2 papers
math.ST2022
On confidence intervals for precision matrices and the eigendecomposition of covariance matrices
Teodora Popordanoska, Aleksei Tiulpin, Wacha Bounliphone +1
The eigendecomposition of a matrix is the central procedure in probabilistic models based on matrix factorization, for instance principal component analysis and topic models. Quant…
eess.IV2021
On the relationship between calibrated predictors and unbiased volume estimation
Teodora Popordanoska, Jeroen Bertels, Dirk Vandermeulen +2
Machine learning driven medical image segmentation has become standard in medical image analysis. However, deep learning models are prone to overconfident predictions. This has led…