Enrique Fernández-Blanco

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 34

Top Topics

Aerial Vehicles

Symbolic Regression

Top Venues

Comput. Electron. Agric.

Expert Syst. Appl.

Publications

Alejandro Puente-Castro, Daniel Rivero, Eurico Farinha Pedrosa, Artur Pereira, Nuno Lau, Enrique Fernández-Blanco
Q-Learning based system for Path Planning with Unmanned Aerial Vehicles swarms in obstacle environments. Expert Syst. Appl. 235 (2024)
Andres Molares-Ulloa, Daniel Rivero, Jesus Gil Ruiz, Enrique Fernández-Blanco, Luis de-la-Fuente-Valentín
Hybrid Machine Learning techniques in the management of harmful algal blooms impact. CoRR (2024)
Andres Molares-Ulloa, Elisabet Rocruz, Daniel Rivero, Xosé A. Padin, Rita Nolasco, Jesús Dubert, Enrique Fernández-Blanco
Harmful algal bloom forecasting. A comparison between stream and batch learning. CoRR (2024)
Andres Molares-Ulloa, Enrique Fernández-Blanco, Alejandro Pazos, Daniel Rivero
Machine Learning in management of precautionary closures caused by lipophilic biotoxins. CoRR (2024)
Daniel Garcia-Gonzalez, Daniel Rivero, Enrique Fernández-Blanco, Miguel R. Luaces
Deep learning models for real-life human activity recognition from smartphone sensor data. Internet Things 24 (2023)
Andres Molares-Ulloa, Daniel Rivero, Jesús Gil Ruiz, Enrique Fernández-Blanco, Luis de-la-Fuente-Valentín
Hybrid machine learning techniques in the management of harmful algal blooms impact. Comput. Electron. Agric. 211 (2023)
Alejandro Puente-Castro, Daniel Rivero, Eurico Farinha Pedrosa, Artur Pereira, Nuno Lau, Enrique Fernández-Blanco
Q-learning Based System for Path Planning with UAV Swarms in Obstacle Environments. CoRR (2023)
Daniel Garcia-Gonzalez, Daniel Rivero, Enrique Fernández-Blanco, Miguel R. Luaces
New machine learning approaches for real-life human activity recognition using smartphone sensor-based data. Knowl. Based Syst. 262 (2023)
Daniel Rivero, Enrique Fernández-Blanco, Alejandro Pazos
DoME: A deterministic technique for equation development and Symbolic Regression. Expert Syst. Appl. 198 (2022)
Alejandro Puente-Castro, Daniel Rivero, Alejandro Pazos, Enrique Fernández-Blanco
UAV swarm path planning with reinforcement learning for field prospecting. Appl. Intell. 52 (12) (2022)
Alejandro Puente-Castro, Daniel Rivero, Alejandro Pazos, Enrique Fernández-Blanco
A review of artificial intelligence applied to path planning in UAV swarms. Neural Comput. Appl. 34 (1) (2022)
Enrique Bermejo Nievas, Enrique Fernández-Blanco, Andrea Valsecchi, Pablo Mesejo, Óscar Ibáñez, Kazuhiko Imaizumi
FacialSCDnet: A deep learning approach for the estimation of subject-to-camera distance in facial photographs. Expert Syst. Appl. 210 (2022)
Andres Molares-Ulloa, Enrique Fernández-Blanco, Alejandro Pazos, Daniel Rivero
Machine learning in management of precautionary closures caused by lipophilic biotoxins. Comput. Electron. Agric. 197 (2022)
Enrique Fernández-Blanco, Daniel Rivero, Alejandro Pazos
Convolutional Neural Networks for Sleep Stage Scoring on a Two-Channel EEG Signal. CoRR (2021)
Enrique Fernández-Blanco, Carlos Fernandez-Lozano, Alejandro Pazos, Daniel Rivero
Ensemble of Convolution Neural Networks on Heterogeneous Signals for Sleep Stage Scoring. CoRR (2021)
Alejandro Puente-Castro, Enrique Fernández-Blanco, Alejandro Pazos, Cristian R. Munteanu
Automatic Assessment of Alzheimer's Disease Diagnosis Based on Deep Learning Techniques. CoRR (2021)
Alejandro Puente-Castro, Daniel Rivero, Alejandro Pazos, Enrique Fernández-Blanco
UAV Swarm Path Planning with Reinforcement Learning for Field prospecting. CoRR (2021)
Enrique Fernández-Blanco, Daniel Rivero Cebrián, Alejandro Pazos
Convolutional neural networks for sleep stage scoring on a two-channel EEG signal. Soft Comput. 24 (6) (2020)
Daniel Garcia-Gonzalez, Daniel Rivero, Enrique Fernández-Blanco, Miguel R. Luaces
Correction: Garcia-Gonzalez, D.; Rivero, D.; Fernandez-Blanco, E.; Luaces, M.R. A Public Domain Dataset for Real-Life Human Activity Recognition Using Smartphone Sensors. Sensors 2020, 20, 2200. Sensors 20 (16) (2020)
Daniel Rivero, Enrique Fernández-Blanco, Carlos Fernandez-Lozano, Alejandro Pazos
Population subset selection for the use of a validation dataset for overfitting control in genetic programming. J. Exp. Theor. Artif. Intell. 32 (2) (2020)
Enrique Fernández-Blanco, Daniel Rivero, Alejandro Pazos
EEG signal processing with separable convolutional neural network for automatic scoring of sleeping stage. Neurocomputing 410 (2020)
Julian Coronel-Reyes, Iván Ramírez Morales, Enrique Fernández-Blanco, Daniel Rivero, Alejandro Pazos
Determination of egg storage time at room temperature using a low-cost NIR spectrometer and machine learning techniques. CoRR (2020)
Alejandro Puente-Castro, Enrique Fernández-Blanco, Alejandro Pazos, Cristian R. Munteanu
Automatic assessment of Alzheimer's disease diagnosis based on deep learning techniques. Comput. Biol. Medicine 120 (2020)
Daniel Garcia-Gonzalez, Daniel Rivero, Enrique Fernández-Blanco, Miguel R. Luaces
A Public Domain Dataset for Real-Life Human Activity Recognition Using Smartphone Sensors. Sensors 20 (8) (2020)
Daniel Rivero, Enrique Fernández-Blanco, Alejandro Pazos
A New Deterministic Technique for Symbolic Regression. CoRR (2019)
Enrique Fernández-Blanco, Daniel Rivero, Marcos Gestal, Carlos Fernandez-Lozano, Norberto Ezquerra, Cristian R. Munteanu, Julian Dorado
A Hybrid Evolutionary System for Automated Artificial Neural Networks Generation and Simplification in Biomedical Applications. CoRR (2019)
Iván Ramírez Morales, Daniel Rivero Cebrián, Enrique Fernández-Blanco, Alejandro Pazos Sierra
Early warning in egg production curves from commercial hens: A SVM approach. CoRR (2019)
Carlos Fernandez-Lozano, Ruben F. Cuinas, José A. Seoane, Enrique Fernández-Blanco, Julian Dorado, Cristian R. Munteanu
Classification of signaling proteins based on molecular star graph descriptors using Machine Learning models. CoRR (2019)
Daniel Rivero, Enrique Fernández-Blanco, Julian Dorado, Alejandro Pazos
Classification of Two-channel Signals by Means of Genetic Programming. CoRR (2019)
Daniel Rivero, Enrique Fernández-Blanco, Alejandro Pazos
Classical Music Prediction and Composition by means of Variational Autoencoders. CoRR (2019)
Julian Coronel-Reyes, Iván Ramírez Morales, Enrique Fernández-Blanco, Daniel Rivero Cebrián, Alejandro Pazos
Determination of egg storage time at room temperature using a low-cost NIR spectrometer and machine learning techniques. Comput. Electron. Agric. 145 (2018)
Iván Ramírez Morales, Daniel Rivero Cebrián, Enrique Fernández-Blanco, Alejandro Pazos Sierra
Early warning in egg production curves from commercial hens: A SVM approach. Comput. Electron. Agric. 121 (2016)
Daniel Rivero, Enrique Fernández-Blanco, Julian Dorado, Alejandro Pazos
Classification of Two-channel Signals by Means of Genetic Programming. GECCO (Companion) (2015)
Pablo Mesejo, Óscar Ibáñez, Enrique Fernández-Blanco, Francisco Cedrón, Alejandro Pazos, Ana Porto Pazos
Artificial Neuron-Glia Networks Learning Approach Based on Cooperative Coevolution. Int. J. Neural Syst. 25 (4) (2015)
Daniel Rivero, Vanessa Aguiar-Pulido, Enrique Fernández-Blanco, Marcos Gestal
Using genetic algorithms for automatic recurrent ANN development: an application to EEG signal classification. Int. J. Data Min. Model. Manag. 5 (2) (2013)
Enrique Fernández-Blanco, Daniel Rivero, Marcos Gestal, Julian Dorado
Classification of signals by means of Genetic Programming. Soft Comput. 17 (10) (2013)
Daniel Rivero, Enrique Fernández-Blanco, Julian Dorado, Alejandro Pazos
Using recurrent ANNs for the detection of epileptic seizures in EEG signals. IEEE Congress on Evolutionary Computation (2011)
Daniel Rivero, Enrique Fernández-Blanco, Julian Dorado, Alejandro Pazos
A new signal classification technique by means of Genetic Algorithms and kNN. IEEE Congress on Evolutionary Computation (2011)
Marcos Gestal, Daniel Rivero, Enrique Fernández-Blanco, Juan R. Rabuñal, Julian Dorado
Two-population Genetic Algorithm - An Approach to Improve the Population Diversity. ICAART (1) (2010)
Enrique Fernández-Blanco, Julian Dorado, Jose A. Serantes, Daniel Rivero, Juan R. Rabuñal
Artificial Cells for Information Processing: Iris Classification. ECAL (1) (2009)
Daniel Rivero, Julian Dorado, Enrique Fernández-Blanco, Alejandro Pazos
A Genetic Algorithm for ANN Design, Training and Simplification. IWANN (1) (2009)
Enrique Fernández-Blanco, Julian Dorado, Juan R. Rabuñal, Marcos Gestal, Nieves Pedreira
A Computational Morphogenesis Approach to Simple Structure Development. ECAL (2007)