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Browse "Dept. of Industrial and Systems Engineering(산업및시스템공학과)" by Subject Class imbalance

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Showing results 1 to 6 of 6

1
Instance categorization by support vector machines to adjust weights in AdaBoost for imbalanced data classification

Lee, Wonji; Jun, Chi-Hyuck; Lee, Jong-Seok, INFORMATION SCIENCES, v.381, pp.92 - 103, 2017-03

2
Learning from class-imbalanced data using misclassification-focusing generative adversarial networks

Yun, Jaesub; Lee, Jong-Seok, EXPERT SYSTEMS WITH APPLICATIONS, v.240, 2024-04

3
Learning From Imbalanced Data Using Triplet Adversarial Samples

Yun, Jaesub; Lee, Jong-Seok, IEEE ACCESS, v.11, pp.31467 - 31478, 2023

4
Maximizing AUC to learn weighted naive Bayes for imbalanced data classification

Kim, Taeheung; Lee, Jong-Seok, EXPERT SYSTEMS WITH APPLICATIONS, v.217, 2023-05

5
Memory-Augmented Convolutional Neural Networks With Triplet Loss for Imbalanced Wafer Defect Pattern Classification

Hyun, Yunseung; Kim, Heeyoung, IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING, v.33, no.4, pp.622 - 634, 2020-11

6
PFSC: Parameter-free sphere classifier for imbalanced data classification

Park, Yeontark; Lee, Jong-Seok, EXPERT SYSTEMS WITH APPLICATIONS, v.249, 2024-09

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