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ORCIDJosé Manuel Gutiérrez
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2020 – today
- 2023
[i2]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 abs/2311.03378 (2023)- 2021
- [i1]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 abs/2106.15365 (2021)
2010 – 2019
- 2019
- [j16]Joaquín Bedia
, Daniel San Martín Segura, Maialen Iturbide, Sixto Herrera, Rodrigo Manzanas, José Manuel Gutiérrez:
The METACLIP semantic provenance framework for climate products. Environ. Model. Softw. 119: 445-457 (2019) - [j15]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: 235-253 (2019) - 2018
- [j14]María Dolores Frías, Maialen Iturbide, Rodrigo Manzanas, Joaquín Bedia, Jesús Fernández, Sixto Herrera, Antonio S. Cofiño, José Manuel Gutiérrez:
An R package to visualize and communicate uncertainty in seasonal climate prediction. Environ. Model. Softw. 99: 101-110 (2018) - [j13]Maialen Iturbide, Joaquín Bedia, José Manuel Gutiérrez:
Tackling Uncertainties of Species Distribution Model Projections with Package mopa. R J. 10(1): 122 (2018) - [c11]Marco Scutari, Catharina Elisabeth Graafland, José Manuel Gutiérrez:
Who Learns Better Bayesian Network Structures: Constraint-Based, Score-based or Hybrid Algorithms? PGM 2018: 416-427 - 2015
- [j12]José Manuel Gutiérrez:
Majorization comparison of closed list electoral systems through a matrix theorem. Ann. Oper. Res. 235(1): 807-814 (2015) - 2012
- [c10]José Manuel Gutiérrez, Daniel San-Martín, Silvia Ortin, Luis Pesquera:
Simple reservoirs with chain topology based on a single time-delay nonlinear node. ESANN 2012 - 2011
- [j11]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): 1057-1069 (2011)
2000 – 2009
- 2009
- [j10]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): 75-82 (2009) - [j9]José Manuel Gutiérrez:
A characterization of compactness through preferences. Math. Soc. Sci. 57(1): 131-133 (2009) - 2008
- [c9]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: 471-480 - 2007
- [c8]Antonio S. Cofiño, Daniel San-Martín, José Manuel Gutiérrez:
A Web Portal for Regional Projection of Weather Forecast Using GRID Middleware. International Conference on Computational Science (3) 2007: 82-89 - 2004
- [j8]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): 208-216 (2004) - 2003
- [c7]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: 163-170 - 2002
- [c6]Antonio S. Cofiño, R. Cano, C. Sordo, José Manuel Gutiérrez:
Bayesian Networks for Probabilistic Weather Prediction. ECAI 2002: 695-699 - 2001
- [j7]Enrique F. Castillo, José Manuel Gutiérrez, Ali S. Hadi, Beatriz Lacruz:
Some Applications of Functional Networks in Statistics and Engineering. Technometrics 43(1): 10-24 (2001) - [c5]Antonio S. Cofiño, José Manuel Gutiérrez:
Optimal Modular Feedforward Neural Nets Based on Functional Network Architectures. IWANN (1) 2001: 308-315 - 2000
- [j6]Enrique F. Castillo, José Manuel Gutiérrez, Angel Cobo, Carmen Castillo:
A Minimax Method for Learning Functional Networks. Neural Process. Lett. 11(1): 39-49 (2000) - [c4]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: 467-476
1990 – 1999
- 1999
- [j5]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): 982-982 (1999) - 1998
- [c3]Enrique F. Castillo, José Manuel Gutiérrez, Ali S. Hadi:
Improving Search-Based Inference in Bayesian Networks. FLAIRS 1998: 405-409 - 1997
- [b1]Enrique F. Castillo, José Manuel Gutiérrez, Ali S. Hadi:
Expert Systems and Probabilistic Network Models. Monographs in Computer Science, Springer 1997, ISBN 978-0-387-94858-4, pp. 1-571 - [j4]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): 173-181 (1997) - [j3]Enrique F. Castillo, José Manuel Gutiérrez, Ali S. Hadi:
Sensitivity analysis in discrete Bayesian networks. IEEE Trans. Syst. Man Cybern. Part A 27(4): 412-423 (1997) - 1996
- [j2]Remco R. Bouckaert, Enrique F. Castillo, José Manuel Gutiérrez:
A modified simulation scheme for inference in Bayesian networks. Int. J. Approx. Reason. 14(1): 55-80 (1996) - [j1]Enrique F. Castillo, José Manuel Gutiérrez, Ali S. Hadi:
A new method for efficient symbolic propagation in discrete Bayesian networks. Networks 28(1): 31-43 (1996) - [c2]Enrique F. Castillo, José Manuel Gutiérrez, Ali S. Hadi:
Goal Oriented Symbolic Propagation in Bayesian Networks. AAAI/IAAI, Vol. 2 1996: 1263-1268 - 1995
- [c1]Enrique F. Castillo, José Manuel Gutiérrez, Ali S. Hadi:
Parametric Structure of Probabilities in Bayesian Networks. ECSQARU 1995: 89-98
Coauthor Index
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