Germán Bianchini

25 papers B 1C 1Misc 4Journal 8Unranked 10

Year	Rank	Type	Title / Venue / Authors
2022	—	`conf`	A Parallel Novelty Search Metaheuristic Applied to a Wildfire Prediction System. IPDPS Workshops Jan Strappa, Paola Caymes-Scutari, Germán Bianchini
2022	J	`jnl`	A Parallel Novelty Search Metaheuristic Applied to a Wildfire Prediction System. CoRR Jan Strappa, Paola Caymes-Scutari, Germán Bianchini
2022	J	`jnl`	Evolutionary Statistical System Based on Novelty Search: A Parallel Metaheuristic for Uncertainty Reduction Applied to Wildfire Spread Prediction. Algorithms Jan Strappa, Paola Caymes-Scutari, Germán Bianchini
2021	—	`conf`	HESS-IM: A Uncertainty Reduction Method that Integrates Remote Sensing Data Applied to Forest Fire Behavior Prediction. JCC-BD&ET Miguel Méndez-Garabetti, Germán Bianchini, Paola Caymes-Scutari
2019	—	`conf`	Dynamic Tuning of a Forest Fire Prediction Parallel Method. CACIC Paola Caymes-Scutari, María Laura Tardivo, Germán Bianchini, Miguel Méndez-Garabetti
2017	Misc	`conf`	A comparative study of evolutionary statistical methods for uncertainty reduction in forest fire propagation prediction. ICCS María Laura Tardivo, Paola Caymes-Scutari, Germán Bianchini, Miguel Méndez-Garabetti, Andrés Cencerrado, Ana Cortés
2017	J	`jnl`	Hierarchical parallel model for improving performance on differential evolution. Concurr. Comput. Pract. Exp. María Laura Tardivo, Paola Caymes-Scutari, Germán Bianchini, Miguel Méndez-Garabetti
2017	—	`conf`	Optimization for an Uncertainty Reduction Method Applied to Forest Fires Spread Prediction. CACIC María Laura Tardivo, Paola Caymes-Scutari, Miguel Méndez-Garabetti, Germán Bianchini
2016	—	`conf`	ESS-IM applied to forest fire spread prediction: Parameters tuning for a heterogeneous configuration. SCCC Miguel Méndez-Garabetti, Germán Bianchini, Paola Caymes-Scutari, María Laura Tardivo
2016	—	`conf`	Environment for automatic development and tuning of parallel applications. HPCS Paola Caymes-Scutari, Germán Bianchini, Anna Sikora, Tomàs Margalef
2016	—	`conf`	Three evolutionary statistical parallel methods for uncertainty reduction in wildland fire prediction. HPCS María Laura Tardivo, Paola Caymes-Scutari, Germán Bianchini, Miguel Méndez-Garabetti, Ana Cortés
2015	J	`jnl`	Evolutionary-Statistical System: A parallel method for improving forest fire spread prediction. J. Comput. Sci. Germán Bianchini, Paola Caymes-Scutari, Miguel Méndez-Garabetti
2014	—	`conf`	Comparative Analysis of Performance and Quality of Prediction Between ESS and ESS-IM. CLEI Selected Papers Miguel Méndez-Garabetti, Germán Bianchini, María Laura Tardivo, Paola Caymes-Scutari
2014	J	`jnl`	Tuned Forest Fire Prediction: Static Calibration of the Evolutionary Component of ESS. CLEI Electron. J. Germán Bianchini, Paola Caymes-Scutari
2013	C	`conf`	Calibration of the parameters of ESS system for Forest Fire prediction. CLEI Germán Bianchini, Paola Caymes-Scutari
2013	Misc	`conf`	Estimation of Volume Rendering Efficiency with GPU in a Parallel Distributed Environment. ICCS Cristian Federico Perez Montea, Fabiana Piccoli, Cristian Luciano, Silvio H. R. Rizzi, Germán Bianchini, Paola Caymes-Scutari
2012	J	`jnl`	Dynamic Data-Driven Genetic Algorithm for forest fire spread prediction. J. Comput. Sci. Mónica Denham, Kerstin Wendt, Germán Bianchini, Ana Cortés, Tomàs Margalef
2010	J	`jnl`	Wildland fire growth prediction method based on Multiple Overlapping Solution. J. Comput. Sci. Germán Bianchini, Mónica Denham, Ana Cortés, Tomàs Margalef, Emilio Luque
2006	J	`jnl`	Between classical and ideal: enhancing wildland fire prediction using cluster computing. Clust. Comput. Baker Abdalhaq, Ana Cortés, Tomàs Margalef, Germán Bianchini, Emilio Luque
2006	Misc	`conf`	Improved Prediction Methods for Wildfires Using High Performance Computing: A Comparison. International Conference on Computational Science (1) Germán Bianchini, Ana Cortés, Tomàs Margalef, Emilio Luque
2006	—	`—`	Wildland Fire Prediction based on Statistical Analysis of Multiple Solutions. Germán Bianchini
2005	Misc	`conf`	S International Conference on Computational Science (1) Germán Bianchini, Ana Cortés, Tomàs Margalef, Emilio Luque
2005	—	`conf`	Wildland Fire Propagation Danger Maps Based on Factorial Experimentation. ITEE Germán Bianchini, Ana Cortés, Tomàs Margalef, Emilio Luque, Emilio Chuvieco
2004	B	`conf`	Graduate students learning strategies through research collaboration. ITiCSE Eduardo Argollo, Mauricio Hanzich, Diego Mostaccio, Germán Bianchini, Paula Cecilia Fritzsche, Ferran Bonàs, Emilio Luque, Juan C. Moure, Dolores Rexachs
2003	—	`conf`	Improving Wildland Fire Prediction on MPI Clusters. PVM/MPI Baker Abdalhaq, Germán Bianchini, Ana Cortés, Tomàs Margalef, Emilio Luque