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publications

(5)   

• Searching for discrimination rules in protease proteolytic cleavage activity using genetic programming with a min-max scoring function
  Zheng Rong Yang and Rebecca Thomson and T. Charles Hodgman and Jonathan Dry and Austin K. Doyle and Ajit Narayanan and XiKun Wu Biosystems72(1-2):159--176November2003.
  to algorithms, reverse The acid cleavage programming, Polish similarity Proteolytic notation, genetic matrix, Amino analysis by brazovayeye on Jun 19, 2008, 5:35 PM
  URL | BibTeX 
• Computational intelligence techniques: a study of scleroderma skin disease
  Julio J. Valdes and Alan J. Barton Late breaking paper at Genetic and Evolutionary Computation Conference (GECCO'2007), page2580--2587. London, United Kingdom, ACM Press, 7-11 July2007.
  to structure visual optimisation, algorithms, similarity data Swarm grid sets, rough evolution, Particle computing, preservation, genomics, reality, differential hybrid programming, virtual Optimisation, evolutionary-classical mining genetic disease, scleroderma by brazovayeye on Jun 19, 2008, 5:35 PM
  URL | BibTeX 
• Evolving similarity coefficients for the solution of cellular manufacturing problems
  Christos Dimopoulos and Neil Mort Proceedings of the Congress on Evolutionary Computation (CEC 2000), page617--624. La Jolla Marriott Hotel La Jolla, California, USA, IEEE Press, 6-9 July2000.
  to algorithms, genetic similarity programming, engineering coefficients, formation, cell applications by brazovayeye on Jun 19, 2008, 5:35 PM
  BibTeX 
• A hybrid image restoration approach: Using fuzzy punctual kriging and genetic programming
  Asmatullah Chaudhry and Asifullah Khan and Asad Ali and Anwar M. Mirza International Journal of Imaging Systems and Technology17(4):224--231(2007)
  to structure filtering image punctual measure, similarity index logic, adaptive spatial restoration, programming, algorithms, genetic SSIM, fuzzy kriging, by brazovayeye on Jun 19, 2008, 5:35 PM
  BibTeX 
• Using genetic programming to classify node positive patients in bladder cancer
  Arpit A. Almal and Anirban P. Mitra and Ram H. Datar and Peter F. Lenehan and David W. Fry and Richard J. Cote and William P. Worzel GECCO 2006: Proceedings of the 8th annual conference on Genetic and evolutionary computation, 1, page239--246. Seattle, Washington, USA, ACM Press, 8-12 July2006.
  to synthesis synthesis, Nodal concept classification program similarity and measures, pattern Applications, selection, learning, cancer, analysis, evaluation, algorithms, algorithms classifier genetic staging, learning machine induction, design feature programming, Biological bladder rules, by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
  URL | BibTeX