These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
149 related articles for article (PubMed ID: 35085094)
1. DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data. Dablain D; Krawczyk B; Chawla NV IEEE Trans Neural Netw Learn Syst; 2023 Sep; 34(9):6390-6404. PubMed ID: 35085094 [TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. 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]
5. A new imbalanced data oversampling method based on Bootstrap method and Wasserstein Generative Adversarial Network. Hou B; Chen G Math Biosci Eng; 2024 Feb; 21(3):4309-4327. PubMed ID: 38549329 [TBL] [Abstract][Full Text] [Related]
6. 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]
7. Classification of Imbalanced Data by Oversampling in Kernel Space of Support Vector Machines. Mathew J; Pang CK; Luo M; Leong WH IEEE Trans Neural Netw Learn Syst; 2018 Sep; 29(9):4065-4076. PubMed ID: 29028213 [TBL] [Abstract][Full Text] [Related]
8. SMOTE-DRNN: A Deep Learning Algorithm for Botnet Detection in the Internet-of-Things Networks. Popoola SI; Adebisi B; Ande R; Hammoudeh M; Anoh K; Atayero AA Sensors (Basel); 2021 Apr; 21(9):. PubMed ID: 33923151 [TBL] [Abstract][Full Text] [Related]
9. Synthetic minority oversampling of vital statistics data with generative adversarial networks. Koivu A; Sairanen M; Airola A; Pahikkala T J Am Med Inform Assoc; 2020 Nov; 27(11):1667-1674. PubMed ID: 32885818 [TBL] [Abstract][Full Text] [Related]
10. SASMOTE: A Self-Attention Oversampling Method for Imbalanced CSI Fingerprints in Indoor Positioning Systems. Liu A; Cheng L; Yu C Sensors (Basel); 2022 Jul; 22(15):. PubMed ID: 35957237 [TBL] [Abstract][Full Text] [Related]
11. 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]
12. Effective treatment of imbalanced datasets in health care using modified SMOTE coupled with stacked deep learning algorithms. Sowjanya AM; Mrudula O Appl Nanosci; 2023; 13(3):1829-1840. PubMed ID: 35132368 [TBL] [Abstract][Full Text] [Related]
13. Efficient treatment of outliers and class imbalance for diabetes prediction. Nnamoko N; Korkontzelos I Artif Intell Med; 2020 Apr; 104():101815. PubMed ID: 32498997 [TBL] [Abstract][Full Text] [Related]
14. 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]
15. A novel generative adversarial networks modelling for the class imbalance problem in high dimensional omics data. Cusworth S; Gkoutos GV; Acharjee A BMC Med Inform Decis Mak; 2024 Mar; 24(1):90. PubMed ID: 38549123 [TBL] [Abstract][Full Text] [Related]
16. Product Processing Quality Classification Model for Small-Sample and Imbalanced Data Environment. Liu F; Dai Y Comput Intell Neurosci; 2022; 2022():9024165. PubMed ID: 35371247 [TBL] [Abstract][Full Text] [Related]
17. 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]
18. S-WD-EEMD: A hybrid framework for imbalanced sEMG signal analysis in diagnosis of human knee abnormality. Vijayvargiya A; Sinha A; Gehlot N; Jena A; Kumar R; Moran K PLoS One; 2024; 19(5):e0301263. PubMed ID: 38820390 [TBL] [Abstract][Full Text] [Related]
19. STB: synthetic minority oversampling technique for tree-boosting models for imbalanced datasets of intrusion detection systems. Li LH; Ahmad R; Tanone R; Sharma AK PeerJ Comput Sci; 2023; 9():e1580. PubMed ID: 38077567 [TBL] [Abstract][Full Text] [Related]