Germán Bianchini

Publication Activity (10 Years)

Years Active: 2003-2022
Publications (10 Years): 11

Top Topics

Comparative Study

Remote Sensing Data

Reduction Method

Top Venues

Publications

Jan Strappa, Paola Caymes-Scutari, Germán Bianchini
A Parallel Novelty Search Metaheuristic Applied to a Wildfire Prediction System. IPDPS Workshops (2022)
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) (2022)
Jan Strappa, Paola Caymes-Scutari, Germán Bianchini
A Parallel Novelty Search Metaheuristic Applied to a Wildfire Prediction System. CoRR (2022)
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)
Paola Caymes-Scutari, María Laura Tardivo, Germán Bianchini, Miguel Méndez-Garabetti
Dynamic Tuning of a Forest Fire Prediction Parallel Method. CACIC (2019)
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)
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)
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)
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)
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)
Paola Caymes-Scutari, Germán Bianchini, Anna Sikora, Tomàs Margalef
Environment for automatic development and tuning of parallel applications. HPCS (2016)
Germán Bianchini, Paola Caymes-Scutari, Miguel Méndez-Garabetti
Evolutionary-Statistical System: A parallel method for improving forest fire spread prediction. J. Comput. Sci. 6 (2015)
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)
Germán Bianchini, Paola Caymes-Scutari
Tuned Forest Fire Prediction: Static Calibration of the Evolutionary Component of ESS. CLEI Electron. J. 17 (2) (2014)
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)
Germán Bianchini, Paola Caymes-Scutari
Calibration of the parameters of ESS system for Forest Fire prediction. CLEI (2013)
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) (2012)
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) (2010)
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) (2006)
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)
Germán Bianchini, Ana Cortés, Tomàs Margalef, Emilio Luque, Emilio Chuvieco
Wildland Fire Propagation Danger Maps Based on Factorial Experimentation. ITEE (2005)
Germán Bianchini, Ana Cortés, Tomàs Margalef, Emilio Luque
M - Statistical System for Forest Fire Management. International Conference on Computational Science (1) (2005)
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)
Baker Abdalhaq, Germán Bianchini, Ana Cortés, Tomàs Margalef, Emilio Luque
Improving Wildland Fire Prediction on MPI Clusters. PVM/MPI (2003)