Yalda Mohsenzadeh

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Aude OlivaSenior Research Scientist, CSAIL, MIT Director MIT-IBM Lab, MIT College Director IndustryVerified email at mit.edu
Benjamin LahnerGraduate Student, Massachusetts Institute of TechnologyVerified email at mit.edu
Radoslaw Martin CichyFreie Universität BerlinVerified email at zedat.fu-berlin.de
Hamid SheikhzadehAssociate Prof., EE Dept., Amirkabir Univ. of Tech. (Tehran Polytechnic)Verified email at aut.ac.ir
Dimitrios PantazisMcGovern Institute for Brain Research, MITVerified email at mit.edu
Caitlin MullinYork University, Centre for Vision ResearchVerified email at csail.mit.edu
Reza EbrahimpourProfessor, Sharif University of Technology, SRTTU, IPMVerified email at sharif.edu
Seyed-Mahdi Khaligh-RazaviCognetivity NeurosciencesVerified email at Cognetivity.com
Haider Al-TahanWestern UniversityVerified email at uwo.ca
Mohammad rahmatiProfessor of Computer Engineering, Amirkabir university of TechnologyVerified email at aut.ac.ir
Erfan ZangenehStudent of Artificial Intelligence in Amirkabir University and TechnologyVerified email at aut.ac.ir
Vahid MehrpourPostdoctoral Researcher, University of PennsylvaniaVerified email at sas.upenn.edu
Andrew JaegleResearch Scientist, DeepMindVerified email at google.com
Emma DuerdenAssistant Professor and Canada Research Chair in Neuroscience and Learning Disorders, WesternVerified email at uwo.ca
Emily S. NicholsPostdoctoral Fellow, Faculty of Education, Western UniversityVerified email at uwo.ca
Mahdi M. KalayehSenior Research Scientist, NetflixVerified email at netflix.com
Ali MirzaeiAmirkabir University of TechnologyVerified email at aut.ac.ir
Nicole RustDepartment of Psychology, University of PennsylvaniaVerified email at psych.upenn.edu
John JewellApplied ML @ VectorVerified email at uwo.ca
Ian CharestSchool of Psychology, University of BirminghamVerified email at bham.ac.uk

Yalda Mohsenzadeh

Western University & Vector Institute for Artificial Intelligence

Verified email at uwo.ca - Homepage

Human-Machine Intelligence Computational Neuroscience Artificial Intelligence Human Brain Imaging Deep Learning


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Low resolution face recognition using a two-branch deep convolutional neural network architecture E Zangeneh, M Rahmati, Y Mohsenzadeh Expert Systems with Applications, 112854, 2020	124	2020
Beyond core object recognition: Recurrent processes account for object recognition under occlusion K Rajaei, Y Mohsenzadeh, R Ebrahimpour, SM Khaligh-Razavi PLoS computational biology 15 (5), e1007001, 2019	77	2019
Ultra-Rapid Serial Visual Presentation Reveals Dynamics of Feedforward and Feedback Processes in the Ventral Visual Pathway Y Mohsenzadeh, S Qin, R Cichy, D Pantazis Elife 7 (e36329), 2018	70	2018
The relevance sample-feature machine: A sparse Bayesian learning approach to joint feature-sample selection Y Mohsenzadeh, H Sheikhzadeh, AM Reza, N Bathaee, MM Kalayeh IEEE transactions on cybernetics 43 (6), 2241-2254, 2013	65	2013
Population response magnitude variation in inferotemporal cortex predicts image memorability A Jaegle, V Mehrpour, Y Mohsenzadeh*, T Meyer, A Oliva, N Rust eLife 8, e47596, 2019	40	2019
Decoding the orientation of contrast edges from MEG evoked and induced responses D Pantazis, M Fang, S Qin, Y Mohsenzadeh, Q Li, RM Cichy NeuroImage 180, 267-279, 2018	40	2018
The Algonauts Project: A Platform for Communication between the Sciences of Biological and Artificial Intelligence RM Cichy, G Roig, A Andonian, K Dwivedi, B Lahner, A Lascelles, ... arXiv preprint arXiv:1904.09764, 1-4, 2019	39	2019
Clar: Contrastive learning of auditory representations H Al-Tahan, Y Mohsenzadeh International Conference on Artificial Intelligence and Statistics, 2530-2538, 2021	34	2021
Gaussian kernel width optimization for sparse Bayesian learning Y Mohsenzadeh, H Sheikhzadeh IEEE transactions on neural networks and learning systems 26 (4), 709-719, 2014	31	2014
The perceptual neural trace of memorable unseen scenes Y Mohsenzadeh, C Mullin, A Oliva, D Pantazis Scientific reports 9 (1), 6033, 2019	27	2019
Variational Relevant Sample-Feature Machine: a Fully Bayesian Approach for Embedded Feature Selection A Mirzaei, Y Mohsenzadeh, H Sheikhzadeh Neurocomputing, 2017	26	2017
Incremental relevance sample-feature machine: A fast marginal likelihood maximization approach for joint feature selection and classification Y Mohsenzadeh, H Sheikhzadeh, S Nazari Pattern Recognition, 2016	26	2016
Bandwidth enhancement of single-feed circularly polarized equilateral triangular microstrip antenna SS Karimabadi, Y Mohsenzadeh, AR Attari, SM Moghadasi PIERS Proceedings, 147-150, 2008	21	2008
Reliability and generalizability of similarity-based fusion of MEG and fMRI data in human ventral and dorsal visual streams Y Mohsenzadeh, C Mullin, B Lahner, RM Cichy, A Oliva Vision 3 (1), 8, 2019	18	2019
Emergence of Visual Center-Periphery Spatial Organization in Deep Convolutional Neural Networks Y Mohsenzadeh, C Mullin, B Lahner, A Oliva Scientific Reports 10 (1), 1-8, 2020	14	2020
A state space model for spatial updating of remembered visual targets during eye movements Y Mohsenzadeh, S Dash, JD Crawford Frontiers in systems neuroscience 10, 39, 2016	14	2016
One-class learned encoder-decoder network with adversarial context masking for novelty detection JT Jewell, VR Khazaie, Y Mohsenzadeh Proceedings of the IEEE/CVF winter conference on applications of computer …, 2022	13	2022
Reconstructing feedback representations in the ventral visual pathway with a generative adversarial autoencoder H Al-Tahan, Y Mohsenzadeh PLOS Computational Biology 17 (3), e1008775, 2021	8	2021
Depression in pregnant women with and without COVID-19 A Papadopoulos, ES Nichols, Y Mohsenzadeh, I Giroux, MF Mottola, ... BJPsych Open, 2021	6	2021
Fast inverse mapping of face gans N Bayat, VR Khazaie, Y Mohsenzadeh ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021	5*	2021

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