1.3k citations · 1.4k across the 11 of their papers we have counts for
11 papers
Enhancing Equitable Access to AI in Housing and Homelessness System of Care through Federated Learning
Musa Taib, Jiajun Wu, Steve Drew +1
The top priority of a Housing and Homelessness System of Care (HHSC) is to connect people experiencing homelessness to supportive housing. An HHSC typically consists of many agenci…
Efficient Observation Time Window Segmentation for Administrative Data Machine Learning
Musa Taib, Geoffrey G. Messier
Machine learning models benefit when allowed to learn from temporal trends in time-stamped administrative data. These trends can be represented by dividing a model's observation wi…
A Simpler Method for Understanding Emergency Shelter Access Patterns
Geoffrey G. Messier
The Simplified Access Metric (SAM) is a new approach for characterizing emergency shelter access patterns as a measure of shelter client vulnerability. The goal of SAM is to provid…
Predicting Chronic Homelessness: The Importance of Comparing Algorithms using Client Histories
Geoffrey G. Messier, Caleb John, Ayush Malik
This paper investigates how to best compare algorithms for predicting chronic homelessness for the purpose of identifying good candidates for housing programs. Predictive methods c…
The Best Thresholds for Rapid Identification of Episodic and Chronic Homeless Shelter Use
Geoffrey Guy Messier, Leslie Tutty, Caleb John
This paper explores how to best identify clients for housing services based on their homeless shelter access patterns. We focus on counting the number of shelter stays and episodes…
Adaptive M-QAM for Indoor Wireless Environments : Rate & Power Adaptation
I. Dey, G. G. Messier, S. Magierowski
This letter presents a detailed study for indoor wireless environments, where transmit power, rate and target bit error rate (BER) are varied to increase spectral efficiency. The s…