Multitask Learning with Data Editing. - Andrés Bueno-Crespo; Antonio Sánchez-García; Juan Morales-Sánchez; José-Luis Sancho-Gómez (IWINAC (1), 2007)

Improving learning by using artificial hints. - Andrés Bueno-Crespo; Antonio Sánchez-García; José-Luis Sancho-Gómez (Neurocomputing, 2012)

Neural architecture design based on extreme learning machine. - Andrés Bueno-Crespo; Pedro J. García-Laencina; José-Luis Sancho-Gómez (Neural Networks, 2013)

Related Tasks Selection to Multitask Learning Schemes. - Andrés Bueno-Crespo; Rosa-María Menchón-Lara; José-Luis Sancho-Gómez (IWINAC (2), 2015)

Estimation of the Arterial Diameter in Ultrasound Images of the Common Carotid Artery. - Rosa-María Menchón-Lara; Andrés Bueno-Crespo; José-Luis Sancho-Gómez (IWINAC (1), 2015)

Early-stage atherosclerosis detection using deep learning over carotid ultrasound images. - Rosa-María Menchón-Lara; José-Luis Sancho-Gómez; Andrés Bueno-Crespo (Appl. Soft Comput., 2016)

Discretizing Numerical Values by a Fuzzy Clustering Technique. - Andrés Bueno-Crespo; Raquel Martínez-España; Isabel Maria Timon-Perez; Jesús A. Soto (Intelligent Environments, 2017)

Influence of Multivariate Modeling in the Prediction of Soil Carbon by a Portable Infrared Sensor. - Raquel Martínez-España; Andrés Bueno-Crespo; Jesús A. Soto; Leslie J. Janik; José Martín Soriano-Disla (Intelligent Environments (Workshops), 2017)

Bioinspired Architecture Selection for Multitask Learning. - Andrés Bueno-Crespo; Rosa-María Menchón-Lara; Raquel Martínez-España; José-Luis Sancho-Gómez (Frontiers Neuroinformatics, 2017)

Testing Extreme Learning Machine in Motor Imagery Brain Computer Interface. - Francisco J. Martínez-Albaladejo; Andrés Bueno-Crespo; Germán Rodríguez-Bermúdez (J. Intell. Fuzzy Syst., 2017)

Deep Learning Approach for Classifying Papanicolau Cervical Smears. - 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 (ICPP Workshops, 2018)

Accelerating Drugs Discovery with Deep Reinforcement Learning: An Early Approach. - Antonio Serrano; Baldomero Imbernón; Horacio Pérez Sánchez; José M. Cecilia; Andrés Bueno-Crespo; José L. Abellán (ICPP Workshops, 2018)

Multi-objective optimal design of submerged arches using extreme learning machine and evolutionary algorithms. - Alejandro M. Hernández-Díaz; Andrés Bueno-Crespo; Jorge Pérez-Aracil; José M. Cecilia (Appl. Soft Comput., 2018)

An unsupervised technique to discretize numerical values by fuzzy partitions. - Andrés Bueno-Crespo; Raquel Martínez-España; Isabel Maria Timon-Perez; Jesús A. Soto (J. Ambient Intell. Smart Environ., 2018)

Air-Pollution Prediction in Smart Cities through Machine Learning Methods: A Case of Study in Murcia, Spain. - Raquel Martínez-España; Andrés Bueno-Crespo; Isabel Maria Timon-Perez; Jesús A. Soto; Andrés Muñoz 001; José M. Cecilia (J. Univers. Comput. Sci., 2018)

An LSTM Deep Learning Scheme for Prediction of Low Temperatures in Agriculture. - M. Ángel Guillén-Navarro; Raquel Martínez-España; Andrés Bueno-Crespo; Belén Ayuso; Jose Luis Moreno; José M. Cecilia (Intelligent Environments (Workshops), 2019)

Prediction of Uptake of Carbamazepine and Diclofenac in Reclaimed Water-Irrigated Lettuces by Machine Learning Techniques. - Raquel Martínez-España; Andrés Bueno-Crespo; Mariano González García; Carmen Fernández-López (Agriculture and Environment Perspectives in Intelligent Systems, 2019)

QN-Docking: An innovative molecular docking methodology based on Q-Networks. - Antonio Serrano; Baldomero Imbernón; Horacio Pérez Sánchez; José M. Cecilia; Andrés Bueno-Crespo; José L. Abellán (Appl. Soft Comput., 2020)

When will the mist clear? On the Interpretability of Machine Learning for Medical Applications: a survey. - Antonio-Jesús Banegas-Luna; Jorge Peña-García; Adrian Iftene; Fiorella Guadagni; Patrizia Ferroni; Noemi Scarpato; Fabio Massimo Zanzotto; Andrés Bueno-Crespo; Horacio Pérez Sánchez (CoRR, 2020)

Classifying Papanicolaou cervical smears through a cell merger approach by deep learning technique. - José Martínez-Más; Andrés Bueno-Crespo; Raquel Martínez-España; Manuel Remezal-Solano; Ana Ortiz-González; Sebastián Ortiz-Reina; Juan-Pedro Martínez-Cendán (Expert Syst. Appl., 2020)

A deep learning model to predict lower temperatures in agriculture. - Miguel A. Guillén-Navarro; Raquel Martínez-España; Antonio Llanes; Andrés Bueno-Crespo; José M. Cecilia (J. Ambient Intell. Smart Environ., 2020)

A Decision Support System for Water Optimization in Anti-Frost Techniques by Sprinklers. - Miguel A. Guillén-Navarro; Raquel Martínez-España; Andrés Bueno-Crespo; Juan Morales-García; Belén Ayuso; José M. Cecilia (Sensors, 2020)

Sound Levels Forecasting in an Acoustic Sensor Network Using a Deep Neural Network. - Juan M. Navarro; Raquel Martínez-España; Andrés Bueno-Crespo; Ramón Martínez; José M. Cecilia (Sensors, 2020)

Preface to the Proceedings of 1st International Workshop on Artificial Intelligence and Machine Learning for Emerging Topics (ALLEGET'21). - Raquel Martínez-España; Andrés Bueno-Crespo; Fernando Terroso-Saenz; Andrés Muñoz 001 (Intelligent Environments (Workshops), 2021)

The Challenge of Classification Confidence Estimation in Dynamically-Adaptive Neural Networks. - Francesco Dall'Occo; Andrés Bueno-Crespo; José L. Abellán; Davide Bertozzi; Michele Favalli (SAMOS, 2021)

METADOCK 2: a high-throughput parallel metaheuristic scheme for molecular docking. - Baldomero Imbernón; Antonio Serrano; Andrés Bueno-Crespo; José L. Abellán; Horacio Pérez Sánchez; José M. Cecilia (Bioinform., 2021)

Performance evaluation of edge-computing platforms for the prediction of low temperatures in agriculture using deep learning. - Miguel Ángel Guillén; Antonio Llanes; Baldomero Imbernón; Raquel Martínez-España; Andrés Bueno-Crespo; Juan-Carlos Cano; José M. Cecilia (J. Supercomput., 2021)

Preface to the Proceedings of ALLEGET'22. - Andrés Muñoz 001; Raquel Martínez-España; Fernando Terroso-Saenz; Andrés Bueno-Crespo (Intelligent Environments (Workshops), 2022)

A real-time traffic alert system based on image recognition: A case of study in Spain. - Andrés Muñoz 001; Raquel Martínez-España; Gabriel Guerrero-Contreras; Sara Balderas-Díaz; Andrés Bueno-Crespo (IE, 2023)

Preface to the Proceedings of the 3rd International Workshop on Artificial Intelligence and Machine Learning for Emerging Topics (ALLEGET'23). - Fernando Terroso-Saenz; Andrés Bueno-Crespo; Andrés Muñoz 001; Raquel Martínez-España (Intelligent Environments (Workshops), 2023)

Data-driven evaluation of machine learning models for climate control in operational smart greenhouses. - Juan Morales-García; Andrés Bueno-Crespo; Raquel Martínez-España; José M. Cecilia (J. Ambient Intell. Smart Environ., 2023)

Evaluation of low-power devices for smart greenhouse development. - Juan Morales-García; Andrés Bueno-Crespo; Raquel Martínez-España; Juan-Luis Posadas; Pietro Manzoni; José M. Cecilia (J. Supercomput., 2023)

SEPARATE: A tightly coupled, seamless IoT infrastructure for deploying AI algorithms in smart agriculture environments. - Juan Morales-García; Andrés Bueno-Crespo; Raquel Martínez-España; Francisco J. García; Sergio Ros; Julio Fernández-Pedauye; José M. Cecilia (Internet Things, 2023)

Evaluation of synthetic data generation for intelligent climate control in greenhouses. - Juan Morales-García; Andrés Bueno-Crespo; Fernando Terroso-Sáenz; Francisco Arcas-Túnez; Raquel Martínez-España; José M. Cecilia (Appl. Intell., 2023)

Diagnosis of Cervical Cancer Using a Deep Learning Explainable Fusion Model. - Andrés Bueno-Crespo; Raquel Martínez-España; Juan Morales-García; Ana Ortiz-González; Baldomero Imbernón; José Martínez-Más; Daniel Rosique-Egea; Mauricio A. Álvarez (IWINAC (2), 2024)

Segmentation Techniques Applied to CNNs for Cervical Cancer Classification. - 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 (IEEE Access, 2025)

A multi-DL fuzzy approach to image recognition for a real-time traffic alert system. - Andrés Muñoz 001; Raquel Martínez-España; Gabriel Guerrero-Contreras; Sara Balderas-Díaz; Francisco Arcas-Túnez; Andrés Bueno-Crespo (J. Ambient Intell. Smart Environ., 2025)

An Analysis of Synthetic Timeseries as an Enabler to Improve Region-based Human Mobility Forecasting. - Juan Morales-García; Fernando Terroso-Sáenz; Andrés Bueno-Crespo; José M. Cecilia (J. Univers. Comput. Sci., 2025)