Andrés Bueno-Crespo

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 31

Top Topics

Cervical Cancer

Numerical Values

Top Venues

Intelligent Environments (Workshops)

J. Ambient Intell. Smart Environ.

Appl. Soft Comput.

Publications

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)
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) (2023)
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)
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 (2023)
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) (2023)
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)
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) (2023)
Andrés Muñoz, Raquel Martínez-España, Fernando Terroso-Saenz, Andrés Bueno-Crespo
Preface to the Proceedings of ALLEGET'22. Intelligent Environments (Workshops) (2022)
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) (2021)
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)
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) (2021)
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)
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 (2020)
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 (2020)
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) (2020)
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 (2020)
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) (2020)
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) (2020)
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)
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) (2018)
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)
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 (2018)
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) (2018)
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)
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) (2017)
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)
Andrés Bueno-Crespo, Raquel Martínez-España, Isabel Maria Timon-Perez, Jesús A. Soto
Discretizing Numerical Values by a Fuzzy Clustering Technique. Intelligent Environments (2017)
Andrés Bueno-Crespo, Rosa-María Menchón-Lara, Raquel Martínez-España, José-Luis Sancho-Gómez
Bioinspired Architecture Selection for Multitask Learning. Frontiers Neuroinformatics 11 (2017)
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 (2016)
Andrés Bueno-Crespo, Rosa-María Menchón-Lara, José-Luis Sancho-Gómez
Related Tasks Selection to Multitask Learning Schemes. IWINAC (2) (2015)
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)
Andrés Bueno-Crespo, Pedro J. García-Laencina, José-Luis Sancho-Gómez
Neural architecture design based on extreme learning machine. Neural Networks 48 (2013)
Andrés Bueno-Crespo, Antonio Sánchez-García, José-Luis Sancho-Gómez
Improving learning by using artificial hints. Neurocomputing 79 (2012)
Andrés Bueno-Crespo, Antonio Sánchez-García, Juan Morales-Sánchez, José-Luis Sancho-Gómez
Multitask Learning with Data Editing. IWINAC (1) (2007)