| Performance evaluation of edge-computing platforms for the prediction of low temperatures in agriculture using deep learning MA Guillén, A Llanes, B Imbernón, R Martínez-España, A Bueno-Crespo, ... The Journal of Supercomputing 77, 818-840, 2021 | 99 | 2021 |
| Coupling machine-learning techniques with SWAT model for instantaneous peak flow prediction J Senent-Aparicio, P Jimeno-Sáez, A Bueno-Crespo, J Pérez-Sánchez, ... Biosystems engineering 177, 67-77, 2019 | 76 | 2019 |
| Early-stage atherosclerosis detection using deep learning over carotid ultrasound images RM Menchón-Lara, JL Sancho-Gómez, A Bueno-Crespo Applied Soft Computing 49, 616-628, 2016 | 76 | 2016 |
| Air-pollution prediction in smart cities through machine learning methods: A Case of study in Murcia, Spain. R Martínez-España, A Bueno-Crespo, IM Timon-Perez, JA Soto, A Munoz, ... J. Univers. Comput. Sci. 24 (3), 261-276, 2018 | 66 | 2018 |
| Evaluation of machine learning methods with Fourier Transform features for classifying ovarian tumors based on ultrasound images J Martínez-Más, A Bueno-Crespo, S Khazendar, M Remezal-Solano, ... PLoS One 14 (7), e0219388, 2019 | 60 | 2019 |
| Towards the interpretability of machine learning predictions for medical applications targeting personalised therapies: a cancer case survey AJ Banegas-Luna, J Peña-García, A Iftene, F Guadagni, P Ferroni, ... International Journal of Molecular Sciences 22 (9), 4394, 2021 | 56 | 2021 |
| Improving prediction of COVID-19 evolution by fusing epidemiological and mobility data S García-Cremades, J Morales-García, R Hernández-Sanjaime, ... Scientific Reports 11 (1), 15173, 2021 | 47 | 2021 |
| Neural architecture design based on extreme learning machine A Bueno-Crespo, PJ García-Laencina, JL Sancho-Gómez Neural Networks 48, 19-24, 2013 | 45 | 2013 |
| Classifying Papanicolaou cervical smears through a cell merger approach by deep learning technique J Martinez-Mas, A Bueno-Crespo, R Martinez-Espana, ... Expert Systems with Applications 160, 113707, 2020 | 32 | 2020 |
| A deep learning model to predict lower temperatures in agriculture MA Guillén-Navarro, R Martínez-España, A Llanes, A Bueno-Crespo, ... Journal of Ambient Intelligence and Smart Environments 12 (1), 21-34, 2020 | 31 | 2020 |
| Developing an intelligent system for the prediction of soil properties with a portable mid-infrared instrument R Martínez-España, A Bueno-Crespo, J Soto, LJ Janik, JM Soriano-Disla Biosystems Engineering 177, 101-108, 2019 | 31 | 2019 |
| Sound levels forecasting in an acoustic sensor network using a deep neural network JM Navarro, R Martínez-España, A Bueno-Crespo, R Martínez, JM Cecilia Sensors 20 (3), 903, 2020 | 26 | 2020 |
| A decision support system for water optimization in anti-frost techniques by sprinklers MA Guillén-Navarro, R Martínez-España, A Bueno-Crespo, ... Sensors 20 (24), 7129, 2020 | 23 | 2020 |
| Heart health risk assessment system: a nonintrusive proposal using ontologies and expert rules T Garcia-Valverde, A Muñoz, F Arcas, A Bueno-Crespo, A Caballero BioMed research international 2014 (1), 959645, 2014 | 20 | 2014 |
| METADOCK 2: a high-throughput parallel metaheuristic scheme for molecular docking B Imbernón, A Serrano, A Bueno-Crespo, JL Abellán, H Pérez-Sánchez, ... Bioinformatics 37 (11), 1515-1520, 2021 | 19 | 2021 |
| Extreme learning machine-based prediction of uptake of pharmaceuticals in reclaimed water-irrigated lettuces in the Region of Murcia, Spain MG García, C Fernández-López, A Bueno-Crespo, R Martínez-España Biosystems Engineering 177, 78-89, 2019 | 17 | 2019 |
| QN-Docking: An innovative molecular docking methodology based on Q-Networks A Serrano, B Imbernón, H Pérez-Sánchez, JM Cecilia, A Bueno-Crespo, ... Applied Soft Computing 96, 106678, 2020 | 14 | 2020 |
| Multi-objective optimal design of submerged arches using extreme learning machine and evolutionary algorithms AM Hernández-Díaz, A Bueno-Crespo, J Pérez-Aracil, JM Cecilia Applied Soft Computing 71, 826-834, 2018 | 13 | 2018 |
| Evaporation forecasting through interpretable data analysis techniques MC Garrido, JM Cadenas, A Bueno-Crespo, R Martínez-España, ... Electronics 11 (4), 536, 2022 | 11 | 2022 |
| Evaluation of synthetic data generation for intelligent climate control in greenhouses J Morales-García, A Bueno-Crespo, F Terroso-Sáenz, F Arcas-Túnez, ... Applied Intelligence 53 (21), 24765-24781, 2023 | 10 | 2023 |
