A novel reliability-based regression model to analyze and forecast the severity of COVID-19 patients. - Negar Bakhtiarvand; Mehdi Khashei; Mehdi Mahnam; Somayeh Hajiahmadi (BMC Medical Informatics Decis. Mak., 2022)

A discrete intelligent classification methodology. - Mehdi Khashei; Negar Bakhtiarvand (J. Ambient Intell. Humaniz. Comput., 2023)

Intelligent Discrete Deep Learning Based Classification Methodology in Chemometrics. - Mehdi Khashei; Erfan Nazgouei; Negar Bakhtiarvand (J. Chem. Inf. Model., 2023)

A novel discrete learning-based intelligent methodology for breast cancer classification purposes. - Mehdi Khashei; Negar Bakhtiarvand (Artif. Intell. Medicine, 2023)

Discrete learning-based intelligent methodology for heart disease diagnosis. - Mehdi Khashei; Negar Bakhtiarvand (Biomed. Signal Process. Control., 2023)

Stock turning points classification using a novel discrete learning-based methodology. - Mehdi Khashei; Fateme Yazdani; Negar Bakhtiarvand (Soft Comput., 2023)

A Comparative Study of Discrete Direction vs. Continuous Distance-Based Cost Function in Energy Classification. - Mehdi Khashei; Sepideh Etemadi; Negar Bakhtiarvand (Int. J. Comput. Intell. Syst., 2023)

A linear directional optimum weighting (LDOW) approach for parallel hybridization of classifiers. - Zahra Hajirahimi; Mehdi Khashei; Negar Bakhtiarvand (Appl. Soft Comput., 2024)

A New Discrete Learning-Based Logistic Regression Classifier for Bankruptcy Prediction. - Mehdi Khashei; Sepideh Etemadi; Negar Bakhtiarvand (Wirel. Pers. Commun., 2024)

A Novel Discrete Deep Learning-Based Cancer Classification Methodology. - Marzieh Soltani; Mehdi Khashei; Negar Bakhtiarvand (Cogn. Comput., 2024)

A discrete learning-based intelligent classifier for breast cancer classification. - Mehdi Khashei; Negar Bakhtiarvand; Parsa Ahmadi (Multim. Tools Appl., 2024)