Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Rui Ying Goh"'
Autor:
Rachel Yanlin Chen, Rui Ying Goh, Hoi Ting Leung, Stephanie Cheng, Veronique Kiak Mien Tan, Clement Luck Khng Chia, Jerry Tiong Thye Goo, Marc Weijie Ong
Publikováno v:
European Journal of Breast Health, Vol 18, Iss 3, Pp 252-257 (2022)
Objective:Patients with breast cancer who have indeterminate extra-mammary lesions, for example in lung, liver or bone, without other metastatic lesions pose a clinical dilemma regarding subsequent management. This study aimed to investigate the prev
Externí odkaz:
https://doaj.org/article/c7b5d3509c76484c8bb5aab25d50a5ac
Publikováno v:
Entropy, Vol 22, Iss 9, p 989 (2020)
Credit scoring is an important tool used by financial institutions to correctly identify defaulters and non-defaulters. Support Vector Machines (SVM) and Random Forest (RF) are the Artificial Intelligence techniques that have been attracting interest
Externí odkaz:
https://doaj.org/article/61b541106c41463f9fffd21067fc67e6
Autor:
Chen, Rachel Yanlin1, Rui Ying Goh1, Hoi Ting Leung1, Cheng, Stephanie2, Kiak Mien Tan, Veronique2, Khng Chia, Clement Luck1, Tiong Thye Goo, Jerry1, Weijie Ong, Marc1 ong.marc.wj@ktph.com.sg
Publikováno v:
European Journal of Breast Health. Jul2022, Vol. 18 Issue 3, p252-257. 6p.
Publikováno v:
2022 IEEE Symposium on Computational Intelligence for Financial Engineering and Economics (CIFEr).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ac644882f52837992c1e4b1fabe8d4e
https://doi.org/10.1109/cifer52523.2022.9776206
https://doi.org/10.1109/cifer52523.2022.9776206
Publikováno v:
Entropy
Volume 22
Issue 9
Entropy, Vol 22, Iss 989, p 989 (2020)
Volume 22
Issue 9
Entropy, Vol 22, Iss 989, p 989 (2020)
Credit scoring is an important tool used by financial institutions to correctly identifydefaulters and non-defaulters. Support Vector Machines (SVM) and Random Forest (RF) are theArtificial Intelligence techniques that have been attracting interest d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f002f46b9ac7ca48c0cde9c4330d9519
http://europepmc.org/articles/PMC7597311
http://europepmc.org/articles/PMC7597311
Autor:
Lai Soon Lee, Rui Ying Goh
Publikováno v:
Advances in Operations Research, Vol 2019 (2019)
Development of credit scoring models is important for financial institutions to identify defaulters and nondefaulters when making credit granting decisions. In recent years, artificial intelligence (AI) techniques have shown successful performance in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::050e076abb76af862e7b15f88eddb67c
https://doaj.org/article/a342dc81bae9482dac6dbbef504e789d
https://doaj.org/article/a342dc81bae9482dac6dbbef504e789d