José Manuel Gutiérrez

Publication Activity (10 Years)

Years Active: 1995-2023
Publications (10 Years): 7

Top Topics

Bayesian Network Structure

Statistical Data

Hybrid Algorithms

Structure Learning

Top Venues

Environ. Model. Softw.

Ann. Oper. Res.

Publications

Jorge Luis Baño-Medina, Maialen Iturbide, Jesús Fernández, José Manuel Gutiérrez
Transferability and explainability of deep learning emulators for regional climate model projections: Perspectives for future applications. CoRR (2023)
Catharina Elisabeth Graafland, José Manuel Gutiérrez
Learning complex dependency structure of gene regulatory networks from high dimensional micro-array data with Gaussian Bayesian networks. CoRR (2021)
Joaquín Bedia, Daniel San Martín Segura, Maialen Iturbide, Sixto Herrera García, Rodrigo Manzanas, José Manuel Gutiérrez
The METACLIP semantic provenance framework for climate products. Environ. Model. Softw. 119 (2019)
Marco Scutari, Catharina Elisabeth Graafland, José Manuel Gutiérrez
Who learns better Bayesian network structures: Accuracy and speed of structure learning algorithms. Int. J. Approx. Reason. 115 (2019)
Marco Scutari, Catharina Elisabeth Graafland, José Manuel Gutiérrez
Who Learns Better Bayesian Network Structures: Constraint-Based, Score-based or Hybrid Algorithms? PGM (2018)
Maialen Iturbide, Joaquín Bedia, José Manuel Gutiérrez
Tackling Uncertainties of Species Distribution Model Projections with Package mopa. R J. 10 (1) (2018)
María Dolores Frías, Maialen Iturbide, Rodrigo Manzanas, Joaquín Bedia, Jesús Fernández, Sixto Herrera García, Antonio S. Cofiño, José Manuel Gutiérrez
An R package to visualize and communicate uncertainty in seasonal climate prediction. Environ. Model. Softw. 99 (2018)
José Manuel Gutiérrez
Majorization comparison of closed list electoral systems through a matrix theorem. Ann. Oper. Res. 235 (1) (2015)
José Manuel Gutiérrez, D. San-Martín, Silvia Ortin, Luis Pesquera
Simple reservoirs with chain topology based on a single time-delay nonlinear node. ESANN (2012)
V. Fernández-Quiruelas, Jesús Fernández, Antonio S. Cofiño, Lluis Fita, José Manuel Gutiérrez
Benefits and requirements of grid computing for climate applications. An example with the community atmospheric model. Environ. Model. Softw. 26 (9) (2011)
José Manuel Gutiérrez
A characterization of compactness through preferences. Math. Soc. Sci. 57 (1) (2009)
V. Fernández-Quiruelas, Jesús Fernández, C. Baeza, Antonio S. Cofiño, José Manuel Gutiérrez
Execution management in the GRID, for sensitivity studies of global climate simulations. Earth Sci. Informatics 2 (1-2) (2009)
V. Fernández-Quiruelas, Jesús Fernández, Antonio S. Cofiño, C. Baeza, F. García-Torre, R. M. San Martín, R. Abarca, José Manuel Gutiérrez
Complex Workflow Management of the CAM Global Climate Model on the GRID. ICCS (3) (2008)
Antonio S. Cofiño, D. San-Martín, José Manuel Gutiérrez
A Web Portal for Regional Projection of Weather Forecast Using GRID Middleware. International Conference on Computational Science (3) (2007)
Antonio S. Cofiño, José Manuel Gutiérrez, María L. Ivanissevich
Evolving modular networks with genetic algorithms: application to nonlinear time series. Expert Syst. J. Knowl. Eng. 21 (4) (2004)
Francisco Luengo, Antonio S. Cofiño, José Manuel Gutiérrez
GRID Oriented Implementation of Self-organizing Maps for Data Mining in Meteorology. European Across Grids Conference (2003)
Antonio S. Cofiño, R. Cano, C. Sordo, José Manuel Gutiérrez
Bayesian Networks for Probabilistic Weather Prediction. ECAI (2002)
Enrique F. Castillo, José Manuel Gutiérrez, Ali S. Hadi, Beatriz Lacruz
Some Applications of Functional Networks in Statistics and Engineering. Technometrics 43 (1) (2001)
Antonio S. Cofiño, José Manuel Gutiérrez
Optimal Modular Feedforward Neural Nets Based on Functional Network Architectures. IWANN (1) (2001)
José Manuel Gutiérrez, Antonio S. Cofiño, María L. Ivanissevich
A Hybrid Evolutive-Genetic Strategy for the Inverse Fractal Problem of IFS Models. IBERAMIA-SBIA (2000)
Enrique F. Castillo, José Manuel Gutiérrez, Angel Cobo, Carmen Castillo
A Minimax Method for Learning Functional Networks. Neural Process. Lett. 11 (1) (2000)
Enrique F. Castillo, Angel Cobo, José Manuel Gutiérrez, Rosa Eva Pruneda
Functional networks with applications: a neural-based paradigm [Book Review]. IEEE Trans. Neural Networks 10 (4) (1999)
Enrique F. Castillo, José Manuel Gutiérrez, Ali S. Hadi
Improving Search-Based Inference in Bayesian Networks. FLAIRS Conference (1998)
Enrique F. Castillo, José Manuel Gutiérrez, Ali S. Hadi
Sensitivity analysis in discrete Bayesian networks. IEEE Trans. Syst. Man Cybern. Part A 27 (4) (1997)
Enrique F. Castillo, José Manuel Gutiérrez, Ali S. Hadi, Cristina Solares
Symbolic propagation and sensitivity analysis in Gaussian Bayesian networks with application to damage assessment. Artif. Intell. Eng. 11 (2) (1997)
Enrique F. Castillo, José Manuel Gutiérrez, Ali S. Hadi
Goal Oriented Symbolic Propagation in Bayesian Networks. AAAI/IAAI, Vol. 2 (1996)
Enrique F. Castillo, José Manuel Gutiérrez, Ali S. Hadi
A new method for efficient symbolic propagation in discrete Bayesian networks. Networks 28 (1) (1996)
Remco R. Bouckaert, Enrique F. Castillo, José Manuel Gutiérrez
A modified simulation scheme for inference in Bayesian networks. Int. J. Approx. Reason. 14 (1) (1996)
Enrique F. Castillo, José Manuel Gutiérrez, Ali S. Hadi
Parametric Structure of Probabilities in Bayesian Networks. ECSQARU (1995)