Sancho
Salcedo Sanz
Catedrático/a de Universidad
Enrique
Alexandre Cortizo
Profesor/a Titular Universidad
Publicacions en què col·labora amb Enrique Alexandre Cortizo (17)
2022
-
Analysis of Machine Learning Approaches’ Performance in Prediction Problems with Human Activity Patterns
Mathematics, Vol. 10, Núm. 13
2019
-
A study on the impact of easements in the deployment of wind farms near airport facilities
Renewable Energy, Vol. 135, pp. 566-588
-
Near-optimal selection of representative measuring points for robust temperature field reconstruction with the CRO-SL and analogue methods
Global and Planetary Change, Vol. 178, pp. 15-34
2018
-
Wind power field reconstruction from a reduced set of representative measuring points
Applied Energy, Vol. 228, pp. 1111-1121
2017
-
A review of computational intelligence algorithms in insurance applications
Mathematical Research Summaries (Nova Science Publishers, Inc.), pp. 33-34
-
Hybridizing Cartesian Genetic Programming and Harmony Search for adaptive feature construction in supervised learning problems
Applied Soft Computing Journal, Vol. 52, pp. 760-770
2016
-
A grouping genetic algorithm - Extreme learning machine approach for optimal wave energy prediction
2016 IEEE Congress on Evolutionary Computation, CEC 2016
-
A review of classification problems and algorithms in renewable energy applications
Energies, Vol. 9, Núm. 8
-
Accurate estimation of significant wave height with Support Vector Regression algorithms and marine radar images
Coastal Engineering, Vol. 114, pp. 233-243
-
Computational intelligence in wave energy: Comprehensive review and case study
Renewable and Sustainable Energy Reviews, Vol. 58, pp. 1223-1246
2015
-
A hybrid genetic algorithm-extreme learning machine approach for accurate significant wave height reconstruction
Ocean Modelling, Vol. 92, pp. 115-123
-
Energy flux range classification by using a dynamic window autoregressive model
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
-
Hybridizing Extreme Learning Machines and Genetic Algorithms to select acoustic features in vehicle classification applications
Neurocomputing, Vol. 152, pp. 58-68
-
Significant wave height and energy flux range forecast with machine learning classifiers
Engineering Applications of Artificial Intelligence, Vol. 43, pp. 44-53
-
Significant wave height estimation using SVR algorithms and shadowing information from simulated and real measured X-band radar images of the sea surface
Ocean Engineering, Vol. 101, pp. 244-253
2014
-
Soft-Computing: An innovative technological solution for urban traffic-related problems in modern cities
Technological Forecasting and Social Change, Vol. 89, pp. 236-244
2013
-
A review of computational intelligence algorithms in insurance applications
Statistical and Soft Computing Approaches in Insurance Problems (Nova Science Publishers, Inc.), pp. 1-49