引用次数
引用: 3,896
H-指数: 31
I10-指数 : 82
出版物: 238
Rendimiento en salidas a Bolsa:Un estudio mediante perceptronesmulticapa
David Quintana , Pedro Isasi
Actualidad contable FACES 11 ( 16) 78 -88
1
2008
Applying classifier systems to learn the reactions in mobile robots
María Araceli Sanchis de Miguel , Pedro Isasi , José Manuel Molina López , Javier Segovia
International Journal of Systems Science 32 ( 2) 237 -258
3
2001
Estructura de Colocación y Rendimiento Inicial de Salidas a Bolsa: Tecnológicas Frente a No Tecnológicas*
David Quintana , Pedro Isasi
Actualidad Contable Faces 8 ( 11) 80 -86
1
2005
Detección de inercia sectorial en salidas a bolsa mediante modelos arima y redes neuronales
Ricardo Gimeno , David Quintana , Pedro Isasi
Economía y administración 42 ( 65) 29 -53
3
2005
Dynamic Generation of Investment Recommendations Using Grammatical Evolution
David Quintana , Pedro Isasi , Carlos Martín
International Journal of Interactive Multimedia and Artificial Intelligence 6 104 -111
2021
A Lazy Approach for Machine Learning Algorithms
Inés M. Galván , Josà M. Valls , Nicolas Lecomte , Pedro Isasi
artificial intelligence applications and innovations 517 -522
3
2009
Evolutionary rule-based system for IPO underpricing prediction
David Quintana , Cristóbal Luque , Pedro Isasi
genetic and evolutionary computation conference 983 -989
14
2005
Internet Use and Psychological Well-Being at Advanced Age: Evidence from the English Longitudinal Study of Aging.
David Quintana , Alejandro Cervantes , Yago Sáez , Pedro Isasi
International Journal of Environmental Research and Public Health 15 ( 3) 480
20
2018
Extending ACO for fast path search in huge graphs and social networks
Javier Calle , Jesica Rivero , Dolores Cuadra , Pedro Isasi
Expert Systems With Applications 86 292 -306
8
2017
Evolving Heuristics for Planning
Ricardo Aler , Daniel Borrajo , Pedro Isasi
Evolutionary Programming 745 -754
10
1998
A lazy learning approach for building classification models
Inés M. Galván , Joś M. Valls , Miguel García , Pedro Isasi
International Journal of Intelligent Systems 26 ( 8) 773 -786
9
2011
An Adaptive Michigan Approach PSO for Nearest Prototype Classification
Alejandro Cervantes , Inés Galván , Pedro Isasi
Nature Inspired Problem-Solving Methods in Knowledge Engineering 287 -296
11
2007
Hybridizing Evolutionary Computation and Deep Neural Networks: An Approach to Handwriting Recognition Using Committees and Transfer Learning
Alejandro Baldominos , Yago Saez , Pedro Isasi
Complexity 2019 1 -16
37
2019
Evolutionary convolutional neural networks: An application to handwriting recognition
Alejandro Baldominos , Yago Saez , Pedro Isasi
Neurocomputing 283 38 -52
156
2017
Evolution of trading strategies with flexible structures: A configuration comparison
Carlos Martín , David Quintana , Pedro Isasi
Neurocomputing 331 242 -262
2019
Learning to Solve Planning Problems Efficiently by Means of Genetic Programming
Ricardo Aler , Daniel Borrajo , Pedro Isasi
Evolutionary Computation 9 ( 4) 387 -420
29
2001
Ant Colony to Fast Search of Paths in Huge Networks
Jessica Rivero , Dolores Cuadra , F. Javier Calle , Pedro Isasi
distributed computing and artificial intelligence 199 -208
2011
Improved Accuracy Rates of a Prototype Based Classifier Using Evolutionary Computation
Gustavo Recio , Yago Saez , Pedro Isasi
intelligent systems design and applications 491 -496
1
2009