68 citations · 132 across the 7 of their papers we have counts for
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cs.LG2016★ 4 cited
Low Latency Anomaly Detection and Bayesian Network Prediction of Anomaly Likelihood
Derek Farren, Thai Pham, Marco Alban-Hidalgo
We develop a supervised machine learning model that detects anomalies in systems in real time. Our model processes unbounded streams of data into time series which then form the ba…
cs.LG2016★ 2 cited
Unsupervised Learning For Effective User Engagement on Social Media
Thai Pham, Camelia Simoiu
In this paper, we investigate the effectiveness of unsupervised feature learning techniques in predicting user engagement on social media. Specifically, we compare two methods to p…
cs.LG2016★ 68 cited
Anomaly Detection in Bitcoin Network Using Unsupervised Learning Methods
Thai Pham, Steven Lee
The problem of anomaly detection has been studied for a long time. In short, anomalies are abnormal or unlikely things. In financial networks, thieves and illegal activities are of…