Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Intouch Kunakorntum"'
Publikováno v:
IEEE Access, Vol 8, Pp 114692-114704 (2020)
Handling an imbalanced class problem is a challenging task in real-world applications. This problem affects various prediction models that predict only the majority class and fail to identify the minority class because of the skewed data. The oversam
Externí odkaz:
https://doaj.org/article/55b12ea71fd0463cac109751eca16933
Publikováno v:
IEEE Access, Vol 8, Pp 114692-114704 (2020)
Handling an imbalanced class problem is a challenging task in real-world applications. This problem affects various prediction models that predict only the majority class and fail to identify the minority class because of the skewed data. The oversam
Autor:
Napassawan Pasuthip, Patipan Prasertsom, Atthavit Tulyathan, Intouch Kunakorntum, Kanyawee Pornsawangdee, Nontawit Cheewaruangroj
Publikováno v:
2020 1st International Conference on Big Data Analytics and Practices (IBDAP).
To promote the usage of a mobile application and its benefit offers, a benefit recommendation system was proposed, in which different models were combined to improve performance and robustness. First, high-potential users were identified with a class
Publikováno v:
iCAST
Liver cancer is challenging to diagnose in general. Moreover, liver cancer prediction can be hindered by skewed data between majority and minority classes, and missing values. Many existing prediction models do not address these two limitations that
Autor:
Phond Phunchongharn, Sakan Komolvatin, Sumet Amonyingcharoen, Intouch Kunakorntum, Supanuth Ongsuk, Woranich Hinthong
Publikováno v:
ICKII
From the observation in 2014, cancer was the number one cause of deaths in Thailand and has been continuously increased until present. Cholangiocarcinoma is the subset of liver cancer, which is one of the top five cancers founded in Thailand. To redu