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Homogeneous and heterogeneous ensemble classification methods in diabetes disease: a review., , , , and . EMBC, page 3956-3959. IEEE, (2019)Software effort estimation using classical analogy ensembles based on random subspace., and . SAC, page 1251-1258. ACM, (2017)Improved Effort Estimation of Heterogeneous Ensembles using Filter Feature Selection., , and . ICSOFT, page 439-446. SciTePress, (2018)Analogy Software Effort Estimation Using Ensemble KNN Imputation., , , and . SEAA, page 228-235. IEEE, (2019)Using ensemble classification methods in lung cancer disease., , , , and . EMBC, page 1367-1370. IEEE, (2019)Impact of Parameter Tuning on Machine Learning Based Breast Cancer Classification., , , , and . WorldCIST (3), volume 932 of Advances in Intelligent Systems and Computing, page 115-125. Springer, (2019)Software Development Effort Estimation Using Feature Selection Techniques., and . SoMeT, volume 303 of Frontiers in Artificial Intelligence and Applications, page 439-452. IOS Press, (2018)Impact of Threshold Values for Filter-based Univariate Feature Selection in Heart Disease Classification., , and . HEALTHINF, page 391-398. SCITEPRESS, (2020)Ensemble Feature Selection for Heart Disease Classification., , and . HEALTHINF, page 369-376. SCITEPRESS, (2022)Systematic Mapping Study of Ensemble Effort Estimation., , and . ENASE, page 132-139. SciTePress, (2016)