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Expert profile — Profil d'expert

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Nathalie Japkowicz
Champ d'expertise principal
Machine Learning for Defense and Security
Champ d'expertise secondaire
Machine Learning
Autres champs d'expertise
Data Mining
Note biographique
My research interests are in the area of Artificial Intelligence and, most specifically, Machine Learning and Data Mining. Here is a list of some of the main research projects I have been involved in, in recent years:
Evaluation Methods for Machine Learning (funded by NSERC)
Forthcoming book on the subject, with Dr. Mohak Shah.
A visualization framework for classifier evaluation, with Drs. Rocio Alaiz-Rodriguez and Peter Tischer.
A data generation framework for testing classifiers in a shifting environment, with Dr. Rocio Alaiz.
Event Characterization for Radioxenon Monitoring (funded by Health Canada)
with Mr. Guichong Li and Drs. trevor Stocki and Kurt Ungar.
Computer Virus Detection
Network Event Correlation (funded by Defense Research & Development Canada (DRDC))
with Mr. Reuben Smith and Drs. Maxwell Dondo and Peter Mason.
Learning from Imbalanced Data Sets (funded by NSERC)
with Mrs. Shaju Stephen, Benjamin Wang, Andrew Estabrook, Taeho Jo, R. Akbani and Dr. Stephen Kwek.
Learning in the Absence of Negative Examples (funded by U.S. Navy, R & D)
with Drs. Catherine Myers, Mark Gluck and Stephen Hanson.
Feature Selection
Soft Clustering
Text Classification
Natural Language Processing -- Machine Translation

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2013 AI Doctoral and MSC thesis awards


33e Conférence canadienne sur l'intelligence artificielle

12-15 mai 2020, Ottawa, Ontario



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