| Predictive ability of machine learning methods for massive crop yield prediction A González Sánchez, J Frausto Solís, W Ojeda Bustamante Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria., 2014 | 218 | 2014 |
| Attribute selection impact on linear and nonlinear regression models for crop yield prediction A Gonzalez-Sanchez, J Frausto-Solis, W Ojeda-Bustamante The Scientific World Journal 2014, 2014 | 73 | 2014 |
| A method to establish the cooling scheme in simulated annealing like algorithms H Sanvicente-Sánchez, J Frausto-Solís Computational Science and Its Applications–ICCSA 2004: International …, 2004 | 52 | 2004 |
| Volatility forecasting using support vector regression and a hybrid genetic algorithm G Santamaría-Bonfil, J Frausto-Solís, I Vázquez-Rodarte Computational Economics 45, 111-133, 2015 | 39 | 2015 |
| ANDYMARK: an analytical method to establish dynamically the length of the markov chain in simulated annealing for the satisfiability problem J Frausto-Solís, H Sanvicente-Sánchez, F Imperial-Valenzuela Simulated Evolution and Learning: 6th International Conference, SEAL 2006 …, 2006 | 29 | 2006 |
| ANDYMARK: an analytical method to establish dynamically the length of the markov chain in simulated annealing for the satisfiability problem J Frausto-Solís, H Sanvicente-Sánchez, F Imperial-Valenzuela Simulated Evolution and Learning: 6th International Conference, SEAL 2006 …, 2006 | 29 | 2006 |
| Analytically tuned simulated annealing applied to the protein folding problem J Frausto-Solis, EF Román, D Romero, X Soberon, E Liñán-García Computational Science–ICCS 2007: 7th International Conference, Beijing …, 2007 | 25 | 2007 |
| Forecasting oil production time series with a population-based simulated annealing method J Frausto-Solís, M Chi-Chim, L Sheremetov Arabian Journal for Science and Engineering 40, 1081-1096, 2015 | 23 | 2015 |
| A new method for optimal cropping pattern J Frausto-Solis, A Gonzalez-Sanchez, M Larre MICAI 2009: Advances in Artificial Intelligence: 8th Mexican International …, 2009 | 21 | 2009 |
| An efficient simulated annealing algorithm for feasible solutions of course timetabling J Frausto-Solis, F Alonso-Pecina, J Mora-Vargas Mexican International Conference on Artificial Intelligence, 675-685, 2008 | 21 | 2008 |
| Survey of polynomial transformations between NP-complete problems JA Ruiz-Vanoye, J Pérez-Ortega, O Díaz-Parra, J Frausto-Solís, ... Journal of computational and applied mathematics 235 (16), 4851-4865, 2011 | 20 | 2011 |
| Locally-optimal path planning by using probabilistic roadmaps and simulated annealing G Sanchez, F Ramos, J Frausto Proceedings IASTED robotics and applications international conference, 1999 | 20 | 1999 |
| Time series complexities and their relationship to forecasting performance M Ponce-Flores, J Frausto-Solís, G Santamaría-Bonfil, J Pérez-Ortega, ... Entropy 22 (1), 89, 2020 | 19 | 2020 |
| Feature selection for better identification of subtypes of Guillain-Barré syndrome J Hernández-Torruco, J Canul-Reich, J Frausto-Solís, JJ Méndez-Castillo Computational and Mathematical Methods in Medicine 2014, 2014 | 19 | 2014 |
| Chaotic multi-objective simulated annealing and threshold accepting for job shop scheduling problem J Frausto-Solis, L Hernández-Ramírez, G Castilla-Valdez, ... Mathematical and Computational Applications 26 (1), 8, 2021 | 18 | 2021 |
| MPSA: A methodology to parallelize simulated annealing and its application to the traveling salesman problem H Sanvicente-Sánchez, J Frausto-Solís MICAI 2002: Advances in Artificial Intelligence: Second Mexican …, 2002 | 18 | 2002 |
| Convolutional neural Network–Component transformation (CNN–CT) for confirmed COVID-19 cases J Frausto-Solís, LJ Hernández-González, JJ González-Barbosa, ... Mathematical and Computational Applications 26 (2), 29, 2021 | 17 | 2021 |
| Short-term streamflow forecasting: ARIMA vs neural networks J Frausto-Solis, E Pita, J Lagunas American Conference on Applied Mathematics (MATH'08), Harvard, Massachusetts …, 2008 | 17 | 2008 |
| Simulated annealing with restart to job shop scheduling problem using upper bounds MA Cruz-Chavez, J Frausto-Solis International Conference on Artificial Intelligence and Soft Computing, 860-865, 2004 | 17 | 2004 |
| Towards a predictive model for Guillain-Barré syndrome J Hernández-Torruco, J Canul-Reich, J Frausto-Solis, JJ Méndez-Castillo 2015 37th Annual International Conference of the IEEE Engineering in …, 2015 | 16 | 2015 |
Juan Javier González BarbosaTecnológico Nacional de México/Instituto Tecnológico de Ciudad MaderoVerified email at itcm.edu.mx
