Maria-Luiza Antonie

发表

Analyzing the Gender Wage Gap in Ontario's Public Sector

Gary William Grewal, Maria-Luiza Antonie, Andrew D'Angelo, 2015, 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA).

Gender Wage Gap in the University Sector: A Case Study of All Universities in Ontario, Canada

Dar'ya Heyko, Maria-Luiza Antonie, Miana Plesca, 2018, SocInfo.

Mammography Classification By an Association Rule-based Classifier

Osmar R. Zaïane, Alexandru Coman, Maria-Luiza Antonie, 2002, MDM/KDD.

Chapter IX Variations on Associative Classifiers and Classification Results Analyses

Maria-Luiza Antonie, David Chodos, Osmar R. Zaïane, 2009 .

Classifying Text Documents by Associating Terms With Text Categories

Osmar R. Zaïane, Maria-Luiza Antonie, 2002, Australasian Database Conference.

Tracking people over time in 19th century Canada for longitudinal analysis

Maria-Luiza Antonie, Daniel J. Lizotte, Kris Inwood, 2014, Machine Learning.

Automatic Household Identification for Historical Census Data

Gary William Grewal, Maria-Luiza Antonie, Kris Inwood, 2017, Canadian Conference on AI.

Name2Vec: Personal Names Embeddings

Maria-Luiza Antonie, Jérémy Foxcroft, Adrian d'Alessandro, 2019, Canadian Conference on AI.

Text document categorization by term association

Osmar R. Zaïane, Maria-Luiza Antonie, Osmar R Zaiane, 2002, 2002 IEEE International Conference on Data Mining, 2002. Proceedings..

Considering Re-occurring Features in Associative Classifiers

Osmar R. Zaïane, Maria-Luiza Antonie, Wojciech Stach, 2005, PAKDD.

An associative classifier based on positive and negative rules

Osmar R. Zaïane, Maria-Luiza Antonie, Osmar R Zaiane, 2004, DMKD '04.

Associating Terms with Text Categories

Osmar R. Zaïane, Maria-Luiza Antonie, 2001 .

Negative Association Rules

Osmar R. Zaïane, Jundong Li, Maria-Luiza Antonie, 2014, Frequent Pattern Mining.

Dancing with Dirty Data: Problems in the Extraction of Life-Course Evidence from Historical Censuses

Maria-Luiza Antonie, Kris Inwood, J. Andrew Ross, 2015, Population Reconstruction.

On Pruning and Tuning Rules for Associative Classifiers

Osmar R. Zaïane, Maria-Luiza Antonie, Osmar R Zaiane, 2005, KES.

Learning to Use a Learned Model: A Two-Stage Approach to Classification

Osmar R. Zaïane, Robert C. Holte, Maria-Luiza Antonie, 2006, Sixth International Conference on Data Mining (ICDM'06).

Feature Space Enrichment by Incorporation of Implicit Features for Effective Classification

Osmar R. Zaïane, Maria-Luiza Antonie, Abhishek Srivastava, 2007, 11th International Database Engineering and Applications Symposium (IDEAS 2007).

Application of Data Mining Techniques for Medical Image Classification

Osmar R. Zaïane, Alexandru Coman, Maria-Luiza Antonie, 2001, MDM/KDD.

Historical Data Integration a Study of WWI Canadian Soldiers

Gary William Grewal, Maria-Luiza Antonie, Kris Inwood, 2016, 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW).

Mining Positive and Negative Association Rules: An Approach for Confined Rules

Osmar R. Zaïane, Maria-Luiza Antonie, 2004, PKDD.

Comparing Classifiers in Historical Census Linkage

Gary William Grewal, Shawki Areibi, Maria-Luiza Antonie, 2014, 2014 IEEE International Conference on Data Mining Workshop.

Classifying microarray data with association rules

Maria-Luiza Antonie, Kyrylo Bessonov, K. Bessonov, 2011, SAC.

Redundancy reduction: does it help associative classifiers?

Osmar R. Zaïane, Robert C. Holte, Maria-Luiza Antonie, 2016, SAC.

Bias Evaluation of Professors' Reviews

Gary William Grewal, Maria-Luiza Antonie, Miana Plesca, 2018, 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA).

Associative Classifiers for Medical Images

Osmar R. Zaïane, Alexandru Coman, Maria-Luiza Antonie, 2002, Revised Papers from MDM/KDD and PAKDD/KDMCD.