Jorge
García Gutiérrez
Publications by the researcher in collaboration with Jorge García Gutiérrez (31)
2023
2022
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Concept Drift Detection to Improve Time Series Forecasting of Wind Energy Generation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2021
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Enhancing object detection for autonomous driving by optimizing anchor generation and addressing class imbalance
Neurocomputing, Vol. 449, pp. 229-244
2020
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Asynchronous dual-pipeline deep learning framework for online data stream classification
Integrated Computer-Aided Engineering, Vol. 27, Núm. 2, pp. 101-119
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Autoencoded DNA methylation data to predict breast cancer recurrence: Machine learning models and gene-weight significance
Artificial Intelligence in Medicine, Vol. 110
2019
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A framework for evaluating land use and land cover classification using convolutional neural networks
Remote Sensing, Vol. 11, Núm. 3
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External clustering validity index based on chi-squared statistical test
Information Sciences, Vol. 487, pp. 1-17
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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
2018
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An approach to validity indices for clustering techniques in Big Data
Progress in Artificial Intelligence, Vol. 7, Núm. 2, pp. 81-94
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Aproximación al índice externo de validación de clustering basado en chi cuadrado
XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España
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Contadores inteligentes: ahorros potenciales para el consumidor
Revista DYNA, Vol. 93, Núm. 3, pp. 244-244
2017
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A study of the suitability of autoencoders for preprocessing data in breast cancer experimentation
Journal of Biomedical Informatics, Vol. 72, pp. 33-44
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)
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An approach to silhouette and dunn clustering indices applied to big data in spark
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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An evolutionary voting for k-nearest neighbours
Expert Systems with Applications, Vol. 43, pp. 9-14
2015
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A comparison of machine learning regression techniques for LiDAR-derived estimation of forest variables
Neurocomputing, Vol. 167, pp. 24-31
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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
2014
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A comparative study of machine learning regression methods on LiDAR data: A case study
Advances in Intelligent Systems and Computing
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Evolutionary feature selection to estimate forest stand variables using LiDAR
International Journal of Applied Earth Observation and Geoinformation, Vol. 26, Núm. 1, pp. 119-131
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Improving the k-nearest neighbour rule by an evolutionary voting approach
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)