José Luis Bernier

发表

Adaptive Cooperation Between Processors in a Parallel Boltzmann Machine

Mancia Anguita, Julio Ortega, Consolación Gil, 1999, IWANN.

Author ' s personal copy Superpipelined high-performance optical-flow computation architecture

José Luis Bernier, Rodrigo Agís, Javier Diaz, 2008 .

Applications in Bio-informatics and Biomedical Engineering

Héctor Pomares, Ignacio Rojas, Olga Valenzuela, 2009, IWANN.

Advanced Soft-Computing techniques and Clustering Algorithm for Gene Expression Microarray Data Classification.

Ignacio Rojas, Alberto Guillén, Luis Javier Herrera, 2014 .

A New Measurement of Noise Immunity and Generalization Ability for MLPs

Eduardo Ros, Julio Ortega, José Luis Bernier, 1999, Int. J. Neural Syst..

Time series analysis using normalized PG-RBF network with regression weights

Héctor Pomares, Ignacio Rojas, Julio Ortega Lopera, 2002, Neurocomputing.

Evolving Machine Microprograms: Application to the CODE2 Microarchitecture

Juan Julián Merelo Guervós, Antonio Mora García, Pedro Ángel Castillo Valdivieso, 2008, DCAI.

Evaluating the impact of multiplicative input perturbations on radial basis function networks

Antonio F. Díaz, Antonio Cañas, F. J. Fernández, 2002, ESANN.

An Accurate Measure for Multilayer Perceptron Tolerance to Weight Deviations

Ignacio Rojas, Julio Ortega Lopera, Alberto Prieto, 1999, Neural Processing Letters.

A Modified Backpropagation Algorithm to Tolerate Weight Errors

Alberto Prieto, Julio Ortega, José Luis Bernier, 1997, IWANN.

Obtaining Fault Tolerant Multilayer Perceptrons Using an Explicit Regularization

Ignacio Rojas, Julio Ortega Lopera, Alberto Prieto, 2000, Neural Processing Letters.

Test Pattern Generation for Analog Circuits Using Neural Networks and Evolutive Algorithms

Juan Julián Merelo Guervós, Alberto Prieto, Julio Ortega, 1995, IWANN.

Evolving machine microprograms

Juan Julián Merelo Guervós, Alberto Prieto, Antonio Mora García, 2008, GECCO '08.

Superpipelined high-performance optical-flow computation architecture

Javier Díaz, Eduardo Ros, José Luis Bernier, 2008, Comput. Vis. Image Underst..

INTELLIGENT SYSTEM BASED ON GENETIC PROGRAMMING FOR ATRIAL FIBRILLATION CLASSIFICATION

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2009, Appl. Artif. Intell..

SOAP vs REST: Comparing a master-slave GA implementation pdf

Juan Julián Merelo Guervós, Pedro A. Castillo, Maribel García Arenas, 2011, ArXiv.

Stimulus Correlation and Adaptive Motion Detection Using Spiking Neurons

Ignacio Rojas, Alberto Prieto, Eduardo Ros, 1999, Int. J. Neural Syst..

Assessing the Noise Immunity of Radial Basis Function Neural Networks

Julio Ortega Lopera, Antonio Cañas, José Luis Bernier, 2001, IWANN.

ECG Characterization of paroxysmal atrial fibrillation: parameter extraction and automatic diagnosis algorithm

F. J. Fernández, Eduardo Ros, Sonia Mota, 2004, Comput. Biol. Medicine.

Skin Lesions Diagnosis Based on Fluorescence Image Processing: Simple Parameters Scanning

Ignacio Rojas, Eduardo Ros, Sonia Mota, 2003, IbPRIA.

SCE Toolboxes for the Development of High-Level Parallel Applications

Mancia Anguita, Eduardo Ros, José Luis Bernier, 2006, International Conference on Computational Science.

Improving the tolerance of multilayer perceptrons by minimizing the statistical sensitivity to weight deviations

Ignacio Rojas, Julio Ortega Lopera, Alberto Prieto, 2000, Neurocomputing.

Using intelligent system for medical decision-making to magnetic resonance imaging

Héctor Pomares, Alberto Guillén, Luis Javier Herrera, 2013, IWBBIO.

Analysis of the Functional Block Involved in the Design of Radial Basis Function Networks

Héctor Pomares, Ignacio Rojas, Alberto Prieto, 2000, Neural Processing Letters.

An Accurate Measure for Multilayer Perception Tolerance to Additive Weight Deviations

Ignacio Rojas, Alberto Prieto, Julio Ortega, 1999, IWANN.

Solving Master Mind Using GAs and Simulated Annealing: A Case of Dynamic Constraint Optimization

Juan Julián Merelo Guervós, Alberto Prieto, José Luis Bernier, 1996, PPSN.

A Quantitative Study of Fault Tolerance, Noise Immunity, and Generalization Ability of MLPs

Ignacio Rojas, Julio Ortega Lopera, Alberto Prieto, 2000, Neural Computation.

The synergy between multideme genetic algorithms and fuzzy systems

Ignacio Rojas, Carlos García Puntonet, José Luis Bernier, 2001, ESANN.

Web site Prototype Design to Suit the Education and Research Pur- poses of University Departments

José Luis Bernier, B. Prieto, P. Castillo, 2005 .

Parallel combinatorial optimization with evolutionary cooperation between processors

Ignacio Rojas, Antonio F. Díaz, José Luis Bernier, 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).

Distributed Evolutionary Computation Using SOAP and REST Web Services

Pedro A. Castillo, J. J. Merelo, José Luis Bernier, 2012 .

Assessing the Noise Immunity and Generalization of Radial Basis Function Networks

Julio Ortega Lopera, Antonio F. Díaz, Antonio Cañas, 2004, Neural Processing Letters.

Development of Soft-Computing techniques capable of diagnosing Alzheimers Disease in its pre-clinical stage combining MRI and FDG-PET images

Ignacio Rojas, Olga Valenzuela, José Luis Bernier, 2014, IWBBIO.

Neural Networks and Statistics: A Review of the Literature

Sonia Mota, Ignacio Requena, José Luis Bernier, 2004 .

Parallel Test Pattern Generation Using Circuit Partitioning in a Shared-Memory Multiprocessor

Julio Ortega, Maria Dolores Gil Montoya, Consolación Gil, 1998, PARA.

What are the main functional blocks involved in the design of adaptive neuro-fuzzy inference systems?

José Luis Bernier, Manuel Rodríguez Álvarez, Alberto Prieto, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.