Juan R. Rabuñal

Juan Luis Pérez, Antoni Cladera, Juan R. Rabuñal, Fernando Martínez Abella: Optimization of existing equations using a new Genetic Programming algorithm: Application to the shear strength of reinforced concrete beams. Advances in Engineering Software 50: 82-96 (2012)

Alvaro Rodríguez, Juan R. Rabuñal, Juan Luis Pérez, Fernando Martínez Abella: Optical Analysis of Strength Tests Based on Block-Matching Techniques. Comp.-Aided Civil and Infrastruct. Engineering 27(8): 573-593 (2012)

Alvaro Rodríguez, Carlos Fernandez-Lozano, José Antonio Seoane Fernández, Juan R. Rabuñal, Julian Dorado: Analysis of Deformation Processes using Block-matching Techniques. VISAPP (2) 2012: 327-332

Alvaro Rodríguez, Carlos Fernandez-Lozano, José Antonio Seoane Fernández, Juan R. Rabuñal, Julian Dorado: Motion estimation in real deformation processes based on block-matching techniques. ISSPIT 2011: 336-341

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

Alvaro Rodríguez, Juan R. Rabuñal, Juan Luis Pérez, Fernando Martínez Abella: Study of Strength Tests with Computer Vision Techniques. IWINAC (2) 2011: 257-266

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

Alba Catoira, Juan Luis Pérez, Juan R. Rabuñal: Distributed Genetic Programming for Obtaining Formulas: Application to Concrete Strength. DCAI 2010: 357-364

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

Ana Freire, Vanessa Aguiar-Pulido, Juan R. Rabuñal, Marta Garrido: Genetic Algorithm based on Differential Evolution with Variable Length - Runoff Prediction on an Artificial Basin. IJCCI (ICEC) 2010: 207-212

Juan R. Rabuñal, Julian Dorado, Alejandro Pazos (Eds.): Encyclopedia of Artificial Intelligence (3 Volumes). IGI Global 2009, isbn 9781599048499

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

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

Mónica Miguélez Rico, Jerónimo Puertas, Juan R. Rabuñal: Artificial Neural Networks in Urban Runoff Forecast. IWANN (1) 2009: 1192-1199

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

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

Juan Luis Pérez, Mónica Miguélez Rico, Juan R. Rabuñal, Fernando Martínez Abella: Applying Genetic Programming to Civil Engineering in the Improvement of Models, Codes and Norms. IBERAMIA 2008: 452-460

Mónica Miguélez Rico, Juan Luis Pérez, Juan R. Rabuñal, Julian Dorado: Hybrid System for Data Classification of DNA Microarrays With GA and SVM. ICSOFT (ISDM/ABF) 2008: 304-307

Ana Porto, Alfonso Araque, Juan R. Rabuñal, Julian Dorado, Alejandro Pazos: A new hybrid evolutionary mechanism based on unsupervised learning for Connectionist Systems. Neurocomputing 70(16-18): 2799-2808 (2007)

Enrique Fernández-Blanco, Julian Dorado, Juan R. Rabuñal, Marcos Gestal, Nieves Pedreira: A Computational Morphogenesis Approach to Simple Structure Development. ECAL 2007: 825-834

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

Marcos Gestal, Juan R. Rabuñal, Julian Dorado, Javier Pereira: Description of ranns and their generalisation capabilities by means of rule extraction by genetic programming. Artificial Intelligence and Soft Computing 2006: 323-328

Juan R. Rabuñal, Julian Dorado, Marcos Gestal, Nieves Pedreira: Diversity and Multimodal Search with a Hybrid Two-Population GA: An Application to ANN Development. IWANN 2005: 382-390

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)

Nieves Pedreira, Julian Dorado, Juan R. Rabuñal, Alejandro Pazos, Andrés Silva: Knowledge Management and Interactive Learning. EKAW 2004: 481-482

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

Nieves Pedreira, Julian Dorado, Juan R. Rabuñal, Alejandro Pazos, Andrés Silva: A Model of Virtual 'Learning to Learn'. ICALT 2004: 0-

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

Julian Dorado, Antonino Santos, Juan R. Rabuñal, Nieves Pedreira, Alejandro Pazos: Hybrid Two-Population Genetic Algorithm. Fuzzy Days 2001: 464-470

Julian Dorado, Antonino Santos, Juan R. Rabuñal: Multilevel Genetic Algorithm for the Complete Development of ANN. IWANN (1) 2001: 717-724

Alejandro Pazos, Julian Dorado, Antonino Santos, Juan R. Rabuñal, Nieves Pedreira: Algoritmos genéticos para el entrenamiento de redes de neuronas artificiales (RNA) recurrentes con activaciones temporales. Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial 2(5): 26-31 (1998)