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A Holistic Approach to Interpretability in Financial Lending: Models,
  Visualizations, and Summary-Explanations

A Holistic Approach to Interpretability in Financial Lending: Models, Visualizations, and Summary-Explanations

4 June 2021
Chaofan Chen
Kangcheng Lin
Cynthia Rudin
Yaron Shaposhnik
Sijia Wang
Tong Wang
ArXivPDFHTML

Papers citing "A Holistic Approach to Interpretability in Financial Lending: Models, Visualizations, and Summary-Explanations"

5 / 5 papers shown
Title
ViCE: Visual Counterfactual Explanations for Machine Learning Models
ViCE: Visual Counterfactual Explanations for Machine Learning Models
Oscar Gomez
Steffen Holter
Jun Yuan
E. Bertini
AAML
72
96
0
05 Mar 2020
An Interpretable Model with Globally Consistent Explanations for Credit
  Risk
An Interpretable Model with Globally Consistent Explanations for Credit Risk
Chaofan Chen
Kangcheng Lin
Cynthia Rudin
Yaron Shaposhnik
Sijia Wang
Tong Wang
FAtt
40
93
0
30 Nov 2018
RuleMatrix: Visualizing and Understanding Classifiers with Rules
RuleMatrix: Visualizing and Understanding Classifiers with Rules
Yao Ming
Huamin Qu
E. Bertini
FAtt
51
215
0
17 Jul 2018
A Survey Of Methods For Explaining Black Box Models
A Survey Of Methods For Explaining Black Box Models
Riccardo Guidotti
A. Monreale
Salvatore Ruggieri
Franco Turini
D. Pedreschi
F. Giannotti
XAI
81
3,922
0
06 Feb 2018
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAtt
FaML
577
16,828
0
16 Feb 2016
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