Azadeh Sadat Mozafari

According to our database, Azadeh Sadat Mozafari authored at least 10 papers between 2014 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

A Novel Unsupervised Post-Processing Calibration Method for DNNS with Robustness to Domain Shift.

Azadeh Sadat Mozafari, Hugo Siqueira Gomes, Christian Gagné

CoRR, 2019

Unsupervised Temperature Scaling: Post-Processing Unsupervised Calibration of Deep Models Decisions.

Azadeh Sadat Mozafari, Hugo Siqueira Gomes, Wilson Leão, Christian Gagné

CoRR, 2019

2018

A New Loss Function for Temperature Scaling to have Better Calibrated Deep Networks.

Azadeh Sadat Mozafari, Hugo Siqueira Gomes, Steeven Janny, Christian Gagné

CoRR, 2018

Controlling Over-generalization and its Effect on Adversarial Examples Generation and Detection.

Mahdieh Abbasi, Arezoo Rajabi, Azadeh Sadat Mozafari, Rakesh B. Bobba, Christian Gagné

CoRR, 2018

Diversity regularization in deep ensembles.

Changjian Shui, Azadeh Sadat Mozafari, Jonathan Marek, Ihsen Hedhli, Christian Gagné

CoRR, 2018

2017

Training my car to see using virtual worlds.

Antonio M. López, Gabriel Villalonga, Laura Sellart, Germán Ros, David Vázquez, Jiaolong Xu, Javier Marín, Azadeh Sadat Mozafari

Image Vis. Comput., 2017

Cluster-based adaptive SVM: A latent subdomains discovery method for domain adaptation problems.

Azadeh Sadat Mozafari, Mansour Jamzad

Comput. Vis. Image Underst., 2017

2016

A SVM-based model-transferring method for heterogeneous domain adaptation.

Azadeh Sadat Mozafari, Mansour Jamzad

Pattern Recognit., 2016

Node-Adapt, Path-Adapt and Tree-Adapt: Model-Transfer Domain Adaptation for Random Forest.

Azadeh Sadat Mozafari, David Vázquez, Mansour Jamzad, Antonio M. López

CoRR, 2016

2014

Heterogeneous domain adaptation using previously learned classifier for object detection problem.

Azadeh Sadat Mozafari, Mansour Jamzad

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014