Daniel
Mateos García
Universidad de Sevilla
Sevilla, EspañaPublications en collaboration avec des chercheurs de Universidad de Sevilla (11)
2023
2019
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On the evolutionary weighting of neighbours and features in the k-nearest neighbour rule
Neurocomputing, Vol. 326-327, pp. 54-60
2016
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A preliminary study of the suitability of deep learning to improve LiDAR-derived biomass estimation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2015
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An evolutionary-weighted majority voting and support vector machines applied to contextual classification of LiDAR and imagery data fusion
Neurocomputing, Vol. 163, pp. 17-24
2012
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A non-parametric approach for accurate contextual classification of LIDAR and imagery data fusion
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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On the evolutionary optimization of k-NN by label-dependent feature weighting
Pattern Recognition Letters, Vol. 33, Núm. 16, pp. 2232-2238
2011
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A comparative study between two regression methods on LiDAR data: A case study
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2010
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A SVM and k-NN restricted stacking to improve land use and land cover classification
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2004
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Evolutionary segmentation of yeast genome
Proceedings of the ACM Symposium on Applied Computing
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Statistical test-based evolutionary segmentation of yeast genome
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 3102, pp. 493-494
2003
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Evolutionary neuroestimation of fitness functions
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 2902, pp. 74-83