受强制性开放获取政策约束的文章 - Teodora Popordanoska了解详情
可在其他位置公开访问的文章：6 篇
A Consistent and Differentiable Lp Canonical Calibration Error Estimator
T Popordanoska, R Sayer, MB Blaschko
Advances in Neural Information Processing Systems, 2022, 2022
强制性开放获取政策： Research Foundation (Flanders)
Dice Semimetric Losses: Optimizing the Dice Score with Soft Labels
Z Wang, T Popordanoska, J Bertels, R Lemmens, MB Blaschko
International Conference on Medical Image Computing and Computer Assisted …, 2023
强制性开放获取政策： Research Foundation (Flanders)
On the relationship between calibrated predictors and unbiased volume estimation
T Popordanoska, J Bertels, D Vandermeulen, F Maes, MB Blaschko
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
强制性开放获取政策： European Commission
Beyond classification: Definition and density-based estimation of calibration in object detection
T Popordanoska, A Tiulpin, M Blaschko
Proceedings WACV 2024, 2023
强制性开放获取政策： Research Foundation (Flanders), Academy of Finland
Consistent and Asymptotically Unbiased Estimation of Proper Calibration Errors
T Popordanoska, SG Gruber, A Tiulpin, F Buettner, MB Blaschko
International Conference on Artificial Intelligence and Statistics, 3466-3474, 2024
强制性开放获取政策： Academy of Finland, European Commission
To trust or not to trust: Assessing calibration error under covariate shift without labels
T Popordanoska, A Tiulpin, M Blaschko
ICCV workshops proceedings, 2023
强制性开放获取政策： Research Foundation (Flanders), Academy of Finland
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