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 (FIMH, 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 (FIMH, 2001)

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)

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 (IWANN (1), 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 (IWANN (1), 2009)

Global and Local Modelling in Radial Basis Functions Networks. - Luis Javier Herrera; Héctor Pomares; Ignacio Rojas; Alberto Guillén; Ginés Rubio; José M. Urquiza (IWANN (1), 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 (IWANN (1), 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)

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 (IWANN (2), 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 (PACBB, 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 (PACBB, 2011)

Global and local modelling in RBF networks. - Luis Javier Herrera; Héctor Pomares; Ignacio Rojas; Alberto Guillén; Ginés Rubio; José M. Urquiza (Neurocomputing, 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)

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 (IEEE Congress on Evolutionary Computation, 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)

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)

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)

Finite element approximations of the Lamé system with penalized ideal contact boundary conditions. - Ibrahima Dione; José M. Urquiza (Appl. Math. Comput., 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 001; Héctor Pomares; Javier Perez-Florido; José M. Urquiza; Ignacio Rojas (Bioinform., 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)

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)

Penalty: finite element approximation of Stokes equations with slip boundary conditions. - Ibrahima Dione; José M. Urquiza (Numerische Mathematik, 2015)