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Explainable AI for Interpretable Credit Scoring

Explainable AI for Interpretable Credit Scoring

3 December 2020
Lara Marie Demajo
Vince Vella
A. Dingli
ArXiv (abs)PDFHTML

Papers citing "Explainable AI for Interpretable Credit Scoring"

14 / 14 papers shown
Unlocking the Black Box: A Five-Dimensional Framework for Evaluating Explainable AI in Credit Risk
Unlocking the Black Box: A Five-Dimensional Framework for Evaluating Explainable AI in Credit Risk
Rongbin Ye
Jiaqi Chen
97
0
0
07 Nov 2025
Language Model Guided Reinforcement Learning in Quantitative Trading
Language Model Guided Reinforcement Learning in Quantitative Trading
Adam Darmanin
Vince Vella
AIFin
293
1
0
04 Aug 2025
WISCA: A Consensus-Based Approach to Harmonizing Interpretability in Tabular Datasets
WISCA: A Consensus-Based Approach to Harmonizing Interpretability in Tabular Datasets
A. Banegas-Luna
Horacio Pérez-Sánchez
Carlos Martínez-Cortés
143
0
0
06 Jun 2025
Linear Discriminant Analysis in Credit Scoring: A Transparent Hybrid
  Model Approach
Linear Discriminant Analysis in Credit Scoring: A Transparent Hybrid Model Approach
Md Shihab Reza
Monirul Islam Mahmud
Ifti Azad Abeer
Nova Ahmed
200
4
0
05 Dec 2024
Peeking Inside the Schufa Blackbox: Explaining the German Housing
  Scoring System
Peeking Inside the Schufa Blackbox: Explaining the German Housing Scoring System
Dean-Robin Kern
Gunnar Stevens
Erik Dethier
Sidra Naveed
F. Alizadeh
Delong Du
Md. Shajalal
256
1
0
20 Nov 2023
A Comprehensive Review on Financial Explainable AI
A Comprehensive Review on Financial Explainable AIArtificial Intelligence Review (AIR), 2023
Wei Jie Yeo
Wihan van der Heever
Rui Mao
Xiaoshi Zhong
Frank Xing
G. Mengaldo
XAIAI4TS
268
52
0
21 Sep 2023
Appropriate Reliance on AI Advice: Conceptualization and the Effect of
  Explanations
Appropriate Reliance on AI Advice: Conceptualization and the Effect of ExplanationsInternational Conference on Intelligent User Interfaces (IUI), 2023
Max Schemmer
Niklas Kühl
Carina Benz
Andrea Bartos
G. Satzger
270
153
0
04 Feb 2023
Explainable, Interpretable & Trustworthy AI for Intelligent Digital
  Twin: Case Study on Remaining Useful Life
Explainable, Interpretable & Trustworthy AI for Intelligent Digital Twin: Case Study on Remaining Useful LifeEngineering applications of artificial intelligence (Eng. Appl. Artif. Intell.), 2023
Kazuma Kobayashi
S. B. Alam
233
103
0
17 Jan 2023
Generating detailed saliency maps using model-agnostic methods
Generating detailed saliency maps using model-agnostic methods
Maciej Sakowicz
FAtt
160
0
0
04 Sep 2022
SHAP-XRT: The Shapley Value Meets Conditional Independence Testing
SHAP-XRT: The Shapley Value Meets Conditional Independence Testing
Jacopo Teneggi
Beepul Bharti
Yaniv Romano
Jeremias Sulam
FAtt
481
9
0
14 Jul 2022
I Know Therefore I Score: Label-Free Crafting of Scoring Functions using Constraints Based on Domain Expertise
I Know Therefore I Score: Label-Free Crafting of Scoring Functions using Constraints Based on Domain Expertise
Ragja Palakkadavath
S. Sivaprasad
Shirish S. Karande
N. Pedanekar
240
0
0
18 Mar 2022
A Framework and Benchmarking Study for Counterfactual Generating Methods
  on Tabular Data
A Framework and Benchmarking Study for Counterfactual Generating Methods on Tabular DataApplied Sciences (AS), 2021
Raphael Mazzine
David Martens
212
37
0
09 Jul 2021
Interpretability in deep learning for finance: a case study for the
  Heston model
Interpretability in deep learning for finance: a case study for the Heston modelSocial Science Research Network (SSRN), 2021
D. Brigo
Xiaoshan Huang
A. Pallavicini
Haitz Sáez de Ocáriz Borde
FAtt
158
14
0
19 Apr 2021
Explaining Credit Risk Scoring through Feature Contribution Alignment
  with Expert Risk Analysts
Explaining Credit Risk Scoring through Feature Contribution Alignment with Expert Risk Analysts
Ayoub El Qadi
Natalia Díaz Rodríguez
M. Trocan
Thomas Frossard
129
7
0
15 Mar 2021
1