Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Grossman, Maura"'
Autor:
Cormack, Gordon V, Grossman, Maura R
We demonstrate from first principles a core fallacy employed by a coterie of authors who claim that data from the Vaccine Adverse Reporting System (VAERS) show that hundreds of thousands of U.S. deaths are attributable to COVID vaccination.
Externí odkaz:
http://arxiv.org/abs/2202.04204
Autor:
Grossman, Maura R., Cormack, Gordon V.
The practice of bloodletting gradually fell into disfavor as a growing body of scientific evidence showed its ineffectiveness and demonstrated the effectiveness of various pharmaceuticals for the prevention and treatment of certain diseases. At the s
Externí odkaz:
http://arxiv.org/abs/2109.13908
We describe our participation in all five rounds of the TREC 2020 COVID Track (TREC-COVID). The goal of TREC-COVID is to contribute to the response to the COVID-19 pandemic by identifying answers to many pressing questions and building infrastructure
Externí odkaz:
http://arxiv.org/abs/2011.01453
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
This study uses a novel simulation framework to evaluate whether the time and effort necessary to achieve high recall using active learning is reduced by presenting the reviewer with isolated sentences, as opposed to full documents, for relevance fee
Externí odkaz:
http://arxiv.org/abs/1803.08988
Social media datasets, especially Twitter tweets, are popular in the field of text classification. Tweets are a valuable source of micro-text (sometimes referred to as "micro-blogs"), and have been studied in domains such as sentiment analysis, recom
Externí odkaz:
http://arxiv.org/abs/1708.08123
Publikováno v:
Duke Law & Technology Review. 2023/2024, Vol. 23 Issue 1, p1-34. 34p.
Autor:
Cormack, Gordon V., Grossman, Maura R.
We enhance the autonomy of the continuous active learning method shown by Cormack and Grossman (SIGIR 2014) to be effective for technology-assisted review, in which documents from a collection are retrieved and reviewed, using relevance feedback, unt
Externí odkaz:
http://arxiv.org/abs/1504.06868
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Patient photographs on Google Images: a commentary on informed consent, copyright, and privacy laws.
Publikováno v:
Law, Innovation & Technology; Dec2023, Vol. 15 Issue 2, p536-557, 22p