Fighting Money Laundering with Statistics and Machine Learning

11 January 2022

Papers citing "Fighting Money Laundering with Statistics and Machine Learning"

6 / 6 papers shown

Title
Engineering the Law-Machine Learning Translation Problem: Developing Legally Aligned Models Mathias Hanson Gregory Lewkowicz Sam Verboven AILaw ELM 69 1 0 23 Apr 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 12 2 0 14 Feb 2024
ViCE: Visual Counterfactual Explanations for Machine Learning Models Oscar Gomez Steffen Holter Jun Yuan E. Bertini AAML 49 93 0 05 Mar 2020
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 294 4,187 0 23 Aug 2019
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 214 7,915 0 17 Aug 2015
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 243 7,620 0 03 Jul 2012