187 related articles for article (PubMed ID: 38052532)
21. Classifying adverse drug reactions from imbalanced twitter data.
Dai HJ; Wang CK
Int J Med Inform; 2019 Sep; 129():122-132. PubMed ID: 31445246
[TBL] [Abstract][Full Text] [Related]
22. Effect of machine learning re-sampling techniques for imbalanced datasets in
Xie C; Du R; Ho JW; Pang HH; Chiu KW; Lee EY; Vardhanabhuti V
Eur J Nucl Med Mol Imaging; 2020 Nov; 47(12):2826-2835. PubMed ID: 32253486
[TBL] [Abstract][Full Text] [Related]
23. Relative Density-Based Intuitionistic Fuzzy SVM for Class Imbalance Learning.
Fu C; Zhou S; Zhang D; Chen L
Entropy (Basel); 2022 Dec; 25(1):. PubMed ID: 36673175
[TBL] [Abstract][Full Text] [Related]
24. Prediction of human breast and colon cancers from imbalanced data using nearest neighbor and support vector machines.
Majid A; Ali S; Iqbal M; Kausar N
Comput Methods Programs Biomed; 2014 Mar; 113(3):792-808. PubMed ID: 24472367
[TBL] [Abstract][Full Text] [Related]
25. Imbalanced Protein Data Classification Using Ensemble FTM-SVM.
Hong-Liang Dai
IEEE Trans Nanobioscience; 2015 Jun; 14(4):350-359. PubMed ID: 25966480
[TBL] [Abstract][Full Text] [Related]
26. Post-boosting of classification boundary for imbalanced data using geometric mean.
Du J; Vong CM; Pun CM; Wong PK; Ip WF
Neural Netw; 2017 Dec; 96():101-114. PubMed ID: 28987974
[TBL] [Abstract][Full Text] [Related]
27. Prediction of diabetes disease using an ensemble of machine learning multi-classifier models.
Abnoosian K; Farnoosh R; Behzadi MH
BMC Bioinformatics; 2023 Sep; 24(1):337. PubMed ID: 37697283
[TBL] [Abstract][Full Text] [Related]
28. Machine learning algorithms, bull genetic information, and imbalanced datasets used in abortion incidence prediction models for Iranian Holstein dairy cattle.
Keshavarzi H; Sadeghi-Sefidmazgi A; Mirzaei A; Ravanifard R
Prev Vet Med; 2020 Feb; 175():104869. PubMed ID: 31896505
[TBL] [Abstract][Full Text] [Related]
29. Hybrid Feature Selection Framework for the Parkinson Imbalanced Dataset Prediction Problem.
Qasim HM; Ata O; Ansari MA; Alomary MN; Alghamdi S; Almehmadi M
Medicina (Kaunas); 2021 Nov; 57(11):. PubMed ID: 34833435
[No Abstract] [Full Text] [Related]
30. Transfer learning-based ensemble support vector machine model for automated COVID-19 detection using lung computerized tomography scan data.
Singh M; Bansal S; Ahuja S; Dubey RK; Panigrahi BK; Dey N
Med Biol Eng Comput; 2021 Apr; 59(4):825-839. PubMed ID: 33738639
[TBL] [Abstract][Full Text] [Related]
31. Vicinal support vector classifier using supervised kernel-based clustering.
Yang X; Cao A; Song Q; Schaefer G; Su Y
Artif Intell Med; 2014 Mar; 60(3):189-96. PubMed ID: 24637294
[TBL] [Abstract][Full Text] [Related]
32. Comparison of Resampling Techniques for Imbalanced Datasets in Machine Learning: Application to Epileptogenic Zone Localization From Interictal Intracranial EEG Recordings in Patients With Focal Epilepsy.
Varotto G; Susi G; Tassi L; Gozzo F; Franceschetti S; Panzica F
Front Neuroinform; 2021; 15():715421. PubMed ID: 34867255
[No Abstract] [Full Text] [Related]
33. Ensemble of Rotation Trees for Imbalanced Medical Datasets.
Guo H; Liu H; Wu CA; Liu W; She W
J Healthc Eng; 2018; 2018():8902981. PubMed ID: 29850005
[TBL] [Abstract][Full Text] [Related]
34. A Noise-Filtered Under-Sampling Scheme for Imbalanced Classification.
Kang Q; Chen X; Li S; Zhou M
IEEE Trans Cybern; 2017 Dec; 47(12):4263-4274. PubMed ID: 28113413
[TBL] [Abstract][Full Text] [Related]
35. Combining handcrafted features with latent variables in machine learning for prediction of radiation-induced lung damage.
Cui S; Luo Y; Tseng HH; Ten Haken RK; El Naqa I
Med Phys; 2019 May; 46(5):2497-2511. PubMed ID: 30891794
[TBL] [Abstract][Full Text] [Related]
36. Detecting representative data and generating synthetic samples to improve learning accuracy with imbalanced data sets.
Li DC; Hu SC; Lin LS; Yeh CW
PLoS One; 2017; 12(8):e0181853. PubMed ID: 28771522
[TBL] [Abstract][Full Text] [Related]
37. SVM and SVM Ensembles in Breast Cancer Prediction.
Huang MW; Chen CW; Lin WC; Ke SW; Tsai CF
PLoS One; 2017; 12(1):e0161501. PubMed ID: 28060807
[TBL] [Abstract][Full Text] [Related]
38. Hierarchical multi-class SVM with ELM kernel for epileptic EEG signal classification.
Murugavel AS; Ramakrishnan S
Med Biol Eng Comput; 2016 Jan; 54(1):149-61. PubMed ID: 26296799
[TBL] [Abstract][Full Text] [Related]
39. Extreme Learning Machine Framework for Risk Stratification of Fatty Liver Disease Using Ultrasound Tissue Characterization.
Kuppili V; Biswas M; Sreekumar A; Suri HS; Saba L; Edla DR; Marinho RT; Sanches JM; Suri JS
J Med Syst; 2017 Aug; 41(10):152. PubMed ID: 28836045
[TBL] [Abstract][Full Text] [Related]
40. A Novel Extreme Learning Machine Classification Model for e-Nose Application Based on the Multiple Kernel Approach.
Jian Y; Huang D; Yan J; Lu K; Huang Y; Wen T; Zeng T; Zhong S; Xie Q
Sensors (Basel); 2017 Jun; 17(6):. PubMed ID: 28629202
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]