Daniel Rivero

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 24

Top Topics

Aerial Vehicles

Symbolic Regression

Activity Recognition

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)
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, Daniel Rivero, Alejandro Pazos, Enrique Fernández-Blanco
UAV Swarm Path Planning with Reinforcement Learning for Field prospecting. CoRR (2021)
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)
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)
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)
Daniel Rivero, Enrique Fernández-Blanco, Julian Dorado, Alejandro Pazos
Classification of Two-channel Signals by Means of Genetic Programming. GECCO (Companion) (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)
Vanessa Aguiar-Pulido, Victoria Suárez-Ulloa, Daniel Rivero, José M. Eirín-López, Julian Dorado
Clustering of Gene Expression Profiles Applied to Marine Research. IWANN (1) (2013)
Carlos Fernandez-Lozano, José A. Seoane, Marcos Gestal, Daniel Rivero, Julian Dorado, Alejandro Pazos
A Texture-based Classification Method for Proteins in Two-Dimensional Electrophoresis Gel Images - A Feature Selection Method using Support Vector Machines and Genetic Algorithms. VISAPP (1) (2013)
Enrique Fernández-Blanco, Daniel Rivero, Marcos Gestal, Julian Dorado
Classification of signals by means of Genetic Programming. Soft Comput. 17 (10) (2013)
Marcos Gestal, Daniel Rivero, Juan Ramón Rabuñal, Julian Dorado, Alejandro Pazos
Introduction to Informatics for Future Documentalists in the European Higher Education Area. CSEDU (1) (2012)
Daniel Rivero, Ling Guo, José A. Seoane, Julian Dorado
Using genetic algorithms and k-nearest neighbour for automatic frequency band selection for signal classification. IET Signal Process. 6 (3) (2012)
Pablo Seoane, Marcos Gestal, Julian Dorado, Juan Ramón Rabuñal, Daniel Rivero
Approach of Genetic Algorithms with Grouping into Species Optimized with Predator-Prey Method for Solving Multimodal Problems. DCAI (2012)
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)
Juan R. Rabuñal, Jerónimo Puertas, Daniel Rivero, Ignacio Fraga, Luis Cea, Marta Garrido
Genetic Programming for Prediction of Water Flow and Transport of Solids in a Basin. IWINAC (2) (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)
Ling Guo, Daniel Rivero, Julian Dorado, Cristian R. Munteanu, Alejandro Pazos
Automatic feature extraction using genetic programming: An application to epileptic EEG classification. Expert Syst. Appl. 38 (8) (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)
Marcos Gestal, Daniel Rivero, Juan R. Rabuñal, Julian Dorado, Alejandro Pazos
Basics of Web Application Design - An Example-based Learning Approach. CSEDU (1) (2010)
Daniel Rivero, Julian Dorado, Juan R. Rabuñal, Alejandro Pazos
Generation and simplification of Artificial Neural Networks by means of Genetic Programming. Neurocomputing 73 (16-18) (2010)
Ling Guo, Daniel Rivero, José A. Seoane, Alejandro Pazos
Classification of EEG signals using relative wavelet energy and artificial neural networks. GEC Summit (2009)
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, Juan R. Rabuñal, Alejandro Pazos
Evolving simple feed-forward and recurrent ANNs for signal classification: A comparison. IJCNN (2009)
Daniel Rivero, Julian Dorado, Juan R. Rabuñal, Alejandro Pazos
Modifying genetic programming for artificial neural network development for data mining. Soft Comput. 13 (3) (2009)
Marcos Gestal, Juan R. Rabuñal, Julian Dorado, Daniel Rivero, Alejandro Pazos
Building the European Higher Education Area - A Subject in Information Systems Security. CSEDU (1) (2009)
Daniel Rivero, Julian Dorado, Enrique Fernández-Blanco, Alejandro Pazos
A Genetic Algorithm for ANN Design, Training and Simplification. IWANN (1) (2009)
Daniel Rivero, Julian Dorado, Juan R. Rabuñal, Alejandro Pazos
Automatic Recurrent ANN development for signal classification: detection of seizures in EEGs. ECAI (2008)
Daniel Rivero, Juan R. Rabuñal, Julian Dorado, Alejandro Pazos
Automatic Design of ANNs by Means of GP for Data Mining Tasks: Iris Flower Classification Problem. ICANNGA (1) (2007)
Daniel Rivero, Julian Dorado, Juan R. Rabuñal, Marcos Gestal
A Comparison Between ANN Generation and Training Methods and Their Development by Means of Graph Evolution: 2 Sample Problems. IWANN (2007)
Stefano Cagnoni, Daniel Rivero, Leonardo Vanneschi
A purely evolutionary memetic algorithm as a first step towards symbiotic coevolution. Congress on Evolutionary Computation (2005)
Daniel Rivero, Juan R. Rabuñal, Julian Dorado, Alejandro Pazos
Time Series Forecast with Anticipation Using Genetic Programming. IWANN (2005)
Juan R. Rabuñal, Julian Dorado, Miguel Varela, Daniel Rivero, Marcos Gestal
Distributed genetic programming by an object oriented system using java and corba. Parallel and Distributed Computing and Networks (2004)
Daniel Rivero, Juan R. Rabuñal, Julian Dorado, Alejandro Pazos
Using Genetic Programming for Character Discrimination in Damaged Documents. EvoWorkshops (2004)
Juan R. Rabuñal, Julian Dorado, Alejandro Pazos, Javier Pereira, Daniel Rivero
A New Approach to the Extraction of ANN Rules and to Their Generalization Capacity Through GP. Neural Comput. 16 (7) (2004)
Juan R. Rabuñal, Julian Dorado, Alejandro Pazos, Daniel Rivero
Rules and Generalization Capacity Extraction from ANN with GP. IWANN (1) (2003)
Julian Dorado, Juan R. Rabuñal, Alejandro Pazos, Daniel Rivero, Antonino Santos, Jerónimo Puertas
Prediction and Modeling of the Rainfall-Runoff Transformation of a Typical Urban Basin Using ANN and GP. Appl. Artif. Intell. 17 (4) (2003)
Daniel Rivero, Rafael Vidal, Julian Dorado, Juan R. Rabuñal, Alejandro Pazos
Restoration of Old Documents with Genetic Algorithms. EvoWorkshops (2003)
Julian Dorado, Juan R. Rabuñal, Antonino Santos, Alejandro Pazos, Daniel Rivero
Automatic Recurrent and Feed-Forward ANN Rule and Expression Extraction with Genetic Programming. PPSN (2002)
Julian Dorado, Juan R. Rabuñal, Jerónimo Puertas, Antonino Santos, Daniel Rivero
Prediction and Modelling of the Flow of a Typical Urban Basin through Genetic Programming. EvoWorkshops (2002)