| Optimal variable shape parameters using genetic algorithm for radial basis function approximation F Afiatdoust, M Esmaeilbeigi Ain Shams Engineering Journal 6 (2), 639-647, 2015 | 60 | 2015 |
| A new approach based on the genetic algorithm for finding a good shape parameter in solving partial differential equations by Kansa’s method M Esmaeilbeigi, MM Hosseini Applied Mathematics and Computation 249, 419-428, 2014 | 45 | 2014 |
| A RBF partition of unity collocation method based on finite difference for initial–boundary value problems G Garmanjani, R Cavoretto, M Esmaeilbeigi Computers & Mathematics with Applications 75 (11), 4066-4090, 2018 | 42 | 2018 |
| Copula-based probabilistic assessment of intensity and duration of cold episodes: A case study of Malayer vineyard region O Chatrabgoun, R Karimi, A Daneshkhah, S Abolfathi, H Nouri, ... Agricultural and Forest Meteorology 295, 108150, 2020 | 28 | 2020 |
| A new approach of the radial basis functions method for telegraph equations M Esmaeilbeigi, MM Hosseini, ST Mohyud-Din International Journal of Physical Sciences 6 (6), 1517-1527, 2011 | 25 | 2011 |
| Dynamic node adaptive strategy for nearly singular problems on large domains M Esmaeilbeigi, MM Hosseini Engineering analysis with boundary elements 36 (9), 1311-1321, 2012 | 21 | 2012 |
| A meshfree method for solving multidimensional linear Fredholm integral equations on the hypercube domains M Esmaeilbeigi, F Mirzaee, D Moazami Applied Mathematics and Computation 298, 236-246, 2017 | 20 | 2017 |
| A low cost and highly accurate technique for big data spatial-temporal interpolation M Esmaeilbeigi, O Chatrabgoun, A Hosseinian-Far, R Montasari, ... Applied Numerical Mathematics 153, 492-502, 2020 | 18 | 2020 |
| Radial basis functions method for solving three-dimensional linear Fredholm integral equations on the cubic domains M Esmaeilbeigi, F Mirzaee, D Moazami Iranian Journal of Numerical Analysis and Optimization 7 (2), 15-38, 2017 | 16 | 2017 |
| Numerical solution of time-dependent stochastic partial differential equations using RBF partition of unity collocation method based on finite difference M Esmaeilbeigi, O Chatrabgoun, M Shafa Engineering Analysis with Boundary Elements 104, 120-134, 2019 | 11 | 2019 |
| Gaussian radial basis function interpolant for the different data sites and basis centers M Esmaeilbeigi, G Garmanjani Calcolo 54 (1), 155-166, 2017 | 10 | 2017 |
| Stable likelihood computation for machine learning of linear differential operators with Gaussian processes O Chatrabgoun, M Esmaeilbeigi, M Cheraghi, A Daneshkhah International Journal for Uncertainty Quantification 12 (3), 2022 | 7 | 2022 |
| Approximate solution of the fuzzy fractional Bagley-Torvik equation by the RBF collocation method M Esmaeilbeigi, M Paripour, G Garmanjani Computational Methods for Differential Equations 6 (2), 186-214, 2018 | 7 | 2018 |
| Predicting primary sequence-based protein-protein interactions using a mercer series representation of nonlinear support vector machine O Chatrabgoun, A Daneshkhah, M Esmaeilbeigi, NS Safa, AH Alenezi, ... IEEE Access 10, 124345-124354, 2022 | 6 | 2022 |
| Fractional Hermite interpolation using RBFs in high dimensions over irregular domains with application M Esmaeilbeigi, O Chatrabgoun, M Cheraghi Journal of Computational Physics 375, 1091-1120, 2018 | 6 | 2018 |
| A shift‐adaptive meshfree method for solving a class of initial‐boundary value problems with moving boundaries in one‐dimensional domain M Esmaeilbeigi, G Garmanjani Numerical Methods for Partial Differential Equations 32 (6), 1622-1646, 2016 | 5 | 2016 |
| A novel hybrid trust region algorithm based on nonmonotone and LOOCV techniques M Ahmadvand, M Esmaeilbeigi, A Kamandi, FM Yaghoobi Computational Optimization and Applications 72, 499-524, 2019 | 4 | 2019 |
| Scattered data fitting of Hermite type by a weighted meshless method M Esmaeilbeigi, O Chatrabgoun, M Shafa Advances in Computational Mathematics 44, 673-691, 2018 | 4 | 2018 |
| Analyzing the effects of various isotropic and anisotropic kernels on critical heat flux prediction using Gaussian process regression M Soleimani, M Esmaeilbeigi, R Cavoretto, A De Rossi Engineering Applications of Artificial Intelligence 133, 108351, 2024 | 3 | 2024 |
| Hybrid kernel approach to improving the numerical stability of machine learning for parametric equations with Gaussian processes in the noisy and noise-free data assumptions M Esmaeilbeigi, M Cheraghi Engineering with Computers 40 (2), 761-794, 2024 | 3 | 2024 |
