Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Sagie Davidovich"'
Autor:
Sagie Davidovich, Tudor I. Oprea, Alex Zhavoronkov, John P. Overington, Jeremy M Levin, Thomas Clozel, Charles R. Cantor, Evelyne Bischof, Quentin Vanhaelen
Publikováno v:
Nature Biotechnology
Can traditional computational analysis and machine learning help compensate for inadequate peer review of drug-repurposing papers in the context of an infodemic?
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e19ebb458257775308942457e46c85b5
https://doi.org/10.1038/s41587-020-0686-x
https://doi.org/10.1038/s41587-020-0686-x
Autor:
Jeremy M, Levin, Tudor I, Oprea, Sagie, Davidovich, Thomas, Clozel, John P, Overington, Quentin, Vanhaelen, Charles R, Cantor, Evelyne, Bischof, Alex, Zhavoronkov
Publikováno v:
Nature biotechnology. 38(10)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::1dba1d62b2ca8074710282fe0731dba6
https://pubmed.ncbi.nlm.nih.gov/32929264
https://pubmed.ncbi.nlm.nih.gov/32929264
Given a current news event, we tackle the problem of generating plausible predictions of future events it might cause. We present a new methodology for modeling and predicting such future news events using machine learning and data mining techniques.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0fc2ec98efc48df6855290475c87043b
Publikováno v:
WWW
The problem we tackle in this work is, given a present news event, to generate a plausible future event that can be caused by the given event. We present a new methodology for modeling and predicting such future news events using machine learning and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4cc2ef7c3743fec32d0603aef43131c0
https://doi.org/10.1145/2187836.2187958
https://doi.org/10.1145/2187836.2187958
Publikováno v:
Web Intelligence
The novel task we aim at in this work is to predict top terms that will prominently appear in the future news. This is a difficult task that nobody attempted before, as far as we know. We present a novel methodology for using patterns of user queries
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26a3f53bbb5eadcb271474695a7e87be
https://doi.org/10.1109/wiiat.2008.215
https://doi.org/10.1109/wiiat.2008.215