GRACER: Improving the Accuracy of RACER Classifier Using A Greedy Approach. - Peyman Hosseini; Alireza Basiri (CSICC, 2022)

Brain Drain Optimization: a Novel Approach for Task Scheduling in the Cloud Computing. - SayedAli Rad; Alireza Basiri (CSICC, 2022)

Employees Turnover Rate with Pivoted Length Normalization. - Ghazaleh Zehtab; Alireza Basiri (CSICC, 2022)

ROPAC: Rule OPtimized Aggregation Classifier. - Melvin Mokhtari; Alireza Basiri (Expert Syst. Appl., 2024)

Supervised discretization of continuous-valued attributes for classification using RACER algorithm. - Elaheh Toulabinejad; Mohammad Mirsafaei; Alireza Basiri (Expert Syst. Appl., 2024)

RACEkNN: A hybrid approach for improving the effectiveness of the k-nearest neighbor algorithm. - Mahdiyeh Ebrahimi; Alireza Basiri (Knowl. Based Syst., 2024)

RUCIB: a novel rule-based classifier based on BRADO algorithm. - Iman Morovatian; Alireza Basiri; Samira Rezaei (Computing, 2024)

Mining interpretable rules with MCRM: A novel rule mining algorithm with inherent feature selection and discretization. - Mohammadreza Khosravi; Alireza Basiri (Inf. Sci., 2025)