186 related articles for article (PubMed ID: 34767567)
1. An oversampling method for multi-class imbalanced data based on composite weights.
Deng M; Guo Y; Wang C; Wu F
PLoS One; 2021; 16(11):e0259227. PubMed ID: 34767567
[TBL] [Abstract][Full Text] [Related]
2. Distance Metric Based Oversampling Method for Bioinformatics and Performance Evaluation.
Tsai MF; Yu SS
J Med Syst; 2016 Jul; 40(7):159. PubMed ID: 27185255
[TBL] [Abstract][Full Text] [Related]
3. Adaptive swarm cluster-based dynamic multi-objective synthetic minority oversampling technique algorithm for tackling binary imbalanced datasets in biomedical data classification.
Li J; Fong S; Sung Y; Cho K; Wong R; Wong KKL
BioData Min; 2016; 9():37. PubMed ID: 27980678
[TBL] [Abstract][Full Text] [Related]
4. CURE-SMOTE algorithm and hybrid algorithm for feature selection and parameter optimization based on random forests.
Ma L; Fan S
BMC Bioinformatics; 2017 Mar; 18(1):169. PubMed ID: 28292263
[TBL] [Abstract][Full Text] [Related]
5. A hybrid sampling algorithm combining M-SMOTE and ENN based on Random forest for medical imbalanced data.
Xu Z; Shen D; Nie T; Kou Y
J Biomed Inform; 2020 Jul; 107():103465. PubMed ID: 32512209
[TBL] [Abstract][Full Text] [Related]
6. RSMOTE: improving classification performance over imbalanced medical datasets.
Naseriparsa M; Al-Shammari A; Sheng M; Zhang Y; Zhou R
Health Inf Sci Syst; 2020 Dec; 8(1):22. PubMed ID: 32549976
[TBL] [Abstract][Full Text] [Related]
7. Outlier-SMOTE: A refined oversampling technique for improved detection of COVID-19.
Turlapati VPK; Prusty MR
Intell Based Med; 2020 Dec; 3():100023. PubMed ID: 33289013
[TBL] [Abstract][Full Text] [Related]
8. A Synthetic Minority Oversampling Technique Based on Gaussian Mixture Model Filtering for Imbalanced Data Classification.
Xu Z; Shen D; Kou Y; Nie T
IEEE Trans Neural Netw Learn Syst; 2024 Mar; 35(3):3740-3753. PubMed ID: 35984792
[TBL] [Abstract][Full Text] [Related]
9. A multiple combined method for rebalancing medical data with class imbalances.
Wang YC; Cheng CH
Comput Biol Med; 2021 Jul; 134():104527. PubMed ID: 34091384
[TBL] [Abstract][Full Text] [Related]
10. An efficient algorithm coupled with synthetic minority over-sampling technique to classify imbalanced PubChem BioAssay data.
Hao M; Wang Y; Bryant SH
Anal Chim Acta; 2014 Jan; 806():117-27. PubMed ID: 24331047
[TBL] [Abstract][Full Text] [Related]
11. A self-inspected adaptive SMOTE algorithm (SASMOTE) for highly imbalanced data classification in healthcare.
Kosolwattana T; Liu C; Hu R; Han S; Chen H; Lin Y
BioData Min; 2023 Apr; 16(1):15. PubMed ID: 37098549
[TBL] [Abstract][Full Text] [Related]
12. A cluster-based SMOTE both-sampling (CSBBoost) ensemble algorithm for classifying imbalanced data.
Salehi AR; Khedmati M
Sci Rep; 2024 Mar; 14(1):5152. PubMed ID: 38431701
[TBL] [Abstract][Full Text] [Related]
13. Evolutionary Mahalanobis Distance-Based Oversampling for Multi-Class Imbalanced Data Classification.
Yao L; Lin TB
Sensors (Basel); 2021 Oct; 21(19):. PubMed ID: 34640936
[TBL] [Abstract][Full Text] [Related]
14. SMOTE for high-dimensional class-imbalanced data.
Blagus R; Lusa L
BMC Bioinformatics; 2013 Mar; 14():106. PubMed ID: 23522326
[TBL] [Abstract][Full Text] [Related]
15. A comprehensive data level analysis for cancer diagnosis on imbalanced data.
Fotouhi S; Asadi S; Kattan MW
J Biomed Inform; 2019 Feb; 90():103089. PubMed ID: 30611011
[TBL] [Abstract][Full Text] [Related]
16. Immune centroids oversampling method for binary classification.
Ai X; Wu J; Sheng VS; Zhao P; Cui Z
Comput Intell Neurosci; 2015; 2015():109806. PubMed ID: 25834570
[TBL] [Abstract][Full Text] [Related]
17. A novel method for detecting credit card fraud problems.
Du H; Lv L; Wang H; Guo A
PLoS One; 2024; 19(3):e0294537. PubMed ID: 38446831
[TBL] [Abstract][Full Text] [Related]
18. Enhancing and improving the performance of imbalanced class data using novel GBO and SSG: A comparative analysis.
Ahsan MM; Ali MS; Siddique Z
Neural Netw; 2024 May; 173():106157. PubMed ID: 38335796
[TBL] [Abstract][Full Text] [Related]
19. Examining imbalanced classification algorithms in predicting real-time traffic crash risk.
Peng Y; Li C; Wang K; Gao Z; Yu R
Accid Anal Prev; 2020 Sep; 144():105610. PubMed ID: 32559659
[TBL] [Abstract][Full Text] [Related]
20. Comparing Sampling Strategies for Tackling Imbalanced Data in Human Activity Recognition.
Alharbi F; Ouarbya L; Ward JA
Sensors (Basel); 2022 Feb; 22(4):. PubMed ID: 35214275
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]