Luiza Antonie

Associate Professor
Phone number: 
Reynolds 3325

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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)