Parametric Structure of Probabilities in Bayesian Networks. - Enrique F. Castillo; José Manuel Gutiérrez; Ali S. Hadi (ECSQARU, 1995)

Goal Oriented Symbolic Propagation in Bayesian Networks. - Enrique F. Castillo; José Manuel Gutiérrez; Ali S. Hadi (AAAI/IAAI, Vol. 2, 1996)

A modified simulation scheme for inference in Bayesian networks. - Remco R. Bouckaert; Enrique F. Castillo; José Manuel Gutiérrez (Int. J. Approx. Reason., 1996)

A new method for efficient symbolic propagation in discrete Bayesian networks. - Enrique F. Castillo; José Manuel Gutiérrez; Ali S. Hadi (Networks, 1996)

Symbolic propagation and sensitivity analysis in Gaussian Bayesian networks with application to damage assessment. - Enrique F. Castillo; José Manuel Gutiérrez; Ali S. Hadi; Cristina Solares (Artif. Intell. Eng., 1997)

Sensitivity analysis in discrete Bayesian networks. - Enrique F. Castillo; José Manuel Gutiérrez; Ali S. Hadi (IEEE Trans. Syst. Man Cybern. Part A, 1997)

Expert Systems and Probabilistic Network Models - Enrique F. Castillo; José Manuel Gutiérrez; Ali S. Hadi (Springer, 1997)

Improving Search-Based Inference in Bayesian Networks. - Enrique F. Castillo; José Manuel Gutiérrez; Ali S. Hadi (FLAIRS, 1998)

Functional networks with applications: a neural-based paradigm [Book Review]. - Enrique F. Castillo; Angel Cobo; José Manuel Gutiérrez; Rosa Eva Pruneda (IEEE Trans. Neural Networks, 1999)

A Hybrid Evolutive-Genetic Strategy for the Inverse Fractal Problem of IFS Models. - José Manuel Gutiérrez; Antonio S. Cofiño; María L. Ivanissevich (IBERAMIA-SBIA, 2000)

A Minimax Method for Learning Functional Networks. - Enrique F. Castillo; José Manuel Gutiérrez; Angel Cobo; Carmen Castillo (Neural Process. Lett., 2000)

Optimal Modular Feedforward Neural Nets Based on Functional Network Architectures. - Antonio S. Cofiño; José Manuel Gutiérrez (IWANN (1), 2001)

Some Applications of Functional Networks in Statistics and Engineering. - Enrique F. Castillo; José Manuel Gutiérrez; Ali S. Hadi; Beatriz Lacruz (Technometrics, 2001)

Bayesian Networks for Probabilistic Weather Prediction. - Antonio S. Cofiño; R. Cano; C. Sordo; José Manuel Gutiérrez (ECAI, 2002)

GRID Oriented Implementation of Self-organizing Maps for Data Mining in Meteorology. - Francisco Luengo; Antonio S. Cofiño; José Manuel Gutiérrez (European Across Grids Conference, 2003)

Evolving modular networks with genetic algorithms: application to nonlinear time series. - Antonio S. Cofiño; José Manuel Gutiérrez; María L. Ivanissevich (Expert Syst. J. Knowl. Eng., 2004)

A Web Portal for Regional Projection of Weather Forecast Using GRID Middleware. - Antonio S. Cofiño; Daniel San-Martín; José Manuel Gutiérrez (International Conference on Computational Science (3), 2007)

Complex Workflow Management of the CAM Global Climate Model on the GRID. - V. Fernández-Quiruelas; Jesús Fernández 001; Antonio S. Cofiño; C. Baeza; F. García-Torre; R. M. San Martín; R. Abarca; José Manuel Gutiérrez (ICCS (3), 2008)

Execution management in the GRID, for sensitivity studies of global climate simulations. - V. Fernández-Quiruelas; Jesús Fernández 001; C. Baeza; Antonio S. Cofiño; José Manuel Gutiérrez (Earth Sci. Informatics, 2009)

A characterization of compactness through preferences. - José Manuel Gutiérrez (Math. Soc. Sci., 2009)

Benefits and requirements of grid computing for climate applications. An example with the community atmospheric model. - V. Fernández-Quiruelas; Jesús Fernández 001; Antonio S. Cofiño; Lluis Fita; José Manuel Gutiérrez (Environ. Model. Softw., 2011)

Simple reservoirs with chain topology based on a single time-delay nonlinear node. - José Manuel Gutiérrez; Daniel San-Martín; Silvia Ortin; Luis Pesquera (ESANN, 2012)

Majorization comparison of closed list electoral systems through a matrix theorem. - José Manuel Gutiérrez (Ann. Oper. Res., 2015)

Who Learns Better Bayesian Network Structures: Constraint-Based, Score-based or Hybrid Algorithms? - Marco Scutari; Catharina Elisabeth Graafland; José Manuel Gutiérrez (PGM, 2018)

An R package to visualize and communicate uncertainty in seasonal climate prediction. - María Dolores Frías; Maialen Iturbide; Rodrigo Manzanas; Joaquín Bedia; Jesús Fernández 001; Sixto Herrera; Antonio S. Cofiño; José Manuel Gutiérrez (Environ. Model. Softw., 2018)

Tackling Uncertainties of Species Distribution Model Projections with Package mopa. - Maialen Iturbide; Joaquín Bedia; José Manuel Gutiérrez (R J., 2018)

The METACLIP semantic provenance framework for climate products. - Joaquín Bedia; Daniel San Martín Segura; Maialen Iturbide; Sixto Herrera; Rodrigo Manzanas; José Manuel Gutiérrez (Environ. Model. Softw., 2019)

Who learns better Bayesian network structures: Accuracy and speed of structure learning algorithms. - Marco Scutari; Catharina Elisabeth Graafland; José Manuel Gutiérrez (Int. J. Approx. Reason., 2019)

Learning complex dependency structure of gene regulatory networks from high dimensional micro-array data with Gaussian Bayesian networks. - Catharina Elisabeth Graafland; José Manuel Gutiérrez (CoRR, 2021)

Transferability and explainability of deep learning emulators for regional climate model projections: Perspectives for future applications. - Jorge Luis Baño-Medina; Maialen Iturbide; Jesús Fernández 001; José Manuel Gutiérrez (CoRR, 2023)

Transformer based super-resolution downscaling for regional reanalysis: Full domain vs tiling approaches. - Antonio Pérez; Mario Santa Cruz; Daniel San Martín; José Manuel Gutiérrez (CoRR, 2024)

Are Deep Learning Methods Suitable for Downscaling Global Climate Projections? Review and Intercomparison of Existing Models. - Jose González-Abad; José Manuel Gutiérrez (CoRR, 2024)