Learn, Imagine, Build
Geoff Messier's Projects & Ideas
The following list of publications includes links to preprint versions of each paper and the source code used to generate results. The source code is distributed under the GNU General Public License, Version 3.
Note: Many of these papers will utilize sensitive datasets that are controlled using university ethics board approved security and privacy protocols. As a result, the datasets used by the posted source code are often not included. This means that you can inspect our code to gain insights into our methods but you will not be able to run it to reproduce results.
M. Taib and G. G. Messier, “Efficient Observation Time Window Segmentation for Administrative Data Machine Learning”, submitted to the ACM Transactions on Management Information Systems, Dec. 2023. (arXiv preprint)
R. Barry, J. Anderson, L. Tran, A. Bahji, G. Dimitropolous, S. M. Ghosh, J. Kirkham, G. Messier, S. Patten, K. Rittenbach, and D. Seitz,”The Prevalence of Addictions and Mental Health Problems among Individuals Experiencing Homelessness: A Systematic Review and Meta-analysis”, submitted to JAMA Psychiatry, Jun. 2023.
F. Shahidi, M. E. MacDonald, and G. G. Messier, “Risk Assessment and Predicting Homelessness and Police Interaction in Calgary Through Administrative Health Care Data”, submitted to Scientific Reports, Nov. 2023. doi: DOI:10.21203/rs.3.rs-3592036/v1.