Heterogeneous domain adaptation using previously learned classifier for object detection problem. - Azadeh Sadat Mozafari; Mansour Jamzad (ICIP, 2014)

Node-Adapt, Path-Adapt and Tree-Adapt: Model-Transfer Domain Adaptation for Random Forest. - Azadeh Sadat Mozafari; David Vázquez 001; Mansour Jamzad; Antonio M. López 001 (CoRR, 2016)

A SVM-based model-transferring method for heterogeneous domain adaptation. - Azadeh Sadat Mozafari; Mansour Jamzad (Pattern Recognit., 2016)

Cluster-based adaptive SVM: A latent subdomains discovery method for domain adaptation problems. - Azadeh Sadat Mozafari; Mansour Jamzad (Comput. Vis. Image Underst., 2017)

Training my car to see using virtual worlds. - Antonio M. López 001; Gabriel Villalonga; Laura Sellart; Germán Ros; David Vázquez 001; Jiaolong Xu; Javier Marín; Azadeh Sadat Mozafari (Image Vis. Comput., 2017)

Diversity regularization in deep ensembles. - Changjian Shui; Azadeh Sadat Mozafari; Jonathan Marek; Ihsen Hedhli; Christian Gagné 001 (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 001 (CoRR, 2018)

A New Loss Function for Temperature Scaling to have Better Calibrated Deep Networks. - Azadeh Sadat Mozafari; Hugo Siqueira Gomes; Steeven Janny; Christian Gagné 001 (CoRR, 2018)

Unsupervised Temperature Scaling: Post-Processing Unsupervised Calibration of Deep Models Decisions. - Azadeh Sadat Mozafari; Hugo Siqueira Gomes; Wilson Leão; Christian Gagné 001 (CoRR, 2019)

A Novel Unsupervised Post-Processing Calibration Method for DNNS with Robustness to Domain Shift. - Azadeh Sadat Mozafari; Hugo Siqueira Gomes; Christian Gagné 001 (CoRR, 2019)