Nathalie Japkowicz Explained

Nathalie Japkowicz is a Canadian computer scientist specializing in machine learning. She is a professor and department chair of computer science at the American University College of Arts and Sciences.

Life

Nathalie Japkowicz completed a B.Sc. at McGill University in 1988.^[1] She earned an M.Sc. from the University of Toronto in 1990. She completed a Ph.D. at Rutgers University in 1999. Her dissertation was titled Concept-learning in the absence of counter-examples: an autoassociation-based approach to classification.^[2] Stephen José Hanson and Casimir Alexander Kulikowski were her doctoral advisors.

Japkowicz worked at the University of Ottawa in the school of electrical engineering and computer science. She was the lead of its laboratory for research on machine learning for defense security. From 2003 to 2005, Japkowicz was the secretary of the Canadian Artificial Intelligence Association (CAIAC).^[3] She was CAIAC vice president from 2009 to 2014 and president from 2013 to 2015, and part-president from 2015 to 2017.^[4]

Japkowicz is a professor and department chair of computer science at the American University College of Arts and Sciences. She researches artificial intelligence, machine learning, data mining, and big data analysis.^[5]

Selected works

• Book: Advances in Artificial Intelligence: 22nd Canadian Conference on Artificial Intelligence, Canadian AI 2009 Kelowna, Canada, May 25–27, 2009 Proceedings . 2009 . Springer Berlin Heidelberg . 978-3-642-01817-6 . Gao . Yong . Lecture Notes in Computer Science . 5549 . Berlin, Heidelberg . en . 10.1007/978-3-642-01818-3 . 27083226 . Japkowicz . Nathalie.
• Book: Japkowicz . Nathalie . Evaluating Learning Algorithms: A Classification Perspective . Shah . Mohak . 2011 . Cambridge University Press . 978-0-511-92180-3 . 1 . 10.1017/cbo9780511921803. ^[6]
• Book: Discovery Science: 18th International Conference, DS 2015, Banff, AB, Canada, October 4–6, 2015. Proceedings . 2015 . Springer International Publishing . 978-3-319-24281-1 . Japkowicz . Nathalie . Lecture Notes in Computer Science . 9356 . Cham . en . 10.1007/978-3-319-24282-8 . 1302223 . Matwin . Stan . Stan Matwin.
• Book: Big Data Analysis: New Algorithms for a New Society . 2016 . Springer International Publishing . 978-3-319-26987-0 . Japkowicz . Nathalie . Studies in Big Data . 16 . Cham . en . 10.1007/978-3-319-26989-4 . Stefanowski . Jerzy . Jerzy Stefanowski.
• Book: Foundations of Intelligent Systems: 24th International Symposium, ISMIS 2018, Limassol, Cyprus, October 29–31, 2018, Proceedings . 2018 . Springer International Publishing . 978-3-030-01850-4 . Ceci . Michelangelo . Michelangelo Ceci . Lecture Notes in Computer Science . 11177 . Cham . 10.1007/978-3-030-01851-1 . 53038780 . Japkowicz . Nathalie . Liu . Jiming . Jiming Liu . Papadopoulos . George A. . George Α. Papadopoulos . Raś . Zbigniew W. . Zbigniew W. Raś.

See also

• Autoencoder
• Citation graph
• One-class classification
• Women in computing in Canada

Notes and References

1. Web site: Professor and Department Chair, Computer Science . 2023-04-29 . American University . en.
2. Japkowicz . Nathalie . Concept-learning in the absence of counter-examples: an autoassociation-based approach to classification . 1999 . Ph.D. . Rutgers University . 78440062.
3. Web site: Dr. Nathalie Japkowicz CAIAC . 2023-04-29 . www.caiac.ca.
4. Web site: Homepage of Nathalie Japkowicz . 2023-04-29 . www.site.uottawa.ca.
5. Web site: Homepage of Nathalie Japkowicz . 2023-04-29 . fs2.american.edu.
6. Ghosh . Subir . 2013 . Review of Evaluating Learning Algorithms: A Classification Perspective . Technometrics . 55 . 2 . 252–253 . 0040-1706 . 24587142.