U-Trustworthy Models.Reliability, Competence, and Confidence in Decision-Making

4 January 2024

Papers citing "U-Trustworthy Models.Reliability, Competence, and Confidence in Decision-Making"

11 / 11 papers shown

Title
The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations Angelos Chatzimparmpas R. Martins I. Jusufi K. Kucher Fabrice Rossi A. Kerren FAtt 88 162 0 22 Dec 2022
Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List Stability Peisong Wen Qianqian Xu Zhiyong Yang Yuan He Qingming Huang 125 10 0 27 Sep 2022
The Value of AI Guidance in Human Examination of Synthetically-Generated Faces Aidan Boyd Patrick J. Tinsley Kevin W. Bowyer A. Czajka CVBM 55 9 0 22 Aug 2022
Optimizing Two-way Partial AUC with an End-to-end Framework Zhiyong Yang Qianqian Xu Shilong Bao Yuan He Xiaochun Cao Qingming Huang 69 20 0 23 Jun 2022
Learning to Predict Trustworthiness with Steep Slope Loss Yan Luo Yongkang Wong Mohan S. Kankanhalli Qi Zhao 58 13 0 30 Sep 2021
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 299 500 0 31 Dec 2020
How Much Can We Really Trust You? Towards Simple, Interpretable Trust Quantification Metrics for Deep Neural Networks A. Wong Xiao Yu Wang Andrew Hryniowski 53 23 0 12 Sep 2020
The relationship between trust in AI and trustworthy machine learning technologies Ehsan Toreini Mhairi Aitken Kovila P. L. Coopamootoo Karen Elliott Carlos Vladimiro Gonzalez Zelaya Aad van Moorsel FaML 73 260 0 27 Nov 2019
Calibration tests in multi-class classification: A unifying framework David Widmann Fredrik Lindsten Dave Zachariah 94 94 0 24 Oct 2019
To Trust Or Not To Trust A Classifier Heinrich Jiang Been Kim Melody Y. Guan Maya R. Gupta UQCV 179 473 0 30 May 2018
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 17,071 0 16 Feb 2016