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2020 – today
- 2022
[j7]Jan Strappa
, Paola Caymes-Scutari, Germán Bianchini:
Evolutionary Statistical System Based on Novelty Search: A Parallel Metaheuristic for Uncertainty Reduction Applied to Wildfire Spread Prediction. Algorithms 15(12): 478 (2022)- [c16]Jan Strappa, Paola Caymes-Scutari, Germán Bianchini:
A Parallel Novelty Search Metaheuristic Applied to a Wildfire Prediction System. IPDPS Workshops 2022: 798-806 - [i1]Jan Strappa, Paola Caymes-Scutari, Germán Bianchini:
A Parallel Novelty Search Metaheuristic Applied to a Wildfire Prediction System. CoRR abs/2207.11646 (2022) - 2021
- [c15]Miguel Méndez-Garabetti, Germán Bianchini, Paola Caymes-Scutari:
HESS-IM: A Uncertainty Reduction Method that Integrates Remote Sensing Data Applied to Forest Fire Behavior Prediction. JCC-BD&ET 2021: 17-30
2010 – 2019
- 2019
- [c14]Paola Caymes-Scutari, María Laura Tardivo, Germán Bianchini, Miguel Méndez-Garabetti:
Dynamic Tuning of a Forest Fire Prediction Parallel Method. CACIC 2019: 19-34 - 2017
- [j6]María Laura Tardivo, Paola Caymes-Scutari, Germán Bianchini, Miguel Méndez-Garabetti:
Hierarchical parallel model for improving performance on differential evolution. Concurr. Comput. Pract. Exp. 29(10) (2017) - [c13]María Laura Tardivo, Paola Caymes-Scutari, Miguel Méndez-Garabetti, Germán Bianchini:
Optimization for an Uncertainty Reduction Method Applied to Forest Fires Spread Prediction. CACIC 2017: 13-23 - [c12]María Laura Tardivo, Paola Caymes-Scutari, Germán Bianchini, Miguel Méndez-Garabetti, Andrés Cencerrado, Ana Cortés:
A comparative study of evolutionary statistical methods for uncertainty reduction in forest fire propagation prediction. ICCS 2017: 2018-2027 - 2016
- [c11]María Laura Tardivo, Paola Caymes-Scutari, Germán Bianchini, Miguel Méndez-Garabetti, Ana Cortés:
Three evolutionary statistical parallel methods for uncertainty reduction in wildland fire prediction. HPCS 2016: 721-728 - [c10]Paola Caymes-Scutari, Germán Bianchini, Anna Sikora, Tomàs Margalef:
Environment for automatic development and tuning of parallel applications. HPCS 2016: 743-750 - [c9]Miguel Méndez-Garabetti, Germán Bianchini, Paola Caymes-Scutari, María Laura Tardivo:
ESS-IM applied to forest fire spread prediction: Parameters tuning for a heterogeneous configuration. SCCC 2016: 1-12 - 2015
- [j5]Germán Bianchini, Paola Caymes-Scutari, Miguel Méndez-Garabetti:
Evolutionary-Statistical System: A parallel method for improving forest fire spread prediction. J. Comput. Sci. 6: 58-66 (2015) - 2014
- [j4]Germán Bianchini, Paola Caymes-Scutari:
Tuned Forest Fire Prediction: Static Calibration of the Evolutionary Component of ESS. CLEI Electron. J. 17(2) (2014) - [c8]Miguel Méndez-Garabetti, Germán Bianchini, María Laura Tardivo, Paola Caymes-Scutari:
Comparative Analysis of Performance and Quality of Prediction Between ESS and ESS-IM. CLEI Selected Papers 2014: 45-60 - 2013
- [c7]Germán Bianchini, Paola Caymes-Scutari:
Calibration of the parameters of ESS system for Forest Fire prediction. CLEI 2013: 1-10 - [c6]Cristian Federico Perez Montea, Fabiana Piccoli, Cristian Luciano, Silvio H. R. Rizzi, Germán Bianchini, Paola Caymes-Scutari:
Estimation of Volume Rendering Efficiency with GPU in a Parallel Distributed Environment. ICCS 2013: 1402-1411 - 2012
- [j3]Mónica Denham, Kerstin Wendt, Germán Bianchini, Ana Cortés, Tomàs Margalef:
Dynamic Data-Driven Genetic Algorithm for forest fire spread prediction. J. Comput. Sci. 3(5): 398-404 (2012) - 2010
- [j2]Germán Bianchini, Mónica Denham, Ana Cortés, Tomàs Margalef, Emilio Luque:
Wildland fire growth prediction method based on Multiple Overlapping Solution. J. Comput. Sci. 1(4): 229-237 (2010)
2000 – 2009
- 2006
- [b1]Germán Bianchini:
Wildland Fire Prediction based on Statistical Analysis of Multiple Solutions. Autonomous University of Barcelona, Spain, 2006 - [j1]Baker Abdalhaq, Ana Cortés, Tomàs Margalef, Germán Bianchini, Emilio Luque:
Between classical and ideal: enhancing wildland fire prediction using cluster computing. Clust. Comput. 9(3): 329-343 (2006) - [c5]Germán Bianchini, Ana Cortés, Tomàs Margalef, Emilio Luque:
Improved Prediction Methods for Wildfires Using High Performance Computing: A Comparison. International Conference on Computational Science (1) 2006: 539-546 - 2005
- [c4]Germán Bianchini, Ana Cortés, Tomàs Margalef, Emilio Luque:
S2F2M - Statistical System for Forest Fire Management. International Conference on Computational Science (1) 2005: 427-434 - [c3]Germán Bianchini, Ana Cortés, Tomàs Margalef, Emilio Luque, Emilio Chuvieco:
Wildland Fire Propagation Danger Maps Based on Factorial Experimentation. ITEE 2005: 173-185 - 2004
- [c2]Eduardo Argollo, Mauricio Hanzich, Diego Mostaccio, Germán Bianchini, Paula Cecilia Fritzsche, Ferran Bonàs, Emilio Luque, Juan C. Moure, Dolores Rexachs:
Graduate students learning strategies through research collaboration. ITiCSE 2004: 262 - 2003
- [c1]Baker Abdalhaq, Germán Bianchini, Ana Cortés, Tomàs Margalef, Emilio Luque:
Improving Wildland Fire Prediction on MPI Clusters. PVM/MPI 2003: 520-528
Coauthor Index
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