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publications

(11)   

• Anti-correlation: A Diversity Promoting Mechanisms in Ensemble Learning
  R. I. (Bob) McKay and H. A. Abbass The Australian Journal of Intelligent Information Processing Systems7(3/4):139--149(2001)
  to diversity fitness learning, sharing, Neural Ensemble Anticorrelation, committee programming, genetic Artificial algorithms, Networks, by brazovayeye on Jun 19, 2008, 5:35 PM
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• Comparison of AdaBoost and Genetic Programming for combining Neural Networks for Drug Discovery
  W. B. Langdon and S. J. Barrett and B. F. Buxton Applications of Evolutionary Computing, EvoWorkshops2003: EvoBIO, EvoCOP, EvoIASP, EvoMUSART, EvoROB, EvoSTIM, volume2611ofLNCS, page87--98. University of Essex, UK, Springer-Verlag, 14-16 April2003.
  to Operating put data neural Characteristics through (ROC), design, networks, ensemble classifiers, of screening programming, fusion, adaboost, genetic (HTS) Receiver clementine, high algorithms, artificial drug by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• Combining Decision Trees and Neural Networks for Drug Discovery
  William B. Langdon and S. J. Barrett and B. F. Buxton Genetic Programming, Proceedings of the 5th European Conference, EuroGP 2002, volume2278ofLNCS, page60--70. Kinsale, Ireland, Springer-Verlag, 3-5 April2002.
  to put data Characteristics neural design, (ROC), through decision classifiers, of programming, (HTS) clementine, algorithms, drug Operating networks, ensemble C4.5, screening fusion, Receiver genetic trees high artificial by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• Genetic Programming for Combining Neural Networks for Drug Discovery
  W. B. Langdon and S. J. Barrett and B. F. Buxton Soft Computing and Industry Recent Applications, page597--608. Springer-Verlag, 10--24 September2001. Published 2002 .
  to Operating knowledge data mining, Characteristics, fair size classifiers, ensemble of programming, crossover fusion, Receiver genetic discovery, algorithms, by brazovayeye on Jun 19, 2008, 5:35 PM
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• Genetic Programming for Improved Receiver Operating Characteristics
  W. B. Langdon and B. F. Buxton Second International Conference on Multiple Classifier System, volume2096ofLNCS, page68--77. Cambridge, Springer Verlag, 2-4 July2001.
  to Operating knowledge off, non-uniform trade data mining, Characteristics, cost fair size cost-sensitive, classifiers, ensemble of programming, fusion, genetic Receiver crossover, discovery, algorithms, penalty by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• Genetic Programming for Combining Classifiers
  W. B. Langdon and B. F. Buxton Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), page66--73. San Francisco, California, USA, Morgan Kaufmann, 7-11 July2001.
  to Operating knowledge data mining, Characteristics, fair size classifiers, ensemble of programming, crossover fusion, Receiver genetic discovery, algorithms, by brazovayeye on Jun 19, 2008, 5:35 PM
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• StreamGP: tracking evolving GP ensembles in distributed data streams using fractal dimension
  Gianluigi Folino and Clara Pizzuti and Giandomenico Spezzano GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation, 2, page1751--1751. London, ACM Press, 7-11 July2007.
  to streaming ensemble data, Poster, genetic programming: distributed data mining, algorithms, by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• Improving cooperative GP ensemble with clustering and pruning for pattern classification
  Gianluigi Folino and Clara Pizzuti and Giandomenico Spezzano GECCO 2006: Proceedings of the 8th annual conference on Genetic and evolutionary computation, 1, page791--798. Seattle, Washington, USA, ACM Press, 8-12 July2006.
  to ensemble programming, genetic data mining, algorithms, classification, by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• Parallel Genetic Programming
  Francisco Fernandez and Giandomenico Spezzano and Marco Tomassini and Leonardo Vanneschi Parallel Metaheuristics, chapter 6, Wiley-Interscience, Hoboken, New Jersey, USA, (2005)
  to placement cellular CGPC, bagCGPC FPGA, island classifiers, ensemble structure, of programming, genetic grid algorithms, EHW, model, by brazovayeye on Jun 19, 2008, 5:35 PM
  BibTeX 
• Flexible neural trees ensemble for stock index modeling
  Yuehui Chen and Bo Yang and Ajith Abraham Neurocomputing70(4-6):697--703January2007. Advanced Neurocomputing Theory and Methodology - Selected papers from the International Conference on Intelligent Computing 2005 (ICIC 2005), International...Advanced Neurocomputing Theory and Methodology - Selected papers from the International Conference on Intelligent Computing 2005 (ICIC 2005), International Conference on Intelligent Computing 2005 .
  to GP-like index algorithm, optimisation, neural Particle structure-based Flexible Stock tree, learning, Ensemble tree programming, genetic evolutionary algorithms, swarm by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
  BibTeX 
• Ensemble selection for evolutionary learning using information theory and price's theorem
  Stuart W. Card and Chilukuri K. Mohan GECCO 2006: Proceedings of the 8th annual conference on Genetic and evolutionary computation, 2, page1587--1588. Seattle, Washington, USA, ACM Press, 8-12 July2006.
  to Genetics-Based Poster, equation, Learning other Machine Price's measurement, Classifier theory and ensemble Learning: programming, genetic evolutionary selection, Systems algorithms, group models, mate computation, by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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