Teodora Popordanoska

According to our database, Teodora Popordanoska authored at least 11 papers between 2020 and 2024.

Collaborative distances:

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

2024

A Novel Characterization of the Population Area Under the Risk Coverage Curve (AURC) and Rates of Finite Sample Estimators.

Han Zhou, Jordy Van Landeghem, Teodora Popordanoska, Matthew B. Blaschko

CoRR, 2024

Beyond Classification: Definition and Density-based Estimation of Calibration in Object Detection.

Teodora Popordanoska, Aleksei Tiulpin, Matthew B. Blaschko

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Consistent and Asymptotically Unbiased Estimation of Proper Calibration Errors.

Teodora Popordanoska, Sebastian Gregor Gruber, Aleksei Tiulpin, Florian Büttner, Matthew B. Blaschko

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Estimating calibration error under label shift without labels.

Teodora Popordanoska, Gorjan Radevski, Tinne Tuytelaars, Matthew B. Blaschko

CoRR, 2023

Dice Semimetric Losses: Optimizing the Dice Score with Soft Labels.

Zifu Wang, Teodora Popordanoska, Jeroen Bertels, Robin Lemmens, Matthew B. Blaschko

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

On confidence intervals for precision matrices and the eigendecomposition of covariance matrices.

Teodora Popordanoska, Aleksei Tiulpin, Wacha Bounliphone, Matthew B. Blaschko

CoRR, 2022

A Consistent and Differentiable Lp Canonical Calibration Error Estimator.

Teodora Popordanoska, Raphael Sayer, Matthew B. Blaschko

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

KULeuven at LeQua 2022: Model Calibration in Quantification Learning.

Teodora Popordanoska, Matthew B. Blaschko

Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

2021

On the Relationship Between Calibrated Predictors and Unbiased Volume Estimation.

Teodora Popordanoska, Jeroen Bertels, Dirk Vandermeulen, Frederik Maes, Matthew B. Blaschko

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

Machine Guides, Human Supervises: Interactive Learning with Global Explanations.

Teodora Popordanoska, Mohit Kumar, Stefano Teso

CoRR, 2020

Toward Machine-Guided, Human-Initiated Explanatory Interactive Learning.

Teodora Popordanoska, Mohit Kumar, Stefano Teso

CoRR, 2020