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publications

(11)   

• Unravelling and forecasting algal population dynamics in two lakes different in morphometry and eutrophication by neural and evolutionary computation
  Friedrich Recknagel and Hongqing Cao and Bomchul Kim and Noriko Takamura and Amber Welk Ecological Informatics1(2):133--151April2006.
  to series modelling, Diatoms, Soyang, neural Kasumigaura, networks, Hybrid supervised Recurrent Ordination, Time programming, genetic Clustering, evolutionary Non-supervised Forecasting algorithms, artificial Cyanobacteria, Lake by brazovayeye on Jun 19, 2008, 5:46 PM
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• Artificial Immune Recognition System (AIRS): An Immune-Inspired Supervised Learning Algorithm
  Andrew Watkins and Jon Timmis and Lois Boggess Genetic Programming and Evolvable Machines5(3):291--317September2004.
  to networks AIS, immune neural systems, artificial learning, classification, supervised by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• On the use of multi-objective evolutionary algorithms for the induction of fuzzy classification rule systems
  Christian Setzkorn and Ray C. Paton BioSystems81(2):101--112August2005.
  to systems programming, Multi-objective genetic rule evolutionary classification Supervised algorithms, classification, Fuzzy by brazovayeye on Jun 19, 2008, 5:35 PM
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• Pareto-coevolutionary genetic programming for problem decomposition in multi-class classification
  Peter Lichodzijewski and Malcolm I. Heywood GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation, 1, page464--471. London, ACM Press, 7-11 July2007.
  to training subset Coevolution, programming, genetic decomposition, selection, problem efficiency algorithms, learning, supervised by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• Pareto-coevolutionary genetic programming classifier
  Michal Lemczyk and Malcolm Heywood GECCO 2006: Proceedings of the 8th annual conference on Genetic and evolutionary computation, 1, page945--946. Seattle, Washington, USA, ACM Press, 8-12 July2006.
  to Poster, programming: learning learning, supervised subset parameter genetic evolutionary selection, algorithms, coevolution, computation, by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• Comparison of GENIE and conventional supervised classifiers for multispectral image feature extraction
  Neal R. Harvey and James Theiler and Steven P. Brumby and Simon Perkins and John J. Szymanski and Jeffrey J. Bloch and Reid B. Porter and Mark Galassi and A. Cody Young IEEE Transactions on Geoscience and Remote Sensing40(2):393--404February2002.
  to extraction, computing, Evolutionary visible technique, processing, land GENetic IR, signal remote Algorithms, classification, Classification, sensing, GENIE, surface, programming, Remote techniques, Image evolutionary Imagery, feature algorithms, infrared, Multispectral terrain Processing, multidimensional algorithm, image Supervised mapping, supervised measurement genetic Imagery Exploitation, geophysical multispectral hybrid geophysics Sensing, classifier, by brazovayeye on Jun 19, 2008, 5:35 PM
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• Application of genetic programming to the calibration of industrial robots
  J. U. Dolinsky and I. D. Jenkinson and G. J. Colquhoun Computers in Industry58(3):255--264April2007.
  to calibration, static programming, kinematic genetic Inverse Co-evolution algorithms, learning, supervised Distal by brazovayeye on Jun 19, 2008, 5:35 PM
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• Evolving land cover classification algorithms for multispectral and multitemporal imagery
  Steven P. Brumby and James Theiler and Jeffrey J. Bloch and Neal R. Harvey and Simon Perkins and John J. Szymanski and A. Cody Young Proc. SPIE Imaging Spectrometry VII, 4480, (2002)
  to Land Supervised Multi-spectral classification, Feature K-means cover, Extraction, Wildfire clustering, imagery, programming, genetic algorithms, by brazovayeye on Jun 19, 2008, 5:35 PM
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• Evolving forest fire burn severity classification algorithms for multi-spectral imagery
  S. P. Brumby and J. J. Bloch and N. R. Harvey and J. Theiler and S. Perkins and A. C. Young and J. J. Szymanski In Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VII, Proceedings of SPIE, 4381, page236--245. (2001)
  to Forest imagery, GENIE, programming, genetic Supervised algorithms, Aladdin Multispectral classification, Wildfire, fire, by brazovayeye on Jun 19, 2008, 5:35 PM
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• Three geometric approaches for representing decision rules in a supervised learning system
  Jesus Aguilar and Jose Riquelme and Miguel Toro Late Breaking Papers at the 1999 Genetic and Evolutionary Computation Conference, page8--15. Orlando, Florida, USA, 13 July1999.
  to hyper ellipse data mining, rectangles, Algorithms, learning, supervised rotated Genetic by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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