RMExplorer: A Visual Analytics Approach to Explore the Performance and
the Fairness of Disease Risk Models on Population Subgroups

RMExplorer: A Visual Analytics Approach to Explore the Performance and the Fairness of Disease Risk Models on Population Subgroups

14 September 2022

Mikhail Yurochkin

Deanna G. Brockman

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Papers citing "RMExplorer: A Visual Analytics Approach to Explore the Performance and the Fairness of Disease Risk Models on Population Subgroups"

14 / 14 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 67 162 0 22 Dec 2022
DASH: Visual Analytics for Debiasing Image Classification via User-Driven Synthetic Data Augmentation Bum Chul Kwon Jungsoo Lee Chaeyeon Chung Nyoungwoo Lee Ho-Jin Choi Jaegul Choo 60 10 0 14 Sep 2022
Statistical inference for individual fairness Subha Maity Songkai Xue Mikhail Yurochkin Yuekai Sun FaML 59 20 0 30 Mar 2021
exBERT: A Visual Analysis Tool to Explore Learned Representations in Transformers Models Benjamin Hoover Hendrik Strobelt Sebastian Gehrmann 35 86 0 11 Oct 2019
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 571 14 0 23 Aug 2019
FairSight: Visual Analytics for Fairness in Decision Making Yongsu Ahn Y. Lin 54 124 0 01 Aug 2019
Training individually fair ML models with Sensitive Subspace Robustness Mikhail Yurochkin Amanda Bower Yuekai Sun FaML OOD 69 120 0 28 Jun 2019
DPVis: Visual Analytics with Hidden Markov Models for Disease Progression Pathways Bum Chul Kwon V. Anand Kristen A. Severson S. Ghosh Zhaonan Sun B. Frohnert M. Lundgren Kenney Ng 39 50 0 26 Apr 2019
Model Cards for Model Reporting Margaret Mitchell Simone Wu Andrew Zaldivar Parker Barnes Lucy Vasserman Ben Hutchinson Elena Spitzer Inioluwa Deborah Raji Timnit Gebru 127 1,903 0 05 Oct 2018
AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias Rachel K. E. Bellamy Kuntal Dey Michael Hind Samuel C. Hoffman Stephanie Houde ... Diptikalyan Saha P. Sattigeri Moninder Singh Kush R. Varshney Yunfeng Zhang FaML SyDa 101 810 0 03 Oct 2018
RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records Bum Chul Kwon Min-Je Choi J. Kim Edward Choi Young Bin Kim Soonwook Kwon Jimeng Sun Jaegul Choo 69 252 0 28 May 2018
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 1.1K 22,002 0 22 May 2017
Towards Better Analysis of Machine Learning Models: A Visual Analytics Perspective Shixia Liu Xiting Wang Mengchen Liu Jun Zhu HAI 51 365 0 04 Feb 2017
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 17,027 0 16 Feb 2016

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