PyKale: Knowledge-Aware Machine Learning from Multiple Sources in Python.
Haiping Lu|Xianyuan Liu|Shuo Zhou|Robert Turner|Peizhen Bai|Raivo E. Koot|Mustafa Chasmai|Lawrence Schobs|Hao Xu
| Anthology ID: | DBLP:conf/cikm/LuLZTBKCSX22 |
|---|---|
| Volume: | Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022 |
| Year: | 2022 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 4274-4278 |
| URL: | https://doi.org/10.1145/3511808.3557676 |
| DOI: | https://doi.org/10.1145/3511808.3557676 |
| DBLP: | conf/cikm/LuLZTBKCSX22 |
| BibTeX: |
@inproceedings{lu-2022-pykale,
author = {Haiping Lu and
Xianyuan Liu and
Shuo Zhou and
Robert Turner and
Peizhen Bai and
Raivo E. Koot and
Mustafa Chasmai and
Lawrence Schobs and
Hao Xu},
editor = {Mohammad Al Hasan and
Li Xiong},
title = {{PyKale: Knowledge-Aware Machine Learning from Multiple Sources in Python}},
booktitle = {{Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022}},
pages = {4274--4278},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3511808.3557676},
doi = {https://doi.org/10.1145/3511808.3557676}
}