Paola Caymes-Scutari

Publication Activity (10 Years)

Years Active: 2005-2022
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)
Paola Caymes-Scutari, Anna Morajko, Tomàs Margalef, Emilio Luque
A methodology for transparent knowledge specification in a dynamic tuning environment. Softw. Pract. Exp. 42 (3) (2012)
Paola Caymes-Scutari, Anna Morajko, Tomàs Margalef, Emilio Luque
Scalable dynamic Monitoring, Analysis and Tuning Environment for parallel applications. J. Parallel Distributed Comput. 70 (4) (2010)
Paola Caymes-Scutari, Anna Morajko, Tomàs Margalef, Emilio Luque
Automatic Generation of Dynamic Tuning Techniques. Euro-Par (2007)
Anna Morajko, Paola Caymes-Scutari, Tomàs Margalef, Emilio Luque
MATE: Monitoring, Analysis and Tuning Environment for parallel/distributed applications. Concurr. Comput. Pract. Exp. 19 (11) (2007)
Anna Morajko, Eduardo César, Paola Caymes-Scutari, Tomàs Margalef, Joan Sorribes, Emilio Luque
Automatic Tuning of Master/Worker Applications. Euro-Par (2005)
Paola Caymes-Scutari, Anna Morajko, Eduardo César, Genaro Costa, José G. Mesa, Tomàs Margalef, Joan Sorribes, Emilio Luque
Development and Tuning Framework of Master/Worker Applications. Automatic Performance Analysis (2005)
Anna Morajko, Paola Caymes-Scutari, Tomàs Margalef, Emilio Luque
Automatic Tuning of Data Distribution Using Factoring in Master/Worker Applications. International Conference on Computational Science (2) (2005)