Enrique
Alexandre Cortizo
Profesor/a Titular Universidad
Publications (61) Enrique Alexandre Cortizo publications
2022
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Analysis of Machine Learning Approaches’ Performance in Prediction Problems with Human Activity Patterns
Mathematics, Vol. 10, Núm. 13
2019
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A study on the impact of easements in the deployment of wind farms near airport facilities
Renewable Energy, Vol. 135, pp. 566-588
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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
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Wind power field reconstruction from a reduced set of representative measuring points
Applied Energy, Vol. 228, pp. 1111-1121
2017
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A review of computational intelligence algorithms in insurance applications
Mathematical Research Summaries (Nova Science Publishers, Inc.), pp. 33-34
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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
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A grouping genetic algorithm - Extreme learning machine approach for optimal wave energy prediction
2016 IEEE Congress on Evolutionary Computation, CEC 2016
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A review of classification problems and algorithms in renewable energy applications
Energies, Vol. 9, Núm. 8
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Accurate estimation of significant wave height with Support Vector Regression algorithms and marine radar images
Coastal Engineering, Vol. 114, pp. 233-243
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Computational intelligence in wave energy: Comprehensive review and case study
Renewable and Sustainable Energy Reviews, Vol. 58, pp. 1223-1246
2015
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A hybrid genetic algorithm-extreme learning machine approach for accurate significant wave height reconstruction
Ocean Modelling, Vol. 92, pp. 115-123
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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)
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Hybridizing Extreme Learning Machines and Genetic Algorithms to select acoustic features in vehicle classification applications
Neurocomputing, Vol. 152, pp. 58-68
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Significant wave height and energy flux range forecast with machine learning classifiers
Engineering Applications of Artificial Intelligence, Vol. 43, pp. 44-53
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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
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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
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A review of computational intelligence algorithms in insurance applications
Statistical and Soft Computing Approaches in Insurance Problems (Nova Science Publishers, Inc.), pp. 1-49
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Combination of growing and pruning algorithms for multilayer perceptrons for speech/music/noise classification in digital hearing aids
134th Audio Engineering Society Convention 2013
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Speech enhancement in noisy environments in hearing aids driven by a tailored gain function based on a Gaussian mixture model
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2012
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Enhancing the energy efficiency of wireless-communicated binaural hearing aids for speech separation driven by soft-computing algorithms
Applied Soft Computing Journal, Vol. 12, Núm. 7, pp. 1939-1949