Yalda Mohsenzadeh
Orcid: 0000-0001-8525-957X
According to our database1,
Yalda Mohsenzadeh
authored at least 30 papers
between 2009 and 2024.
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Bibliography
2024
Multiview Contrastive Learning for Unsupervised Domain Adaptation in Brain-Computer Interfaces.
IEEE Trans. Instrum. Meas., 2024
NeuroImage, 2024
Modeling Visual Memorability Assessment with Autoencoders Reveals Characteristics of Memorable Images.
CoRR, 2024
CoRR, 2024
2023
2022
One-Class Learned Encoder-Decoder Network with Adversarial Context Masking for Novelty Detection.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022
Proceedings of the 19th Conference on Robots and Vision, 2022
Multi-Scale Identity-Preserving Image-to-Image Translation Network for Low-Resolution Face Recognition.
Proceedings of the 35th Canadian Conference on Artificial Intelligence, Toronto, Ontario, 2022
2021
Reconstructing feedback representations in the ventral visual pathway with a generative adversarial autoencoder.
PLoS Comput. Biol., 2021
The Impact of Spatiotemporal Augmentations on Self-Supervised Audiovisual Representation Learning.
CoRR, 2021
OLED: One-Class Learned Encoder-Decoder Network with Adversarial Context Masking for Novelty Detection.
CoRR, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
Proceedings of the 34th Canadian Conference on Artificial Intelligence, 2021
2020
Enhancing multivariate pattern analysis for magnetoencephalography through relevant sensor selection.
Int. J. Imaging Syst. Technol., 2020
Low resolution face recognition using a two-branch deep convolutional neural network architecture.
Expert Syst. Appl., 2020
CoRR, 2020
2019
Beyond core object recognition: Recurrent processes account for object recognition under occlusion.
PLoS Comput. Biol., 2019
The Algonauts Project: A Platform for Communication between the Sciences of Biological and Artificial Intelligence.
CoRR, 2019
2018
NeuroImage, 2018
2017
Variational Relevant Sample-Feature Machine: A fully Bayesian approach for embedded feature selection.
Neurocomputing, 2017
2016
Incremental relevance sample-feature machine: A fast marginal likelihood maximization approach for joint feature selection and classification.
Pattern Recognit., 2016
2015
IEEE Trans. Neural Networks Learn. Syst., 2015
2013
The Relevance Sample-Feature Machine: A Sparse Bayesian Learning Approach to Joint Feature-Sample Selection.
IEEE Trans. Cybern., 2013
2009
Proceedings of the IEEE International Symposium on Information Theory, 2009