Nicolás García-Pedrajas

2009
29	EE	Aida de Haro-García, Nicolás García-Pedrajas: A divide-and-conquer recursive approach for scaling up instance selection algorithms. Data Min. Knowl. Discov. 18(3): 392-418 (2009)
2008
28	EE	Cesar García-Osorio, Nicolás García-Pedrajas: Constructing ensembles of classifiers using linear projections based on misclassified instances. ESANN 2008: 283-288
27	EE	Cesar García-Osorio, Iñigo Mediavilla-Sáiz, Javier Jimeno-Visitación, Nicolás García-Pedrajas: Teaching push-down automata and turing machines. ITiCSE 2008: 316
26	EE	Cesar García-Osorio, Carlos Gómez-Palacios, Nicolás García-Pedrajas: A tool for teaching LL and LR parsing algorithms. ITiCSE 2008: 317
25	EE	Nicolás García-Pedrajas, Colin Fyfe: Evolving Output Codes for Multiclass Problems. IEEE Trans. Evolutionary Computation 12(1): 93-106 (2008)
24	EE	Nicolás García-Pedrajas, Colin Fyfe: Construction of classifier ensembles by means of artificial immune systems. J. Heuristics 14(3): 285-310 (2008)
23	EE	Nicolás García-Pedrajas, Domingo Ortiz-Boyer: Boosting random subspace method. Neural Networks 21(9): 1344-1362 (2008)
22	EE	Domingo Ortiz-Boyer, César Hervás-Martínez, Nicolás García-Pedrajas: Robust confidence intervals applied to crossover operator for real-coded genetic algorithms. Soft Comput. 12(8): 809-833 (2008)
2007
21	EE	Domingo Ortiz-Boyer, César Hervás-Martínez, Nicolás García-Pedrajas: Improving crossover operator for real-coded genetic algorithms using virtual parents. J. Heuristics 13(3): 265-314 (2007)
20	EE	Nicolás García-Pedrajas, Cesar García-Osorio, Colin Fyfe: Nonlinear Boosting Projections for Ensemble Construction. Journal of Machine Learning Research 8: 1-33 (2007)
19	EE	Nicolás García-Pedrajas, Colin Fyfe: Immune network based ensembles. Neurocomputing 70(7-9): 1155-1166 (2007)
18	EE	Nicolás García-Pedrajas, Domingo Ortiz-Boyer: A cooperative constructive method for neural networks for pattern recognition. Pattern Recognition 40(1): 80-98 (2007)
2006
17	EE	Nicolás García-Pedrajas, Colin Fyfe: Immune Network based Ensembles. ESANN 2006: 437-442
16	EE	Rafael del Castillo Gomariz, Nicolás García-Pedrajas: Classification by means of Evolutionary Response Surfaces. ESANN 2006: 443-448
15	EE	Nicolás García-Pedrajas: Cooperative Coevolution of Neural Networks and Ensembles of Neural Networks. Multi-Objective Machine Learning 2006: 465-490
14	EE	Nicolás García-Pedrajas, Domingo Ortiz-Boyer: Improving Multiclass Pattern Recognition by the Combination of Two Strategies. IEEE Trans. Pattern Anal. Mach. Intell. 28(6): 1001-1006 (2006)
13	EE	Alfonso C. Martínez-Estudillo, Francisco J. Martínez-Estudillo, César Hervás-Martínez, Nicolás García-Pedrajas: Evolutionary product unit based neural networks for regression. Neural Networks 19(4): 477-486 (2006)
12	EE	Nicolás García-Pedrajas, Domingo Ortiz-Boyer, César Hervás-Martínez: An alternative approach for neural network evolution with a genetic algorithm: Crossover by combinatorial optimization. Neural Networks 19(4): 514-528 (2006)
2005
11	EE	Domingo Ortiz-Boyer, Rafael del Castillo Gomariz, Nicolás García-Pedrajas, César Hervás-Martínez: Crossover effect over penalty methods in function optimization with constraints. Congress on Evolutionary Computation 2005: 1127-1134
10	EE	Nicolás García-Pedrajas, Domingo Ortiz-Boyer, Rafael del Castillo Gomariz, César Hervás-Martínez: Cascade Ensembles. IWANN 2005: 598-603
9	EE	Nicolás García-Pedrajas, César Hervás-Martínez, Domingo Ortiz-Boyer: Cooperative coevolution of artificial neural network ensembles for pattern classification. IEEE Trans. Evolutionary Computation 9(3): 271-302 (2005)
8	EE	Domingo Ortiz-Boyer, César Hervás-Martínez, Nicolás García-Pedrajas: CIXL2: A Crossover Operator for Evolutionary Algorithms Based on Population Features. J. Artif. Intell. Res. (JAIR) 24: 1-48 (2005)
2004
7	EE	Nicolás García-Pedrajas, Domingo Ortiz-Boyer, César Hervás-Martínez: Cooperative coevolution of generalized multi-layer perceptrons. Neurocomputing 56: 257-283 (2004)
2003
6	EE	Eloy Sanz-Tapia, Nicolás García-Pedrajas, Domingo Ortiz-Boyer, César Hervás-Martínez: Node Level Crossover Applied to Neural Network Evolution. IWANN (1) 2003: 518-525
2002
5	EE	César Hervás-Martínez, Domingo Ortiz-Boyer, Nicolás García-Pedrajas: Theoretical Analysis of the Confidence Interval Based Crossover for Real-Coded Genetic Algorithms. PPSN 2002: 153-161
4	EE	Domingo Ortiz-Boyer, César Hervás-Martínez, Nicolás García-Pedrajas: Crossover Operator Effect in Function Optimization with Constraints. PPSN 2002: 184-193
3	EE	Nicolás García-Pedrajas, César Hervás-Martínez, José Muñoz-Pérez: Multi-objective cooperative coevolution of artificial neural networks (multi-objective cooperative networks). Neural Networks 15(10): 1259-1278 (2002)
2001
2	EE	Nicolás García-Pedrajas, Eloy Sanz-Tapia, Domingo Ortiz-Boyer, César Hervás-Martínez: Introducing Multi-objective Optimization in Cooperative Coevolution of Neural Networks. IWANN (1) 2001: 645-652
1992
1		César Hervás-Martínez, E. J. Romero Soto, Nicolás García-Pedrajas, Rafael Medina Carnicer: Comparison Between Artificial Neural Networks and Classical Statsitical Methods in Pattern Recognition. IPMU 1992: 351-360

Coauthor Index

1	Rafael Medina Carnicer	[1]
2	Colin Fyfe	[17] [19] [20] [24] [25]
3	Cesar García-Osorio	[20] [26] [27] [28]
4	Rafael del Castillo Gomariz	[10] [11] [16]
5	Carlos Gómez-Palacios	[26]
6	Aida de Haro-García	[29]
7	César Hervás-Martínez (César Hervás)	[1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [21] [22]
8	Javier Jimeno-Visitación	[27]
9	Alfonso C. Martínez-Estudillo	[13]
10	Francisco J. Martínez-Estudillo	[13]
11	Iñigo Mediavilla-Sáiz	[27]
12	José Muñoz-Pérez	[3]
13	Domingo Ortiz-Boyer	[2] [4] [5] [6] [7] [8] [9] [10] [11] [12] [14] [18] [21] [22] [23]
14	Eloy Sanz-Tapia	[2] [6]
15	E. J. Romero Soto	[1]

Colors in the list of coauthors