Nathalie Japkowicz | |
|---|---|
| Alma mater |
McGill University University of Toronto Rutgers University |
| 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 |
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. [1] She completed a Ph.D. at Rutgers University in 1999. [1] 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. [2]
Japkowicz worked at the University of Ottawa in the school of electrical engineering and computer science. [1] She was the lead of its laboratory for research on machine learning for defense security. [1] 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. [1] 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. S2CID 27083226.
- 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.
See also
References
- ^ a b c d e f "Professor and Department Chair, Computer Science". American University. Retrieved 2023-04-29.
- ^ a b Japkowicz, Nathalie (1999). Concept-learning in the absence of counter-examples: an autoassociation-based approach to classification (Ph.D. thesis). Rutgers University. OCLC 78440062.
- ^ a b "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.
| International | |
|---|---|
| National | |
| Academics | |
| Other | |
- Living people
- McGill University alumni
- University of Toronto alumni
- Rutgers University alumni
- Academic staff of the University of Ottawa
- American University faculty
- Canadian women computer scientists
- Machine learning researchers
- 21st-century Canadian women scientists
- Canadian expatriate academics in the United States
- Canadian emigrants to the United States
Nathalie Japkowicz | |
|---|---|
| Alma mater |
McGill University University of Toronto Rutgers University |
| 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 |
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. [1] She completed a Ph.D. at Rutgers University in 1999. [1] 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. [2]
Japkowicz worked at the University of Ottawa in the school of electrical engineering and computer science. [1] She was the lead of its laboratory for research on machine learning for defense security. [1] 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. [1] 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. S2CID 27083226.
- 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.
See also
References
- ^ a b c d e f "Professor and Department Chair, Computer Science". American University. Retrieved 2023-04-29.
- ^ a b Japkowicz, Nathalie (1999). Concept-learning in the absence of counter-examples: an autoassociation-based approach to classification (Ph.D. thesis). Rutgers University. OCLC 78440062.
- ^ a b "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.
| International | |
|---|---|
| National | |
| Academics | |
| Other | |
- Living people
- McGill University alumni
- University of Toronto alumni
- Rutgers University alumni
- Academic staff of the University of Ottawa
- American University faculty
- Canadian women computer scientists
- Machine learning researchers
- 21st-century Canadian women scientists
- Canadian expatriate academics in the United States
- Canadian emigrants to the United States