José Manuel Gutiérrez

Orcid: 0000-0002-2766-6297

According to our database1, José Manuel Gutiérrez authored at least 30 papers between 1995 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

Bibliography

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

The METACLIP semantic provenance framework for climate products.
Environ. Model. Softw., 2019

2018
Tackling Uncertainties of Species Distribution Model Projections with Package mopa.
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
Majorization comparison of closed list electoral systems through a matrix theorem.
Ann. Oper. Res., 2015

2012
Simple reservoirs with chain topology based on a single time-delay nonlinear node.
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
A characterization of compactness through preferences.
Math. Soc. Sci., 2009

Execution management in the GRID, for sensitivity studies of global climate simulations.
Earth Sci. Informatics, 2009

2008
Complex Workflow Management of the CAM Global Climate Model on the GRID.
Proceedings of the Computational Science, 2008

2007
A Web Portal for Regional Projection of Weather Forecast Using GRID Middleware.
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
GRID Oriented Implementation of Self-organizing Maps for Data Mining in Meteorology.
Proceedings of the Grid Computing, 2003

2002
Bayesian Networks for Probabilistic Weather Prediction.
Proceedings of the 15th European Conference on Artificial Intelligence, 2002

2001
Some Applications of Functional Networks in Statistics and Engineering.
Technometrics, 2001

Optimal Modular Feedforward Neural Nets Based on Functional Network Architectures.
Proceedings of the Connectionist Models of Neurons, 2001

2000
A Minimax Method for Learning Functional Networks.
Neural Process. Lett., 2000

A Hybrid Evolutive-Genetic Strategy for the Inverse Fractal Problem of IFS Models.
Proceedings of the Advances in Artificial Intelligence, 2000

1999
Functional networks with applications: a neural-based paradigm [Book Review].
IEEE Trans. Neural Networks, 1999

1998
Improving Search-Based Inference in Bayesian Networks.
Proceedings of the Eleventh International Florida Artificial Intelligence Research Society Conference, 1998

1997
Expert Systems and Probabilistic Network Models
Monographs in Computer Science, Springer, ISBN: 978-1-4612-2270-5, 1997

Sensitivity analysis in discrete Bayesian networks.
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
A new method for efficient symbolic propagation in discrete Bayesian networks.
Networks, 1996

A modified simulation scheme for inference in Bayesian networks.
Int. J. Approx. Reason., 1996

Goal Oriented Symbolic Propagation in Bayesian Networks.
Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, 1996

1995
Parametric Structure of Probabilities in Bayesian Networks.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning and Uncertainty, 1995


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