Robustness and uncertainty: two complementary aspects of the reliability of the predictions of a classifier

Ähnliche Einträge

• Robustness quantification: a new method for assessing the reliability of the predictions of a classifier
  von: Detavernier, Adrián, et al.
  Veröffentlicht: (2025)
• Robustness Quantification and Uncertainty Quantification: Comparing Two Methods for Assessing the Reliability of Classifier Predictions
  von: Detavernier, Adrián, et al.
  Veröffentlicht: (2026)
• Robustness Quantification for Discriminative Models: a New Robustness Metric and its Application to Dynamic Classifier Selection
  von: Lassance, Rodrigo F. L., et al.
  Veröffentlicht: (2026)
• The Certainty Ratio $C_ρ$: a novel metric for assessing the reliability of classifier predictions
  von: Aguilar-Ruiz, Jesus S.
  Veröffentlicht: (2024)
• On the good reliability of an interval-based metric to validate prediction uncertainty for machine learning regression tasks
  von: Pernot, Pascal
  Veröffentlicht: (2024)