Zobrazeno 1 - 4
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pro vyhledávání: '"Houssam Razouk"'
Publikováno v:
IEEE Access, Vol 11, Pp 127974-127986 (2023)
The Failure Mode Effect Analysis process (FMEA) is widely used in industry for risk assessment, as it effectively captures and documents domain-specific knowledge. This process is mainly concerned with causal domain knowledge. In practical applicatio
Externí odkaz:
https://doaj.org/article/b36cb1dd64394b6f87c07783cad62233
Autor:
Houssam Razouk, Roman Kern
Publikováno v:
Applied Sciences, Vol 12, Iss 4, p 1840 (2022)
Digitalization of causal domain knowledge is crucial. Especially since the inclusion of causal domain knowledge in the data analysis processes helps to avoid biased results. To extract such knowledge, the Failure Mode Effect Analysis (FMEA) documents
Externí odkaz:
https://doaj.org/article/27482d60845d45b4835eb510d6faaf3f
Publikováno v:
Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing.
Graph embedding methods have emerged as effective solutions for knowledge graph completion. However, such methods are typically tested on benchmark datasets such as Freebase, but show limited performance when applied on sparse knowledge graphs with o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef8629e068902fe55a284d019b061a20
https://doi.org/10.1145/3477314.3507031
https://doi.org/10.1145/3477314.3507031
Autor:
Houssam Razouk, Roman Kern
Publikováno v:
Applied Sciences
Applied Sciences; Volume 12; Issue 4; Pages: 1840
Applied Sciences; Volume 12; Issue 4; Pages: 1840
Digitalization of causal domain knowledge is crucial. Especially since the inclusion of causal domain knowledge in the data analysis processes helps to avoid biased results. To extract such knowledge, the Failure Mode Effect Analysis (FMEA) documents
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f1d0a75b251928efe659add39e50a6e