7 citations · 12 across the 7 of their papers we have counts for
10 papers
Exploring Emotions in Multi-componential Space using Interactive VR Games
Rukshani Somarathna, Gelareh Mohammadi
Emotion understanding is a complex process that involves multiple components. The ability to recognise emotions not only leads to new context awareness methods but also enhances sy…
EmoStim: A Database of Emotional Film Clips with Discrete and Componential Assessment
Rukshani Somarathna, Patrik Vuilleumier, Gelareh Mohammadi
Emotion elicitation using emotional film clips is one of the most common and ecologically valid methods in Affective Computing. However, selecting and validating appropriate materi…
2CET-GAN: Pixel-Level GAN Model for Human Facial Expression Transfer
Xiaohang Hu, Nuha Aldausari, Gelareh Mohammadi
Recent studies have used GAN to transfer expressions between human faces. However, existing models have many flaws: relying on emotion labels, lacking continuous expressions, and f…
Temporal Pattern Mining for Analysis of Longitudinal Clinical Data: Identifying Risk Factors for Alzheimer's Disease
Annette Spooner, Gelareh Mohammadi, Perminder S. Sachdev +2
A novel framework is proposed for handling the complex task of modelling and analysis of longitudinal, multivariate, heterogeneous clinical data. This method uses temporal abstract…
Effective permeability of an immiscible fluid in porous media determined from its geometric state
Fatimah Alzubaidi, Peyman Mostaghimi, Yufu Niu +4
Based on the phenomenological extension of Darcy's law, two-fluid flow is dependent on a relative permeability function of saturation only that is process/path dependent with an un…
Ensemble feature selection with clustering for analysis of high-dimensional, correlated clinical data in the search for Alzheimer's disease biomarkers
Annette Spooner, Gelareh Mohammadi, Perminder S. Sachdev +2
Healthcare datasets often contain groups of highly correlated features, such as features from the same biological system. When feature selection is applied to these datasets to ide…