Julio Ortega

Publication Activity (10 Years)

Years Active: 1995-2021
Publications (10 Years): 36

Top Topics

Bayesian Classifiers

Feature Selection

Top Venues

J. Supercomput.

Publications

Juan Carlos Gómez-López, Juan José Escobar, Jesús González, Francisco Gil Montoya, Julio Ortega, Mike Burmester, Miguel Damas
Energy-Time Profiling for Machine Learning Methods to EEG Classification. BIOMESIP (2021)
Jesús González, Julio Ortega, Juan José Escobar, Miguel Damas
A lexicographic cooperative co-evolutionary approach for feature selection. Neurocomputing 463 (2021)
Alberto Ortega, Juan José Escobar, Julio Ortega, Jesús González, Alfredo Alcayde, Jorge Munilla, Miguel Damas
Performance Study of Ant Colony Optimization for Feature Selection in EEG Classification. BIOMESIP (2021)
D. A. Aquino-Britez, Andrés Ortiz, Julio Ortega, Javier León, Marco A. Formoso, John Q. Gan, Juan José Escobar
Optimization of Deep Architectures for EEG Signal Classification: An AutoML Approach Using Evolutionary Algorithms. Sensors 21 (6) (2021)
Javier León, Juan José Escobar, Jesús González, Julio Ortega, Francisco Manuel Arrabal-Campos, Andrés Ortiz, Miguel Damas
Recurrent Neural Networks and Efficiency in High-Dimensional EEG Classification. BIOMESIP (2021)
Andrés Ortiz, Francisco Jesús Martínez-Murcia, Juan Luis Luque, Almudena Giménez, Roberto Cesar Morales-Ortega, Julio Ortega
Dyslexia Diagnosis by EEG Temporal and Spectral Descriptors: An Anomaly Detection Approach. Int. J. Neural Syst. 30 (7) (2020)
Javier León, Andrés Ortiz, Miguel Damas, Jesús González, Julio Ortega
Cost-Efficiency of Convolutional Neural Networks for High-Dimensional EEG Classification. HAIS (2020)
Juan José Escobar, Julio Ortega, Antonio Francisco Díaz, Jesús González, Miguel Damas
A parallel and distributed multi-population GA with asynchronous migrations: energy-time analysis for heterogeneous systems. GECCO Companion (2020)
Johan Mardini-Bovea, Emiro de la Hoz Franco, Diego Molina-Estren, Paola Ariza Colpas, Andrés Ortiz, Julio Ortega, César A. Cárdenas R., Carlos Andrés Collazos Morales
Bayesian Classifiers in Intrusion Detection Systems. MLN (2019)
Francisco Jesús Martínez-Murcia, Andrés Ortiz, Roberto Cesar Morales-Ortega, Pedro Javier Lopez-Abarejo, Juan Luis Luque, Diego Castillo-Barnes, Fermín Segovia, Ignacio A. Illán, Julio Ortega, Javier Ramírez, Juan Manuel Górriz
Periodogram Connectivity of EEG Signals for the Detection of Dyslexia. IWINAC (1) (2019)
Javier León, Julio Ortega, Andrés Ortiz
Convolutional Neural Networks and Feature Selection for BCI with Multiresolution Analysis. IWANN (1) (2019)
Juan José Escobar, Julio Ortega, Antonio F. Díaz, Jesús González, Miguel Damas
Time-energy analysis of multilevel parallelism in heterogeneous clusters: the case of EEG classification in BCI tasks. J. Supercomput. 75 (7) (2019)
Pablo García-Sánchez, Julio Ortega, Jesús González, Pedro A. Castillo, Juan Julián Merelo Guervós
Distributed multi-objective evolutionary optimization using island-based selective operator application. Appl. Soft Comput. 85 (2019)
Andrés Ortiz, Pedro Javier Lopez-Abarejo, Juan Luis Luque, Francisco Jesús Martínez-Murcia, D. A. Aquino-Britez, Julio Ortega
An Anomaly Detection Approach for Dyslexia Diagnosis Using EEG Signals. IWINAC (1) (2019)
Jesús González, Julio Ortega, Miguel Damas, Pedro Martín-Smith, John Q. Gan
A new multi-objective wrapper method for feature selection - Accuracy and stability analysis for BCI. Neurocomputing 333 (2019)
Juan José Escobar, Julio Ortega, Miguel Damas, Rukiye Savran Kiziltepe, John Q. Gan
Energy-Time Analysis of Convolutional Neural Networks Distributed on Heterogeneous Clusters for EEG Classification. IWANN (2) (2019)
Salvador Moreno, Julio Ortega, Miguel Damas, Antonio F. Díaz, Jesús González, Héctor Pomares
Prediction of energy consumption in a NSGA-II-based evolutionary algorithm. GECCO (Companion) (2018)
Juan José Escobar, Julio Ortega, Antonio Francisco Díaz, Jesús González, Miguel Damas
A Power-Performance Perspective to Multiobjective Electroencephalogram Feature Selection on Heterogeneous Parallel Platforms. J. Comput. Biol. 25 (8) (2018)
Juan José Escobar, Julio Ortega, Antonio Francisco Díaz, Jesús González, Miguel Damas
Speedup and Energy Analysis of EEG Classification for BCI Tasks on CPU-GPU Clusters. PBio@EuroMPI (2018)
Juan José Escobar, Julio Ortega, Antonio Francisco Díaz, Jesús González, Miguel Damas
Multi-objective feature selection for EEG classification with multi-level parallelism on heterogeneous CPU-GPU clusters. GECCO (Companion) (2018)
Daniel Sánchez Morillo, Jesús González, Marcial García-Rojo, Julio Ortega
Classification of Breast Cancer Histopathological Images Using KAZE Features. IWBBIO (2) (2018)
Julio Ortega, Andrés Ortiz, Pedro Martín-Smith, John Q. Gan, Jesús González Peñalver
Deep Belief Networks and Multiobjective Feature Selection for BCI with Multiresolution Analysis. IWANN (1) (2017)
Julio Ortega, Dragi Kimovski, John Q. Gan, Andrés Ortiz, Miguel Damas
A Parallel Island Approach to Multiobjective Feature Selection for Brain-Computer Interfaces. IWANN (1) (2017)
Pedro Martín-Smith, Julio Ortega, Javier Asensio-Cubero, John Q. Gan, Andrés Ortiz
A supervised filter method for multi-objective feature selection in EEG classification based on multi-resolution analysis for BCI. Neurocomputing 250 (2017)
Juan José Escobar, Julio Ortega, Jesús González, Miguel Damas, Beatriz Prieto
Issues on GPU Parallel Implementation of Evolutionary High-Dimensional Multi-objective Feature Selection. EvoApplications (1) (2017)
Juan José Escobar, Julio Ortega, Jesús González, Miguel Damas, Antonio F. Díaz
Parallel high-dimensional multi-objective feature selection for EEG classification with dynamic workload balancing on CPU-GPU architectures. Clust. Comput. 20 (3) (2017)
Juan José Escobar, Julio Ortega, Antonio Francisco Díaz, Jesús González, Miguel Damas
Power-Performance Evaluation of Parallel Multi-objective EEG Feature Selection on CPU-GPU Platforms. ICA3PP (2017)
Raúl H. Palacios, Cristina Rodríguez-Quintana, Antonio F. Díaz, Mancia Anguita, Julio Ortega
Evaluation of redundant data storage in clusters based on multi-multicast and local storage. J. Supercomput. 73 (1) (2017)
Raúl H. Palacios, Antonio F. Díaz, Mancia Anguita, Julio Ortega, Cristina Rodríguez-Quintana
High-throughput multi-multicast transfers in data center networks. J. Supercomput. 73 (1) (2017)
Juan José Escobar, Julio Ortega, Jesús González, Miguel Damas
Assessing Parallel Heterogeneous Computer Architectures for Multiobjective Feature Selection on EEG Classification. IWBBIO (2016)
Pablo García-Sánchez, Julio Ortega, Jesús González, Pedro A. Castillo, Juan Julián Merelo Guervós
Addressing High Dimensional Multi-objective Optimization Problems by Coevolutionary Islands with Overlapping Search Spaces. EvoApplications (2) (2016)
Juan José Escobar, Julio Ortega, Jesús González, Miguel Damas
Improving Memory Accesses for Heterogeneous Parallel Multi-objective Feature Selection on EEG Classification. Euro-Par Workshops (2016)
Antonio F. Díaz, Ilia Blokhin, Julio Ortega, Raúl H. Palacios, Cristina Rodríguez-Quintana, Juan Díaz-García
Secure Data Access in Hadoop Using Elliptic Curve Cryptography. ICA3PP Workshops (2016)
Raul Baños, Julio Ortega, Consolación Gil, Francisco de Toro, Maria Dolores Gil Montoya
Analysis of OpenMP and MPI implementations of meta-heuristics for vehicle routing problems. Appl. Soft Comput. 43 (2016)
Cristina Rodríguez-Quintana, Antonio F. Díaz, Julio Ortega, Raúl H. Palacios, Andrés Ortiz
A New Scalable Approach for Distributed Metadata in HPC. ICA3PP (2016)
Julio Ortega, Javier Asensio-Cubero, John Q. Gan, Andrés Ortiz
Evolutionary Multiobjective Feature Selection in Multiresolution Analysis for BCI. IWBBIO (1) (2015)
Andrés Ortiz, Julio Ortega, Antonio F. Díaz, Alberto Prieto
Modeling Network Behaviour By Full-System Simulation. J. Softw. 2 (2) (2007)
Juan Manuel Górriz, Carlos García Puntonet, Moisés Salmerón, Julio Ortega
On-line support vector machines and optimization strategies. ESANN (2004)
Raul Baños, Consolación Gil, Maria Dolores Gil Montoya, Julio Ortega
A New Pareto-Based Algorithm for Multi-objective Graph Partitioning. ISCIS (2004)
Raul Baños, Consolación Gil, Julio Ortega, Francisco G. Montoya
Parallel Heuristic Search in Multilevel Graph Partitioning. PDP (2004)
Raul Baños, Consolación Gil, Julio Ortega, Francisco G. Montoya
Multilevel Heuristic Algorithm for Graph Partitioning. EvoWorkshops (2003)
Juan Manuel Górriz Sáez, Carlos García Puntonet, Moisés Salmerón, Julio Ortega
New Method for Filtered ICA Signals Applied to Volatile Time Series. IWANN (2) (2003)
Moisés Salmerón, Julio Ortega, Carlos García Puntonet, Miguel Damas
Parallel Computation of an Adaptive Optimal RBF Network Predictor. IWANN (2) (2003)
Raul Baños, Consolación Gil, Julio Ortega, Francisco G. Montoya
Optimising Graph Partitions Using Parallel Evolution. Artificial Evolution (2003)
Jesús González, Ignacio Rojas, Héctor Pomares, Julio Ortega
Studying the Convergence of the CFA Algorithm. IWANN (1) (2003)
Jesús González, Ignacio Rojas, Héctor Pomares, Julio Ortega
Designing a Phenotypic Distance Index for Radial Basis Function Neural Networks. IWANN (1) (2003)
Moisés Salmerón, Julio Ortega, Carlos García Puntonet, Alberto Prieto, Ignacio Rojas
SSA, SVD, QR-cp, and RBF Model Reduction. ICANN (2002)
Moisés Salmerón, Alberto Prieto, Julio Ortega, Carlos García Puntonet, Manuel Rodríguez Álvarez
Orthogonal transformations for optimal time series prediction. ESANN (2002)
Fernando Rojas, Carlos García Puntonet, Ignacio Rojas, Julio Ortega, Arieto Prieto
Genetic algorithm approach to nonlinear blind source separation. IEEE Congress on Evolutionary Computation (2002)
José Luis Bernier, Jesús González, Antonio Cañas, Antonio F. Díaz, F. J. Fernández, Julio Ortega
Evaluating the impact of multiplicative input perturbations on radial basis function networks. ESANN (2002)
Javier Fernández, Antonio Cañas, Antonio F. Díaz, Jesús González, Julio Ortega, Alberto Prieto
Performance of Message-Passing MATLAB Toolboxes. VECPAR (2002)
Jesús González, Ignacio Rojas, Héctor Pomares, Julio Ortega
RBF Neural Networks, Multiobjective Optimization and Time Series Forecasting. IWANN (1) (2001)
Miguel Damas, Moisés Salmerón, Julio Ortega
ANNs and GAs for Predictive Controlling of Water Supply Networks. IJCNN (4) (2000)
Ignacio Rojas, Héctor Pomares, Jesús González, Eduardo Ros, Moisés Salmerón, Julio Ortega, Alberto Prieto
A New Radial Basis Function Networks Structure: Application to Time Series Prediction. IJCNN (4) (2000)
Consolación Gil, Julio Ortega, Maria Dolores Gil Montoya
Parallel VLSI test in a shared-memory multiprocessor. Concurr. Pract. Exp. 12 (5) (2000)
Julio Ortega, José Luis Bernier, Antonio F. Díaz, Ignacio Rojas, Moisés Salmerón, Alberto Prieto
Parallel combinatorial optimization with evolutionary cooperation between processors. CEC (1999)
José Luis Bernier, Julio Ortega, M. M. Rodríguez, Ignacio Rojas, Alberto Prieto
An Accurate Measure for Multilayer Perception Tolerance to Additive Weight Deviations. IWANN (2) (1999)
José Luis Bernier, Julio Ortega, Eduardo Ros, Ignacio Rojas, Alberto Prieto
A New Measurement of Noise Immunity and Generalization Ability for MLPs. Int. J. Neural Syst. 9 (6) (1999)
Moisés Salmerón, Julio Ortega, Carlos García Puntonet
On-Line Optimization of Radial Basis Function Networks with Orthogonal Techniques. IWANN (1) (1999)
Julio Ortega, Luis Parrilla, José Luis Bernier, Consolación Gil, Begoña Pino, Mancia Anguita
Adaptive Cooperation Between Processors in a Parallel Boltzmann Machine. IWANN (2) (1999)
Ignacio Rojas, Héctor Pomares, Julio Ortega, Eduardo Ros Vidal, Alberto Prieto
Sequential Learning Algorithm for PG-RBF Network Using Regression Weights for Time Series Prediction. IWANN (1) (1999)
Consolación Gil, Julio Ortega, Antonio F. Díaz, Maria Dolores Gil Montoya
Meta-heuristics for Circuit Partitioning in Parallel Test Generation. IPPS/SPDP Workshops (1998)
Consolación Gil, Julio Ortega, Antonio F. Díaz, Maria Dolores Gil Montoya, Alberto Prieto
Load Balancing in Parallel Circuit Testing with Annealing-Based and Genetic Algorithms. PPSN (1998)
Consolación Gil, Julio Ortega
Parallel test generation using circuit partitioning and spectral techniques. PDP (1998)
Consolación Gil, Julio Ortega, José Luis Bernier, Maria Dolores Gil Montoya
Parallel Test Pattern Generation Using Circuit Partitioning in a Shared-Memory Multiprocessor. PARA (1998)
José Luis Bernier, Julio Ortega, Alberto Prieto
A Modified Backpropagation Algorithm to Tolerate Weight Errors. IWANN (1997)
Consolación Gil, Julio Ortega
A parallel test-pattern generator based on spectral techniques. PDP (1997)
José Luis Bernier, Juan Julián Merelo Guervós, Julio Ortega, Alberto Prieto
Test Pattern Generation for Analog Circuits Using Neural Networks and Evolutive Algorithms. IWANN (1995)