| Decoding clinical biomarker space of COVID-19: Exploring matrix factorization-based feature selection methods F Saberi-Movahed, M Mohammadifard, A Mehrpooya, M Rezaei-Ravari, ... Computers in biology and medicine 146, 105426, 2022 | 73 | 2022 |
| Regularizing extreme learning machine by dual locally linear embedding manifold learning for training multi-label neural network classifiers M Rezaei-Ravari, M Eftekhari, F Saberi-Movahed Engineering Applications of Artificial Intelligence 97, 104062, 2021 | 43 | 2021 |
| High dimensionality reduction by matrix factorization for systems pharmacology A Mehrpooya, F Saberi-Movahed, N Azizizadeh, M Rezaei-Ravari, ... Briefings in Bioinformatics 23 (1), bbab410, 2022 | 34 | 2022 |
| ML-CK-ELM: An efficient multi-layer extreme learning machine using combined kernels for multi-label classification M Rezaei Ravari, M Eftekhari, F Saberi Movahed Scientia Iranica 27 (6), 3005-3018, 2020 | 10 | 2020 |
| A novel framework based on the multi-label classification for dynamic selection of classifiers J Elmi, M Eftekhari, A Mehrpooya, MR Ravari International Journal of Machine Learning and Cybernetics 14 (6), 2137-2154, 2023 | 3 | 2023 |
| Decoding Clinical Biomarker Space of COVID-19: Exploring Matrix Factorization-based Feature Selection Methods (preprint) F Saberi-Movahed, M Mohammadifard, A Mehrpooya, M Rezaei-Ravari, ... | 1 | 2021 |
Mahdi EftekhariProfessor of Computer Eng, Shahid Bahonar University of Kerman, Kerman, IranVerificeret mail på uk.ac.ir
