José Manuel Gutiérrez

32 papers A 1B 1C 1Misc 2Journal 20Unranked 6

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Are Deep Learning Methods Suitable for Downscaling Global Climate Projections? Review and Intercomparison of Existing Models. CoRR Jose González-Abad, José Manuel Gutiérrez
2024	J	`jnl`	Transformer based super-resolution downscaling for regional reanalysis: Full domain vs tiling approaches. CoRR Antonio Pérez, Mario Santa Cruz, Daniel San Martín, José Manuel Gutiérrez
2023	J	`jnl`	Transferability and explainability of deep learning emulators for regional climate model projections: Perspectives for future applications. CoRR Jorge Luis Baño-Medina, Maialen Iturbide, Jesús Fernández, José Manuel Gutiérrez
2021	J	`jnl`	Learning complex dependency structure of gene regulatory networks from high dimensional micro-array data with Gaussian Bayesian networks. CoRR Catharina Elisabeth Graafland, José Manuel Gutiérrez
2019	J	`jnl`	The METACLIP semantic provenance framework for climate products. Environ. Model. Softw. Joaquín Bedia, Daniel San Martín Segura, Maialen Iturbide, Sixto Herrera, Rodrigo Manzanas, José Manuel Gutiérrez
2019	J	`jnl`	Who learns better Bayesian network structures: Accuracy and speed of structure learning algorithms. Int. J. Approx. Reason. Marco Scutari, Catharina Elisabeth Graafland, José Manuel Gutiérrez
2018	J	`jnl`	An R package to visualize and communicate uncertainty in seasonal climate prediction. Environ. Model. Softw. María Dolores Frías, Maialen Iturbide, Rodrigo Manzanas, Joaquín Bedia, Jesús Fernández, Sixto Herrera, Antonio S. Cofiño, José Manuel Gutiérrez
2018	J	`jnl`	Tackling Uncertainties of Species Distribution Model Projections with Package mopa. R J. Maialen Iturbide, Joaquín Bedia, José Manuel Gutiérrez
2018	—	`conf`	Who Learns Better Bayesian Network Structures: Constraint-Based, Score-based or Hybrid Algorithms? PGM Marco Scutari, Catharina Elisabeth Graafland, José Manuel Gutiérrez
2015	J	`jnl`	Majorization comparison of closed list electoral systems through a matrix theorem. Ann. Oper. Res. José Manuel Gutiérrez
2012	B	`conf`	Simple reservoirs with chain topology based on a single time-delay nonlinear node. ESANN José Manuel Gutiérrez, Daniel San-Martín, Silvia Ortin, Luis Pesquera
2011	J	`jnl`	Benefits and requirements of grid computing for climate applications. An example with the community atmospheric model. Environ. Model. Softw. V. Fernández-Quiruelas, Jesús Fernández, Antonio S. Cofiño, Lluis Fita, José Manuel Gutiérrez
2009	J	`jnl`	A characterization of compactness through preferences. Math. Soc. Sci. José Manuel Gutiérrez
2009	J	`jnl`	Execution management in the GRID, for sensitivity studies of global climate simulations. Earth Sci. Informatics V. Fernández-Quiruelas, Jesús Fernández, C. Baeza, Antonio S. Cofiño, José Manuel Gutiérrez
2008	—	`conf`	Complex Workflow Management of the CAM Global Climate Model on the GRID. ICCS (3) V. Fernández-Quiruelas, Jesús Fernández, Antonio S. Cofiño, C. Baeza, F. García-Torre, R. M. San Martín, R. Abarca, José Manuel Gutiérrez
2007	Misc	`conf`	A Web Portal for Regional Projection of Weather Forecast Using GRID Middleware. International Conference on Computational Science (3) Antonio S. Cofiño, Daniel San-Martín, José Manuel Gutiérrez
2004	J	`jnl`	Evolving modular networks with genetic algorithms: application to nonlinear time series. Expert Syst. J. Knowl. Eng. Antonio S. Cofiño, José Manuel Gutiérrez, María L. Ivanissevich
2003	—	`conf`	GRID Oriented Implementation of Self-organizing Maps for Data Mining in Meteorology. European Across Grids Conference Francisco Luengo, Antonio S. Cofiño, José Manuel Gutiérrez
2002	A	`conf`	Bayesian Networks for Probabilistic Weather Prediction. ECAI Antonio S. Cofiño, R. Cano, C. Sordo, José Manuel Gutiérrez
2001	—	`conf`	Optimal Modular Feedforward Neural Nets Based on Functional Network Architectures. IWANN (1) Antonio S. Cofiño, José Manuel Gutiérrez
2001	J	`jnl`	Some Applications of Functional Networks in Statistics and Engineering. Technometrics Enrique F. Castillo, José Manuel Gutiérrez, Ali S. Hadi, Beatriz Lacruz
2000	—	`conf`	A Hybrid Evolutive-Genetic Strategy for the Inverse Fractal Problem of IFS Models. IBERAMIA-SBIA José Manuel Gutiérrez, Antonio S. Cofiño, María L. Ivanissevich
2000	J	`jnl`	A Minimax Method for Learning Functional Networks. Neural Process. Lett. Enrique F. Castillo, José Manuel Gutiérrez, Angel Cobo, Carmen Castillo
1999	J	`jnl`	Functional networks with applications: a neural-based paradigm [Book Review]. IEEE Trans. Neural Networks Enrique F. Castillo, Angel Cobo, José Manuel Gutiérrez, Rosa Eva Pruneda
1998	Misc	`conf`	Improving Search-Based Inference in Bayesian Networks. FLAIRS Enrique F. Castillo, José Manuel Gutiérrez, Ali S. Hadi
1997	—	`book`	Expert Systems and Probabilistic Network Models Enrique F. Castillo, José Manuel Gutiérrez, Ali S. Hadi
1997	J	`jnl`	Sensitivity analysis in discrete Bayesian networks. IEEE Trans. Syst. Man Cybern. Part A Enrique F. Castillo, José Manuel Gutiérrez, Ali S. Hadi
1997	J	`jnl`	Symbolic propagation and sensitivity analysis in Gaussian Bayesian networks with application to damage assessment. Artif. Intell. Eng. Enrique F. Castillo, José Manuel Gutiérrez, Ali S. Hadi, Cristina Solares
1996	J	`jnl`	A modified simulation scheme for inference in Bayesian networks. Int. J. Approx. Reason. Remco R. Bouckaert, Enrique F. Castillo, José Manuel Gutiérrez
1996	J	`jnl`	A new method for efficient symbolic propagation in discrete Bayesian networks. Networks Enrique F. Castillo, José Manuel Gutiérrez, Ali S. Hadi
1996	—	`conf`	Goal Oriented Symbolic Propagation in Bayesian Networks. AAAI/IAAI, Vol. 2 Enrique F. Castillo, José Manuel Gutiérrez, Ali S. Hadi
1995	C	`conf`	Parametric Structure of Probabilities in Bayesian Networks. ECSQARU Enrique F. Castillo, José Manuel Gutiérrez, Ali S. Hadi