Journal Contributions: Published

Jump to Year:
        2007  2006  2005  2003  2002  2001  1999  1998  1997  1995
      

2007
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2006
	J.R. Cano, F. Herrera, M. Lozano. On the combination of evolutionary algorithms and stratified strategies for training set selection in data mining. Applied Soft Computing Journal 6:3 (2006) 323-332			bib
	K.J. Kim. Artificial neural networks with evolutionary instance selection for financial forecasting. Expert Systems with Applications 30:3 (2006) 519-526			bib
2005
	J.R. Cano, F. Herrera, M. Lozano. Stratification for scaling up evolutionary prototype selection. Pattern Recognition Letters 26 (2005) 953-963			bib
	J.H. Chen, H.M. Chen, S.Y. Ho. Design of nearest neighbor classifiers: multi-objective approach. International Journal of Approximate Reasoning 40:1 (2005) 3-22			bib
2003
	J.R. Cano, F. Herrera, M. Lozano. Using evolutionary algorithms as instance selection for data reduction in KDD: An experimental study. IEEE Transaction on Evolutionary Computation 7:6 (2003) 561-575			bib
	K. Deb, A. Raji. Reliable classification of two-class cancer data using evolutionary algorithms. BioSystems 72 (2003) 111-129			bib
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2002
	H. Shinn, L. Chia, L. Soundy. Design of an optimal nearest neighbour classifier using an intelligent genetic algorithm. Pattern Recognition Letters 23:13 (2002) 1495-1503			bib
2001
	J.C. Bezdek, L.I. Kuncheva. Nearest prototype classifier designs: An experimental study. International Journal of Intelligent Systems 16:12 (2001) 1445-1473			bib
	T. Ravindra, M. Narasimha. Comparison of genetic algorithm based prototype selection schemes. Pattern Recognition 34:1 (2001) 523-525			bib
1999
	L.I. Kuncheva, L.C. Jain. Nearest Neighbor classifier: Simultaneous editing and feature selection. Pattern Recognition Letters 20 (1999) 1149-1156		bib
	L.I. Kuncheva, J.C. Bezdek. Presupervised and Postsupervised Prototype Classifier Design. IEEE Transactions on Neural Networks 10:5 (1999) 1142-1152			bib
1998
	L.I. Kuncheva, J.C. Bezdek. Nearest Prototype Classification: Clustering, Genetic Algorithms, or Random Search?. IEEE Transactions on Systems, Man, and Cybernetics Part C: Applications and Reviews 28:1 (1998) 160-164			bib
1997
	L.I. Kuncheva. Fitness functions in editing k-NN reference set by Genetic Algorithms. Pattern Recognition 30:6 (1997) 1041-1049			bib
1995
	L.I. Kuncheva. Editing for the k-nearest neighbors rule by a genetic algorithm. Pattern Recognition Letters 16 (1995) 809-814			bib

 Contributions to Books Chapters

Jump to Year:   2005  2001

 Conference Contributions

Jump to Year:   2007  2005  2004  2001  2000

2007
	P. Lichodzijewski, M.I. Heywood. Pareto-coevolutionary genetic programming for problem decomposition in multi-class classification. Genetic and Evolutionary Computation Conference (GECCO07). London (England, 2007) 464-471			bib
2005
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2004
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	J.H. Chen, H.M. Chen, S.Y. Ho. Design of nearest neighbor classifiers using an intelligent multi-objective evolutionary algorithm. Pacific Rim International Conference on Artificial Intelligence (PRICAI04). Lecture Notes in Computer Science 3157, Springer-Verlag 2004, Guilin (China, 2004) 262-271			bib
2001
	H. Ishibuchi, T. Nakashima, M. Nii. Learning of neural networks with GA-based instance selection. Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS01). (2001) 2102-2107			bib
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2000
	J.C. Bezdek, L.I. Kuncheva. Some notes on twenty one nearest prototype classifiers. Joint IAPR International Workshops on Syntactical and Structural Pattern Recognition and Statistical Pattern Recognition (SSPR&SPR00). Lecture Notes in Computer Science 1876, Springer-Verlag 2000, Alicante (Spain, 2000) 1-16			bib

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