A. Cencerrado

发表

Augmented Reality: an Emerging Field in Pediatric Psycho-oncology Requiring Research

C. Castellano-Tejedor, A. Cencerrado, 2019 .

Psychological impact in the time of COVID-19: A cross-sectional population survey study during confinement

C. Castellano-Tejedor, A. Cencerrado, María Torres-Serrano, 2021, Journal of health psychology.

(Mis)Information, Fears and Preventative Health Behaviours Related to COVID-19

C. Castellano-Tejedor, A. Cencerrado, María Torres-Serrano, 2022, International journal of environmental research and public health.

Response time assessment in forest fire spread simulation: An integrated methodology for efficient exploitation of available prediction time

Tomàs Margalef, Ana Cortés, Andrés Cencerrado, 2014, Environ. Model. Softw..

Real-time genetic spatial optimization to improve forest fire spread forecasting in high-performance computing environments

Tomàs Margalef, Ana Cortés, Andrés Cencerrado, 2016, Int. J. Geogr. Inf. Sci..

Time aware genetic algorithm for forest fire propagation prediction: exploiting multi‐core platforms

Tomàs Margalef, Ana Cortés, Andrés Cencerrado, 2017, Concurr. Comput. Pract. Exp..

Enhancing computational efficiency on forest fire forecasting by time-aware Genetic Algorithms

A. Cortés, T. Artés, T. Margalef, 2015, The Journal of Supercomputing.

Applying GPU parallel technology to accelerate FARSITE forest fire simulator

Tomàs Margalef, Ana Cortés, Carlos Carrillo, 2018 .

Enhancing computational efficiency on forest fire forecasting by time-aware Genetic Algorithms

Tomàs Margalef, Ana Cortés, Andrés Cencerrado, 2014, The Journal of Supercomputing.

Relieving the Effects of Uncertainty in Forest Fire Spread Prediction by Hybrid MPI-OpenMP Parallel Strategies

Tomàs Margalef, Ana Cortés, Andrés Cencerrado, 2013, ICCS.

Relieving Uncertainty in Forest Fire Spread Prediction by Exploiting Multicore Architectures

Tomàs Margalef, Ana Cortés, Andrés Cencerrado, 2015, ICCS.

CrossBroker: A Grid Metascheduler for Interactive and Parallel Jobs

Elisa Heymann, Miquel A. Senar, Andrés Cencerrado, 2008, Comput. Informatics.

A comparative study of evolutionary statistical methods for uncertainty reduction in forest fire propagation prediction

María Laura Tardivo, Paola Caymes-Scutari, Germán Bianchini, 2017, ICCS.

Applying Probability Theory for the Quality Assessment of a Wildfire Spread Prediction Framework Based on Genetic Algorithms

Tomàs Margalef, Ana Cortés, Andrés Cencerrado, 2013, TheScientificWorldJournal.

Support for Urgent Computing Based on Resource Virtualization

Ana Cortés, Miquel A. Senar, Andrés Cencerrado, 2009, ICCS.

Impact of I/O and Data Management in Ensemble Large Scale Climate Forecasting Using EC-Earth3

Ana Cortés, Andrés Cencerrado, Muhammad Asif, 2014, ICCS.

Core Allocation Policies on Multicore Platforms to Accelerate Forest Fire Spread Predictions

Tomàs Margalef, Ana Cortés, Andrés Cencerrado, 2013, PPAM.

Towards a Dynamic Data Driven Wildfire Behavior Prediction System at European Level

Tomàs Margalef, Ana Cortés, Andrés Cencerrado, 2014, ICCS.

Early Adaptive Evaluation Scheme for Data-Driven Calibration in Forest Fire Spread Prediction

Tomàs Margalef, Ana Cortés, Edigley Fraga, 2020, ICCS.

Unveiling Associations of COVID-19 Vaccine Acceptance, Hesitancy, and Resistance: A Cross-Sectional Community-Based Adult Survey

C. Castellano-Tejedor, A. Cencerrado, María Torres-Serrano, 2021, International journal of environmental research and public health.

Genetic Algorithm Characterization for the Quality Assessment of Forest Fire Spread Prediction

Tomàs Margalef, Ana Cortés, Andrés Cencerrado, 2012, ICCS.

On the Way of Applying Urgent Computing Solutions to Forest Fire Propagation Prediction

Tomàs Margalef, Ana Cortés, Andrés Cencerrado, 2012, ICCS.

Prediction Time Assessment in a DDDAS for Natural Hazard Management: Forest Fire Study CaseI

Tomàs Margalef, Ana Cortés, Andrés Cencerrado, 2011, ICCS.