By Dr Gelareh Mohammadi

Conference Papers

Mohammadi G; Dufaux F; Ebrahimi T, 2009, 'Multi-view Video Segmentation and Tracking for Video Surveillance', USA, presented at SPIE Defens Security & Sensing Conference, USA, -

Syah-Mansouri M; Tajik H; Mohammadi G; Pashna M, 2008, 'Edge Defect Detection in Ceramic Tile Based on Boundary Analysis Using Fuzzy Thresholding and Radon Transform', -, presented at IEEE International Symposium on Signal Processing and Information Technology, -, -

Mohammadi G; Fatemizadeh E, 2007, 'A New 2D Corner Detector for Extracting Landmarks from Brain MR Images', in A New 2D Corner Detector for Extracting Landmarks from Brain MR Images, International Symposium on Signal Processing and its Application, UAE, presented at International Symposium on Signal Processing and its Application, UAE, -

Mohammadi G; Fatemizadeh E, 2007, 'A New 2D Landmark Extraction Approach Based on Covariance of Intensity Variation in a Mask', in A New 2D Landmark Extraction Approach Based on Covariance of Intensity Variation in a Mask, Iranian Conference on Biomedical Engineering, Iran, presented at Iranian Conference on Biomedical Engineering, Iran, -

Mohammadi G; Shooshtari P; Molaee Ardekani B; Shamsollahi MB, 2006, 'Person Identification by Using AR Model for EEG Signals', in Ardil C (ed.), PROCEEDINGS OF WORLD ACADEMY OF SCIENCE, ENGINEERING AND TECHNOLOGY, VOL 11, WORLD ACAD SCI, ENG & TECH-WASET, Czech Republic, pp. 281 - 285, presented at World Academy of Science, Engineering and Technology, Czech Republic, - , http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000260419100052&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a

Mohammadi G; Shooshtari P; Vosoughi Vahdat B, 2006, 'Reduction of 2D Block Method Computational Cost for Electrical Impedance Tomography Equations', in Reduction of 2D Block Method Computational Cost for Electrical Impedance Tomography Equations, Iranian Conference on Electrical Engineering, Iran, presented at Iranian Conference on Electrical Engineering, Iran, -

Mohammadi G, 2006, 'Removing Ocular Artifacts from EEG Signals Using Adaptive Filtering and ARMAX Modeling', in Ardil C (ed.), PROCEEDINGS OF WORLD ACADEMY OF SCIENCE, ENGINEERING AND TECHNOLOGY, VOL 11, WORLD ACAD SCI, ENG & TECH-WASET, Czech Republic, pp. 277 - 280, presented at World Academy of Science, Engineering and Technology, Czech Republic, - , http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000260419100051&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a

Conference Posters

Elvitigala DS; Somarathna R; Yan Y; Mohammadi G; Quigley A, 2022, 'Towards using Involuntary Body Gestures for Measuring the User Engagement in VR Gaming', USA, presented at ACM Symposium on User Interface Software and Technology (UIST 2022), USA, 29 October 2022

Reports

Morgenroth E; Somarathna R; Van De Ville D; Mohammadi G; Vuilleumier P, 2024, Emotion is a multi-componential experience guided by appraisal: evidence from multi-level annotation during naturalistic stimulation, http://dx.doi.org/10.31234/osf.io/qzdbu, http://dx.doi.org/10.31234/osf.io/qzdbu

Darejeh A; Marcus N; Mohammadi G; Sweller J, 2024, A critical analysis of cognitive load measurement methods for evaluating the usability of different types of interfaces: guidelines and framework for Human-Computer Interaction

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

Menétrey M; Mohammadi G; Vuilleumier P, 2020, Assessing the Component Process Model of emotion using multivariate pattern classification analyses: A behavioral and psychophysiological study

Working Papers

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, SSRN 4075454, http://dx.doi.org

Menétrey MQ; Mohammadi G; Leitão J; Vuilleumier P, 2021, Emotion Recognition in a Multi-Componential Framework: The Role of Physiology, http://dx.doi.org10.1101/2021.04.08.438559

Preprints

Somarathna R; Mohammadi G, 2024, Exploring Emotions in Multi-componential Space using Interactive VR Games, , http://dx.doi.org/10.48550/arxiv.2404.03239

Liu CY; Mohammadi G; Song Y; Johal W, 2023, Speech-Gesture GAN: Gesture Generation for Robots and Embodied Agents, , http://arxiv.org/abs/2309.09346v1

Somarathna R; Vuilleumier P; Mohammadi G, 2023, EmoStim: A Database of Emotional Film Clips with Discrete and Componential Assessment, , http://dx.doi.org/10.48550/arxiv.2306.08196

Hu X; Aldausari N; Mohammadi G, 2022, 2CET-GAN: Pixel-Level GAN Model for Human Facial Expression Transfer, , http://dx.doi.org/10.48550/arxiv.2211.11570

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://arxiv.org/abs/2209.04793v1

Alzubaidi F; Mostaghimi P; Niu Y; Armstrong RT; Mohammadi G; Berg S; McClure JE, 2022, Effective permeability of an immiscible fluid in porous media determined from its geometric state, , http://arxiv.org/abs/2208.08027v2

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://arxiv.org/abs/2207.02380v1

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://arxiv.org/abs/2207.01822v1

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, , http://dx.doi.org/10.48550/arxiv.2011.02250

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

Somarathna R; Vuilleumier P; Bednarz T; Mohammadi G, 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

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