| Coronary artery disease diagnosis; ranking the significant features using a random trees model JH Joloudari, E Hassannataj Joloudari, H Saadatfar, M Ghasemigol, ... International journal of environmental research and public health 17 (3), 731, 2020 | 161 | 2020 |
| A new K-nearest neighbors classifier for big data based on efficient data pruning H Saadatfar, S Khosravi, JH Joloudari, A Mosavi, S Shamshirband Mathematics 8 (2), 286, 2020 | 116 | 2020 |
| Computer-aided decision-making for predicting liver disease using PSO-based optimized SVM with feature selection JH Joloudari, H Saadatfar, A Dehzangi, S Shamshirband Informatics in medicine unlocked 17, 100255, 2019 | 107 | 2019 |
| K-DBSCAN: An improved DBSCAN algorithm for big data N Gholizadeh, H Saadatfar, N Hanafi The Journal of supercomputing 77 (6), 6214-6235, 2021 | 75 | 2021 |
| A fast DBSCAN algorithm for big data based on efficient density calculation N Hanafi, H Saadatfar Expert Systems with Applications 203, 117501, 2022 | 47 | 2022 |
| Two density-based sampling approaches for imbalanced and overlapping data S Mayabadi, H Saadatfar Knowledge-Based Systems 241, 108217, 2022 | 39 | 2022 |
| Job failure prediction in grid environment based on workload characteristics H Fadishei, H Saadatfar, H Deldari 2009 14th International CSI Computer Conference, 329-334, 2009 | 34 | 2009 |
| An improved K‐means algorithm for big data F Moodi, H Saadatfar IET Software 16 (1), 48-59, 2022 | 33 | 2022 |
| Predicting job failures in AuverGrid based on workload log analysis H Saadatfar, H Fadishei, H Deldari New Generation Computing 30, 73-94, 2012 | 22 | 2012 |
| FCS-MBFLEACH: Designing an energy-aware fault detection system for mobile wireless sensor networks S Shamshirband, JH Joloudari, M GhasemiGol, H Saadatfar, A Mosavi, ... Mathematics 8 (1), 28, 2019 | 17 | 2019 |
| Job failure prediction in Hadoop based on log file analysis E Shirzad, H Saadatfar International Journal of Computers and Applications 44 (3), 260-269, 2022 | 12 | 2022 |
| MB-FLEACH: a new algorithm for super cluster head selection for wireless sensor networks SM Hosseini, JH Joloudari, H Saadatfar International Journal of Wireless Information Networks 26, 113-130, 2019 | 12 | 2019 |
| FCM-DNN: diagnosing coronary artery disease by deep accuracy fuzzy C-means clustering model JH Joloudari, H Saadatfar, M GhasemiGol, R Alizadehsani, ZA Sani, ... arXiv preprint arXiv:2202.04645, 2022 | 11 | 2022 |
| Rbsep: a reassignment and buffer based streaming edge partitioning approach M Taimouri, H Saadatfar Journal of Big Data 6 (1), 92, 2019 | 10 | 2019 |
| Evolution of the random subset feature selection algorithm for classification problem H SabbaghGol, H Saadatfar, M Khazaiepoor Knowledge-Based Systems 285, 111352, 2024 | 9 | 2024 |
| A Framework for ranking ubiquitous computing services by AHP analysis S Izadpanah, H Vahdat-Nejad, H Saadatfar International Journal of Modeling, Simulation, and Scientific Computing 9
, 2018 | 7 | 2018 |
| Applications of data mining in healthcare area: A survey. E Shirzad, G Ataei, H Saadatfar Engineering & Applied Science Research 48 (3), 2021 | 6 | 2021 |
| A job submission manager for large-scale distributed systems based on job futurity predictor H Saadatfar, H Deldari International Journal of Grid and Utility Computing 5 (1), 50-59, 2014 | 6 | 2014 |
| A fair active queue management approach based on supply and demand model H Saadatfar, MH Yaghmaee, HR Mashhadi 2010 5th International Symposium on Telecommunications, 261-265, 2010 | 6 | 2010 |
| An efficient GPU-based fractional-step domain decomposition scheme for the reactiondiffusion equation A Foadaddini, SA Zolfaghari, H Mahmoodi Darian, H Saadatfar Computational and Applied Mathematics 39, 1-35, 2020 | 5 | 2020 |
