Classifier Calibration: A survey on how to assess and improve predicted class probabilities

20 December 2021

Papers citing "Classifier Calibration: A survey on how to assess and improve predicted class probabilities"

9 / 9 papers shown

Title
Calibration and Uncertainty for multiRater Volume Assessment in multiorgan Segmentation (CURVAS) challenge results Meritxell Riera-Marin S. Ko Julia Rodriguez-Comas Matthias Stefan May Zhaohong Pan ... Anton Aubanell Andreu Antolin Javier Garcia-Lopez M. A. G. Ballester Adrian Galdran UQCV 36 0 0 13 May 2025
Exploring the Impact of Explainable AI and Cognitive Capabilities on Users' Decisions Federico Maria Cau Lucio Davide Spano 26 0 0 02 May 2025
Combining Priors with Experience: Confidence Calibration Based on Binomial Process Modeling Jinzong Dong Zhaohui Jiang Dong Pan Haoyang Yu 49 0 0 14 Dec 2024
Confidence Calibration of Classifiers with Many Classes Adrien LeCoz Stéphane Herbin Faouzi Adjed UQCV 33 1 0 05 Nov 2024
Selecting a classification performance measure: matching the measure to the problem D. Hand Peter Christen Sumayya Ziyad 11 1 0 19 Sep 2024
Probabilistic Scoring Lists for Interpretable Machine Learning Jonas Hanselle Stefan Heid Zhigang Zeng Eyke Hüllermeier 26 0 0 31 Jul 2024
Accuracy-Preserving Calibration via Statistical Modeling on Probability Simplex Yasushi Esaki Akihiro Nakamura Keisuke Kawano Ryoko Tokuhisa Takuro Kutsuna 33 0 0 21 Feb 2024
AI, Meet Human: Learning Paradigms for Hybrid Decision Making Systems Clara Punzi Roberto Pellungrini Mattia Setzu F. Giannotti D. Pedreschi 15 5 0 09 Feb 2024
Ensemble-based Uncertainty Quantification: Bayesian versus Credal Inference M. Shaker Eyke Hüllermeier UD UQCV PER BDL 217 16 0 21 Jul 2021