Fuzzy support vector machine for imbalanced data with borderline noise

被引：0
|
作者：
Liu, Jie [1 ]
机构：
[1] School of Reliability and Systems Engineering in Beihang University, 37 Xueyuan Road, Haidian, Beijing, China
来源：
Fuzzy Sets and Systems | 2021年 / 413卷
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：64 / 73
相关论文
共 50 条
  • [1] Fuzzy support vector machine for imbalanced data with borderline noise
    Liu, Jie
    FUZZY SETS AND SYSTEMS, 2021, 413 : 64 - 73
  • [2] Fuzzy Support Vector Machine for Microarray Imbalanced Data Classification
    Ladayya, Faroh
    Purnami, Santi Wulan
    Irhamah
    13TH IMT-GT INTERNATIONAL CONFERENCE ON MATHEMATICS, STATISTICS AND THEIR APPLICATIONS (ICMSA2017), 2017, 1905
  • [3] Dense fuzzy support vector machine to binary classification for imbalanced data
    Wang, Qingling
    Zheng, Jian
    Zhang, Wenjing
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2023, 45 (06) : 9643 - 9653
  • [4] Instance-based entropy fuzzy support vector machine for imbalanced data
    Poongjin Cho
    Minhyuk Lee
    Woojin Chang
    Pattern Analysis and Applications, 2020, 23 : 1183 - 1202
  • [5] Instance-based entropy fuzzy support vector machine for imbalanced data
    Cho, Poongjin
    Lee, Minhyuk
    Chang, Woojin
    PATTERN ANALYSIS AND APPLICATIONS, 2020, 23 (03) : 1183 - 1202
  • [6] Fuzzy Support Vector Machine With Relative Density Information for Classifying Imbalanced Data
    Yu, Hualong
    Sun, Changyin
    Yang, Xibei
    Zheng, Shang
    Zou, Haitao
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2019, 27 (12) : 2353 - 2367
  • [7] Least squares fuzzy one-class support vector machine for imbalanced data
    Zhang, Jingjing
    Wang, Kuaini
    Zhu, Wenxin
    Zhong, Ping
    International Journal of Signal Processing, Image Processing and Pattern Recognition, 2015, 8 (08) : 299 - 308
  • [8] Imbalanced Data Classification using Complementary Fuzzy Support Vector Machine Techniques and SMOTE
    Pruengkarn, Ratchakoon
    Wong, Kok Wai
    Fung, Chun Che
    2017 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2017, : 978 - 983
  • [9] Affective detection based on an imbalanced fuzzy support vector machine
    Cheng, Jing
    Liu, Guang-Yuan
    BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2015, 18 : 118 - 126
  • [10] Fuzzy support vector machine with graph for classifying imbalanced datasets
    Chen, Baihua
    Fan, Yuling
    Lan, Weiyao
    Liu, Jinghua
    Cao, Chao
    Gao, Yunlong
    NEUROCOMPUTING, 2022, 514 : 296 - 312
12345