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Maria-Luiza Antonie
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- affiliation: University of Alberta, Edmonton, Canada
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2020 – today
- 2024
- [c22]Jérémy Foxcroft, Peter Christen, Luiza Antonie:
Class Ratio and Its Implications for Reproducibility and Performance in Record Linkage. PAKDD (1) 2024: 194-205 - 2021
- [c21]Jérémy Foxcroft, Tianle Chen, Kanchana Padmanabhan, Brian Keng, Luiza Antonie:
Product Matching Lessons and Recommendations from a Real World Application. Canadian AI 2021 - [e2]Luiza Antonie, Pooya Moradian Zadeh:
Proceedings of the 34th Canadian Conference on Artificial Intelligence, Canadian AI 2021, online, May 2021. Canadian Artificial Intelligence Association 2021 [contents] - 2020
- [e1]Irena Koprinska, Michael Kamp, Annalisa Appice, Corrado Loglisci, Luiza Antonie, Albrecht Zimmermann, Riccardo Guidotti, Özlem Özgöbek, Rita P. Ribeiro, Ricard Gavaldà, João Gama, Linara Adilova, Yamuna Krishnamurthy, Pedro M. Ferreira, Donato Malerba, Ibéria Medeiros, Michelangelo Ceci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras, Peter Christen, Eirini Ntoutsi, Erich Schubert, Arthur Zimek, Anna Monreale, Przemyslaw Biecek, Salvatore Rinzivillo, Benjamin Kille, Andreas Lommatzsch, Jon Atle Gulla:
ECML PKDD 2020 Workshops - Workshops of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2020): SoGood 2020, PDFL 2020, MLCS 2020, NFMCP 2020, DINA 2020, EDML 2020, XKDD 2020 and INRA 2020, Ghent, Belgium, September 14-18, 2020, Proceedings. Communications in Computer and Information Science 1323, Springer 2020, ISBN 978-3-030-65964-6 [contents]
2010 – 2019
- 2019
- [c20]Jérémy Foxcroft, Adrian d'Alessandro, Luiza Antonie:
Name2Vec: Personal Names Embeddings. Canadian AI 2019: 505-510 - 2018
- [j2]Mateen Shaikh, Paul D. McNicholas, Maria-Luiza Antonie, Thomas Brendan Murphy:
Standardizing interestingness measures for association rules. Stat. Anal. Data Min. 11(6): 282-295 (2018) - [c19]Luiza Antonie, Jérémy Foxcroft, Gary Gréwal, Nirmal Narayanan, Miana Plesca, Rosina Ramirez:
Bias Evaluation of Professors' Reviews. ICMLA 2018: 599-606 - [c18]Laura Gatto, Dar'ya Heyko, Miana Plesca, Luiza Antonie:
Gender Wage Gap in the University Sector: A Case Study of All Universities in Ontario, Canada. SocInfo (1) 2018: 242-256 - 2017
- [c17]Luiza Antonie, Gary Gréwal, Kris Inwood, Shada Zarti:
Automatic Household Identification for Historical Census Data. Canadian AI 2017: 227-232 - 2016
- [c16]Luiza Antonie, Harshavardhan Gadgil, Gary William Grewal, Kris Inwood:
Historical Data Integration a Study of WWI Canadian Soldiers. ICDM Workshops 2016: 186-193 - [c15]Luiza Antonie, Osmar R. Zaïane, Robert C. Holte:
Redundancy reduction: does it help associative classifiers? SAC 2016: 867-874 - 2015
- [c14]Luiza Antonie, Andrew D'Angelo, Gary Gréwal, Miana Plesca:
Analyzing the Gender Wage Gap in Ontario's Public Sector. ICMLA 2015: 465-470 - [p2]Luiza Antonie, Kris Inwood, J. Andrew Ross:
Dancing with Dirty Data: Problems in the Extraction of Life-Course Evidence from Historical Censuses. Population Reconstruction 2015: 217-241 - 2014
- [j1]Luiza Antonie, Kris Inwood, Daniel J. Lizotte, J. Andrew Ross:
Tracking people over time in 19th century Canada for longitudinal analysis. Mach. Learn. 95(1): 129-146 (2014) - [c13]Laura Richards, Luiza Antonie, Shawki Areibi, Gary William Grewal, Kris Inwood, J. Andrew Ross:
Comparing Classifiers in Historical Census Linkage. ICDM Workshops 2014: 1086-1094 - [p1]Luiza Antonie, Jundong Li, Osmar R. Zaïane:
Negative Association Rules. Frequent Pattern Mining 2014: 135-145 - 2013
- [i1]Mateen Shaikh, Paul David McNicholas, Maria-Luiza Antonie, Thomas Brendan Murphy:
Standardizing Interestingness Measures for Association Rules. CoRR abs/1308.3740 (2013) - 2011
- [c12]Luiza Antonie, Kyrylo Bessonov:
Classifying microarray data with association rules. SAC 2011: 94-99
2000 – 2009
- 2007
- [c11]Abhishek Srivastava, Osmar R. Zaïane, Maria-Luiza Antonie:
Feature Space Enrichment by Incorporation of Implicit Features for Effective Classification. IDEAS 2007: 141-148 - 2006
- [c10]Maria-Luiza Antonie, Osmar R. Zaïane, Robert C. Holte:
Learning to Use a Learned Model: A Two-Stage Approach to Classification. ICDM 2006: 33-42 - 2005
- [c9]Osmar R. Zaïane, Maria-Luiza Antonie:
On Pruning and Tuning Rules for Associative Classifiers. KES (3) 2005: 966-973 - [c8]Rafal Rak, Wojciech Stach, Osmar R. Zaïane, Maria-Luiza Antonie:
Considering Re-occurring Features in Associative Classifiers. PAKDD 2005: 240-248 - 2004
- [c7]Maria-Luiza Antonie, Osmar R. Zaïane:
An associative classifier based on positive and negative rules. DMKD 2004: 64-69 - [c6]Maria-Luiza Antonie, Osmar R. Zaïane:
Mining Positive and Negative Association Rules: An Approach for Confined Rules. PKDD 2004: 27-38 - 2002
- [c5]Osmar R. Zaïane, Maria-Luiza Antonie:
Classifying Text Documents by Associating Terms With Text Categories. Australasian Database Conference 2002 - [c4]Maria-Luiza Antonie, Osmar R. Zaïane:
Text Document Categorization by Term Association. ICDM 2002: 19-26 - [c3]Osmar R. Zaïane, Maria-Luiza Antonie, Alexandru Coman:
Mammography Classification By an Association Rule-based Classifier. MDM/KDD 2002: 62-69 - [c2]Maria-Luiza Antonie, Osmar R. Zaïane, Alexandru Coman:
Associative Classifiers for Medical Images. Revised Papers from MDM/KDD and PAKDD/KDMCD 2002: 68-83 - 2001
- [c1]Maria-Luiza Antonie, Osmar R. Zaïane, Alexandru Coman:
Application of Data Mining Techniques for Medical Image Classification. MDM/KDD 2001: 94-101
Coauthor Index
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