Simulating and classifying behavior in adversarial environments based on action-state traces: an application to money laundering

3 November 2020

Papers citing "Simulating and classifying behavior in adversarial environments based on action-state traces: an application to money laundering"

6 / 6 papers shown

Title
Behavioral Sequence Modeling with Ensemble Learning Maxime Kawawa-Beaudan Srijan Sood Soham Palande Ganapathy Mani T. Balch Manuela Veloso 82 0 0 04 Nov 2024
A Look into Causal Effects under Entangled Treatment in Graphs: Investigating the Impact of Contact on MRSA Infection Jing Ma Chen Chen A. Vullikanti Ritwick Mishra Gregory R. Madden Daniel Borrajo Jundong Li CML 77 4 0 17 Jul 2023
Fighting Money Laundering with Statistics and Machine Learning R. Jensen Alexandros Iosifidis 65 15 0 11 Jan 2022
Towards Realistic Market Simulations: a Generative Adversarial Networks Approach Andrea Coletta Matteo Prata Michele Conti Emanuele Mercanti N. Bartolini Aymeric Moulin Svitlana Vyetrenko T. Balch GAN 98 44 0 25 Oct 2021
Goal recognition via model-based and model-free techniques Daniel Borrajo Sriram Gopalakrishnan Vamsi K. Potluru 32 11 0 03 Nov 2020
Time your hedge with Deep Reinforcement Learning Eric Benhamou David Saltiel Sandrine Ungari Abhishek Mukhopadhyay AIFin 38 15 0 16 Sep 2020