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} }