Model-Agnostic Counterfactual Explanations in Credit Scoring-Reference-Cited by-同舟云学术

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Model-Agnostic Counterfactual Explanations in Credit Scoring

Published:2022 Issue: Volume:10 Page:69543-69554
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Dastile Xolani¹^ORCID,Celik Turgay²^ORCID,Vandierendonck Hans³^ORCID

Affiliation:

1. School of Computer Science and Applied Mathematics, University of the Witwatersrand, Johannesburg, South Africa

2. School of Electrical and Information Engineering, University of the Witwatersrand, Johannesburg, South Africa

3. School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, Belfast, U.K

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09781414.pdf?arnumber=9781414

Reference33 articles.

1. SCOUT: Self-Aware Discriminant Counterfactual Explanations

2. Counterfactual visual explanations;goyal;Proc Int Conf Mach Learn,2019

3. Preserving causal constraints in counterfactual explanations for machine learning classifiers;mahajan;arXiv 1912 03277,2019

4. DECE: Decision Explorer with Counterfactual Explanations for Machine Learning Models

5. Counterfactual explanations for machine learning: A review;verma;arXiv 2010 10596,2020

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2. An explainable data-driven decision support framework for strategic customer development;Knowledge-Based Systems;2024-07

3. Credit Scoring for Loan Applicants Using Machine Learning Models;2023 4th International Conference on Intelligent Technologies (CONIT);2024-06-21

4. Robust integration of blockchain and explainable federated learning for automated credit scoring;Computer Networks;2024-04

5. Counterfactual Explanation of AI Models Using an Adaptive Genetic Algorithm With Embedded Feature Weights;IEEE Access;2024

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