José Manuel Gutiérrez
Orcid: 0000-0002-2766-6297
According to our database1,
José Manuel Gutiérrez
authored at least 31 papers
between 1995 and 2024.
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Bibliography
2024
Transformer based super-resolution downscaling for regional reanalysis: Full domain vs tiling approaches.
CoRR, 2024
2023
Transferability and explainability of deep learning emulators for regional climate model projections: Perspectives for future applications.
CoRR, 2023
2021
Learning complex dependency structure of gene regulatory networks from high dimensional micro-array data with Gaussian Bayesian networks.
CoRR, 2021
2019
Who learns better Bayesian network structures: Accuracy and speed of structure learning algorithms.
Int. J. Approx. Reason., 2019
Environ. Model. Softw., 2019
2018
R J., 2018
An R package to visualize and communicate uncertainty in seasonal climate prediction.
Environ. Model. Softw., 2018
Who Learns Better Bayesian Network Structures: Constraint-Based, Score-based or Hybrid Algorithms?
Proceedings of the International Conference on Probabilistic Graphical Models, 2018
2015
Ann. Oper. Res., 2015
2012
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012
2011
Benefits and requirements of grid computing for climate applications. An example with the community atmospheric model.
Environ. Model. Softw., 2011
2009
Execution management in the GRID, for sensitivity studies of global climate simulations.
Earth Sci. Informatics, 2009
2008
Proceedings of the Computational Science, 2008
2007
Proceedings of the Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27, 2007
2004
Evolving modular networks with genetic algorithms: application to nonlinear time series.
Expert Syst. J. Knowl. Eng., 2004
2003
Proceedings of the Grid Computing, 2003
2002
Bayesian Networks for Probabilistic Weather Prediction.
Proceedings of the 15th European Conference on Artificial Intelligence, 2002
2001
Technometrics, 2001
Proceedings of the Connectionist Models of Neurons, 2001
2000
Proceedings of the Advances in Artificial Intelligence, 2000
1999
IEEE Trans. Neural Networks, 1999
1998
Proceedings of the Eleventh International Florida Artificial Intelligence Research Society Conference, 1998
1997
Monographs in Computer Science, Springer, ISBN: 978-1-4612-2270-5, 1997
IEEE Trans. Syst. Man Cybern. Part A, 1997
Symbolic propagation and sensitivity analysis in Gaussian Bayesian networks with application to damage assessment.
Artif. Intell. Eng., 1997
1996
Networks, 1996
Int. J. Approx. Reason., 1996
Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, 1996
1995
Proceedings of the Symbolic and Quantitative Approaches to Reasoning and Uncertainty, 1995