Kuala Lumpur, Malaysia -> Vancouver, British Columbia -> Pittsburgh, Pennsylvania
Disease outbreak detection, Anomaly detection, Spatial statistics, Bayes Net structure learning, Reinforcement learning
Efficient Analytics for Effective Monitoring of Biomedical Security
Bayesian Network Anomaly Pattern Detection for Disease Outbreaks
Handles temporal trends in data by replacing the baseline of WSARE 2.0 with a baseline generated by a Bayesian network.
What's Strange About Recent Events
A shorter paper on WSARE that was submitted to the Journal of Urban Health
Optimal Reinsertion: A new search operator for accelerated and more accurate Bayesian network structure learning
Very aggressive but computationally efficient search steps for Bayes net learning.
Efficient Algorithms for Non-Parametric Clustering with Clutter
Finding and counting the high density regions in spatial data.
Rule-based Anomaly Pattern Detection for Detecting Disease Outbreaks
Answering the question: "What's Strange About Recent Events?"
Distributed Value Functions
Distributed Reinforcement learning for applications such a power grids
Cuevas CFF Clustering
Cuevas uses the 2-step CFF algorithm to perform clustering against a noisy background.
This program takes as input a date-indexed biosurveillance data stream such as Emergency Department data, and looks for recent strange events.
Bayes Net Learner
This program learns Bayesian network structure from categorical data.