3 papers
cs.LG2026
Robustness Quantification and Uncertainty Quantification: Comparing Two Methods for Assessing the Reliability of Classifier Predictions
Adrián Detavernier, Jasper De Bock
We consider two approaches for assessing the reliability of the individual predictions of a classifier: Robustness Quantification (RQ) and Uncertainty Quantification (UQ). We expla…
cs.LG2025
Robustness and uncertainty: two complementary aspects of the reliability of the predictions of a classifier
Adrián Detavernier, Jasper De Bock
We consider two conceptually different approaches for assessing the reliability of the individual predictions of a classifier: Robustness Quantification (RQ) and Uncertainty Quanti…
cs.LG2025
Robustness quantification: a new method for assessing the reliability of the predictions of a classifier
Adrián Detavernier, Jasper De Bock
Based on existing ideas in the field of imprecise probabilities, we present a new approach for assessing the reliability of the individual predictions of a generative probabilistic…