Germán Bianchini

According to our database, Germán Bianchini authored at least 24 papers between 2003 and 2022.

Collaborative distances:

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

2022

Evolutionary Statistical System Based on Novelty Search: A Parallel Metaheuristic for Uncertainty Reduction Applied to Wildfire Spread Prediction.

Jan Strappa, Paola Caymes-Scutari, Germán Bianchini

Algorithms, 2022

A Parallel Novelty Search Metaheuristic Applied to a Wildfire Prediction System.

Jan Strappa, Paola Caymes-Scutari, Germán Bianchini

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

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

Environment for automatic development and tuning of parallel applications.

Paola Caymes-Scutari, Germán Bianchini, Anna Sikora, Tomàs Margalef

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

Tuned Forest Fire Prediction: Static Calibration of the Evolutionary Component of ESS.

Germán Bianchini, Paola Caymes-Scutari

CLEI Electron. J., 2014

2013

Estimation of Volume Rendering Efficiency with GPU in a Parallel Distributed Environment.

Cristian Federico Perez Montea, Fabiana Piccoli, Cristian Luciano, Silvio H. R. Rizzi, Germán Bianchini, Paola Caymes-Scutari

Proceedings of the International Conference on Computational Science, 2013

Calibration of the parameters of ESS system for Forest Fire prediction.

Germán Bianchini, Paola Caymes-Scutari

Proceedings of the 2013 XXXIX Latin American Computing Conference (CLEI), 2013

2012

Dynamic Data-Driven Genetic Algorithm for forest fire spread prediction.

Mónica Denham, Kerstin Wendt, Germán Bianchini, Ana Cortés, Tomàs Margalef

J. Comput. Sci., 2012

2010

Wildland fire growth prediction method based on Multiple Overlapping Solution.

Germán Bianchini, Mónica Denham, Ana Cortés, Tomàs Margalef, Emilio Luque

J. Comput. Sci., 2010

2006

Wildland Fire Prediction based on Statistical Analysis of Multiple Solutions.

Germán Bianchini

PhD thesis, 2006

Between classical and ideal: enhancing wildland fire prediction using cluster computing.

Baker Abdalhaq, Ana Cortés, Tomàs Margalef, Germán Bianchini, Emilio Luque

Clust. Comput., 2006

Improved Prediction Methods for Wildfires Using High Performance Computing: A Comparison.

Germán Bianchini, Ana Cortés, Tomàs Margalef, Emilio Luque

Proceedings of the Computational Science, 2006

2005

Wildland Fire Propagation Danger Maps Based on Factorial Experimentation.

Germán Bianchini, Ana Cortés, Tomàs Margalef, Emilio Luque, Emilio Chuvieco

Proceedings of the ITEE 2005, 2005

S²F²M - Statistical System for Forest Fire Management.

Germán Bianchini, Ana Cortés, Tomàs Margalef, Emilio Luque

Proceedings of the Computational Science, 2005

2004

Graduate students learning strategies through research collaboration.

Eduardo Argollo, Mauricio Hanzich, Diego Mostaccio, Germán Bianchini, Paula Cecilia Fritzsche, Ferran Bonàs, Emilio Luque, Juan C. Moure, Dolores Rexachs

Proceedings of the 9th Annual SIGCSE Conference on Innovation and Technology in Computer Science Education, 2004

2003

Improving Wildland Fire Prediction on MPI Clusters.

Baker Abdalhaq, Germán Bianchini, Ana Cortés, Tomàs Margalef, Emilio Luque

Proceedings of the Recent Advances in Parallel Virtual Machine and Message Passing Interface,10th European PVM/MPI Users' Group Meeting, Venice, Italy, September 29, 2003