Teodora Popordanoska

22 papers A* 3A 2Journal 14Unranked 3
YearRankTypeTitle / Venue / Authors
2025 A* conf
A Novel Characterization of the Population Area Under the Risk Coverage Curve (AURC) and Rates of Finite Sample Estimators.
ICML
Han Zhou, Jordy Van Landeghem, Teodora Popordanoska, Matthew B. Blaschko
2025 J jnl
Beyond Segmentation: Confidence-Aware and Debiased Estimation of Ratio-based Biomarkers.
CoRR
Jiameng Li, Teodora Popordanoska, Sebastian G. Gruber, Frederik Maes, Matthew B. Blaschko
2025 J jnl
CLASH: A Benchmark for Cross-Modal Contradiction Detection.
CoRR
Teodora Popordanoska, Jiameng Li, Matthew B. Blaschko
2025 J jnl
DAVE: Diagnostic benchmark for Audio Visual Evaluation.
CoRR
Gorjan Radevski, Teodora Popordanoska, Matthew B. Blaschko, Tinne Tuytelaars
2025 J jnl
Revisiting Reweighted Risk for Calibration: AURC, Focal Loss, and Inverse Focal Loss.
CoRR
Han Zhou, Sebastian G. Gruber, Teodora Popordanoska, Matthew B. Blaschko
2024 J jnl
A Novel Characterization of the Population Area Under the Risk Coverage Curve (AURC) and Rates of Finite Sample Estimators.
CoRR
Han Zhou, Jordy Van Landeghem, Teodora Popordanoska, Matthew B. Blaschko
2024 A conf
Beyond Classification: Definition and Density-based Estimation of Calibration in Object Detection.
WACV
Teodora Popordanoska, Aleksei Tiulpin, Matthew B. Blaschko
2024 A conf
Consistent and Asymptotically Unbiased Estimation of Proper Calibration Errors.
AISTATS
Teodora Popordanoska, Sebastian Gregor Gruber, Aleksei Tiulpin, Florian Büttner, Matthew B. Blaschko
2024 A* conf
LaSCal: Label-Shift Calibration without target labels.
NeurIPS
Teodora Popordanoska, Gorjan Radevski, Tinne Tuytelaars, Matthew B. Blaschko
2023 J jnl
Beyond Classification: Definition and Density-based Estimation of Calibration in Object Detection.
CoRR
Teodora Popordanoska, Aleksei Tiulpin, Matthew B. Blaschko
2023 J jnl
Consistent and Asymptotically Unbiased Estimation of Proper Calibration Errors.
CoRR
Teodora Popordanoska, Sebastian G. Gruber, Aleksei Tiulpin, Florian Büttner, Matthew B. Blaschko
2023 — conf
Dice Semimetric Losses: Optimizing the Dice Score with Soft Labels.
MICCAI (3)
Zifu Wang, Teodora Popordanoska, Jeroen Bertels, Robin Lemmens, Matthew B. Blaschko
2023 J jnl
Dice Semimetric Losses: Optimizing the Dice Score with Soft Labels.
CoRR
Zifu Wang, Teodora Popordanoska, Jeroen Bertels, Robin Lemmens, Matthew B. Blaschko
2023 J jnl
Estimating calibration error under label shift without labels.
CoRR
Teodora Popordanoska, Gorjan Radevski, Tinne Tuytelaars, Matthew B. Blaschko
2022 A* conf
A Consistent and Differentiable Lp Canonical Calibration Error Estimator.
NeurIPS
Teodora Popordanoska, Raphael Sayer, Matthew B. Blaschko
2022 J jnl
A Consistent and Differentiable Lp Canonical Calibration Error Estimator.
CoRR
Teodora Popordanoska, Raphael Sayer, Matthew B. Blaschko
2022 — conf
KULeuven at LeQua 2022: Model Calibration in Quantification Learning.
CLEF (Working Notes)
Teodora Popordanoska, Matthew B. Blaschko
2022 J jnl
On confidence intervals for precision matrices and the eigendecomposition of covariance matrices.
CoRR
Teodora Popordanoska, Aleksei Tiulpin, Wacha Bounliphone, Matthew B. Blaschko
2021 — conf
On the Relationship Between Calibrated Predictors and Unbiased Volume Estimation.
MICCAI (1)
Teodora Popordanoska, Jeroen Bertels, Dirk Vandermeulen, Frederik Maes, Matthew B. Blaschko
2021 J jnl
On the relationship between calibrated predictors and unbiased volume estimation.
CoRR
Teodora Popordanoska, Jeroen Bertels, Dirk Vandermeulen, Frederik Maes, Matthew B. Blaschko
2020 J jnl
Machine Guides, Human Supervises: Interactive Learning with Global Explanations.
CoRR
Teodora Popordanoska, Mohit Kumar, Stefano Teso
2020 J jnl
Toward Machine-Guided, Human-Initiated Explanatory Interactive Learning.
CoRR
Teodora Popordanoska, Mohit Kumar, Stefano Teso