Prediction and Modelling of the Flow of a Typical Urban Basin through Genetic Programming. - Julián Dorado; Juan R. Rabuñal; Jerónimo Puertas; Antonino Santos; Daniel Rivero 001 (EvoWorkshops, 2002)

Automatic Recurrent and Feed-Forward ANN Rule and Expression Extraction with Genetic Programming. - Julián Dorado; Juan R. Rabuñal; Antonino Santos; Alejandro Pazos; Daniel Rivero 001 (PPSN, 2002)

Restoration of Old Documents with Genetic Algorithms. - Daniel Rivero 001; Rafael Vidal; Julián Dorado; Juan R. Rabuñal; Alejandro Pazos (EvoWorkshops, 2003)

Rules and Generalization Capacity Extraction from ANN with GP. - Juan R. Rabuñal; Julián Dorado; Alejandro Pazos; Daniel Rivero 001 (IWANN (1), 2003)

Prediction and Modeling of the Rainfall-Runoff Transformation of a Typical Urban Basin Using ANN and GP. - Julián Dorado; Juan R. Rabuñal; Alejandro Pazos; Daniel Rivero 001; Antonino Santos; Jerónimo Puertas (Appl. Artif. Intell., 2003)

Using Genetic Programming for Character Discrimination in Damaged Documents. - Daniel Rivero 001; Juan R. Rabuñal; Julián Dorado; Alejandro Pazos (EvoWorkshops, 2004)

Distributed genetic programming by an object oriented system using java and corba. - Juan R. Rabuñal; Julián Dorado; Miguel Varela; Daniel Rivero 001; Marcos Gestal (Parallel and Distributed Computing and Networks, 2004)

A New Approach to the Extraction of ANN Rules and to Their Generalization Capacity Through GP. - Juan R. Rabuñal; Julián Dorado; Alejandro Pazos; Javier Pereira 001; Daniel Rivero 001 (Neural Comput., 2004)

A purely evolutionary memetic algorithm as a first step towards symbiotic coevolution. - Stefano Cagnoni; Daniel Rivero 001; Leonardo Vanneschi (Congress on Evolutionary Computation, 2005)

Time Series Forecast with Anticipation Using Genetic Programming. - Daniel Rivero 001; Juan R. Rabuñal; Julián Dorado; Alejandro Pazos (IWANN, 2005)

Automatic Design of ANNs by Means of GP for Data Mining Tasks: Iris Flower Classification Problem. - Daniel Rivero 001; Juan R. Rabuñal; Julián Dorado; Alejandro Pazos (ICANNGA (1), 2007)

A Comparison Between ANN Generation and Training Methods and Their Development by Means of Graph Evolution: 2 Sample Problems. - Daniel Rivero 001; Julián Dorado; Juan R. Rabuñal; Marcos Gestal (IWANN, 2007)

Automatic Recurrent ANN development for signal classification: detection of seizures in EEGs. - Daniel Rivero 001; Julián Dorado; Juan R. Rabuñal; Alejandro Pazos (ECAI, 2008)

Building the European Higher Education Area - A Subject in Information Systems Security. - Marcos Gestal; Juan R. Rabuñal; Julián Dorado; Daniel Rivero 001; Alejandro Pazos (CSEDU (1), 2009)

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

Classification of EEG signals using relative wavelet energy and artificial neural networks. - Ling Guo; Daniel Rivero 001; José A. Seoane; Alejandro Pazos (GEC Summit, 2009)

Evolving simple feed-forward and recurrent ANNs for signal classification: A comparison. - Daniel Rivero 001; Julián Dorado; Juan R. Rabuñal; Alejandro Pazos (IJCNN, 2009)

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

Modifying genetic programming for artificial neural network development for data mining. - Daniel Rivero 001; Julián Dorado; Juan R. Rabuñal; Alejandro Pazos (Soft Comput., 2009)

Evolving Graphs for ANN Development and Simplification. - Daniel Rivero 001; David Periscal (Encyclopedia of Artificial Intelligence, 2009)

ANN Development with EC Tools. - Daniel Rivero 001; Juan R. Rabuñal (Encyclopedia of Artificial Intelligence, 2009)

Evolutionary Development of ANNs for Data Mining. - Daniel Rivero 001 (Encyclopedia of Data Warehousing and Mining, 2009)

Basics of Web Application Design - An Example-based Learning Approach. - Marcos Gestal; Daniel Rivero 001; Juan R. Rabuñal; Julián Dorado; Alejandro Pazos (CSEDU (1), 2010)

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)

Generation and simplification of Artificial Neural Networks by means of Genetic Programming. - Daniel Rivero 001; Julián Dorado; Juan R. Rabuñal; Alejandro Pazos (Neurocomputing, 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)

Genetic Programming for Prediction of Water Flow and Transport of Solids in a Basin. - Juan R. Rabuñal; Jerónimo Puertas; Daniel Rivero 001; Ignacio Fraga; Luis Cea; Marta Garrido (IWINAC (2), 2011)

Automatic feature extraction using genetic programming: An application to epileptic EEG classification. - Ling Guo; Daniel Rivero 001; Julián Dorado; Cristian R. Munteanu; Alejandro Pazos (Expert Syst. Appl., 2011)

Introduction to Informatics for Future Documentalists in the European Higher Education Area. - Marcos Gestal; Daniel Rivero 001; Juan Ramón Rabuñal; Julián Dorado; Alejandro Pazos (CSEDU (1), 2012)

Approach of Genetic Algorithms with Grouping into Species Optimized with Predator-Prey Method for Solving Multimodal Problems. - Pablo Seoane; Marcos Gestal; Julián Dorado; Juan Ramón Rabuñal; Daniel Rivero 001 (DCAI, 2012)

Using genetic algorithms and k-nearest neighbour for automatic frequency band selection for signal classification. - Daniel Rivero 001; Ling Guo; José A. Seoane; Julián Dorado (IET Signal Process., 2012)

Clustering of Gene Expression Profiles Applied to Marine Research. - Vanessa Aguiar-Pulido; Victoria Suárez-Ulloa; Daniel Rivero 001; José M. Eirín-López; Julián Dorado (IWANN (1), 2013)

A Texture-based Classification Method for Proteins in Two-Dimensional Electrophoresis Gel Images - A Feature Selection Method using Support Vector Machines and Genetic Algorithms. - Carlos Fernandez-Lozano; José A. Seoane; Marcos Gestal; Daniel Rivero 001; Julián Dorado; Alejandro Pazos (VISAPP (1), 2013)

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)

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)

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)

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)

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)