Zobrazeno 1 - 10
of 144
pro vyhledávání: '"Vassilios Verykios"'
Autor:
Aikaterini Sakagianni, Christina Koufopoulou, Vassilios Verykios, Evangelos Loupelis, Dimitrios Kalles, Georgios Feretzakis
Publikováno v:
Caring is Sharing – Exploiting the Value in Data for Health and Innovation ISBN: 9781643683881
Since its emergence, the COVID-19 pandemic still poses a major global health threat. In this setting, a number of useful machine learning applications have been explored to assist clinical decision-making, predict the severity of disease and admissio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d13070f598e46044e3370b3554879d61
https://doi.org/10.3233/shti230200
https://doi.org/10.3233/shti230200
Publikováno v:
Proceedings of the 12th Hellenic Conference on Artificial Intelligence.
Publikováno v:
2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA).
Publikováno v:
International Conference on Computer Systems and Technologies 2022.
Publikováno v:
25th Pan-Hellenic Conference on Informatics.
Publikováno v:
Croatian Journal of Education : Hrvatski časopis za odgoj i obrazovanje
Volume 20
Issue Sp.Ed.3
Volume 20
Issue Sp.Ed.3
The purpose of the study is to indicate the importance of inclusive education. This study focuses on the need for student’s voice to be heard and consid¬ered during educa¬tional planning. By doing this, the study intends to detect which students
Autor:
Lalita Narupiyakul, Ricardo Baeza-Yates, DINO PEDRESCHI, Claudio Bettini, David Kotz, Fabrizio Silvestri, Barbara Poblete, Vassilios Verykios, Sushil Jajodia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04666604a94e47ba2a95d986e33b77b1
https://doi.org/10.1201/b10373
https://doi.org/10.1201/b10373
Autor:
Du, Kelvin1 (AUTHOR) zidong001@e.ntu.edu.sg, Xing, Frank2 (AUTHOR) xing@nus.edu.sg, Mao, Rui1 (AUTHOR) rui.mao@ntu.edu.sg, Cambria, Erik1 (AUTHOR) cambria@ntu.edu.sg
Publikováno v:
ACM Computing Surveys. Sep2024, Vol. 56 Issue 9, p1-42. 42p.
Cost-efficient prompt engineering for unsupervised entity resolution in the product matching domain.
Publikováno v:
Discover Artificial Intelligence; 8/16/2024, Vol. 4 Issue 1, p1-21, 21p
Publikováno v:
Scopus-Elsevier
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::13db24c24d141e7dfe6f408e409ccd1c
http://www.scopus.com/inward/record.url?eid=2-s2.0-84937428555&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-84937428555&partnerID=MN8TOARS