A Computational Morphogenesis Approach to Simple Structure Development. - Enrique Fernández-Blanco; Julián Dorado; Juan R. Rabuñal; Marcos Gestal; Nieves Pedreira (ECAL, 2007)

Artificial Cells for Information Processing: Iris Classification. - Enrique Fernández-Blanco; Julián Dorado; Jose A. Serantes; Daniel Rivero 001; Juan R. Rabuñal (ECAL (1), 2009)

A Genetic Algorithm for ANN Design, Training and Simplification. - Daniel Rivero 001; Julián Dorado; Enrique Fernández-Blanco; Alejandro Pazos (IWANN (1), 2009)

Computer Morphogenesis in Self-Organizing Structures. - Enrique Fernández-Blanco; Julián Dorado de la Calle (Encyclopedia of Artificial Intelligence, 2009)

Gene Regulation Network Use for Information Processing. - Enrique Fernández-Blanco; Jose A. Serantes (Encyclopedia of Artificial Intelligence, 2009)

2D-PAGE Analysis Using Evolutionary Computation. - Pablo Mesejo; Enrique Fernández-Blanco; Diego Martínez-Feijóo; Francisco Blanco (Encyclopedia of Artificial Intelligence, 2009)

Two-population Genetic Algorithm - An Approach to Improve the Population Diversity. - Marcos Gestal; Daniel Rivero 001; Enrique Fernández-Blanco; Juan R. Rabuñal; Julián Dorado (ICAART (1), 2010)

A new signal classification technique by means of Genetic Algorithms and kNN. - Daniel Rivero 001; Enrique Fernández-Blanco; Julián Dorado; Alejandro Pazos (IEEE Congress on Evolutionary Computation, 2011)

Using recurrent ANNs for the detection of epileptic seizures in EEG signals. - Daniel Rivero 001; Enrique Fernández-Blanco; Julián Dorado; Alejandro Pazos (IEEE Congress on Evolutionary Computation, 2011)

Using genetic algorithms for automatic recurrent ANN development: an application to EEG signal classification. - Daniel Rivero 001; Vanessa Aguiar-Pulido; Enrique Fernández-Blanco; Marcos Gestal (Int. J. Data Min. Model. Manag., 2013)

Classification of signals by means of Genetic Programming. - Enrique Fernández-Blanco; Daniel Rivero 001; Marcos Gestal; Julián Dorado (Soft Comput., 2013)

Classification of Two-channel Signals by Means of Genetic Programming. - Daniel Rivero 001; Enrique Fernández-Blanco; Julián Dorado; Alejandro Pazos (GECCO (Companion), 2015)

Artificial Neuron-Glia Networks Learning Approach Based on Cooperative Coevolution. - Pablo Mesejo; Óscar Ibáñez; Enrique Fernández-Blanco; Francisco Cedrón; Alejandro Pazos; Ana Porto Pazos (Int. J. Neural Syst., 2015)

Early warning in egg production curves from commercial hens: A SVM approach. - Iván Ramírez Morales; Daniel Rivero Cebrián; Enrique Fernández-Blanco; Alejandro Pazos Sierra (Comput. Electron. Agric., 2016)

Determination of egg storage time at room temperature using a low-cost NIR spectrometer and machine learning techniques. - Julian Coronel-Reyes; Iván Ramírez Morales; Enrique Fernández-Blanco; Daniel Rivero Cebrián; Alejandro Pazos (Comput. Electron. Agric., 2018)

A Hybrid Evolutionary System for Automated Artificial Neural Networks Generation and Simplification in Biomedical Applications. - Enrique Fernández-Blanco; Daniel Rivero 001; Marcos Gestal; Carlos Fernandez-Lozano; Norberto Ezquerra; Cristian R. Munteanu; Julián Dorado (CoRR, 2019)

Classification of signaling proteins based on molecular star graph descriptors using Machine Learning models. - Carlos Fernandez-Lozano; Ruben F. Cuinas; José A. Seoane; Enrique Fernández-Blanco; Julián Dorado; Cristian R. Munteanu (CoRR, 2019)

Classical Music Prediction and Composition by means of Variational Autoencoders. - Daniel Rivero 001; Enrique Fernández-Blanco; Alejandro Pazos (CoRR, 2019)

A New Deterministic Technique for Symbolic Regression. - Daniel Rivero 001; Enrique Fernández-Blanco; Alejandro Pazos (CoRR, 2019)

Automatic assessment of Alzheimer's disease diagnosis based on deep learning techniques. - Alejandro Puente-Castro; Enrique Fernández-Blanco; Alejandro Pazos; Cristian R. Munteanu (Comput. Biol. Medicine, 2020)

EEG signal processing with separable convolutional neural network for automatic scoring of sleeping stage. - Enrique Fernández-Blanco; Daniel Rivero 001; Alejandro Pazos (Neurocomputing, 2020)

Population subset selection for the use of a validation dataset for overfitting control in genetic programming. - Daniel Rivero 001; Enrique Fernández-Blanco; Carlos Fernandez-Lozano; Alejandro Pazos (J. Exp. Theor. Artif. Intell., 2020)

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. - Daniel Garcia-Gonzalez; Daniel Rivero 001; Enrique Fernández-Blanco; Miguel R. Luaces (Sensors, 2020)

A Public Domain Dataset for Real-Life Human Activity Recognition Using Smartphone Sensors. - Daniel Garcia-Gonzalez; Daniel Rivero 001; Enrique Fernández-Blanco; Miguel R. Luaces (Sensors, 2020)

Convolutional neural networks for sleep stage scoring on a two-channel EEG signal. - Enrique Fernández-Blanco; Daniel Rivero Cebrián; Alejandro Pazos (Soft Comput., 2020)

Ensemble of Convolution Neural Networks on Heterogeneous Signals for Sleep Stage Scoring. - Enrique Fernández-Blanco; Carlos Fernandez-Lozano; Alejandro Pazos; Daniel Rivero 001 (CoRR, 2021)

UAV swarm path planning with reinforcement learning for field prospecting. - Alejandro Puente-Castro; Daniel Rivero 001; Alejandro Pazos; Enrique Fernández-Blanco (Appl. Intell., 2022)

Machine learning in management of precautionary closures caused by lipophilic biotoxins. - Andres Molares-Ulloa; Enrique Fernández-Blanco; Alejandro Pazos; Daniel Rivero 001 (Comput. Electron. Agric., 2022)

FacialSCDnet: A deep learning approach for the estimation of subject-to-camera distance in facial photographs. - Enrique Bermejo Nievas; Enrique Fernández-Blanco; Andrea Valsecchi; Pablo Mesejo; Óscar Ibáñez; Kazuhiko Imaizumi (Expert Syst. Appl., 2022)

DoME: A deterministic technique for equation development and Symbolic Regression. - Daniel Rivero 001; Enrique Fernández-Blanco; Alejandro Pazos (Expert Syst. Appl., 2022)

A review of artificial intelligence applied to path planning in UAV swarms. - Alejandro Puente-Castro; Daniel Rivero 001; Alejandro Pazos; Enrique Fernández-Blanco (Neural Comput. Appl., 2022)

Q-learning Based System for Path Planning with UAV Swarms in Obstacle Environments. - Alejandro Puente-Castro; Daniel Rivero 001; Eurico Farinha Pedrosa; Artur Pereira; Nuno Lau; Enrique Fernández-Blanco (CoRR, 2023)

New machine learning approaches for real-life human activity recognition using smartphone sensor-based data. - Daniel Garcia-Gonzalez; Daniel Rivero 001; Enrique Fernández-Blanco; Miguel R. Luaces (Knowl. Based Syst., 2023)

Hybrid machine learning techniques in the management of harmful algal blooms impact. - Andres Molares-Ulloa; Daniel Rivero 001; Jesús Gil Ruiz; Enrique Fernández-Blanco; Luis de-la-Fuente-Valentín (Comput. Electron. Agric., 2023)

Deep learning models for real-life human activity recognition from smartphone sensor data. - Daniel Garcia-Gonzalez; Daniel Rivero 001; Enrique Fernández-Blanco; Miguel R. Luaces (Internet Things, 2023)

Harmful algal bloom forecasting. A comparison between stream and batch learning. - Andres Molares-Ulloa; Elisabet Rocruz; Daniel Rivero 001; Xosé A. Padin; Rita Nolasco; Jesús Dubert; Enrique Fernández-Blanco (CoRR, 2024)

Genetic Algorithm Based System for Path Planning with Unmanned Aerial Vehicles Swarms in Cell-Grid Environments. - Alejandro Puente-Castro; Enrique Fernández-Blanco; Daniel Rivero 001 (CoRR, 2024)

Q-Learning based system for Path Planning with Unmanned Aerial Vehicles swarms in obstacle environments. - Alejandro Puente-Castro; Daniel Rivero 001; Eurico Farinha Pedrosa; Artur Pereira; Nuno Lau; Enrique Fernández-Blanco (Expert Syst. Appl., 2024)

Towards improved harmful algal bloom forecasts: A comparison of symbolic regression with DoME and stream learning performance. - Andres Molares-Ulloa; Elisabet Rocruz; Daniel Rivero 001; Xosé A. Padin; Rita Nolasco; Jesús Dubert; Enrique Fernández-Blanco (Comput. Electron. Agric., 2025)

Enhancing Orthopox Image Classification Using Hybrid Machine Learning and Deep Learning Models. - Alejandro Puente-Castro; Enrique Fernández-Blanco; Daniel Rivero 001; Andres Molares-Ulloa (CoRR, 2025)