Miguel Méndez-Garabetti

According to our database, Miguel Méndez-Garabetti authored at least 9 papers between 2014 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2021

HESS-IM: A Uncertainty Reduction Method that Integrates Remote Sensing Data Applied to Forest Fire Behavior Prediction.

Miguel Méndez-Garabetti, Germán Bianchini, Paola Caymes-Scutari

Proceedings of the Cloud Computing, Big Data & Emerging Topics - 9th Conference, 2021

2019

Dynamic Tuning of a Forest Fire Prediction Parallel Method.

Paola Caymes-Scutari, María Laura Tardivo, Germán Bianchini, Miguel Méndez-Garabetti

Proceedings of the Computer Science - CACIC 2019, 2019

2017

Hierarchical parallel model for improving performance on differential evolution.

María Laura Tardivo, Paola Caymes-Scutari, Germán Bianchini, Miguel Méndez-Garabetti

Concurr. Comput. Pract. Exp., 2017

A comparative study of evolutionary statistical methods for uncertainty reduction in forest fire propagation prediction.

María Laura Tardivo, Paola Caymes-Scutari, Germán Bianchini, Miguel Méndez-Garabetti, Andrés Cencerrado, Ana Cortés

Proceedings of the International Conference on Computational Science, 2017

Optimization for an Uncertainty Reduction Method Applied to Forest Fires Spread Prediction.

María Laura Tardivo, Paola Caymes-Scutari, Miguel Méndez-Garabetti, Germán Bianchini

Proceedings of the Computer Science - CACIC 2017, 2017

2016

ESS-IM applied to forest fire spread prediction: Parameters tuning for a heterogeneous configuration.

Miguel Méndez-Garabetti, Germán Bianchini, Paola Caymes-Scutari, María Laura Tardivo

Proceedings of the 35th International Conference of the Chilean Computer Science Society, 2016

Three evolutionary statistical parallel methods for uncertainty reduction in wildland fire prediction.

María Laura Tardivo, Paola Caymes-Scutari, Germán Bianchini, Miguel Méndez-Garabetti, Ana Cortés

Proceedings of the International Conference on High Performance Computing & Simulation, 2016

2015

Evolutionary-Statistical System: A parallel method for improving forest fire spread prediction.

Germán Bianchini, Paola Caymes-Scutari, Miguel Méndez-Garabetti

J. Comput. Sci., 2015

2014

Comparative Analysis of Performance and Quality of Prediction Between ESS and ESS-IM.

Miguel Méndez-Garabetti, Germán Bianchini, María Laura Tardivo, Paola Caymes-Scutari

Proceedings of the XL Latin American Computer Conference - Selected Papers, 2014