Hao-En Sung, Cheng-Kuan Chen, Han Xiao 0002, Shou-de Lin. A Classification Model for Diverse and Noisy Labelers. In Jinho Kim, Kyuseok Shim, Longbing Cao, Jae-Gil Lee, Xuemin Lin, Yang-Sae Moon, editors, Advances in Knowledge Discovery and Data Mining - 21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017, Proceedings, Part I. Volume 10234 of Lecture Notes in Computer Science, pages 58-69, 2017. [doi]
@inproceedings{SungC0L17,
title = {A Classification Model for Diverse and Noisy Labelers},
author = {Hao-En Sung and Cheng-Kuan Chen and Han Xiao 0002 and Shou-de Lin},
year = {2017},
doi = {10.1007/978-3-319-57454-7_5},
url = {http://dx.doi.org/10.1007/978-3-319-57454-7_5},
researchr = {https://researchr.org/publication/SungC0L17},
cites = {0},
citedby = {0},
pages = {58-69},
booktitle = {Advances in Knowledge Discovery and Data Mining - 21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017, Proceedings, Part I},
editor = {Jinho Kim and Kyuseok Shim and Longbing Cao and Jae-Gil Lee and Xuemin Lin and Yang-Sae Moon},
volume = {10234},
series = {Lecture Notes in Computer Science},
isbn = {978-3-319-57454-7},
}