Fateme Moslehi - researchr alias

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Viewing Publication 1 - 5 from 5

2022

Generating balanced and strong clusters based on balance-constrained clustering approach (strong balance-constrained clustering) for improving ensemble classifier performanceSeyed Alireza Mousavian Anaraki, Abdorrahman Haeri, Fateme Moslehi. nca, 34(23):21139-21155, 2022. [doi]

2021

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 interpretabilitySeyed Alireza Mousavian Anaraki, Abdorrahman Haeri, Fateme Moslehi. paa, 24(3):1387-1402, 2021. [doi]

2020

A novel hybrid wrapper-filter approach based on genetic algorithm, particle swarm optimization for feature subset selectionFateme Moslehi, Abdorrahman Haeri. jaihc, 11(3):1105-1127, 2020. [doi]

An evolutionary computation-based approach for feature selectionFateme Moslehi, Abdorrahman Haeri. jaihc, 11(9):3757-3769, 2020. [doi]

A novel hybrid GA-PSO framework for mining quantitative association rulesFateme Moslehi, Abdorrahman Haeri, Francisco Martínez-Álvarez. soco, 24(6):4645-4666, 2020. [doi]

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