Yao Ming, Panpan Xu, Huamin Qu, Liu Ren. Interpretable and Steerable Sequence Learning via Prototypes. In Ankur Teredesai, Vipin Kumar, Ying Li, Rómer Rosales, Evimaria Terzi, George Karypis, editors, Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2019, Anchorage, AK, USA, August 4-8, 2019. pages 903-913, ACM, 2019. [doi]
@inproceedings{MingXQR19,
title = {Interpretable and Steerable Sequence Learning via Prototypes},
author = {Yao Ming and Panpan Xu and Huamin Qu and Liu Ren},
year = {2019},
doi = {10.1145/3292500.3330908},
url = {https://doi.org/10.1145/3292500.3330908},
researchr = {https://researchr.org/publication/MingXQR19},
cites = {0},
citedby = {0},
pages = {903-913},
booktitle = {Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2019, Anchorage, AK, USA, August 4-8, 2019},
editor = {Ankur Teredesai and Vipin Kumar and Ying Li and Rómer Rosales and Evimaria Terzi and George Karypis},
publisher = {ACM},
isbn = {978-1-4503-6201-6},
}