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ORCIDPedro Isasi Viñuela
- > Home > Persons > Pedro Isasi Viñuela
Publications
- 2014
[j45]Sandra García-Rodríguez, David Quintana
, Inés María Galván, Pedro Isasi:
Extended mean-variance model for reliable evolutionary portfolio optimization. AI Commun. 27(3): 315-324 (2014)- 2013
- [j41]Sandra García-Rodríguez, David Quintana, Inés María Galván, Pedro Isasi:
Multiobjective Algorithms with Resampling for Portfolio Optimization. Comput. Informatics 32(4): 777-796 (2013) - 2012
- [j39]Sandra García-Rodríguez, David Quintana, Inés María Galván, Pedro Isasi:
Time-stamped resampling for robust evolutionary portfolio optimization. Expert Syst. Appl. 39(12): 10722-10730 (2012) - 2011
- [j37]Inés María Galván, José María Valls, Miguel García, Pedro Isasi:
A lazy learning approach for building classification models. Int. J. Intell. Syst. 26(8): 773-786 (2011) - [c57]Sandra García-Rodríguez, David Quintana, Inés María Galván, Pedro Isasi:
Portfolio Optimization Using SPEA2 with Resampling. IDEAL 2011: 127-134 - 2009
- [j36]Alejandro Cervantes, Inés María Galván, Pedro Isasi Viñuela:
Michigan Particle Swarm Optimization for Prototype Reduction in Classification Problems. New Gener. Comput. 27(3): 239-257 (2009) - [j33]Alejandro Cervantes, Inés María Galván, Pedro Isasi:
AMPSO: A New Particle Swarm Method for Nearest Neighborhood Classification. IEEE Trans. Syst. Man Cybern. Part B 39(5): 1082-1091 (2009) - [c52]Inés María Galván, José María Valls, Nicolas Lecomte, Pedro Isasi:
A Lazy Approach for Machine Learning Algorithms. AIAI 2009: 517-522 - 2008
- [j29]José María Valls, Inés María Galván, Pedro Isasi Viñuela:
Learning radial basis neural networks in a lazy way: A comparative study. Neurocomputing 71(13-15): 2529-2537 (2008) - 2007
- [j27]José María Valls, Inés María Galván, Pedro Isasi:
LRBNN: A Lazy Radial Basis Neural Network model. AI Commun. 20(2): 71-86 (2007) - [c42]Alejandro Cervantes, Inés María Galván, Pedro Isasi:
An Adaptive Michigan Approach PSO for Nearest Prototype Classification. IWINAC (2) 2007: 287-296 - [c41]Alejandro Cervantes, Inés María Galván, Pedro Isasi:
Building Nearest Prototype Classifiers Using a Michigan Approach PSO. SIS 2007: 135-140 - 2006
- [j23]José María Valls, Inés María Galván, Pedro Isasi Viñuela:
Improving the Generalization Ability of RBNN Using a Selective Strategy Based on the Gaussian Kernel Function. Comput. Artif. Intell. 25(1): 1-15 (2006) - [c37]José María Valls, Inés María Galván, Pedro Isasi:
Lazy Training of Radial Basis Neural Networks. ICANN (1) 2006: 198-207 - 2005
- [j22]Germán Gutiérrez, Araceli Sanchis, Pedro Isasi Viñuela, José M. Molina, Inés María Galván:
Non-Direct Encoding Method Based on Cellular Automata to Design Neural Network Architectures. Comput. Artif. Intell. 24(3): 225-247 (2005) - [c35]Alejandro Cervantes, Inés María Galván, Pedro Isasi:
A comparison between the Pittsburgh and Michigan approaches for the binary PSO algorithm. Congress on Evolutionary Computation 2005: 290-297 - 2004
- [j15]José María Valls, Inés María Galván, Pedro Isasi:
Lazy Learning in Radial Basis Neural Networks: A Way of Achieving More Accurate Models. Neural Process. Lett. 20(2): 105-124 (2004) - 2003
- [c27]José María Valls, Inés María Galván, Pedro Isasi:
How the Selection of Training Patterns can Improve the Generalization Capability in Radial Basis Neural Networks. Applied Informatics 2003: 275-280 - [c23]Pedro Isasi, José María Valls, Inés María Galván:
A Better Selection of Patterns in Lazy Learning Radial Basis Neural Networks. IWANN (1) 2003: 278-285 - 2001
- [j8]Inés María Galván, Pedro Isasi, Ricardo Aler, José María Valls:
A Selective Learning Method to Improve the Generalization of Multilayer Feedforward Neural Networks. Int. J. Neural Syst. 11(2): 167-177 (2001) - [j6]Inés María Galván, Pedro Isasi:
Multi-step Learning Rule for Recurrent Neural Models: An Application to Time Series Forecasting. Neural Process. Lett. 13(2): 115-133 (2001) - [c17]José María Valls, Pedro Isasi, Inés María Galván:
Deferring the Learning for Better Generalization in Radial Basis Neural Networks. ICANN 2001: 189-195 - [c15]Germán Gutiérrez, Pedro Isasi, José M. Molina, Araceli Sanchis, Inés María Galván:
Evolutionary Cellular Configurations for Designing Feed-Forward Neural Networks Architectures. IWANN (1) 2001: 514-521 - 2000
- [c12]José M. Molina, Inés María Galván, Pedro Isasi, Araceli Sanchis:
Grammars and cellular automata for evolving neural networks architectures. SMC 2000: 2497-2502
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