Husain, G.;                     Nasef, D.;                     Jose, R.;                     Mayer, J.;                     Bekbolatova, M.;                     Devine, T.;                     Toma, M.    
        SMOTE vs. SMOTEENN: A Study on the Performance of Resampling Algorithms for Addressing Class Imbalance in Regression Models. Algorithms 2025, 18, 37.
    https://doi.org/10.3390/a18010037
    AMA Style
    
                                Husain G,                                 Nasef D,                                 Jose R,                                 Mayer J,                                 Bekbolatova M,                                 Devine T,                                 Toma M.        
                SMOTE vs. SMOTEENN: A Study on the Performance of Resampling Algorithms for Addressing Class Imbalance in Regression Models. Algorithms. 2025; 18(1):37.
        https://doi.org/10.3390/a18010037
    
    Chicago/Turabian Style
    
                                Husain, Gazi,                                 Daniel Nasef,                                 Rejath Jose,                                 Jonathan Mayer,                                 Molly Bekbolatova,                                 Timothy Devine,                                 and Milan Toma.        
                2025. "SMOTE vs. SMOTEENN: A Study on the Performance of Resampling Algorithms for Addressing Class Imbalance in Regression Models" Algorithms 18, no. 1: 37.
        https://doi.org/10.3390/a18010037
    
    APA Style
    
                                Husain, G.,                                 Nasef, D.,                                 Jose, R.,                                 Mayer, J.,                                 Bekbolatova, M.,                                 Devine, T.,                                 & Toma, M.        
        
        (2025). SMOTE vs. SMOTEENN: A Study on the Performance of Resampling Algorithms for Addressing Class Imbalance in Regression Models. Algorithms, 18(1), 37.
        https://doi.org/10.3390/a18010037