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RESHAPE: Explaining Accounting Anomalies in Financial Statement Audits
  by enhancing SHapley Additive exPlanations

RESHAPE: Explaining Accounting Anomalies in Financial Statement Audits by enhancing SHapley Additive exPlanations

19 September 2022
Ricardo Müller
Marco Schreyer
Timur Sattarov
Damian Borth
    AAML
    MLAU
ArXivPDFHTML

Papers citing "RESHAPE: Explaining Accounting Anomalies in Financial Statement Audits by enhancing SHapley Additive exPlanations"

4 / 4 papers shown
Title
A Comprehensive Review on Financial Explainable AI
A Comprehensive Review on Financial Explainable AI
Wei Jie Yeo
Wihan van der Heever
Rui Mao
Min Zhang
Ranjan Satapathy
G. Mengaldo
XAI
AI4TS
29
15
0
21 Sep 2023
Multi-view Contrastive Self-Supervised Learning of Accounting Data
  Representations for Downstream Audit Tasks
Multi-view Contrastive Self-Supervised Learning of Accounting Data Representations for Downstream Audit Tasks
Marco Schreyer
Timur Sattarov
Damian Borth
MLAU
32
15
0
23 Sep 2021
Explainable Machine Learning for Fraud Detection
Explainable Machine Learning for Fraud Detection
I. Psychoula
A. Gutmann
Pradip Mainali
Sharon H. Lee
Paul Dunphy
F. Petitcolas
FaML
60
36
0
13 May 2021
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
257
3,684
0
28 Feb 2017
1