Yalda Mohsenzadeh
Yalda Mohsenzadeh
Western University & Vector Institute for Artificial Intelligence
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
Clar: Contrastive learning of auditory representations
H Al-Tahan, Y Mohsenzadeh
International Conference on Artificial Intelligence and Statistics, 2530-2538, 2021
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
The perceptual neural trace of memorable unseen scenes
Y Mohsenzadeh, C Mullin, A Oliva, D Pantazis
Scientific reports 9 (1), 6033, 2019
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
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
Variational Relevant Sample-Feature Machine: a Fully Bayesian Approach for Embedded Feature Selection
A Mirzaei, Y Mohsenzadeh, H Sheikhzadeh
Neurocomputing, 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
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
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
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
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
Bandwidth enhancement of single-feed circularly polarized equilateral triangular microstrip antenna
SS Karimabadi, Y Mohsenzadeh, AR Attari, SM Moghadasi
PIERS Proceedings 147 (150), 24-28, 2008
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
Depression in pregnant women with and without COVID-19
A Papadopoulos, ES Nichols, Y Mohsenzadeh, I Giroux, MF Mottola, ...
BJPsych Open, 2021
Cochlea to categories: The spatiotemporal dynamics of semantic auditory representations
MX Lowe, Y Mohsenzadeh, B Lahner, I Charest, A Oliva, S Teng
Cognitive Neuropsychology 38 (7-8), 468-489, 2022
The system can't perform the operation now. Try again later.
Articles 1–20