Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Faiza Bukhsh"'
Autor:
Patricia Inoue Nakagawa, Luís Ferreira Pires, João Luiz Rebelo Moreira, Luiz Olavo Bonino da Silva Santos, Faiza Bukhsh
Publikováno v:
Applied Sciences, Vol 11, Iss 22, p 10804 (2021)
Explainable Machine Learning comprises methods and techniques that enable users to better understand the machine learning functioning and results. This work proposes an ontology that represents explainable machine learning experiments, allowing data
Externí odkaz:
https://doaj.org/article/21fbc5b1d44846b3b8fe4a7daa3cd927
Publikováno v:
Proceedings of the 25th International Conference on Enterprise Information Systems.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9e41efedaf072c30b3dce1964c528fe
https://doi.org/10.5220/0011745200003467
https://doi.org/10.5220/0011745200003467
Publikováno v:
2022 International Conference on Frontiers of Information Technology (FIT), 302-307
STARTPAGE=302;ENDPAGE=307;TITLE=2022 International Conference on Frontiers of Information Technology (FIT)
STARTPAGE=302;ENDPAGE=307;TITLE=2022 International Conference on Frontiers of Information Technology (FIT)
Social media has found its way into education and, together with team formation, has started to play a significant role in students' university progress. Previous research has tried to generally analyze and give predictions about the influence of soc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::194c4439c4b17a5f32ac9627b3b9c37c
http://www.scopus.com/inward/record.url?scp=85149691137&partnerID=8YFLogxK
http://www.scopus.com/inward/record.url?scp=85149691137&partnerID=8YFLogxK
Publikováno v:
ISSUE=15;STARTPAGE=111;ENDPAGE=120;TITLE=15th International Workshop on Value Modelling and Business Ontologies, VMBO 2021
University of Twente Research Information (Pure Portal)
University of Twente Research Information (Pure Portal)
Metadata formation, maintenance, and interoperability are crucial for long-term, effective usage of valuable digital information across domains. Metadata interoperability especially triggers privacy concerns regarding personally identifiable informat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::735597084363932861bbc82262f0c900
https://research.utwente.nl/en/publications/62f16243-a893-4f73-a9ea-805989d2367e
https://research.utwente.nl/en/publications/62f16243-a893-4f73-a9ea-805989d2367e
Autor:
Luiz Olavo Bonino da Silva Santos, Luis Ferreira Pires, Faiza Bukhsh, João Luiz Rebelo Moreira, Patricia Inoue Nakagawa
Publikováno v:
Applied Sciences
Volume 11
Issue 22
Applied Sciences, Vol 11, Iss 10804, p 10804 (2021)
Applied Sciences, 11(22):10804. Politechnica University of Bucharest
Volume 11
Issue 22
Applied Sciences, Vol 11, Iss 10804, p 10804 (2021)
Applied Sciences, 11(22):10804. Politechnica University of Bucharest
Explainable Machine Learning comprises methods and techniques that enable users to better understand the machine learning functioning and results. This work proposes an ontology that represents explainable machine learning experiments, allowing data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::719dfc9d8e811afbc0651023572759aa
https://doi.org/10.3390/app112210804
https://doi.org/10.3390/app112210804
Publikováno v:
University of Twente Research Information (Pure Portal)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3a4ea067b1c9126ff6aa52a296592356
https://research.utwente.nl/en/publications/94ad3b24-e0fa-42c0-8e68-bcabee04591d
https://research.utwente.nl/en/publications/94ad3b24-e0fa-42c0-8e68-bcabee04591d