類似資料

• Machine Learning and Synthetic Minority Oversampling Techniques for Imbalanced Data: Improving Machine Failure Prediction.
  著者:: Wah, Yap Bee, 等
  出版事項: (2023)
• Enhancing Accuracy Of Credit Scoring Classification With Imbalance Data Using Synthetic Minority Oversampling Technique-Support Vector Machine (SMOTE-SVM) Model
  著者:: Bingamawa, Muhammad Tosan
  出版事項: (2017)
• An extended oversampling method for imbalanced Quranic text classification based on a genetic algorithm
  著者:: Arkok, Bassam, 等
  出版事項: (2023)
• Improving Accuracy of Imbalanced Clinical Data Classification Using Synthetic Minority Over-Sampling Technique
  著者:: Mumtazimah, Mohamad, 等
  出版事項: (2019)
• Improved adaptive semi-unsupervised weighted oversampling (IA-SUWO) using sparsity factor for imbalanced datasets
  著者:: Ali, Haseeb
  出版事項: (2019)