Reid A. Johnson, Troy Raeder, Nitesh V. Chawla. Optimizing Classifiers for Hypothetical Scenarios. In Tru Cao, Ee-Peng Lim, Zhi-Hua Zhou, Tu Bao Ho, David Cheung, Hiroshi Motoda, editors, Advances in Knowledge Discovery and Data Mining - 19th Pacific-Asia Conference, PAKDD 2015, Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings, Part I. Volume 9077 of Lecture Notes in Computer Science, pages 264-276, Springer, 2015. [doi]
@inproceedings{JohnsonRC15,
title = {Optimizing Classifiers for Hypothetical Scenarios},
author = {Reid A. Johnson and Troy Raeder and Nitesh V. Chawla},
year = {2015},
doi = {10.1007/978-3-319-18038-0_21},
url = {http://dx.doi.org/10.1007/978-3-319-18038-0_21},
researchr = {https://researchr.org/publication/JohnsonRC15},
cites = {0},
citedby = {0},
pages = {264-276},
booktitle = {Advances in Knowledge Discovery and Data Mining - 19th Pacific-Asia Conference, PAKDD 2015, Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings, Part I},
editor = {Tru Cao and Ee-Peng Lim and Zhi-Hua Zhou and Tu Bao Ho and David Cheung and Hiroshi Motoda},
volume = {9077},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-319-18037-3},
}