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MC-SC2 Publications about: pattern classification
Articles in journal or book chapters
  1. H. Ishibuchi and T. Yamamoto. Fuzzy rule selection by multi-objective genetic local search algorithms and rule evaluation measures in data mining. Fuzzy Sets and Systems, 141(1):59-88, 2004. Keyword(s): data mining, pattern classification, fuzzy rule selection, evolutionary multi-criterion optimization, hybrid genetic algorithms. [bibtex-entry]


  2. Q. Shen and A. Chouchoulas. A rough-fuzzy approach for generating classification rules. Pattern Recognition, 35:2425-2438, 2002. Keyword(s): pattern classification, rough sets, fuzzy sets, feature selection, rule induction. [bibtex-entry]


  3. H. Ishibuchi, T. Nakashima, and T. Murata. Three-objective genetics-based machine learning for linguistic rule extraction. Information Sciences: An International Journal, 136:109-133, 2001. Keyword(s): pattern classification, fuzzy systems, genetic algorithm, rule extraction. [bibtex-entry]


  4. J. Kishore, L. Patnaik, V. Mani, and V. Agrawal. Genetic programming based pattern classification with feature space partitioning. Information Sciences: An International Journal, 131:65-86, 2001. [bibtex-entry]


  5. L. Chiang, E. Russell, and R. Braatz. Fault diagnosis in chemical processes using Fisher discriminant analysis, discriminant partial least squares, and principal component analysis. Chemometrics and Intelligent Laboratory Systems, 50:243-252, 2000. Keyword(s): Fisher's discriminant analysis, discriminant partial least squares, principal component analysis, dimensionality reduction, multivariate statistics, large scale systems, fault detection, chemometric methods, discriminant analysis, pattern classification. [bibtex-entry]


  6. M. Kbir, H. Benkirane, and R. Benslimane. Hierarchical fuzzy partition for pattern classification with fuzzy if-then rules. Pattern Recognition Letters, 21:503-509, 2000. Keyword(s): fuzzy classification problems, fuzzy if-then rules, hierarchical fuzzy partition. [bibtex-entry]


  7. S. Martin, M. Kirby, and R. Miranda. Symmetric Veronese classifiers with application to materials design. Engineering Applications of Artificial Intelligence, 13:513-520, 2000. Keyword(s): feature selection, Veronese maps, materials design, pattern classification, support vector machines, kernel selection. [bibtex-entry]


  8. V. Ravi, P. Reddy, and H.-J. Zimmermann. Pattern classification with principal component analysis and fuzzy rule bases. European Journal of Operational Research, 126:526-533, 2000. Keyword(s): fuzzy sets, data analysis, feature selection, principal component analysis, modified threshold accepting. [bibtex-entry]


  9. K. Ray and J. Ghoshal. Neuro-genetic approach to multidimensional fuzzy reasoning for pattern classsification. Fuzzy Sets and Systems, 112:449-483, 2000. Keyword(s): multidimensional fuzzy implication, multidimensional fuzzy reasoning, pattern classification, multilayer perceptron, genetic algorithm, regularization. [bibtex-entry]


  10. H. Ishibuchi, T. Nakashima, and T. Morisawa. Voting in fuzzy rule-based systems for pattern classification problems. Fuzzy Sets and Systems, 103:223-238, 1999. Keyword(s): pattern classification, fuzzy rule-based systems, fuzzy reasoning, voting schemes. [bibtex-entry]


  11. H. Ishibuchi, T. Murata, and M. Gen. Performance evaluation of fuzzy rule-based classification systems obtained by multi- objective genetic algorithms. Computers & Industrial Engineering, 35(3-4):575-578, 1998. Keyword(s): fuzzy rule-based system, pattern classification, rule selection, genetic algorithm, knowledge acquisition. [bibtex-entry]


  12. H. Ishibuchi, T. Murata, and I. Türksen. Single-objective and two-objective genetic algorithms for selecting linguistic rules for pattern classification problems. Fuzzy Sets and Systems, 89(2):135-150, 1997. Keyword(s): linguistic modeling, pattern recognition, data analysis, genetic algorithm, rule selection. [bibtex-entry]


  13. D. Alpsan, M. Towsey, O. Ozdamar, C. Tsoi, and D. Ghista. Efficacy of modified backpropagation and optimization methods on a real-world medical problem. Neural Networks, 8(6):945-962, 1995. Keyword(s): neural networks, multilayer perceptron, backpropagation, optimisation, auditory evoked potencial, pattern classification. [bibtex-entry]



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Last modified: Fri Dec 15 07:05:48 2006
Author: Juscelino Dias.


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