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ORCIDMiguel Méndez-Garabetti
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2020 – today
- 2021
[c7]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
- [c6]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
- [j2]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) - [c5]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 - [c4]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
- [c3]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 - [c2]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
- [j1]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
- [c1]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
Coauthor Index
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