Nathalie Japkowicz Ph.D. Associate Professor

Events Research Interests Teaching Miscellaneous How to reach me

Events:

New Software available for Download

A new visualization software for classifier evaluation is available for download HERE

Research Interests:

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

Publications

Open Projects

Research Students

Teaching:

Winter 2009:

• ITI 1521: Introduction à l'informatique II, Hiver 2009
  
• CSI 5387: Concept Learning Systems / Machine Learning , Winter 2009
  

Fall 2008:

• CSI 3520: Concepts des Languages de Programmation , Automne 2008
  
• CSI 4506: Introduction a l'Intelligence Artificielle , Automne 2008
  

Previously:

• CSI4106: Introduction to Artificial Intelligence , Winter, 2008
  
• CSI5388: Topics in Machine Learning: Performance Evaluation for Classification , Winter, 2008
  
• CSI 3120: Concepts of Programming Languages , Fall 2007
  
• CSI 3520: Concepts des Languages de Programmation , Automne 2007
  
• CSI 2531: Gestion de Fichiers , Hiver 2006
  
• CSI 5387: Concept Learning Systems / Machine Learning , Winter 2006
  
• CSI 3525: Concepts des Languages de Programmation , Automne 2005
  
• CSI 4506: Introduction a l'Intelligence Artificielle , Automne 2005
  
• CSI 5388: Topics in Machine Learning , Winter 2005
  
• CSI 2531: Gestion de Fichiers , Winter 2005
  
• CSI 3525: Concepts des Languages de Programmation , Automne 2004
  (Concepts of Programming Languages)
• CSI 4506: Introduction a l'Intelligence Artificielle , Automne 2004
  
• CSI 4506: Introduction a l'Intelligence Artificielle , Hiver 2004
  
• CSI 5388: Topics in Machine Learning , Winter 2004
  
• CSI 3525: Concepts des Languages de Programmation , Fall 2003
  (Concepts of Programming Languages)
• CSI 5180: Topics in Artificial Intelligence: Natural Language Processing, a Statistical Approach , Fall 2003
  
• CSI 2531: Gestion de Fichiers , Spring 2002
  (File Management)
• CSI 5387: Concept Learning Systems / Machine Learning , Fall 2001
  
• CSI 3525: Concepts des Languages de Programmation , Fall 2001
  (Concepts of Programming Languages)
• CSI 2531: Gestion de Fichiers , Spring 2001
  (File Management)
• CSI 3525: Concepts des Languages de Programmation , Fall 2000
  (Concepts of Programming Languages)
• Natural Language Processing , Dalhousie University, Spring 2000
  ==> Abstracts of Students' Final Presentations
• Data and File Structures , Dalhousie University, Spring 2000.
• Machine Learning , Dalhousie University, Fall 1999
  ==> Student's Final Projects
• Survey of Artificial Intelligence I: Basic Techniques , Ohio State University, Winter 1999, Spring 1999.

Miscellaneous:

• Education
• AAAI'2006 Workshop on Evaluation Methods for Machine Learning
• SIGKDD Explorations Special Issue on Learning from Imbalanced Data Sets
• ICML'2003 Workshop on Learning from Imbalanced Data Sets II
• AAAI'2000 Workshop on Learning from Imbalanced Data Sets I
• NIPS'97 Workshop on Autoencoders/Autoassociators
• Bibliography for Learning from Imbalanced Data Sets
• Dissertation Abstract

Nathalie Japkowicz
School of Information Technology and Engineering (SITE), University of Ottawa
800 King Edward Ave.
Ottawa, Ontario, Canada, K1N 6N5
Tel: (613) 562-5800 ext. 6693, Fax: (613) 562-5187
Office: SITE Building, Room 5-029
Email: nat@site.uottawa.ca

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