Leveraging Scalable Profiling to Learn and Visualize the Latest Trustworthy COVID-19 Medical Research Findings.
Michael N. Gubanov|Sophie Pavia|Anna Pyayt|William Goble
| Anthology ID: | DBLP:conf/cikm/GubanovPPG22 |
|---|---|
| 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: | 4857-4861 |
| URL: | https://doi.org/10.1145/3511808.3557171 |
| DOI: | https://doi.org/10.1145/3511808.3557171 |
| DBLP: | conf/cikm/GubanovPPG22 |
| BibTeX: |
@inproceedings{gubanov-2022-leveraging,
author = {Michael N. Gubanov and
Sophie Pavia and
Anna Pyayt and
William Goble},
editor = {Mohammad Al Hasan and
Li Xiong},
title = {{Leveraging Scalable Profiling to Learn and Visualize the Latest Trustworthy COVID-19 Medical Research Findings}},
booktitle = {{Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022}},
pages = {4857--4861},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3511808.3557171},
doi = {https://doi.org/10.1145/3511808.3557171}
}