| 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 | 63 | 2021 |
| Hierarchical cluster ensemble selection E Akbari, HM Dahlan, R Ibrahim, H Alizadeh Engineering Applications of Artificial Intelligence 39, 146-156, 2015 | 60 | 2015 |
| 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 | 47 | 2021 |
| Frequency based feature selection method using whale algorithm H Nematzadeh, R Enayatifar, M Mahmud, E Akbari Genomics 111 (6), 1946-1955, 2019 | 45 | 2019 |
| 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 | 42 | 2020 |
| 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 | 19 | 2020 |
| Automatic ensemble feature selection using fast non-dominated sorting S Abasabadi, H Nematzadeh, H Motameni, E Akbari Information Systems 100, 101760, 2021 | 11 | 2021 |
| Consensus clustering algorithm based on the automatic partitioning similarity graph SS Hamidi, E Akbari, H Motameni Data & Knowledge Engineering 124, 101754, 2019 | 11 | 2019 |
| Comparison of different methods for emotion classification M Molavi, J bin Yunus, E Akbari 2012 Sixth Asia modelling symposium, 50-53, 2012 | 10 | 2012 |
| 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 | 9 | 2022 |
| 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 | 8 | 2022 |
| 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 | 4 | 2022 |
| 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 | 3 | 2021 |
| 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 | 3 | 2021 |
| 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 |
| 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 | 2 | 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 | 1 | 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 | 1 | 2022 |
| The impact of diversity on clustering ensemble using criterion SS Hamidi, E Akbari, H Motameni International Journal of Nonlinear Analysis and Applications 13 (2), 1151-1163, 2022 | 1 | 2022 |
| Outlier detection in test samples and supervised training set selection N Mohseni, H Nematzadeh, E Akbari International Journal of Nonlinear Analysis and Applications 12 (1), 701-712, 2021 | 1 | 2021 |
