Sancho
Salcedo Sanz
Catedrático/a de Universidad
Carlos
Casanova Mateo
Publications by the researcher in collaboration with Carlos Casanova Mateo (42)
2024
2023
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Deep learning ensembles for accurate fog-related low-visibility events forecasting
Neurocomputing, Vol. 549
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Efficient prediction of fog-related low-visibility events with Machine Learning and evolutionary algorithms
Atmospheric Research, Vol. 295
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Extreme Low-Visibility Events Prediction Based on Inductive and Evolutionary Decision Rules: An Explicability-Based Approach
Atmosphere, Vol. 14, Núm. 3
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Machine Learning Classification–Regression Schemes for Desert Locust Presence Prediction in Western Africa
Applied Sciences (Switzerland), Vol. 13, Núm. 14
2022
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Machine learning regression and classification methods for fog events prediction
Atmospheric Research, Vol. 272
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Persistence in complex systems
Physics Reports, Vol. 957, pp. 1-73
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Randomization-based machine learning in renewable energy prediction problems: Critical literature review, new results and perspectives
Applied Soft Computing, Vol. 118
2021
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Long-term persistence, invariant time scales and on-off intermittency of fog events
Atmospheric Research, Vol. 252
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Statistical analysis and machine learning prediction of fog-caused low-visibility events at a-8 motor-road in spain
Atmosphere, Vol. 12, Núm. 6
2020
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Analysis and prediction of dammed water level in a hydropower reservoir using machine learning and persistence-based techniques
Water (Switzerland), Vol. 12, Núm. 6
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Evolutionary artificial neural networks for accurate solar radiation prediction
Energy, Vol. 210
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Ordinal regression algorithms for the analysis of convective situations over Madrid-Barajas airport
Atmospheric Research, Vol. 236
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Persistence analysis and prediction of low-visibility events at valladolid airport, Spain
Symmetry, Vol. 12, Núm. 6, pp. 1-18
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Prediction of convective clouds formation using evolutionary neural computation techniques
Neural Computing and Applications, Vol. 32, Núm. 17, pp. 13917-13929
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Spatio-temporal climate regionalization using a self-organized clustering approach
Theoretical and Applied Climatology, Vol. 140, Núm. 3-4, pp. 927-949
2019
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Downscaling estadístico del servicio CAMS para la predicción de radiación solar global con datos Meteosat y técnicas de aprendizaje máquina
Teledetección: hacia una visión global del cambio climático
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Machine learning regressors for solar radiation estimation from satellite data
Solar Energy, Vol. 183, pp. 768-775
2018
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A mixture of experts model for predicting persistent weather patterns
Proceedings of the International Joint Conference on Neural Networks
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Algoritmos de aprendizaje automático para predicción de niveles de niebla usando ventanas estáticas y dinámicas
XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España