A novel hybrid wrapper-filter approach based on genetic algorithm, particle swarm optimization for feature subset selection. - Fateme Moslehi; Abdorrahman Haeri (J. Ambient Intell. Humaniz. Comput., 2020)

An evolutionary computation-based approach for feature selection. - Fateme Moslehi; Abdorrahman Haeri (J. Ambient Intell. Humaniz. Comput., 2020)

A novel hybrid GA-PSO framework for mining quantitative association rules. - Fateme Moslehi; Abdorrahman Haeri; Francisco Martínez-Álvarez (Soft Comput., 2020)

A hybrid reciprocal model of PCA and K-means with an innovative approach of considering sub-datasets for the improvement of K-means initialization and step-by-step labeling to create clusters with high interpretability. - Seyed Alireza Mousavian Anaraki; Abdorrahman Haeri; Fateme Moslehi (Pattern Anal. Appl., 2021)

Generating balanced and strong clusters based on balance-constrained clustering approach (strong balance-constrained clustering) for improving ensemble classifier performance. - Seyed Alireza Mousavian Anaraki; Abdorrahman Haeri; Fateme Moslehi (Neural Comput. Appl., 2022)