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APPLYING MACHINE LEARNING TECHNIQUES ON IMBALANCED DATASETS FOR EARLY PREDICTION OF HIGH SCHOOL STUDENT DROPOUT
Authors:
384
0
Vinh University Journal of Science
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:
2474_2020_UngDungKyThuatHocMayTrenDuLieuMatCanBangHoTroDuDoanSomKhaNangThoiHocCuaHocSinhTHPT.PDF
Publishing year:
2020
Discussed some programming skills to mitigate Website threats
CO-AUTHORSHIP RECOMMENDATION SYSTEMS
Improving ADABoost Algorithm with Weighted SVM for Imbalanced Data Classification
USING DEEP LEARNING TO SUPPORT DIAGNOSIS OF PNEUMONIA WITH X-RAY IMAGES
AN EFFECTIVE FUZZY MEMBERSHIP FUNCTION IN FSVM-CIL ALGORITHM FOR CO-AUTHORSHIP RECOMMENDATION PROBLEM
ON THE INFLUENCE OF FUZZIFICATION PARAMETERS IN FUZZY CLUSTERING ALGORITHM
An Improved AdaBoost Algorithm for Highly Imbalanced Datasets in the CoAuthorship Recommendation Problem
An improved fuzzy support vector machine algorithm for highly imbalanced datasets in the co-authorship recommendation problem
An adaptive fuzzy weight algorithm for the class imbalance learning problem