Scholarly Contributions
210 Scholarly Contributions
Multi-view cluster analysis with incomplete data to understand treatment effects
2019
Research Type: Journal Article
Inferring phenotypes from substance use via collaborative matrix completion
2019
Research Type: Poster/Presentation
Inferring Diagnostic Criteria of Substance Use Disorders from Comorbid Conditions and Genotypes
2018
Research Type: Journal Article
Alcohol expectancy and cerebral responses to cue-elicited craving in adult nondependent drinkers
2018
Research Type: Journal Article
Restoration of neural activity supporting working memory in schizophrenia by computer-based cognitive remediation training
2018
Research Type: Poster/Presentation
1-norm support vector machine on single-trial EEG and ECG data to identify neural oscillatory features in the ketamine model for schizophrenia: using your head and following your heart.
2017
Research Type: Poster/Presentation
A Genome-wide Association Analysis with Cocaine Use Disorder Accounting for both Phenotypic Heterogeneity and Gene-Environment Interplay
2017
Research Type: Poster/Presentation
A genome-wide association analysis with cocaine use disorder accounting for both phenotypic heterogeneity and gene-environmental interplay
2017
Research Type: Poster/Presentation
Gait-based Continuous Authentication Using Multimodal Learning
2017
Research Type: Poster/Presentation
A Sparse Interactive Model for Matrix Completion with Side Information
2017
Research Type: Technology
http://www.labhealthinfo.uconn.edu/a-sparse-interactive-model-for-matrix-completion-with-side-information/
A Viewpoint of Security for Digital Health Care: What's There? What Works? What's Needed?
2016
Research Type: Book Chapter
A Cross-Species Bi-clustering Approach to Identifying Conserved Co-regulated Genes
2016
Research Type: Journal Article
Bi-convex Optimization to Learn Classifiers from Multiple Biomedical Annotations
2016
Research Type: Journal Article
Machine learning identification of EEG features predicting working memory performance in schizophrenia and healthy adults
2016
Research Type: Journal Article
Multiview Bi- Clustering to Identify Smartphone Sensing Features Indicative of Depression
2016
Research Type: Poster/Presentation
Behavior vs. introspection: Refining prediction of clinical depression via smartphone sensing data
2016
Research Type: Poster/Presentation