Associate Professor
Email:
lantonie@uoguelph.ca
Phone number:
x54979
Office:
Reynolds 3325
Website links:
Luiza Antonie
My research interests are in data mining techniques and methodology for interdisciplinary and applied research with a focus on record linkage, classification and data integration. Outside the School of Computer Science, I participate in interdisciplinary collaborations with other faculty members and students from Economics and History. One such project involves creating longitudinal data from historical census collections. Another project is on data-driven analysis of the gender wage gap in Ontario.
- data mining
- data integration
- record linkage
- longitudinal data
- classification
- gender wage gap
- Luiza Antonie, Kris Inwood, Daniel J. Lizotte, and J. Andrew Ross. Tracking people over time in 19th century Canada for longitudinal analysis. Machine Learning Journal 95, 1 (April 2014), 129-146.
- Luiza Antonie, Andrew D’Angelo, Gary Grewal, and Miana Plesca. Analyzing the gender wage gap in Ontario’s public sector. In Proceedings of IEEE International Conference on Machine Learning and Applications, 2015.
- Luiza Antonie and Kyrylo Bessonov. Classifying microarray data with association rules,. In ACM-SAC 2011 Conference Track on Bioinformatics and Computational Systems Biology (BIO), TaiChung, Taiwan, March 2011 (Best paper award in the Applications track)