Andrés Bueno-Crespo

42 papers B 6Misc 1Journal 27Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Fuzzy logic-driven confidence aggregation for multimodal sentiment classification.
Multim. Tools Appl.
Sara Balderas-Díaz, Gabriel Guerrero-Contreras, Andrés Bueno-Crespo, Raquel Martínez-España
2025 J jnl
A multi-DL fuzzy approach to image recognition for a real-time traffic alert system.
J. Ambient Intell. Smart Environ.
Andrés Muñoz, Raquel Martínez-España, Gabriel Guerrero-Contreras, Sara Balderas-Díaz, Francisco Arcas-Túnez, Andrés Bueno-Crespo
2025 J jnl
An Analysis of Synthetic Timeseries as an Enabler to Improve Region-based Human Mobility Forecasting.
J. Univers. Comput. Sci.
Juan Morales-García, Fernando Terroso-Sáenz, Andrés Bueno-Crespo, José M. Cecilia
2025 J jnl
Artificial intelligence for ovarian cancer diagnosis via ultrasound: a systematic review and quantitative assessment of model performance.
Frontiers Artif. Intell.
Igor Garcia-Atutxa, Francisca Villanueva-Flores, Ekaitz Dudagotia Barrio, Javier I. Sanchez-Villamil, José Martínez-Más, Andrés Bueno-Crespo
2025 J jnl
Early-fusion hybrid CNN-transformer models for multiclass ovarian tumor ultrasound classification.
Frontiers Artif. Intell.
Igor Garcia-Atutxa, José Martínez-Más, Andrés Bueno-Crespo, Francisca Villanueva-Flores
2025 J jnl
Segmentation Techniques Applied to CNNs for Cervical Cancer Classification.
IEEE Access
Ana Ortiz-González, Raquel Martínez-España, Juan Morales-García, Baldomero Imbernón, José Martínez-Más, Mauricio A. Álvarez, Oscar David Romero, Juan-Pedro Martínez-Cendán, Andrés Bueno-Crespo
2025 J jnl
Visual monitoring of landing gear in fighters using deep learning.
Neural Comput. Appl.
Jesús Latre-Campo, Andrés Bueno-Crespo, Germán Rodríguez-Bermúdez, Fernando Pereñíguez-Garcia
2024 — conf
Diagnosis of Cervical Cancer Using a Deep Learning Explainable Fusion Model.
IWINAC (2)
Andrés Bueno-Crespo, Raquel Martínez-España, Juan Morales-García, Ana Ortiz-González, Baldomero Imbernón, José Martínez-Más, Daniel Rosique-Egea, Mauricio A. Álvarez
2023 Misc conf
A real-time traffic alert system based on image recognition: A case of study in Spain.
IE
Andrés Muñoz, Raquel Martínez-España, Gabriel Guerrero-Contreras, Sara Balderas-Díaz, Andrés Bueno-Crespo
2023 J jnl
Data-driven evaluation of machine learning models for climate control in operational smart greenhouses.
J. Ambient Intell. Smart Environ.
Juan Morales-García, Andrés Bueno-Crespo, Raquel Martínez-España, José M. Cecilia
2023 J jnl
Evaluation of low-power devices for smart greenhouse development.
J. Supercomput.
Juan Morales-García, Andrés Bueno-Crespo, Raquel Martínez-España, Juan-Luis Posadas, Pietro Manzoni, José M. Cecilia
2023 J jnl
Evaluation of synthetic data generation for intelligent climate control in greenhouses.
Appl. Intell.
Juan Morales-García, Andrés Bueno-Crespo, Fernando Terroso-Sáenz, Francisco Arcas-Túnez, Raquel Martínez-España, José M. Cecilia
2023 B conf
Preface to the Proceedings of the 3rd International Workshop on Artificial Intelligence and Machine Learning for Emerging Topics (ALLEGET'23).
Intelligent Environments (Workshops)
Fernando Terroso-Saenz, Andrés Bueno-Crespo, Andrés Muñoz, Raquel Martínez-España
2023 J jnl
SEPARATE: A tightly coupled, seamless IoT infrastructure for deploying AI algorithms in smart agriculture environments.
Internet Things
Juan Morales-García, Andrés Bueno-Crespo, Raquel Martínez-España, Francisco J. García, Sergio Ros, Julio Fernández-Pedauye, José M. Cecilia
2022 B conf
Preface to the Proceedings of ALLEGET'22.
Intelligent Environments (Workshops)
Andrés Muñoz, Raquel Martínez-España, Fernando Terroso-Saenz, Andrés Bueno-Crespo
2021 J jnl
METADOCK 2: a high-throughput parallel metaheuristic scheme for molecular docking.
Bioinform.
Baldomero Imbernón, Antonio Serrano, Andrés Bueno-Crespo, José L. Abellán, Horacio Pérez Sánchez, José M. Cecilia
2021 J jnl
Performance evaluation of edge-computing platforms for the prediction of low temperatures in agriculture using deep learning.
J. Supercomput.
Miguel Ángel Guillén, Antonio Llanes, Baldomero Imbernón, Raquel Martínez-España, Andrés Bueno-Crespo, Juan-Carlos Cano, José M. Cecilia
2021 B conf
Preface to the Proceedings of 1st International Workshop on Artificial Intelligence and Machine Learning for Emerging Topics (ALLEGET'21).
Intelligent Environments (Workshops)
Raquel Martínez-España, Andrés Bueno-Crespo, Fernando Terroso-Saenz, Andrés Muñoz
2021 — conf
The Challenge of Classification Confidence Estimation in Dynamically-Adaptive Neural Networks.
SAMOS
Francesco Dall'Occo, Andrés Bueno-Crespo, José L. Abellán, Davide Bertozzi, Michele Favalli
2020 J jnl
A Decision Support System for Water Optimization in Anti-Frost Techniques by Sprinklers.
Sensors
Miguel A. Guillén-Navarro, Raquel Martínez-España, Andrés Bueno-Crespo, Juan Morales-García, Belén Ayuso, José M. Cecilia
2020 J jnl
A deep learning model to predict lower temperatures in agriculture.
J. Ambient Intell. Smart Environ.
Miguel A. Guillén-Navarro, Raquel Martínez-España, Antonio Llanes, Andrés Bueno-Crespo, José M. Cecilia
2020 J jnl
Classifying Papanicolaou cervical smears through a cell merger approach by deep learning technique.
Expert Syst. Appl.
José Martínez-Más, Andrés Bueno-Crespo, Raquel Martínez-España, Manuel Remezal-Solano, Ana Ortiz-González, Sebastián Ortiz-Reina, Juan-Pedro Martínez-Cendán
2020 J jnl
QN-Docking: An innovative molecular docking methodology based on Q-Networks.
Appl. Soft Comput.
Antonio Serrano, Baldomero Imbernón, Horacio Pérez Sánchez, José M. Cecilia, Andrés Bueno-Crespo, José L. Abellán
2020 J jnl
Sound Levels Forecasting in an Acoustic Sensor Network Using a Deep Neural Network.
Sensors
Juan M. Navarro, Raquel Martínez-España, Andrés Bueno-Crespo, Ramón Martínez, José M. Cecilia
2020 J jnl
When will the mist clear? On the Interpretability of Machine Learning for Medical Applications: a survey.
CoRR
Antonio-Jesús Banegas-Luna, Jorge Peña-García, Adrian Iftene, Fiorella Guadagni, Patrizia Ferroni, Noemi Scarpato, Fabio Massimo Zanzotto, Andrés Bueno-Crespo, Horacio Pérez Sánchez
2019 B conf
An LSTM Deep Learning Scheme for Prediction of Low Temperatures in Agriculture.
Intelligent Environments (Workshops)
M. Ángel Guillén-Navarro, Raquel Martínez-España, Andrés Bueno-Crespo, Belén Ayuso, Jose Luis Moreno, José M. Cecilia
2019 — ch.
Prediction of Uptake of Carbamazepine and Diclofenac in Reclaimed Water-Irrigated Lettuces by Machine Learning Techniques.
Agriculture and Environment Perspectives in Intelligent Systems
Raquel Martínez-España, Andrés Bueno-Crespo, Mariano González García, Carmen Fernández-López
2018 — conf
Accelerating Drugs Discovery with Deep Reinforcement Learning: An Early Approach.
ICPP Workshops
Antonio Serrano, Baldomero Imbernón, Horacio Pérez Sánchez, José M. Cecilia, Andrés Bueno-Crespo, José L. Abellán
2018 J jnl
Air-Pollution Prediction in Smart Cities through Machine Learning Methods: A Case of Study in Murcia, Spain.
J. Univers. Comput. Sci.
Raquel Martínez-España, Andrés Bueno-Crespo, Isabel Maria Timon-Perez, Jesús A. Soto, Andrés Muñoz, José M. Cecilia
2018 J jnl
An unsupervised technique to discretize numerical values by fuzzy partitions.
J. Ambient Intell. Smart Environ.
Andrés Bueno-Crespo, Raquel Martínez-España, Isabel Maria Timon-Perez, Jesús A. Soto
2018 — conf
Deep Learning Approach for Classifying Papanicolau Cervical Smears.
ICPP Workshops
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
2018 J jnl
Multi-objective optimal design of submerged arches using extreme learning machine and evolutionary algorithms.
Appl. Soft Comput.
Alejandro M. Hernández-Díaz, Andrés Bueno-Crespo, Jorge Pérez-Aracil, José M. Cecilia
2017 J jnl
Bioinspired Architecture Selection for Multitask Learning.
Frontiers Neuroinformatics
Andrés Bueno-Crespo, Rosa-María Menchón-Lara, Raquel Martínez-España, José-Luis Sancho-Gómez
2017 B conf
Discretizing Numerical Values by a Fuzzy Clustering Technique.
Intelligent Environments
Andrés Bueno-Crespo, Raquel Martínez-España, Isabel Maria Timon-Perez, Jesús A. Soto
2017 B conf
Influence of Multivariate Modeling in the Prediction of Soil Carbon by a Portable Infrared Sensor.
Intelligent Environments (Workshops)
Raquel Martínez-España, Andrés Bueno-Crespo, Jesús A. Soto, Leslie J. Janik, José Martín Soriano-Disla
2017 J jnl
Testing Extreme Learning Machine in Motor Imagery Brain Computer Interface.
J. Intell. Fuzzy Syst.
Francisco J. Martínez-Albaladejo, Andrés Bueno-Crespo, Germán Rodríguez-Bermúdez
2016 J jnl
Early-stage atherosclerosis detection using deep learning over carotid ultrasound images.
Appl. Soft Comput.
Rosa-María Menchón-Lara, José-Luis Sancho-Gómez, Andrés Bueno-Crespo
2015 — conf
Estimation of the Arterial Diameter in Ultrasound Images of the Common Carotid Artery.
IWINAC (1)
Rosa-María Menchón-Lara, Andrés Bueno-Crespo, José-Luis Sancho-Gómez
2015 — conf
Related Tasks Selection to Multitask Learning Schemes.
IWINAC (2)
Andrés Bueno-Crespo, Rosa-María Menchón-Lara, José-Luis Sancho-Gómez
2013 J jnl
Neural architecture design based on extreme learning machine.
Neural Networks
Andrés Bueno-Crespo, Pedro J. García-Laencina, José-Luis Sancho-Gómez
2012 J jnl
Improving learning by using artificial hints.
Neurocomputing
Andrés Bueno-Crespo, Antonio Sánchez-García, José-Luis Sancho-Gómez
2007 — conf
Multitask Learning with Data Editing.
IWINAC (1)
Andrés Bueno-Crespo, Antonio Sánchez-García, Juan Morales-Sánchez, José-Luis Sancho-Gómez