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Fighting Money Laundering with Statistics and Machine Learning
IEEE Access (IEEE Access), 2022
11 January 2022
R. Jensen
Alexandros Iosifidis
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ArXiv (abs)
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Papers citing
"Fighting Money Laundering with Statistics and Machine Learning"
4 / 4 papers shown
Engineering the Law-Machine Learning Translation Problem: Developing Legally Aligned Models
Mathias Hanson
Gregory Lewkowicz
Sam Verboven
AILaw
ELM
399
1
0
23 Apr 2025
Intelligent Anti-Money Laundering Solution Based upon Novel Community Detection in Massive Transaction Networks on Spark
International Conference on Advanced Cloud and Big Data (ICACBD), 2017
Xurui Li
Xiang Cao
Xuetao Qiu
Jintao Zhao
Jianbin Zheng
247
30
0
17 Jan 2025
Combating Financial Crimes with Unsupervised Learning Techniques: Clustering and Dimensionality Reduction for Anti-Money Laundering
Ahmed N. Bakry
Almohammady S. Alsharkawy
Mohamed S. Farag
K. Raslan
152
4
0
14 Feb 2024
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAtt
FaML
2.7K
21,359
0
16 Feb 2016
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