ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2103.00949
  4. Cited By
Explainable AI in Credit Risk Management

Explainable AI in Credit Risk Management

Social Science Research Network (SSRN), 2021
1 March 2021
Branka Hadji Misheva
Jörg Osterrieder
Ali Hirsa
O. Kulkarni
Stephen Lin
ArXiv (abs)PDFHTML

Papers citing "Explainable AI in Credit Risk Management"

19 / 19 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
126
0
0
07 Nov 2025
Interpreting LLMs as Credit Risk Classifiers: Do Their Feature Explanations Align with Classical ML?
Interpreting LLMs as Credit Risk Classifiers: Do Their Feature Explanations Align with Classical ML?
Saeed AlMarri
Kristof Juhasz
Mathieu Ravaut
Gautier Marti
Hamdan Al Ahbabi
Ibrahim Elfadel
FAtt
202
0
0
29 Oct 2025
Building crypto portfolios with agentic AI
Building crypto portfolios with agentic AI
Antonino Castelli
Paolo Giudici
Alessandro Piergallini
AIFin
124
0
0
11 Jul 2025
PnPXAI: A Universal XAI Framework Providing Automatic Explanations Across Diverse Modalities and Models
PnPXAI: A Universal XAI Framework Providing Automatic Explanations Across Diverse Modalities and Models
Seongun Kim
Sol A Kim
Geonhyeong Kim
Enver Menadjiev
Chanwoo Lee
Seongwook Chung
Nari Kim
Jaesik Choi
501
0
0
15 May 2025
A Multi-Layered Research Framework for Human-Centered AI: Defining the Path to Explainability and Trust
A Multi-Layered Research Framework for Human-Centered AI: Defining the Path to Explainability and Trust
Chameera De Silva
Thilina Halloluwa
Dhaval Vyas
263
1
0
14 Apr 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
277
5
0
05 Dec 2024
TABCF: Counterfactual Explanations for Tabular Data Using a
  Transformer-Based VAE
TABCF: Counterfactual Explanations for Tabular Data Using a Transformer-Based VAEInternational Conference on AI in Finance (ICAF), 2024
Emmanouil Panagiotou
Manuel Heurich
Tim Landgraf
Eirini Ntoutsi
LMTD
224
9
0
14 Oct 2024
Increasing Profitability and Confidence by using Interpretable Model for
  Investment Decisions
Increasing Profitability and Confidence by using Interpretable Model for Investment Decisions
Sahar Arshad
Seemab Latif
Ahmad Salman
R. Latif
158
2
0
24 Dec 2023
TransCORALNet: A Two-Stream Transformer CORAL Networks for Supply Chain
  Credit Assessment Cold Start
TransCORALNet: A Two-Stream Transformer CORAL Networks for Supply Chain Credit Assessment Cold StartExpert systems with applications (ESWA), 2023
Jie Shi
A. Siebes
S. Mehrkanoon
294
8
0
30 Nov 2023
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
291
1
0
20 Nov 2023
American Option Pricing using Self-Attention GRU and Shapley Value
  Interpretation
American Option Pricing using Self-Attention GRU and Shapley Value Interpretation
Yanhui Shen
329
2
0
19 Oct 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
312
85
0
21 Sep 2023
Modeling Inverse Demand Function with Explainable Dual Neural Networks
Modeling Inverse Demand Function with Explainable Dual Neural NetworksInternational Conference on AI in Finance (ICAF), 2023
Zhiyu Cao
Zihan Chen
P. Mishra
Hamed Amini
Zachary Feinstein
301
5
0
26 Jul 2023
Non-Uniform Interpolation in Integrated Gradients for Low-Latency
  Explainable-AI
Non-Uniform Interpolation in Integrated Gradients for Low-Latency Explainable-AIInternational Symposium on Circuits and Systems (ISCAS), 2023
Ashwin Bhat
A. Raychowdhury
332
6
0
22 Feb 2023
SpecXAI -- Spectral interpretability of Deep Learning Models
SpecXAI -- Spectral interpretability of Deep Learning Models
Stefan Druc
Peter Wooldridge
A. Krishnamurthy
Soumik Sarkar
Aditya Balu
215
1
0
20 Feb 2023
A Time Series Approach to Explainability for Neural Nets with
  Applications to Risk-Management and Fraud Detection
A Time Series Approach to Explainability for Neural Nets with Applications to Risk-Management and Fraud Detection
M. Wildi
Branka Hadji Misheva
AI4TS
187
1
0
06 Dec 2022
LioNets: A Neural-Specific Local Interpretation Technique Exploiting
  Penultimate Layer Information
LioNets: A Neural-Specific Local Interpretation Technique Exploiting Penultimate Layer Information
Ioannis Mollas
Nick Bassiliades
Grigorios Tsoumakas
192
9
0
13 Apr 2021
Explaining Deep Learning Models for Structured Data using Layer-Wise
  Relevance Propagation
Explaining Deep Learning Models for Structured Data using Layer-Wise Relevance Propagation
hsan Ullah
André Ríos
Vaibhav Gala
Susan Mckeever
FAtt
219
10
0
26 Nov 2020
Principles and Practice of Explainable Machine Learning
Principles and Practice of Explainable Machine LearningFrontiers in Big Data (Front. Big Data), 2020
Vaishak Belle
I. Papantonis
FaML
302
552
0
18 Sep 2020
1
Page 1 of 1