Jorge García-Gutiérrez
Orcid: 0000-0002-1300-4647
According to our database1,
Jorge García-Gutiérrez
authored at least 32 papers
between 2007 and 2022.
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Bibliography
2022
Concept Drift Detection to Improve Time Series Forecasting of Wind Energy Generation.
Proceedings of the Hybrid Artificial Intelligent Systems - 17th International Conference, 2022
2021
On the Performance of One-Stage and Two-Stage Object Detectors in Autonomous Vehicles Using Camera Data.
Remote. Sens., 2021
Enhancing object detection for autonomous driving by optimizing anchor generation and addressing class imbalance.
Neurocomputing, 2021
2020
Asynchronous dual-pipeline deep learning framework for online data stream classification.
Integr. Comput. Aided Eng., 2020
Autoencoded DNA methylation data to predict breast cancer recurrence: Machine learning models and gene-weight significance.
Artif. Intell. Medicine, 2020
2019
A Framework for Evaluating Land Use and Land Cover Classification Using Convolutional Neural Networks.
Remote. Sens., 2019
Inf. Sci., 2019
On the evolutionary weighting of neighbours and features in the k-nearest neighbour rule.
Neurocomputing, 2019
Selection of Software Product Line Implementation Components Using Recommender Systems: An Application to Wordpress.
IEEE Access, 2019
RESDEC: online management tool for implementation components selection in software product lines using recommender systems.
Proceedings of the 23rd International Systems and Software Product Line Conference, 2019
2018
Prog. Artif. Intell., 2018
2017
A study of the suitability of autoencoders for preprocessing data in breast cancer experimentation.
J. Biomed. Informatics, 2017
2016
Improving models for environmental applications of LiDAR: Novel approaches based on soft computing.
AI Commun., 2016
A Preliminary Study of the Suitability of Deep Learning to Improve LiDAR-Derived Biomass Estimation.
Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016
Proceedings of the Advances in Artificial Intelligence, 2016
2015
A comparison of machine learning regression techniques for LiDAR-derived estimation of forest variables.
Neurocomputing, 2015
An evolutionary-weighted majority voting and support vector machines applied to contextual classification of LiDAR and imagery data fusion.
Neurocomputing, 2015
2014
Int. J. Appl. Earth Obs. Geoinformation, 2014
Proceedings of the Hybrid Artificial Intelligence Systems - 9th International Conference, 2014
2013
A Comparative Study of Machine Learning Regression Methods on LiDAR Data: A Case Study.
Proceedings of the International Joint Conference SOCO'13-CISIS'13-ICEUTE'13, 2013
2012
Pattern Recognit. Lett., 2012
Neurocomputing, 2012
A Non-parametric Approach for Accurate Contextual Classification of LIDAR and Imagery Data Fusion.
Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012
2011
Automatic environmental quality assessment for mixed-land zones using lidar and intelligent techniques.
Expert Syst. Appl., 2011
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011
Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011
2010
Using Remote Data Mining on LIDAR and Imagery Fusion Data to Develop Land Cover Maps.
Proceedings of the Trends in Applied Intelligent Systems, 2010
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010
A SVM and k-NN Restricted Stacking to Improve Land Use and Land Cover Classification.
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010
2007
Proceedings of the Intelligent Data Engineering and Automated Learning, 2007
Proceedings of the Intelligent Data Engineering and Automated Learning, 2007