STAIR Research Group | Scalable & Trustworthy AI Research
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Anomaly Detection
FlowScope: Spotting Money Laundering Based on Graphs
A scalable algorithm for detecting money laundering in financial networks using multipartite graph modeling to trace complete fund flows from source to destination accounts.
Apr 3, 2020
📊 Code Repository
📄 AAAI Paper
🎯 Demo
BeatGAN: Anomalous Rhythm Detection using Adversarially Generated Time Series
An unsupervised anomaly detection algorithm for time series data using adversarial generation, specifically designed for detecting anomalous patterns in rhythmic sequences like ECG readings.
Aug 10, 2019
📊 Code Repository
📄 Paper
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