Comparative Analysis of Performance and Quality of Prediction Between ESS and ESS-IM. - Miguel Méndez-Garabetti; Germán Bianchini; María Laura Tardivo; Paola Caymes-Scutari (CLEI Selected Papers, 2014)

Evolutionary-Statistical System: A parallel method for improving forest fire spread prediction. - Germán Bianchini; Paola Caymes-Scutari; Miguel Méndez-Garabetti (J. Comput. Sci., 2015)

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 (HPCS, 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 (SCCC, 2016)

Optimization for an Uncertainty Reduction Method Applied to Forest Fires Spread Prediction. - María Laura Tardivo; Paola Caymes-Scutari; Miguel Méndez-Garabetti; Germán Bianchini (CACIC, 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 (ICCS, 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)

Dynamic Tuning of a Forest Fire Prediction Parallel Method. - Paola Caymes-Scutari; María Laura Tardivo; Germán Bianchini; Miguel Méndez-Garabetti (CACIC, 2019)

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 (JCC-BD&ET, 2021)