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Teodora Popordanoska
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2020 – today
- 2024
- [c6]Teodora Popordanoska, Sebastian Gregor Gruber, Aleksei Tiulpin, Florian Büttner, Matthew B. Blaschko:
Consistent and Asymptotically Unbiased Estimation of Proper Calibration Errors. AISTATS 2024: 3466-3474 - [c5]Teodora Popordanoska, Aleksei Tiulpin, Matthew B. Blaschko:
Beyond Classification: Definition and Density-based Estimation of Calibration in Object Detection. WACV 2024: 574-583 - [i10]Han Zhou, Jordy Van Landeghem, Teodora Popordanoska, Matthew B. Blaschko:
A Novel Characterization of the Population Area Under the Risk Coverage Curve (AURC) and Rates of Finite Sample Estimators. CoRR abs/2410.15361 (2024) - 2023
- [c4]Zifu Wang, Teodora Popordanoska, Jeroen Bertels
, Robin Lemmens, Matthew B. Blaschko
Dice Semimetric Losses: Optimizing the Dice Score with Soft Labels. MICCAI (3) 2023: 475-485 - [i9]Zifu Wang, Teodora Popordanoska, Jeroen Bertels, Robin Lemmens, Matthew B. Blaschko:
Dice Semimetric Losses: Optimizing the Dice Score with Soft Labels. CoRR abs/2303.16296 (2023) - [i8]Teodora Popordanoska, Aleksei Tiulpin
Beyond Classification: Definition and Density-based Estimation of Calibration in Object Detection. CoRR abs/2312.06645 (2023) - [i7]Teodora Popordanoska, Gorjan Radevski, Tinne Tuytelaars, Matthew B. Blaschko:
Estimating calibration error under label shift without labels. CoRR abs/2312.08586 (2023) - [i6]Teodora Popordanoska, Sebastian G. Gruber, Aleksei Tiulpin
Consistent and Asymptotically Unbiased Estimation of Proper Calibration Errors. CoRR abs/2312.08589 (2023) - 2022
- [c3]Teodora Popordanoska, Matthew B. Blaschko:
KULeuven at LeQua 2022: Model Calibration in Quantification Learning. CLEF (Working Notes) 2022: 1905-1910 - [c2]Teodora Popordanoska, Raphael Sayer, Matthew B. Blaschko:
A Consistent and Differentiable Lp Canonical Calibration Error Estimator. NeurIPS 2022 - [i5]Teodora Popordanoska, Aleksei Tiulpin
On confidence intervals for precision matrices and the eigendecomposition of covariance matrices. CoRR abs/2208.11977 (2022) - [i4]Teodora Popordanoska, Raphael Sayer, Matthew B. Blaschko:
A Consistent and Differentiable Lp Canonical Calibration Error Estimator. CoRR abs/2210.07810 (2022) - 2021
- [c1]Teodora Popordanoska, Jeroen Bertels
On the Relationship Between Calibrated Predictors and Unbiased Volume Estimation. MICCAI (1) 2021: 678-688 - [i3]Teodora Popordanoska, Jeroen Bertels, Dirk Vandermeulen, Frederik Maes, Matthew B. Blaschko:
On the relationship between calibrated predictors and unbiased volume estimation. CoRR abs/2112.12560 (2021) - 2020
- [i2]Teodora Popordanoska, Mohit Kumar, Stefano Teso:
Toward Machine-Guided, Human-Initiated Explanatory Interactive Learning. CoRR abs/2007.10018 (2020) - [i1]Teodora Popordanoska, Mohit Kumar, Stefano Teso:
Machine Guides, Human Supervises: Interactive Learning with Global Explanations. CoRR abs/2009.09723 (2020)
Coauthor Index
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