| A tabu search method for load balancing in fog computing N Téllez, M Jimeno, A Salazar, E Nino-Ruiz Int. J. Artif. Intell 16 (2), 1-30, 2018 | 55 | 2018 |
| A parallel implementation of the ensemble Kalman filter based on modified Cholesky decomposition ED Nino-Ruiz, A Sandu, X Deng Journal of Computational Science 36, 100654, 2019 | 48 | 2019 |
| An ensemble Kalman filter implementation based on modified Cholesky decomposition for inverse covariance matrix estimation ED Nino-Ruiz, A Sandu, X Deng SIAM Journal on Scientific Computing 40 (2), A867-A886, 2018 | 45 | 2018 |
| An efficient implementation of the ensemble Kalman filter based on an iterative Sherman–Morrison formula ED Nino Ruiz, A Sandu, J Anderson Statistics and Computing 25, 561-577, 2015 | 45 | 2015 |
| Ensemble Kalman filter implementations based on shrinkage covariance matrix estimation ED Nino-Ruiz, A Sandu Ocean Dynamics 65, 1423-1439, 2015 | 37 | 2015 |
| Utilización de biosorbentes para la remoción de níquel y plomo en sistemas binarios C Tejada, A Herrera, E Ruiz Ciencia en desarrollo 7 (1), 31-36, 2016 | 27 | 2016 |
| A derivative-free trust region framework for variational data assimilation EDN Ruiz, A Sandu Journal of computational and applied mathematics 293, 164-179, 2016 | 27 | 2016 |
| WRF-RPL: Weighted random forward RPL for high traffic and energy demanding scenarios PD Acevedo, D Jabba, P Sanmartín, S Valle, ED Nino-Ruiz IEEE Access 9, 60163-60174, 2021 | 25 | 2021 |
| A parallel ensemble Kalman filter implementation based on modified Cholesky decomposition ED Nino-Ruiz, A Sandu, X Deng Proceedings of the 6th Workshop on Latest Advances in Scalable Algorithms …, 2015 | 24 | 2015 |
| Efficient parallel implementation of DDDAS inference using an ensemble Kalman filter with shrinkage covariance matrix estimation ED Nino-Ruiz, A Sandu Cluster computing 22, 2211-2221, 2019 | 23 | 2019 |
| Robust Data Assimilation Using and Huber Norms V Rao, A Sandu, M Ng, ED Nino-Ruiz SIAM Journal on Scientific Computing 39 (3), B548-B570, 2017 | 21 | 2017 |
| A matrix-free posterior ensemble kalman filter implementation based on a modified cholesky decomposition ED Nino-Ruiz Atmosphere 8 (7), 125, 2017 | 20 | 2017 |
| Local search methods for the solution of implicit inverse problems ED Nino-Ruiz, C Ardila, R Capacho Soft Computing 22, 4819-4832, 2018 | 17 | 2018 |
| A robust non-Gaussian data assimilation method for highly non-linear models ED Nino-Ruiz, H Cheng, R Beltran Atmosphere 9 (4), 126, 2018 | 14 | 2018 |
| Improved Tabu Search and Simulated Annealing methods for nonlinear data assimilation ED Nino-Ruiz, XS Yang Applied Soft Computing 83, 105624, 2019 | 13 | 2019 |
| On the mathematical modelling and data assimilation for air pollution assessment in the Tropical Andes OLQ Montoya, ED Niño-Ruiz, N Pinel Environmental Science and Pollution Research 27, 35993-36012, 2020 | 12 | 2020 |
| A genetic algorithm for multiobjective hard scheduling optimization E Niño, C Ardila, AJ Perez, Y Donoso International Journal of Computers Communications and Control 5 (5), 2010 | 12 | 2010 |
| An efficient ensemble Kalman Filter implementation via shrinkage covariance matrix estimation: exploiting prior knowledge S Lopez-Restrepo, ED Nino-Ruiz, LG Guzman-Reyes, A Yarce, ... Computational Geosciences 25, 985-1003, 2021 | 11 | 2021 |
| Implicit surrogate models for trust region based methods ED Nino-Ruiz Journal of computational science 26, 264-274, 2018 | 11 | 2018 |
| A posterior ensemble kalman filter based on a modified cholesky decomposition ED Nino-Ruiz, A Mancilla, JC Calabria Procedia Computer Science 108, 2049-2058, 2017 | 11 | 2017 |
Adrian SanduProfessor of Computer Science, Virginia Tech在 cs.vt.edu 的电子邮件经过验证
