| A framework for evaluating land use and land cover classification using convolutional neural networks M Carranza-García, J García-Gutiérrez, JC Riquelme Remote Sensing 11 (3), 274, 2019 | 204 | 2019 |
| On the performance of one-stage and two-stage object detectors in autonomous vehicles using camera data M Carranza-García, J Torres-Mateo, P Lara-Benítez, J García-Gutiérrez Remote Sensing 13 (1), 89, 2020 | 184 | 2020 |
| A comparison of machine learning regression techniques for LiDAR-derived estimation of forest variables J García-Gutiérrez, F Martínez-Álvarez, A Troncoso, JC Riquelme Neurocomputing 167, 24-31, 2015 | 117 | 2015 |
| A comparison of machine learning techniques applied to Landsat-5 TM spectral data for biomass estimation PM López-Serrano, CA López-Sánchez, JG Álvarez-González, ... Canadian Journal of Remote Sensing 42 (6), 690-705, 2016 | 81 | 2016 |
| Quantifying biomass consumption and carbon release from the California Rim fire by integrating airborne LiDAR and Landsat OLI data M Garcia, S Saatchi, A Casas, A Koltunov, S Ustin, C Ramirez, ... Journal of Geophysical Research: Biogeosciences 122 (2), 340-353, 2017 | 59 | 2017 |
| Asynchronous dual-pipeline deep learning framework for online data stream classification P Lara-Benítez, M Carranza-García, J García-Gutiérrez, JC Riquelme Integrated Computer-Aided Engineering 27 (2), 101-119, 2020 | 55 | 2020 |
| Selection of software product line implementation components using recommender systems: An application to wordpress J Rodas-Silva, JA Galindo, J García-Gutiérrez, D Benavides IEEE Access 7, 69226-69245, 2019 | 50 | 2019 |
| External clustering validity index based on chi-squared statistical test JM Luna-Romera, M Martínez-Ballesteros, J García-Gutiérrez, ... Information sciences 487, 1-17, 2019 | 49 | 2019 |
| Evolutionary feature selection to estimate forest stand variables using LiDAR J Garcia-Gutierrez, E Gonzalez-Ferreiro, JC Riquelme-Santos, D Miranda, ... International Journal of Applied Earth Observation and Geoinformation 26 …, 2014 | 47 | 2014 |
| Comparison of ALS based models for estimating aboveground biomass in three types of Mediterranean forest J Guerra-Hernández, EB Görgens, J García-Gutiérrez, LCE Rodriguez, ... European Journal of Remote Sensing 49 (1), 185-204, 2016 | 45 | 2016 |
| Enhancing object detection for autonomous driving by optimizing anchor generation and addressing class imbalance M Carranza-García, P Lara-Benítez, J García-Gutiérrez, JC Riquelme Neurocomputing 449, 229-244, 2021 | 41 | 2021 |
| Modelling stand biomass fractions in Galician Eucalyptus globulus plantations by use of different LiDAR pulse densities EM González-Ferreiro, D Miranda, L Barreiro-Fernández, S Bujan, ... Forest Systems 22 (3), 510-525, 2013 | 37 | 2013 |
| Autoencoded DNA methylation data to predict breast cancer recurrence: Machine learning models and gene-weight significance L Macías-García, M Martínez-Ballesteros, JM Luna-Romera, ... Artificial Intelligence in Medicine 110, 101976, 2020 | 35 | 2020 |
| An approach to validity indices for clustering techniques in big data JM Luna-Romera, J García-Gutiérrez, M Martínez-Ballesteros, ... Progress in Artificial Intelligence 7, 81-94, 2018 | 33 | 2018 |
| STATService: Herramienta de análisis estadístico como soporte para la investigación con Metaheurísticas JA Parejo, J García, A Ruiz-Cortés, JC Riquelme MAEB, 2012 | 32* | 2012 |
| A study of the suitability of autoencoders for preprocessing data in breast cancer experimentation L Macías-García, JM Luna-Romera, J García-Gutiérrez, ... Journal of biomedical informatics 72, 33-44, 2017 | 30 | 2017 |
| An approach to silhouette and dunn clustering indices applied to big data in spark JM Luna-Romera, M del Mar Martinez-Ballesteros, J Garcia-Gutierrez, ... Advances in Artificial Intelligence: 17th Conference of the Spanish …, 2016 | 30 | 2016 |
| An evolutionary-weighted majority voting and support vector machines applied to contextual classification of LiDAR and imagery data fusion J García-Gutiérrez, D Mateos-García, M Garcia, JC Riquelme-Santos Neurocomputing 163, 17-24, 2015 | 30 | 2015 |
| On the evolutionary optimization of k-NN by label-dependent feature weighting D Mateos-García, J García-Gutiérrez, JC Riquelme-Santos Pattern Recognition Letters 33 (16), 2232-2238, 2012 | 26 | 2012 |
| On the evolutionary weighting of neighbours and features in the k-nearest neighbour rule D Mateos-García, J García-Gutiérrez, JC Riquelme-Santos Neurocomputing 326, 54-60, 2019 | 25 | 2019 |
José C. RiquelmeUniversidad de Sevilla在 us.es 的电子邮件经过验证
