By Associate Professor Gelareh Mohammadi

Preprints

Spooner A; Mohammadi G; Sachdev PS; Brodaty H; Sowmya A, 2022, Temporal Pattern Mining for Analysis of Longitudinal Clinical Data: Identifying Risk Factors for Alzheimer's Disease, http://dx.doi.org/10.48550/arxiv.2209.04793

Spooner A; Mohammadi G; Sachdev PS; Brodaty H; Sowmya A, 2022, Ensemble feature selection with clustering for analysis of high-dimensional, correlated clinical data in the search for Alzheimer's disease biomarkers, http://dx.doi.org/10.48550/arxiv.2207.02380

Spooner A; Mohammadi G; Sachdev PS; Brodaty H; Sowmya A, 2022, Ensemble feature selection with data-driven thresholding for Alzheimer's disease biomarker discovery, http://dx.doi.org/10.48550/arxiv.2207.01822

Somarathna R; Vuilleumier P; Bednarz T; Mohammadi G, 2022, A Machine Learning Model for Analyzing the Multivariate Patterns of Emotions in Multi-Componential Framework with Personalization, http://dx.doi.org/10.2139/ssrn.4075454

Somarathna R; Bednarz T; Mohammadi G, 2021, Virtual Reality for Emotion Elicitation -- A Review, http://dx.doi.org/10.48550/arxiv.2111.04461

Aldausari N; Sowmya A; Marcus N; Mohammadi G, 2020, Video Generative Adversarial Networks: A Review

Mohammadi G; Vuilleumier P, 2020, A Multi-Componential Approach to Emotion Recognition and the Effect of Personality, http://dx.doi.org/10.48550/arxiv.2010.11370

Izhraqi MA; Mian M; Marcus N; Mohammadi G, Exploring Gender Differences in Cognitive Load and Stress Responses: A Machine Learning Approach using Physiological Data in Learning Environments, http://dx.doi.org/10.21203/rs.3.rs-6888326/v1

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