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Transparency, Auditability and eXplainability of Machine Learning Models
  in Credit Scoring

Transparency, Auditability and eXplainability of Machine Learning Models in Credit Scoring

28 September 2020
Michael Bücker
G. Szepannek
Alicja Gosiewska
P. Biecek
    FaML
ArXiv (abs)PDFHTML

Papers citing "Transparency, Auditability and eXplainability of Machine Learning Models in Credit Scoring"

11 / 11 papers shown
Title
Multi-criteria Rank-based Aggregation for Explainable AI
Multi-criteria Rank-based Aggregation for Explainable AI
Sujoy Chatterjee
Everton Romanzini Colombo
Marcos Medeiros Raimundo
XAI
27
0
0
30 May 2025
Axiomatic Explainer Globalness via Optimal Transport
Axiomatic Explainer Globalness via Optimal Transport
Davin Hill
Josh Bone
A. Masoomi
Max Torop
Jennifer Dy
212
1
0
13 Mar 2025
Explainable AI is Responsible AI: How Explainability Creates Trustworthy
  and Socially Responsible Artificial Intelligence
Explainable AI is Responsible AI: How Explainability Creates Trustworthy and Socially Responsible Artificial Intelligence
Stephanie B. Baker
Wei Xiang
XAI
58
6
0
04 Dec 2023
Glocal Explanations of Expected Goal Models in Soccer
Glocal Explanations of Expected Goal Models in Soccer
Mustafa Cavus
Adrian Stando
P. Biecek
81
4
0
29 Aug 2023
Interpretable Selective Learning in Credit Risk
Interpretable Selective Learning in Credit Risk
Dangxing Chen
Weicheng Ye
Jiahui Ye
FaML
66
16
0
21 Sep 2022
Shapley value-based approaches to explain the robustness of classifiers
  in machine learning
Shapley value-based approaches to explain the robustness of classifiers in machine learning
G. D. Pelegrina
S. Siraj
FAtt
28
3
0
09 Sep 2022
Multi-Objective Hyperparameter Optimization in Machine Learning -- An
  Overview
Multi-Objective Hyperparameter Optimization in Machine Learning -- An Overview
Florian Karl
Tobias Pielok
Julia Moosbauer
Florian Pfisterer
Stefan Coors
...
Jakob Richter
Michel Lang
Eduardo C. Garrido-Merchán
Juergen Branke
B. Bischl
AI4CE
86
61
0
15 Jun 2022
Deep Learning vs. Gradient Boosting: Benchmarking state-of-the-art
  machine learning algorithms for credit scoring
Deep Learning vs. Gradient Boosting: Benchmarking state-of-the-art machine learning algorithms for credit scoring
Marc Schmitt
96
21
0
21 May 2022
Deep Learning in Business Analytics: A Clash of Expectations and Reality
Deep Learning in Business Analytics: A Clash of Expectations and Reality
Marc Schmitt
79
58
0
19 May 2022
Multicriteria interpretability driven Deep Learning
Multicriteria interpretability driven Deep Learning
M. Repetto
41
14
0
28 Nov 2021
FUTURE-AI: Guiding Principles and Consensus Recommendations for
  Trustworthy Artificial Intelligence in Medical Imaging
FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging
Karim Lekadira
Richard Osuala
C. Gallin
Noussair Lazrak
Kaisar Kushibar
...
Nickolas Papanikolaou
Zohaib Salahuddin
Henry C. Woodruff
Philippe Lambin
L. Martí-Bonmatí
AI4TS
163
62
0
20 Sep 2021
1