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Andrés Bueno-Crespo
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2020 – today
- 2024
- [c14]Andrés Bueno-Crespo, Raquel Martínez-España, Juan Morales-García, Ana Ortiz-González, Baldomero Imbernón, José Martínez-Más, Daniel Rosique-Egea, Mauricio A. Álvarez:
Diagnosis of Cervical Cancer Using a Deep Learning Explainable Fusion Model. IWINAC (2) 2024: 451-460 - 2023
- [j19]Juan Morales-García, Andrés Bueno-Crespo, Fernando Terroso-Sáenz, Francisco Arcas-Túnez, Raquel Martínez-España, José M. Cecilia:
Evaluation of synthetic data generation for intelligent climate control in greenhouses. Appl. Intell. 53(21): 24765-24781 (2023) - [j18]Juan Morales-García, Andrés Bueno-Crespo, Raquel Martínez-España, Francisco J. García, Sergio Ros, Julio Fernández-Pedauye, José M. Cecilia:
SEPARATE: A tightly coupled, seamless IoT infrastructure for deploying AI algorithms in smart agriculture environments. Internet Things 22: 100734 (2023) - [j17]Juan Morales-García, Andrés Bueno-Crespo, Raquel Martínez-España, José M. Cecilia:
Data-driven evaluation of machine learning models for climate control in operational smart greenhouses. J. Ambient Intell. Smart Environ. 15(1): 3-17 (2023) - [j16]Juan Morales-García, Andrés Bueno-Crespo, Raquel Martínez-España, Juan-Luis Posadas, Pietro Manzoni, José M. Cecilia:
Evaluation of low-power devices for smart greenhouse development. J. Supercomput. 79(9): 10277-10299 (2023) - [c13]Andrés Muñoz, Raquel Martínez-España, Gabriel Guerrero-Contreras, Sara Balderas-Díaz, Andrés Bueno-Crespo:
A real-time traffic alert system based on image recognition: A case of study in Spain. IE 2023: 1-7 - [c12]Fernando Terroso-Saenz, Andrés Bueno-Crespo, Andrés Muñoz, Raquel Martínez-España:
Preface to the Proceedings of the 3rd International Workshop on Artificial Intelligence and Machine Learning for Emerging Topics (ALLEGET'23). Intelligent Environments (Workshops) 2023: 47-48 - 2022
- [c11]Andrés Muñoz, Raquel Martínez-España, Fernando Terroso-Saenz, Andrés Bueno-Crespo:
Preface to the Proceedings of ALLEGET'22. Intelligent Environments (Workshops) 2022: 167 - 2021
- [j15]Baldomero Imbernón, Antonio Serrano, Andrés Bueno-Crespo, José L. Abellán, Horacio Pérez Sánchez, José M. Cecilia:
METADOCK 2: a high-throughput parallel metaheuristic scheme for molecular docking. Bioinform. 37(11): 1515-1520 (2021) - [j14]Miguel Ángel Guillén, Antonio Llanes, Baldomero Imbernón, Raquel Martínez-España, Andrés Bueno-Crespo, Juan-Carlos Cano, José M. Cecilia:
Performance evaluation of edge-computing platforms for the prediction of low temperatures in agriculture using deep learning. J. Supercomput. 77(1): 818-840 (2021) - [c10]Raquel Martínez-España, Andrés Bueno-Crespo, Fernando Terroso-Saenz, Andrés Muñoz:
Preface to the Proceedings of 1st International Workshop on Artificial Intelligence and Machine Learning for Emerging Topics (ALLEGET'21). Intelligent Environments (Workshops) 2021: 223-224 - [c9]Francesco Dall'Occo, Andrés Bueno-Crespo, José L. Abellán, Davide Bertozzi, Michele Favalli:
The Challenge of Classification Confidence Estimation in Dynamically-Adaptive Neural Networks. SAMOS 2021: 505-522 - 2020
- [j13]Antonio Serrano, Baldomero Imbernón, Horacio Pérez Sánchez, José M. Cecilia, Andrés Bueno-Crespo, José L. Abellán:
QN-Docking: An innovative molecular docking methodology based on Q-Networks. Appl. Soft Comput. 96: 106678 (2020) - [j12]José Martínez-Más, Andrés Bueno-Crespo, Raquel Martínez-España, Manuel Remezal-Solano, Ana Ortiz-González, Sebastián Ortiz-Reina, Juan-Pedro Martínez-Cendán:
Classifying Papanicolaou cervical smears through a cell merger approach by deep learning technique. Expert Syst. Appl. 160: 113707 (2020) - [j11]Miguel A. Guillén-Navarro, Raquel Martínez-España, Antonio Llanes, Andrés Bueno-Crespo, José M. Cecilia:
A deep learning model to predict lower temperatures in agriculture. J. Ambient Intell. Smart Environ. 12(1): 21-34 (2020) - [j10]Juan M. Navarro, Raquel Martínez-España, Andrés Bueno-Crespo, Ramón Martínez, José M. Cecilia:
Sound Levels Forecasting in an Acoustic Sensor Network Using a Deep Neural Network. Sensors 20(3): 903 (2020) - [j9]Miguel A. Guillén-Navarro, Raquel Martínez-España, Andrés Bueno-Crespo, Juan Morales-García, Belén Ayuso, José M. Cecilia:
A Decision Support System for Water Optimization in Anti-Frost Techniques by Sprinklers. Sensors 20(24): 7129 (2020) - [i1]Antonio-Jesús Banegas-Luna, Jorge Peña-García, Adrian Iftene, Fiorella Guadagni, Patrizia Ferroni, Noemi Scarpato, Fabio Massimo Zanzotto, Andrés Bueno-Crespo, Horacio Pérez Sánchez:
When will the mist clear? On the Interpretability of Machine Learning for Medical Applications: a survey. CoRR abs/2010.00353 (2020)
2010 – 2019
- 2019
- [c8]M. Ángel Guillén-Navarro, Raquel Martínez-España, Andrés Bueno-Crespo, Belén Ayuso, Jose Luis Moreno, José M. Cecilia:
An LSTM Deep Learning Scheme for Prediction of Low Temperatures in Agriculture. Intelligent Environments (Workshops) 2019: 130-138 - [p1]Raquel Martínez-España, Andrés Bueno-Crespo, Mariano González García, Carmen Fernández-López:
Prediction of Uptake of Carbamazepine and Diclofenac in Reclaimed Water-Irrigated Lettuces by Machine Learning Techniques. Agriculture and Environment Perspectives in Intelligent Systems 2019: 72-90 - 2018
- [j8]Alejandro M. Hernández-Díaz, Andrés Bueno-Crespo, Jorge Pérez-Aracil, José M. Cecilia:
Multi-objective optimal design of submerged arches using extreme learning machine and evolutionary algorithms. Appl. Soft Comput. 71: 826-834 (2018) - [j7]Andrés Bueno-Crespo, Raquel Martínez-España, Isabel Maria Timon-Perez, Jesús A. Soto:
An unsupervised technique to discretize numerical values by fuzzy partitions. J. Ambient Intell. Smart Environ. 10(3): 289-300 (2018) - [j6]Raquel Martínez-España, Andrés Bueno-Crespo, Isabel Maria Timon-Perez, Jesús A. Soto, Andrés Muñoz, José M. Cecilia:
Air-Pollution Prediction in Smart Cities through Machine Learning Methods: A Case of Study in Murcia, Spain. J. Univers. Comput. Sci. 24(3): 261-276 (2018) - [c7]Antonio Serrano, Baldomero Imbernón, Horacio Pérez Sánchez, José M. Cecilia, Andrés Bueno-Crespo, José L. Abellán:
Accelerating Drugs Discovery with Deep Reinforcement Learning: An Early Approach. ICPP Workshops 2018: 6:1-6:8 - [c6]José Martínez-Más, Andrés Bueno-Crespo, Baldomero Imbernón, José M. Cecilia, Raquel Martínez-España, Manuel Remezal-Solano, Alberto Sánchez-Espinosa, Sebastián Ortiz-Reina, Juan-Pedro Martínez-Cendán:
Deep Learning Approach for Classifying Papanicolau Cervical Smears. ICPP Workshops 2018: 7:1-7:5 - 2017
- [j5]Andrés Bueno-Crespo, Rosa-María Menchón-Lara, Raquel Martínez-España, José-Luis Sancho-Gómez:
Bioinspired Architecture Selection for Multitask Learning. Frontiers Neuroinformatics 11: 39 (2017) - [j4]Francisco J. Martínez-Albaladejo, Andrés Bueno-Crespo, Germán Rodríguez-Bermúdez:
Testing Extreme Learning Machine in Motor Imagery Brain Computer Interface. J. Intell. Fuzzy Syst. 33(5): 3103-3111 (2017) - [c5]Raquel Martínez-España, Andrés Bueno-Crespo, Jesús A. Soto, Leslie J. Janik, José Martín Soriano-Disla:
Influence of Multivariate Modeling in the Prediction of Soil Carbon by a Portable Infrared Sensor. Intelligent Environments (Workshops) 2017: 88-97 - [c4]Andrés Bueno-Crespo, Raquel Martínez-España, Isabel Maria Timon-Perez, Jesús A. Soto:
Discretizing Numerical Values by a Fuzzy Clustering Technique. Intelligent Environments 2017: 172-175 - 2016
- [j3]Rosa-María Menchón-Lara, José-Luis Sancho-Gómez, Andrés Bueno-Crespo:
Early-stage atherosclerosis detection using deep learning over carotid ultrasound images. Appl. Soft Comput. 49: 616-628 (2016) - 2015
- [c3]Andrés Bueno-Crespo, Rosa-María Menchón-Lara, José-Luis Sancho-Gómez:
Related Tasks Selection to Multitask Learning Schemes. IWINAC (2) 2015: 213-221 - [c2]Rosa-María Menchón-Lara, Andrés Bueno-Crespo, José-Luis Sancho-Gómez:
Estimation of the Arterial Diameter in Ultrasound Images of the Common Carotid Artery. IWINAC (1) 2015: 358-367 - 2013
- [j2]Andrés Bueno-Crespo, Pedro J. García-Laencina, José-Luis Sancho-Gómez:
Neural architecture design based on extreme learning machine. Neural Networks 48: 19-24 (2013) - 2012
- [j1]Andrés Bueno-Crespo, Antonio Sánchez-García, José-Luis Sancho-Gómez:
Improving learning by using artificial hints. Neurocomputing 79: 18-25 (2012)
2000 – 2009
- 2007
- [c1]Andrés Bueno-Crespo, Antonio Sánchez-García, Juan Morales-Sánchez, José-Luis Sancho-Gómez:
Multitask Learning with Data Editing. IWINAC (1) 2007: 320-326
Coauthor Index
aka: Raquel Martínez-España
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