Nathalie Japkowicz
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.
Nathalie Japkowicz | |
|---|---|
| Alma mater | McGill University University of Toronto Rutgers University |
| Spouse | Norrin M. Ripsman |
| Scientific career | |
| Fields | Machine learning, big data |
| Institutions | University of Ottawa American University College of Arts and Sciences |
| Doctoral advisor | Stephen José Hanson, Casimir Alexander Kulikowski |
Life
Japkowicz was born to Michel and Suzanne Japkowicz.[1] She completed a B.Sc. at McGill University in 1988.[2] She earned an M.Sc. from the University of Toronto in 1990.[2] She completed a Ph.D. at Rutgers University in 1999.[2] Her dissertation was titled Concept-learning in the absence of counter-examples: an autoassociation-based approach to classification.[1] Andrew Gelsey was her interim doctoral advisor from January to August 1995.[1] Stephen José Hanson and Casimir Alexander Kulikowski were her doctoral advisors.[1] Japkowicz dedicated her dissertation to her parents and husband, Norrin M. Ripsman.[1]
Japkowicz worked at the University of Ottawa in the school of electrical engineering and computer science.[2] She was the lead of its laboratory for research on machine learning for defense security.[2] 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.[3][4]
Japkowicz is a professor and department chair of computer science at the American University College of Arts and Sciences.[2] She researches artificial intelligence, machine learning, data mining, and big data analysis.[5]
Selected works
- Gao, Yong; Japkowicz, Nathalie, eds. (2009). Advances in Artificial Intelligence: 22nd Canadian Conference on Artificial Intelligence, Canadian AI 2009 Kelowna, Canada, May 25–27, 2009 Proceedings. Lecture Notes in Computer Science. Vol. 5549. Berlin, Heidelberg: Springer Berlin Heidelberg. doi:10.1007/978-3-642-01818-3. ISBN 978-3-642-01817-6.
- Japkowicz, Nathalie; Shah, Mohak (2011). Evaluating Learning Algorithms: A Classification Perspective (1 ed.). Cambridge University Press. doi:10.1017/cbo9780511921803. ISBN 978-0-511-92180-3.[6]
- Japkowicz, Nathalie; Matwin, Stan, eds. (2015). Discovery Science: 18th International Conference, DS 2015, Banff, AB, Canada, October 4–6, 2015. Proceedings. Lecture Notes in Computer Science. Vol. 9356. Cham: Springer International Publishing. doi:10.1007/978-3-319-24282-8. ISBN 978-3-319-24281-1. S2CID 1302223.
- Japkowicz, Nathalie; Stefanowski, Jerzy, eds. (2016). Big Data Analysis: New Algorithms for a New Society. Studies in Big Data. Vol. 16. Cham: Springer International Publishing. doi:10.1007/978-3-319-26989-4. ISBN 978-3-319-26987-0.
- Ceci, Michelangelo; Japkowicz, Nathalie; Liu, Jiming; Papadopoulos, George A.; Raś, Zbigniew W., eds. (2018). Foundations of Intelligent Systems: 24th International Symposium, ISMIS 2018, Limassol, Cyprus, October 29–31, 2018, Proceedings. Lecture Notes in Computer Science. Vol. 11177. Cham: Springer International Publishing. doi:10.1007/978-3-030-01851-1. ISBN 978-3-030-01850-4. S2CID 53038780.
References
- Japkowicz, Nathalie (1999). Concept-learning in the absence of counter-examples: an autoassociation-based approach to classification (Ph.D. thesis). Rutgers University. OCLC 78440062.
- "Professor and Department Chair, Computer Science". American University. Retrieved 2023-04-29.
- "Dr. Nathalie Japkowicz | CAIAC". www.caiac.ca. Retrieved 2023-04-29.
- "Homepage of Nathalie Japkowicz". www.site.uottawa.ca. Retrieved 2023-04-29.
- "Homepage of Nathalie Japkowicz". fs2.american.edu. Retrieved 2023-04-29.
- Ghosh, Subir (2013). "Review of Evaluating Learning Algorithms: A Classification Perspective". Technometrics. 55 (2): 252–253. ISSN 0040-1706. JSTOR 24587142.