Support vector machines: Theory and applications T Evgeniou, M Pontil Advanced course on artificial intelligence, 249-257, 1999 | 1088* | 1999 |
Dynamic data-driven genetic algorithm for forest fire spread prediction M Denham, K Wendt, G Bianchini, A Cortés, T Margalef Journal of Computational Science 3 (5), 398-404, 2012 | 78 | 2012 |
Wildland fire growth prediction method based on multiple overlapping solution G Bianchini, M Denham, A Cortés, T Margalef, E Luque Journal of Computational Science 1 (4), 229-237, 2010 | 67 | 2010 |
Applying a dynamic data driven genetic algorithm to improve forest fire spread prediction M Denham, A Cortés, T Margalef, E Luque International Conference on Computational Science, 36-45, 2008 | 61 | 2008 |
Automatic performance evaluation of parallel programs A Espinosa, T Margalef, E Luque Proceedings of the Sixth Euromicro Workshop on Parallel and Distributed …, 1998 | 59 | 1998 |
A distributed diffusion method for dynamic load balancing on parallel computers E Luque, A Ripoll, A Cortes, T Margalef Proceedings Euromicro Workshop on Parallel and Distributed Processing, 43-50, 1995 | 53 | 1995 |
Enhancing wildland fire prediction on cluster systems applying evolutionary optimization techniques B Abdalhaq, A Cortés, T Margalef, E Luque Future Generation Computer Systems 21 (1), 61-67, 2005 | 51 | 2005 |
Mate: Monitoring, analysis and tuning environment for parallel/distributed applications A Morajko, P Caymes‐Scutari, T Margalef, E Luque Concurrency and Computation: Practice and Experience 19 (11), 1517-1531, 2007 | 46 | 2007 |
Wind field uncertainty in forest fire propagation prediction G Sanjuan, C Brun, T Margalef, A Cortés Procedia Computer Science 29, 1535-1545, 2014 | 37 | 2014 |
Injecting dynamic real-time data into a DDDAS for forest fire behavior prediction R Rodríguez, A Cortés, T Margalef International Conference on Computational Science, 489-499, 2009 | 37 | 2009 |
Time aware genetic algorithm for forest fire propagation prediction: exploiting multi‐core platforms T Artés, A Cencerrado, A Cortés, T Margalef Concurrency and Computation: Practice and Experience 29 (9), e3837, 2017 | 35 | 2017 |
Relieving the effects of uncertainty in forest fire spread prediction by hybrid mpi-openmp parallel strategies T Artés, A Cencerrado, A Cortés, T Margalef Procedia Computer Science 18, 2278-2287, 2013 | 35 | 2013 |
Design and implementation of a dynamic tuning environment A Morajko, T Margalef, E Luque Journal of Parallel and Distributed Computing 67 (4), 474-490, 2007 | 34 | 2007 |
MATE: Dynamic performance tuning environment A Morajko, O Morajko, T Margalef, E Luque European Conference on Parallel Processing, 98-107, 2004 | 34 | 2004 |
Response time assessment in forest fire spread simulation: An integrated methodology for efficient exploitation of available prediction time A Cencerrado, A Cortés, T Margalef Environmental Modelling & Software 54, 153-164, 2014 | 32 | 2014 |
Coupling wind dynamics into a DDDAS forest fire propagation prediction system C Brun, T Artées, T Margalef, A Cortées Procedia Computer Science 9, 1110-1118, 2012 | 32 | 2012 |
Forest fire propagation prediction based on overlapping DDDAS forecasts T Artes, A Cardil, A Cortés, T Margalef, D Molina, L Pelegrín, J Ramírez Procedia Computer Science 51, 1623-1632, 2015 | 29 | 2015 |
Knowledge-guided genetic algorithm for input parameter optimisation in environmental modelling K Wendt, A Cortés, T Margalef Procedia Computer Science 1 (1), 1367-1375, 2010 | 29 | 2010 |
Improved prediction methods for wildfires using high performance computing: A comparison G Bianchini, A Cortés, T Margalef, E Luque International Conference on Computational Science, 539-546, 2006 | 27 | 2006 |
Computational steering strategy to calibrate input variables in a dynamic data driven genetic algorithm for forest fire spread prediction M Denham, A Cortés, T Margalef International Conference on Computational Science, 479-488, 2009 | 26 | 2009 |