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For: Mohammadi Jenghara M, Ebrahimpour-komleh H, Parvin H. Dynamic protein–protein interaction networks construction using firefly algorithm. Pattern Anal Applic 2018;21:1067-81. [DOI: 10.1007/s10044-017-0626-7] [Cited by in Crossref: 17] [Cited by in F6Publishing: 7] [Article Influence: 3.4] [Reference Citation Analysis]
Number Citing Articles
1 Noori S, Al‐a'araji N, Al‐shamery E. Construction of dynamic protein interaction network based on gene expression data and quartile one principle. Proteins 2022;90:1219-1228. [DOI: 10.1002/prot.26304] [Reference Citation Analysis]
2 Mohammadi M, Mobarakeh MI. An integrated clustering algorithm based on firefly algorithm and self-organized neural network. Prog Artif Intell. [DOI: 10.1007/s13748-022-00275-5] [Reference Citation Analysis]
3 Pho K, Akbarzadeh H, Parvin H, Nejatian S, Alinejad-rokny H. A multi-level consensus function clustering ensemble. Soft Comput 2021;25:13147-13165. [DOI: 10.1007/s00500-021-06092-7] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
4 Ghasemi M, Bagherifard K, Parvin H, Nejatian S, Pho K. Multi-objective whale optimization algorithm and multi-objective grey wolf optimizer for solving next release problem with developing fairness and uncertainty quality indicators. Appl Intell 2021;51:5358-87. [DOI: 10.1007/s10489-020-02018-2] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 6.0] [Reference Citation Analysis]
5 Sun T, Mashdour S, Mahmoudi MR. An Ensemble Clusterer Framework based on Valid and Diverse Basic Small Clusters. Int J Info Tech Dec Mak 2021;20:1189-219. [DOI: 10.1142/s0219622021500309] [Reference Citation Analysis]
6 Dabighi K, Nazari A, Saryazdi S. A step edge detector based on bilinear transformation. IFS 2021;40:3863-74. [DOI: 10.3233/jifs-191229] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
7 Kejia S, Parvin H, Qasem SN, Tuan BA, Pho K. A classification model based on svm and fuzzy rough set for network intrusion detection. IFS 2020;39:6801-6817. [DOI: 10.3233/jifs-191621] [Reference Citation Analysis]
8 Tianhe Y, Mahmoudi MR, Qasem SN, Tuan BA, Pho K. Numerical function optimization by conditionalized PSO algorithm. IFS 2020;39:3275-3295. [DOI: 10.3233/jifs-191685] [Reference Citation Analysis]
9 Wang Z, Parvin H, Qasem SN, Tuan BA, Pho K. Cluster ensemble selection using balanced normalized mutual information. IFS 2020;39:3033-3055. [DOI: 10.3233/jifs-191531] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
10 Yang Y, Liu H, Guan Z, He X, Liu G. CoHomo: A cluster-attribute correlation aware graph clustering framework. Neurocomputing 2020;412:327-338. [DOI: 10.1016/j.neucom.2020.06.002] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
11 Li G, Mahmoudi MR, Qasem SN, Tuan BA, Pho K. Cluster ensemble of valid small clusters. IFS 2020;39:525-542. [DOI: 10.3233/jifs-191530] [Reference Citation Analysis]
12 Bahrani P, Minaei-bidgoli B, Parvin H, Mirzarezaee M, Keshavarz A, Alinejad-rokny H. User and item profile expansion for dealing with cold start problem. IFS 2020;38:4471-83. [DOI: 10.3233/jifs-191225] [Cited by in Crossref: 10] [Cited by in F6Publishing: 11] [Article Influence: 5.0] [Reference Citation Analysis]
13 Najafi F, Parvin H, Mirzaie K, Nejatian S, Rezaie V. Dependability‐based cluster weighting in clustering ensemble. Stat Anal Data Min: The ASA Data Sci Journal 2020;13:151-64. [DOI: 10.1002/sam.11451] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 3.0] [Reference Citation Analysis]
14 Nazari A, Dehghan A, Nejatian S, Rezaie V, Parvin H. A comprehensive study of clustering ensemble weighting based on cluster quality and diversity. Pattern Anal Applic 2019;22:133-45. [DOI: 10.1007/s10044-017-0676-x] [Cited by in Crossref: 42] [Cited by in F6Publishing: 31] [Article Influence: 8.4] [Reference Citation Analysis]
15 Shakeri M, Dadvar M. A Modified-ABC: An Explicit-Memory Based Approach with a New Memory Updating and Retrieval in Dynamic Environments. 2016 Fifteenth Mexican International Conference on Artificial Intelligence (MICAI) 2016. [DOI: 10.1109/micai-2016.2016.00022] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.2] [Reference Citation Analysis]
16 Sadeghi-moghadam M, Haghparast H, Hoseinpour SA. A Study on Pattern-Based Spectral Clustering Methods in DWN. 2016 Fifteenth Mexican International Conference on Artificial Intelligence (MICAI) 2016. [DOI: 10.1109/micai-2016.2016.00019] [Reference Citation Analysis]