Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Ahmed Abdeen Hamed"'
Autor:
Ahmed Abdeen Hamed, Xindong Wu
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Generative AI tools exemplified by ChatGPT are becoming a new reality. This study is motivated by the premise that “AI generated content may exhibit a distinctive behavior that can be separated from scientific articles”. In this study, w
Externí odkaz:
https://doaj.org/article/eae0f973ce6b4ff288cadf9afe296e7b
Publikováno v:
iScience, Vol 27, Iss 2, Pp 108782- (2024)
Summary: As the influence of transformer-based approaches in general and generative artificial intelligence (AI) in particular continues to expand across various domains, concerns regarding authenticity and explainability are on the rise. Here, we sh
Externí odkaz:
https://doaj.org/article/d79dd7f6cc984b86b8033ec90349ff21
Publikováno v:
Pharmaceutics, Vol 14, Iss 3, p 567 (2022)
Background: With the Coronavirus becoming a new reality of our world, global efforts continue to seek answers to many questions regarding the spread, variants, vaccinations, and medications. Particularly, with the emergence of several strains (e.g.,
Externí odkaz:
https://doaj.org/article/f62ff4e422d04c15b265fb71413e9583
Publikováno v:
Applied Sciences, Vol 11, Iss 16, p 7265 (2021)
The spread of the Coronavirus pandemic has been accompanied by an infodemic. The false information that is embedded in the infodemic affects people’s ability to have access to safety information and follow proper procedures to mitigate the risks. T
Externí odkaz:
https://doaj.org/article/2f3efca3dec84a72b9663106d87295f1
Autor:
Ahmed Abdeen Hamed, Xindong Wu
ChatGPT is becoming a new reality. In this paper, we show how to distinguish ChatGPT-generated publications from counterparts produced by scientists. Using a newly designed supervised Machine Learning algorithm, we demonstrate how to detect machine-g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0fd0731d2d466d386a4e8571a022c90e
https://doi.org/10.21203/rs.3.rs-2851222/v1
https://doi.org/10.21203/rs.3.rs-2851222/v1
Publikováno v:
International Journal of Web Information Systems, 2015, Vol. 11, Issue 4, pp. 527-544.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJWIS-08-2015-0025
Autor:
Hamed Nassar, Ahmed Abdeen Hamed
Publikováno v:
Soft Computing. 25:15115-15130
Inconsistent heterogeneous information systems (IHISs) are predominant nowadays. In the meantime, feature selection (FS) for such systems represents a challenge, requiring more innovative research. In the present article, we introduce a novel FS algo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1ef4b1af9d824c842b05c97d98c6263
https://doi.org/10.1007/s00500-021-06375-z
https://doi.org/10.1007/s00500-021-06375-z
Mining Literature-Based Knowledge Graph for Predicting Combination Therapeutics: A COVID-19 Use Case
This paper presents a computational approach designed to construct and query a literature-based knowledge graph for predicting novel drug therapeutics. The main objective is to offer a platform that discovers drug combinations from FDA-approved drugs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77c564dfdb8f77455138c47f080ea8e7
https://doi.org/10.20944/preprints202208.0305.v1
https://doi.org/10.20944/preprints202208.0305.v1
Publikováno v:
Arabian Journal for Science and Engineering. 46:8261-8272
Great efforts are now underway to control the coronavirus 2019 disease (COVID-19). Millions of people are medically examined, and their data keep piling up awaiting classification. The data are typically both incomplete and heterogeneous which hamper
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24944c53e39109c64a2ad6c6e976df8f
https://doi.org/10.1007/s13369-020-05212-z
https://doi.org/10.1007/s13369-020-05212-z
Publikováno v:
Information Sciences. 547:427-449
The size of information gathered from real world applications today is staggering. To make matters worse, this information may also be incomplete, due to errors in measurement or lack of discipline. The two phenomena give rise to a big incomplete inf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1947f9d6f675abdea364ee273f7e02e3
https://doi.org/10.1016/j.ins.2020.08.049
https://doi.org/10.1016/j.ins.2020.08.049