3 papers
cs.CV2026
Less Annotation, More Interpretation: Prior-Guided Concept Bottleneck Models for Interpretable Cancer Imaging Diagnosis
Baoqiang Ma, Kenneth Gilhuijs
Concept bottleneck models (CBMs) can improve the transparency of cancer image diagnostic prediction by expressing predictions through radiological concepts. However, their dependen…
stat.ME2026
Estimation of the Risk Measure under a Nuisance Autoregression
Jana JureÄková, Jan Picek
The goal of an experiment is to evaluate the profit, loss, or the amount of a physical entity over a period. The measurements can be influenced by the values measured in the…
stat.ME2024
Estimation of Quantile Functionals in Linear Model
Jana JureÄková, Jan Picek, Jan Kalina
Various indicators and measures of the real life procedures rise up as functionals of the quantile process of a parent random variable Z. However, Z can be observed only through a…