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Fateme Moslehi

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2020 – today

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2022
[j5]
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  - journals/nca/AnarakiHM22
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Seyed Alireza Mousavian Anaraki, Abdorrahman Haeri, Fateme Moslehi:
Generating balanced and strong clusters based on balance-constrained clustering approach (strong balance-constrained clustering) for improving ensemble classifier performance. Neural Comput. Appl. 34(23): 21139-21155 (2022)
2021
[j4]
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  - journals/paa/AnarakiHM21
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Seyed Alireza Mousavian Anaraki, Abdorrahman Haeri, Fateme Moslehi:
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. Pattern Anal. Appl. 24(3): 1387-1402 (2021)
2020
[j3]
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Fateme Moslehi, Abdorrahman Haeri:
A novel hybrid wrapper-filter approach based on genetic algorithm, particle swarm optimization for feature subset selection. J. Ambient Intell. Humaniz. Comput. 11(3): 1105-1127 (2020)
[j2]
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Fateme Moslehi, Abdorrahman Haeri:
An evolutionary computation-based approach for feature selection. J. Ambient Intell. Humaniz. Comput. 11(9): 3757-3769 (2020)
[j1]
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Fateme Moslehi, Abdorrahman Haeri, Francisco Martínez-Álvarez:
A novel hybrid GA-PSO framework for mining quantitative association rules. Soft Comput. 24(6): 4645-4666 (2020)

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