José M. Urquiza

According to our database, José M. Urquiza authored at least 22 papers between 2001 and 2015.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2015

Penalty: finite element approximation of Stokes equations with slip boundary conditions.

Ibrahima Dione, José M. Urquiza

Numerische Mathematik, 2015

2014

Weak imposition of the slip boundary condition on curved boundaries for Stokes flow.

José M. Urquiza, André Garon, Marie-Isabelle Farinas

J. Comput. Phys., 2014

2013

An effective, practical and low computational cost framework for the integration of heterogeneous data to predict functional associations between proteins by means of Artificial Neural Networks.

Javier Perez-Florido, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Francisco M. Ortuño Guzman, José M. Urquiza

Neurocomputing, 2013

Optimizing multiple sequence alignments using a genetic algorithm based on three objectives: structural information, non-gaps percentage and totally conserved columns.

Francisco M. Ortuño Guzman, Olga Valenzuela, Fernando Rojas, Héctor Pomares, Javier Perez-Florido, José M. Urquiza, Ignacio Rojas

Bioinform., 2013

Finite element approximations of the Lamé system with penalized ideal contact boundary conditions.

Ibrahima Dione, José M. Urquiza

Appl. Math. Comput., 2013

2012

A deterministic model selection scheme for incremental RBFNN construction in time series forecasting.

J. P. Florido, Héctor Pomares, Ignacio Rojas, José M. Urquiza, M. A. Lopez-Gordo

Neural Comput. Appl., 2012

Selecting Negative Samples for PPI Prediction Using Hierarchical Clustering Methodology.

José M. Urquiza, Ignacio Rojas, Héctor Pomares, Luis Javier Herrera, Javier Perez-Florido, Olga Valenzuela

J. Appl. Math., 2012

Using machine learning techniques and genomic/proteomic information from known databases for defining relevant features for PPI classification.

José M. Urquiza, Ignacio Rojas, Héctor Pomares, Luis Javier Herrera, J. P. Florido, Olga Valenzuela, Maria del Mar Cepero

Comput. Biol. Medicine, 2012

Optimization of multiple sequence alignment methodologies using a multiobjective evolutionary algorithm based on NSGA-II.

Francisco M. Ortuño Guzman, Javier Perez-Florido, José M. Urquiza, Héctor Pomares, Alberto Prieto, Ignacio Rojas

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011

Method for prediction of protein-protein interactions in yeast using genomics/proteomics information and feature selection.

José M. Urquiza, Ignacio Rojas, Héctor Pomares, Luis Javier Herrera, Julio Ortega Lopera, Alberto Prieto

Neurocomputing, 2011

Global and local modelling in RBF networks.

Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Ginés Rubio, José M. Urquiza

Neurocomputing, 2011

Using Machine Learning Techniques and Genomic/Proteomic Information from Known Databases for PPI Prediction.

José M. Urquiza, Ignacio Rojas, Héctor Pomares, Luis Javier Herrera, J. P. Florido, Francisco M. Ortuño Guzman

Proceedings of the 5th International Conference on Practical Applications of Computational Biology & Bioinformatics, 2011

Emerging Methodologies in Multiple Sequence Alignment Using High Throughput Data.

Francisco M. Ortuño Guzman, Ignacio Rojas, Héctor Pomares, José M. Urquiza, J. P. Florido

Proceedings of the 5th International Conference on Practical Applications of Computational Biology & Bioinformatics, 2011

Prediction of Functional Associations between Proteins by Means of a Cost-Sensitive Artificial Neural Network.

J. P. Florido, Héctor Pomares, Ignacio Rojas, José M. Urquiza, Francisco M. Ortuño Guzman

Proceedings of the Advances in Computational Intelligence, 2011

2009

Evidences of cognitive effects over auditory steady-state responses by means of artificial neural networks and its use in brain-computer interfaces.

Miguel Ángel López, Héctor Pomares, Francisco J. Pelayo, José M. Urquiza, Javier Perez

Neurocomputing, 2009

Method for Prediction of Protein-Protein Interactions in Yeast Using Genomics/Proteomics Information and Feature Selection.

José M. Urquiza, Ignacio Rojas, Héctor Pomares, J. P. Florido, Ginés Rubio, Luis Javier Herrera, José C. Calvo, Julio Ortega Lopera

Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Global and Local Modelling in Radial Basis Functions Networks.

Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Ginés Rubio, José M. Urquiza

Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

On Selecting the Best Pre-processing Method for Affymetrix Genechips.

J. P. Florido, Héctor Pomares, Ignacio Rojas, José C. Calvo, José M. Urquiza, M. Gonzalo Claros

Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Protein Structure Prediction by Evolutionary Multi-objective Optimization: Search Space Reduction by Using Rotamers.

José C. Calvo, Julio Ortega Lopera, Mancia Anguita, José M. Urquiza, J. P. Florido

Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

2007

On The Eigenvalues of the Spectral Second Order Differentiation Operator and Application to the Boundary Observability of the Wave Equation.

Tahar Zamène Boulmezaoud, José M. Urquiza

J. Sci. Comput., 2007

2001

A Physiologically-Based Model for the Active Cardiac Muscle Contraction.

Dominique Chapelle, Frédérique Clément, Frank Génot, Patrick Le Tallec, Michel Sorine, José M. Urquiza

Proceedings of the Functional Imaging and Modeling of the Heart, 2001

Towards Model-Based Estimation of the Cardiac Electro-Mechanical Activity from ECG Signals and Ultrasound Images.

Nicholas Ayache, Dominique Chapelle, Frédérique Clément, Yves Coudière, Hervé Delingette, Jean-Antoine Désidéri, Maxime Sermesant, Michel Sorine, José M. Urquiza

Proceedings of the Functional Imaging and Modeling of the Heart, 2001