Teodora Popordanoska

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 13

Top Topics

Interactive Learning

Top Venues

CLEF (Working Notes)

Publications

Teodora Popordanoska, Gorjan Radevski, Tinne Tuytelaars, Matthew B. Blaschko
Estimating calibration error under label shift without labels. CoRR (2023)
Zifu Wang, Teodora Popordanoska, Jeroen Bertels, Robin Lemmens, Matthew B. Blaschko
Dice Semimetric Losses: Optimizing the Dice Score with Soft Labels. MICCAI (3) (2023)
Teodora Popordanoska, Aleksei Tiulpin, Matthew B. Blaschko
Beyond Classification: Definition and Density-based Estimation of Calibration in Object Detection. CoRR (2023)
Teodora Popordanoska, Sebastian G. Gruber, Aleksei Tiulpin, Florian Büttner, Matthew B. Blaschko
Consistent and Asymptotically Unbiased Estimation of Proper Calibration Errors. CoRR (2023)
Zifu Wang, Teodora Popordanoska, Jeroen Bertels, Robin Lemmens, Matthew B. Blaschko
Dice Semimetric Losses: Optimizing the Dice Score with Soft Labels. CoRR (2023)
Teodora Popordanoska, Aleksei Tiulpin, Wacha Bounliphone, Matthew B. Blaschko
On confidence intervals for precision matrices and the eigendecomposition of covariance matrices. CoRR (2022)
Teodora Popordanoska, Raphael Sayer, Matthew B. Blaschko
A Consistent and Differentiable Lp Canonical Calibration Error Estimator. CoRR (2022)
Teodora Popordanoska, Matthew B. Blaschko
KULeuven at LeQua 2022: Model Calibration in Quantification Learning. CLEF (Working Notes) (2022)
Teodora Popordanoska, Raphael Sayer, Matthew B. Blaschko
A Consistent and Differentiable Lp Canonical Calibration Error Estimator. NeurIPS (2022)
Teodora Popordanoska, Jeroen Bertels, Dirk Vandermeulen, Frederik Maes, Matthew B. Blaschko
On the Relationship Between Calibrated Predictors and Unbiased Volume Estimation. MICCAI (1) (2021)
Teodora Popordanoska, Jeroen Bertels, Dirk Vandermeulen, Frederik Maes, Matthew B. Blaschko
On the relationship between calibrated predictors and unbiased volume estimation. CoRR (2021)
Teodora Popordanoska, Mohit Kumar, Stefano Teso
Machine Guides, Human Supervises: Interactive Learning with Global Explanations. CoRR (2020)
Teodora Popordanoska, Mohit Kumar, Stefano Teso
Toward Machine-Guided, Human-Initiated Explanatory Interactive Learning. CoRR (2020)