Azadeh Sadat Mozafari

Publication Activity (10 Years)

Years Active: 2014-2019
Publications (10 Years): 9

Top Topics

Calibration Method

Data Mining Process

Previously Learned

Top Venues

Pattern Recognit.

Comput. Vis. Image Underst.

Publications

Azadeh Sadat Mozafari, Hugo Siqueira Gomes, Christian Gagné
A Novel Unsupervised Post-Processing Calibration Method for DNNS with Robustness to Domain Shift. CoRR (2019)
Azadeh Sadat Mozafari, Hugo Siqueira Gomes, Wilson Leão, Christian Gagné
Unsupervised Temperature Scaling: Post-Processing Unsupervised Calibration of Deep Models Decisions. CoRR (2019)
Azadeh Sadat Mozafari, Hugo Siqueira Gomes, Steeven Janny, Christian Gagné
A New Loss Function for Temperature Scaling to have Better Calibrated Deep Networks. CoRR (2018)
Changjian Shui, Azadeh Sadat Mozafari, Jonathan Marek, Ihsen Hedhli, Christian Gagné
Diversity regularization in deep ensembles. CoRR (2018)
Mahdieh Abbasi, Arezoo Rajabi, Azadeh Sadat Mozafari, Rakesh B. Bobba, Christian Gagné
Controlling Over-generalization and its Effect on Adversarial Examples Generation and Detection. CoRR (2018)
Antonio M. López, Gabriel Villalonga, Laura Sellart, Germán Ros, David Vázquez, Jiaolong Xu, Javier Marín, Azadeh Sadat Mozafari
Training my car to see using virtual worlds. Image Vis. Comput. 68 (2017)
Azadeh Sadat Mozafari, Mansour Jamzad
Cluster-based adaptive SVM: A latent subdomains discovery method for domain adaptation problems. Comput. Vis. Image Underst. 162 (2017)
Azadeh Sadat Mozafari, Mansour Jamzad
A SVM-based model-transferring method for heterogeneous domain adaptation. Pattern Recognit. 56 (2016)
Azadeh Sadat Mozafari, David Vázquez, Mansour Jamzad, Antonio M. López
Node-Adapt, Path-Adapt and Tree-Adapt: Model-Transfer Domain Adaptation for Random Forest. CoRR (2016)
Azadeh Sadat Mozafari, Mansour Jamzad
Heterogeneous domain adaptation using previously learned classifier for object detection problem. ICIP (2014)