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8  Articles
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Most people with diabetes in the world are type 2. We can detect diabetes early to prevent things that are not desirable by checking sugar and insulin levels with the doctor. In addition to using this method, people with diabetes can also be grouped based... see more

Imbalanced dataset merupakan hal yang sering ditemukan secara alami dalam proses penambangan data. Kondisi ini sangat mempengaruhi keakuratan klasifikasi data seperti yang terjadi dalam klasifikasi komentar program Kampus Merdeka yang peneliti lakukan. Pe... see more

Classification of imbalanced data is an important issue. Many algorithms have been developed for classification, such as Back Propagation (BP) neural networks, decision tree, Bayesian networks etc., and have been used repeatedly in many fields. These algo... see more

Classification of imbalanced data is an important issue. Many algorithms have been developed for classification, such as Back Propagation (BP) neural networks, decision tree, Bayesian networks etc., and have been used repeatedly in many fields. These algo... see more

? ?????? ???????????? ?????????? ????????????????? ?????? ?? ????????? ??????????? ????????????? ?????????? ????????? ???????? ?? ?????????????????? ????????? ???????? ??? ?????? ?????? ?????????????? ????????????? ?????? ADASYN ? ??? ????. ?????? ???????... see more

Class imbalance is a condition where the amount of data in the minority class is smaller than that of the majority class. The impact of the class imbalance in the dataset is the occurrence of minority class misclassification, so it can affect classificati... see more

Guillain-Barré Syndrome (GBS) is a neurological disorder where the body’s immune system attacks the peripheral nervous system. This disease evolves rapidly and is the most frequent cause of paralysis of the body. There are four variants of GBS: Acute Infl... see more

Due to the high incidence of the lung cancer all over the world, computer-aided detection (CAD) systems play an important role in screening. Classification in CAD systems have to deal with highly imbalanced datasets composed by actual nodules and non-nodu... see more

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