Azadeh Sadat Mozafari
Azadeh Sadat Mozafari
Postdoc Researcher, York University, Toronto
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A SVM-based model-transferring method for heterogeneous domain adaptation
AS Mozafari, M Jamzad
Pattern Recognition 56, 142-158, 2016
Attended temperature scaling: a practical approach for calibrating deep neural networks
AS Mozafari, HS Gomes, W Leão, S Janny, C Gagné
arXiv preprint arXiv:1810.11586, 2018
Attended Temperature Scaling: A Practical Approach for Calibrating Deep Neural Networks
AS Mozafari, H Siqueira Gomes, W Leão, S Janny, C Gagné, 2019
Training my car to see using virtual worlds
AM Lopez, G Villalonga, L Sellart, G Ros, D Vázquez, J Xu, J Marin, ...
Image and Vision Computing 68, 102-118, 2017
Controlling over-generalization and its effect on adversarial examples generation and detection
M Abbasi, A Rajabi, AS Mozafari, RB Bobba, C Gagne
arXiv preprint arXiv:1808.08282, 2018
Diversity regularization in deep ensembles
C Shui, AS Mozafari, J Marek, I Hedhli, C Gagné
arXiv preprint arXiv:1802.07881, 2018
Cluster-based adaptive SVM: A latent subdomains discovery method for domain adaptation problems
AS Mozafari, M Jamzad
Computer Vision and Image Understanding 162, 116-134, 2017
Heterogeneous domain adaptation using previously learned classifier for object detection problem
AS Mozafari, M Jamzad
2014 IEEE International Conference on Image Processing (ICIP), 4077-4081, 2014
A new type of hybrid features for human detection
AS Mozafari, M Jamzad
2012 IEEE 8th International Conference on Intelligent Computer Communication …, 2012
A Novel Unsupervised Post-Processing Calibration Method for DNNS with Robustness to Domain Shift
AS Mozafari, HS Gomes, C Gagné, 2019
Unsupervised Temperature Scaling: Post-Processing Unsupervised Calibration of Deep Models Decisions
AS Mozafari, HS Gomes, W Leão, C Gagné
ICML 2019 Workshop on Uncertainty and Robustness in Deep Learning, 2019
Node-Adapt, Path-Adapt and Tree-Adapt: Model-Transfer Domain Adaptation for Random Forest
AS Mozafari, D Vazquez, M Jamzad, AM Lopez
arXiv preprint arXiv:1611.02886, 2016
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