From clustering to clustering ensemble selection: A review K Golalipour, E Akbari, SS Hamidi, M Lee, R Enayatifar
Engineering Applications of Artificial Intelligence 104, 104388, 2021
106 2021 A hybrid feature selection method based on information theory and binary butterfly optimization algorithm Z Sadeghian, E Akbari, H Nematzadeh
Engineering Applications of Artificial Intelligence 97, 104079, 2021
100 2021 Task scheduling approaches in fog computing: A systematic review MR Alizadeh, V Khajehvand, AM Rahmani, E Akbari
International Journal of Communication Systems 33 (16), e4583, 2020
83 2020 Hierarchical cluster ensemble selection E Akbari, HM Dahlan, R Ibrahim, H Alizadeh
Engineering Applications of Artificial Intelligence 39, 146-156, 2015
66 2015 Frequency based feature selection method using whale algorithm H Nematzadeh, R Enayatifar, M Mahmud, E Akbari
Genomics 111 (6), 1946-1955, 2019
60 2019 A mixed solution-based high agreement filtering method for class noise detection in binary classification M Samami, E Akbari, M Abdar, P Plawiak, H Nematzadeh, ME Basiri, ...
Physica A: Statistical Mechanics and its Applications 553, 124219, 2020
22 2020 Automatic ensemble feature selection using fast non-dominated sorting S Abasabadi, H Nematzadeh, H Motameni, E Akbari
Information Systems 100, 101760, 2021
21 2021 Consensus clustering algorithm based on the automatic partitioning similarity graph SS Hamidi, E Akbari, H Motameni
Data & Knowledge Engineering 124, 101754, 2019
20 2019 Ensemble feature selection using distance-based supervised and unsupervised methods in binary classification B Hallajian, H Motameni, E Akbari
Expert Systems with Applications 200, 116794, 2022
16 2022 Hybrid feature selection based on SLI and genetic algorithm for microarray datasets S Abasabadi, H Nematzadeh, H Motameni, E Akbari
The Journal of Supercomputing 78 (18), 19725-19753, 2022
15 2022 Comparison of different methods for emotion classification M Molavi, J bin Yunus, E Akbari
2012 Sixth Asia modelling symposium, 50-53, 2012
12 2012 A review of feature selection methods based on meta-heuristic algorithms Z Sadeghian, E Akbari, H Nematzadeh, H Motameni
Journal of Experimental & Theoretical Artificial Intelligence, 1-51, 2023
10 2023 A weighted ensemble classifier based on WOA for classification of diabetes F Khademi, M Rabbani, H Motameni, E Akbari
Neural Computing and Applications, 1-9, 2022
10 2022 Clustering ensemble selection based on the extended Jaccard measure H Khalili, M Rabbani, E Akbari
Turkish Journal of Electrical Engineering and Computer Sciences 29 (4), 2215 …, 2021
7 2021 Optimal components selection based on fuzzy-intra coupling density for component-based software systems under build-or-buy scheme S Kalantari, H Motameni, E Akbari, M Rabbani
Complex & Intelligent Systems 7 (6), 3111-3134, 2021
6 2021 Automatic summarising of user stories in order to be reused in future similar projects MR Resketi, H Motameni, H Nematzadeh, E Akbari
IET software 14 (6), 711-723, 2020
5 2020 TPEL: Task possible execution level for effective scheduling in fog–cloud environment MR Alizadeh, V Khajehvand, AM Rahmani, E Akbari
Cluster Computing 25 (6), 4653-4672, 2022
3 2022 Feature selection methods in microarray gene expression data: A systematic mapping study M Vahmiyan, M Kheirabadi, E Akbari
Neural Computing and Applications 34 (22), 19675-19702, 2022
3 2022 The impact of diversity on clustering ensemble using SS Hamidi, E Akbari, H Motameni
International Journal of Nonlinear Analysis and Applications 13 (2), 1151-1163, 2022
3 2022 Comparison of two Defuzzification methods of Mean of Max and Central Average in Morphology of composition functions in Persian Sentences P Pirayesh, H Motameni, E Akbari
Journal of Advances in Computer Research 11 (2), 17-29, 2020
3 2020 
Navid MohseniPhd of Software EngineeringAdresse e-mail validée de iausari.ac.ir
