Julio Ortega
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Neural networks: An overview of early research, current frameworks and new challenges
A Prieto, B Prieto, EM Ortigosa, E Ros, F Pelayo, J Ortega, I Rojas
Neurocomputing 214, 242-268, 2016
Multiobjective evolutionary optimization of the size, shape, and position parameters of radial basis function networks for function approximation
J González, I Rojas, J Ortega, H Pomares, FJ Fernandez, AF Díaz
IEEE Transactions on Neural Networks 14 (6), 1478-1495, 2003
Feature selection by multi-objective optimisation: Application to network anomaly detection by hierarchical self-organising maps
E De la Hoz, E De La Hoz, A Ortiz, J Ortega, A Martínez-Álvarez
Knowledge-Based Systems 71, 322-338, 2014
PCA filtering and probabilistic SOM for network intrusion detection
E De la Hoz, E De La Hoz, A Ortiz, J Ortega, B Prieto
Neurocomputing 164, 71-81, 2015
A hybrid meta-heuristic for multi-objective vehicle routing problems with time windows
R Baños, J Ortega, C Gil, AL Márquez, F De Toro
Computers & industrial engineering 65 (2), 286-296, 2013
Self-organized fuzzy system generation from training examples
I Rojas, H Pomares, J Ortega, A Prieto
IEEE transactions on fuzzy systems 8 (1), 23-36, 2000
Time series analysis using normalized PG-RBF network with regression weights
I Rojas, H Pomares, JL Bernier, J Ortega, B Pino, FJ Pelayo, A Prieto
Neurocomputing 42 (1-4), 267-285, 2002
A simulated annealing-based parallel multi-objective approach to vehicle routing problems with time windows
R Baños, J Ortega, C Gil, A Fernández, F De Toro
Expert Systems with Applications 40 (5), 1696-1707, 2013
A new clustering technique for function approximation
J González, H Rojas, J Ortega, A Prieto
IEEE Transactions on Neural Networks 13 (1), 132-142, 2002
A systematic approach to a self-generating fuzzy rule-table for function approximation
H Pomares, I Rojas, J Ortega, J Gonzalez, A Prieto
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 30 …, 2000
A new multi-objective wrapper method for feature selection–accuracy and stability analysis for BCI
J González, J Ortega, M Damas, P Martín-Smith, JQ Gan
Neurocomputing 333, 407-418, 2019
PSFGA: a parallel genetic algorithm for multiobjective optimization
F De Toro, J Ortega, J Fernández, A Díaz
Proceedings 10th Euromicro Workshop on Parallel, Distributed and Network …, 2002
A single front genetic algorithm for parallel multi-objective optimization in dynamic environments
M Cámara, J Ortega, F de Toro
Neurocomputing 72 (16-18), 3570-3579, 2009
Accelerating OpenFlow switching with network processors
Y Luo, P Cascon, E Murray, J Ortega
Proceedings of the 5th ACM/IEEE Symposium on Architectures for Networking …, 2009
Separation of sources: A geometry-based procedure for reconstruction of n-valued signals
CG Puntonet, A Prieto, C Jutten, M Rodriguez-Alvarez, J Ortega
Signal Processing 46 (3), 267-284, 1995
PSFGA: Parallel processing and evolutionary computation for multiobjective optimisation
F de Toro Negro, J Ortega, E Ros, S Mota, B Paechter, JM Martın
Parallel Computing 30 (5-6), 721-739, 2004
A quantitative study of fault tolerance, noise immunity, and generalization ability of MLPs
JL Bernier, J Ortega, E Ros, I Rojas, A Prieto
Neural Computation 12 (12), 2941-2964, 2000
Improved RAN sequential prediction using orthogonal techniques
M Salmeron, J Ortega, CG Puntonet, A Prieto
Neurocomputing 41 (1-4), 153-172, 2001
Parallel processing for multi-objective optimization in dynamic environments
M Cámara, J Ortega, FJ Toro
2007 IEEE International Parallel and Distributed Processing Symposium, 1-8, 2007
Deep learning for EEG-based Motor Imagery classification: Accuracy-cost trade-off
J León, JJ Escobar, A Ortiz, J Ortega, J González, P Martín-Smith, JQ Gan, ...
Plos one 15 (6), e0234178, 2020
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