Daniel Rivero

Daniel Rivero, Vanessa Aguiar-Pulido, Enrique Fernández-Blanco, Marcos Gestal: Using genetic algorithms for automatic recurrent ANN development: an application to EEG signal classification. IJDMMM 5(2): 182-191 (2013)

Marcos Gestal, Daniel Rivero, J. Ramón Rabuñal, Julian Dorado, Alejandro Pazos: Introduction to Informatics for Future Documentalists in the European Higher Education Area. CSEDU (1) 2012: 301-304

Pablo Seoane, Marcos Gestal, Julian Dorado, J. Ramón Rabuñal, Daniel Rivero: Approach of Genetic Algorithms with Grouping into Species Optimized with Predator-Prey Method for Solving Multimodal Problems. DCAI 2012: 689-699

Jordi Salvador, Daniel Rivero, Axel Kochale, Javier Ruiz Hidalgo: Variational reconstruction and restoration for video Super-Resolution. ICPR 2012: 1047-1051

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): 10425-10436 (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: 581-586

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: 587-592

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: 223-232

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): 3200-3223 (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: 481-484

Marcos Gestal, Daniel Rivero, Esther Fernández, Juan R. Rabuñal, Julian Dorado: Two-population Genetic Algorithm - An Approach to Improve the Population Diversity. ICAART (1) 2010: 635-639

Daniel Rivero, Julian Dorado, Juan R. Rabuñal, Alejandro Pazos: Modifying genetic programming for artificial neural network development for data mining. Soft Comput. 13(3): 291-305 (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: 398-401

Enrique Fernández-Blanco, Julian Dorado, Jose A. Serantes, Daniel Rivero, Juan R. Rabuñal: Artificial Cells for Information Processing: Iris Classification. ECAL (1) 2009: 44-52

Ling Guo, Daniel Rivero, José A. Seoane, Alejandro Pazos: Classification of EEG signals using relative wavelet energy and artificial neural networks. GEC Summit 2009: 177-184

Daniel Rivero, Julian Dorado, Juan R. Rabuñal, Alejandro Pazos: Evolving simple feed-forward and recurrent ANNs for signal classification: A comparison. IJCNN 2009: 2685-2692

Daniel Rivero, Julian Dorado, Enrique Fernández-Blanco, Alejandro Pazos: A Genetic Algorithm for ANN Design, Training and Simplification. IWANN (1) 2009: 391-398

Daniel Rivero, Juan R. Rabuñal: ANN Development with EC Tools. Encyclopedia of Artificial Intelligence 2009: 125-130

Daniel Rivero, David Periscal: Evolving Graphs for ANN Development and Simplification. Encyclopedia of Artificial Intelligence 2009: 618-624

Daniel Rivero: Evolutionary Development of ANNs for Data Mining. Encyclopedia of Data Warehousing and Mining 2009: 829-835

Daniel Rivero, Julian Dorado, Juan R. Rabuñal, Alejandro Pazos: Automatic Recurrent ANN development for signal classification: detection of seizures in EEGs. ECAI 2008: 142-146

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: 276-285

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: 94-101

Stefano Cagnoni, Daniel Rivero, Leonardo Vanneschi: A purely evolutionary memetic algorithm as a first step towards symbiotic coevolution. Congress on Evolutionary Computation 2005: 1156-1163

Daniel Rivero, Juan R. Rabuñal, Julian Dorado, Alejandro Pazos: Time Series Forecast with Anticipation Using Genetic Programming. IWANN 2005: 968-975

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 Computation 16(7): 1483-1523 (2004)

Daniel Rivero, Juan R. Rabuñal, Julian Dorado, Alejandro Pazos: Using Genetic Programming for Character Discrimination in Damaged Documents. EvoWorkshops 2004: 349-358

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: 434-439

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. Applied Artificial Intelligence 17(4): 329-343 (2003)

Daniel Rivero, Rafael Vidal, Julian Dorado, Juan R. Rabuñal, Alejandro Pazos: Restoration of Old Documents with Genetic Algorithms. EvoWorkshops 2003: 432-443

Juan R. Rabuñal, Julian Dorado, Alejandro Pazos, Daniel Rivero: Rules and Generalization Capacity Extraction from ANN with GP. IWANN (1) 2003: 606-613

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: 190-201

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: 485-494