Julian Dorado

Pablo Seoane, Marcos Gestal, Julian Dorado: Approach for solving multimodal problems using Genetic Algorithms with Grouped into Species optimized with Predator-Prey. IJIMAI 1(5): 6-13 (2012)

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

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

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)

Cristian R. Munteanu, Julian Dorado, Alejandro Pazos Sierra, Francisco J. Prado-Prado, L. G. Pérez-Montoto, Santiago Vilar, Florencio M. Ubeira, A. Sanchez-Gonzaléz, Maykel Cruz-Monteagudo, S. Arrasate, N. Sotomayor, E. Lete, A. Duardo-Sánchez, A. Díaz-López, Grace Patlewicz, Humberto González Díaz: Markov Entropy Centrality: Chemical, Biological, Crime, and Legislative Networks. Towards an Information Theory of Complex Networks 2011: 199-258

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

Noelia Vállez, Gloria Bueno, Oscar Déniz-Suárez, José A. Seoane, Julian Dorado, Alejandro Pazos: A Tree Classifier for Automatic Breast Tissue Classification Based on BIRADS Categories. IbPRIA 2011: 580-587

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

Alba Cabarcos, Tamara Sanchez, José A. Seoane, Vanessa Aguiar-Pulido, Ana Freire, Julian Dorado, Alejandro Pazos: Retrieval and management of medical information from heterogeneous sources, for its integration in a medical record visualisation tool. IJEH 5(4): 371-385 (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): 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

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)

Ana Porto, Guillermo Rodríguez, Julian Dorado, Alejandro Pazos: Software Tool to Build Brain Computational Models through Internet. BIOCOMP 2009: 347-352

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

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

Enrique Fernández-Blanco, Julián Dorado de la Calle: Computer Morphogenesis in Self-Organizing Structures. Encyclopedia of Artificial Intelligence 2009: 377-382

Mónica Miguélez Rico, José Antonio Seoane Fernández, Julián Dorado de la Calle: Ontologies and Processing Patterns for Microarrays. Encyclopedia of Artificial Intelligence 2009: 1273-1277

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

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

Marcos Gestal, María Paz Gómez-Carracedo, José Manuel Andrade, Julian Dorado, Esther Fernández, Darío Prada, Alejandro Pazos: Selection Of Variables By Genetic Algorithms To Classify Apple Beverages By Artificial Neural Networks. Applied Artificial Intelligence 19(2): 181-198 (2005)

David Rey, José Crespo, Alberto Anguita, Juan Luis Pérez Ordóñez, Julian Dorado, Gloria Bueno, Vicente Feliú Batlle, Antonio Estruch, José Antonio Heredia: Biomedical Image Processing Integration Through INBIOMED: A Web Services-Based Platform. ISBMDA 2005: 34-43

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

Marcos Gestal, Julio Brégains, Juan Antonio Rodríguez, Julian Dorado: Neural Networks & Antennas Design: An Application for Avoiding Interferences. IWANN (2) 2003: 750-757

Antonino Santos, Bernardino Arcay Varela, Julian Dorado, A. B. Rodríguez, Alejandro Pazos: Artificial Neural Networks Manipulation Server: Research on the Integration of Databases and Artificial Neural Networks. Neural Computing and Applications 11(1): 3-16 (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: 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

Javier Pereira Loureiro, Alejandro Lamelo, José Manuel Vázquez-Naya, Mario Fernández, Julian Dorado, Antonino Santos, Jorge Teijeiro Vidal, Alejandro Pazos: Analysis of Medical Diagnostic Images via the Implementation and Access to a Safe DICOM PACS with a Web Interface: Analysis of Contrast-Enhanced CT Imaging of Oral and Oropharyngeal Carcinomas. ISMDA 2001: 213-218

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)