson, Hongjing Xia, Eric S. Braun, Edward P. Lau, Andrew Y. Cho, Mark S. Cohen

Proceedings of the Second International Workshop on Pattern Recognition in NeuroImaging, 2012

2011

Common component classification: What can we learn from machine learning?

Ariana E. Anderson, Jennifer S. Labus, Eduardo P. Vianna, Emeran A. Mayer, Mark S. Cohen

NeuroImage, 2011

Large sample group independent component analysis of functional magnetic resonance imaging using anatomical atlas-based reduction and bootstrapped clustering.

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

Int. J. Imaging Syst. Technol., 2011

Real-Time Functional MRI Classification of Brain States Using Markov-SVM Hybrid Models: Peering Inside the rt-fMRI Black Box.

Ariana E. Anderson, Dianna Han, Pamela K. Douglas, Jennifer E. Bramen, Mark S. Cohen

Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011

2010

Classification of spatially unaligned fMRI scans.

Ariana E. Anderson, Ivo D. Dinov, Jonathan E. Sherin, Javier Quintana, Alan L. Yuille, Mark S. Cohen

NeuroImage, 2010