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Stephen A. Billings: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Roberto Iglesias, Ulrich Nehmzow, Theocharis Kyriacou, Steve Billings
    Training and Analysis of Mobile Robot Behaviour Through System Identification. [Citation Graph (0, 0)][DBLP]
    CAEPIA, 2005, pp:470-479 [Conf]
  2. Jing Yang, Sarawan Wongsa, Visakan Kadirkamanathan, Stephen A. Billings, Phillip C. Wright
    Differential Evolution and Its Application to Metabolic Flux Analysis. [Citation Graph (0, 0)][DBLP]
    EvoWorkshops, 2005, pp:115-124 [Conf]
  3. Ulrich Nehmzow, Otar Akanyeti, Roberto Iglesias, Theocharis Kyriacou, Stephen A. Billings
    Comparing Robot Controllers Through System Identification. [Citation Graph (0, 0)][DBLP]
    SAB, 2006, pp:843-854 [Conf]
  4. Visakan Kadirkamanathan, Jing Yang, Stephen A. Billings, Phillip C. Wright
    Markov Chain Monte Carlo Algorithm based metabolic flux distribution analysis on Corynebacterium glutamicum. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2006, v:22, n:21, pp:2681-2687 [Journal]
  5. Stephen A. Billings, Chi F. Fling
    Recurrent radial basis function networks for adaptive noise cancellation. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1995, v:8, n:2, pp:273-290 [Journal]
  6. Stephen A. Billings, Xia Hong
    Dual-orthogonal radial basis function networks for nonlinear time series prediction. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1998, v:11, n:3, pp:479-493 [Journal]
  7. Stephen A. Billings, Kian L. Lee
    Nonlinear Fisher discriminant analysis using a minimum squared error cost function and the orthogonal least squares algorithm. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2002, v:15, n:1, pp:263-270 [Journal]
  8. Stephen A. Billings, Guang L. Zheng
    Radial basis function network configuration using genetic algorithms. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1995, v:8, n:6, pp:877-890 [Journal]
  9. Chi F. Fung, Stephen A. Billings, Wan Luo
    On-line Supervised Adaptive Training Using Radial Basis Function Networks. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1996, v:9, n:9, pp:1597-1617 [Journal]
  10. Guoping P. Liu, Visakan Kadirkamanathan, Stephen A. Billings
    On-line identification of nonlinear systems using Volterra polynomial basis function neural networks. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1998, v:11, n:9, pp:1645-1657 [Journal]
  11. Guang L. Zheng, Stephen A. Billings
    Radial Basis Function Network Configuration Using Mutual Information and the Orthogonal Least Squares Algorithm. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1996, v:9, n:9, pp:1619-1637 [Journal]
  12. Hua-Liang Wei, Stephen A. Billings
    Feature Subset Selection and Ranking for Data Dimensionality Reduction. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2007, v:29, n:1, pp:162-166 [Journal]
  13. Ulrich Nehmzow, Roberto Iglesias, Theocharis Kyriacou, Stephen A. Billings
    Robot learning through task identification. [Citation Graph (0, 0)][DBLP]
    Robotics and Autonomous Systems, 2006, v:54, n:9, pp:766-778 [Journal]
  14. Guoping P. Liu, Visakan Kadirkamanathan, Stephen A. Billings
    Variable neural networks for adaptive control of nonlinear systems. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part C, 1999, v:29, n:1, pp:34-43 [Journal]
  15. Y. Zhao, Stephen A. Billings
    Neighborhood Detection Using Mutual Information for the Identification of Cellular Automata. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2006, v:36, n:2, pp:473-479 [Journal]
  16. Jing Yang, Sarawan Wongsa, Visakan Kadirkamanathan, Stephen A. Billings, Phillip C. Wright
    Metabolic Flux Estimation-A Self-Adaptive Evolutionary Algorithm with Singular Value Decomposition. [Citation Graph (0, 0)][DBLP]
    IEEE/ACM Trans. Comput. Biology Bioinform., 2007, v:4, n:1, pp:126-138 [Journal]

  17. Metabolic Flux Estimation from Incomplete Labelling Measurements Using the Expectation/Conditional-Maximisation Algorithm. [Citation Graph (, )][DBLP]


  18. In vivo Intracellular Metabolite Dynamics Estimation by Sequential Monte Carlo Filter. [Citation Graph (, )][DBLP]


  19. Biophysical Modeling of a Drosophila Photoreceptor. [Citation Graph (, )][DBLP]


  20. Data Modelling for Analysis of Adaptive Changes in Fly Photoreceptors. [Citation Graph (, )][DBLP]


  21. Do Empirical Models of Robot-Environment Interaction Have a Meaning? [Citation Graph (, )][DBLP]


  22. Modelling Stem Cells Lineages with Markov Trees. [Citation Graph (, )][DBLP]


  23. Robot programming by demonstration through system identification. [Citation Graph (, )][DBLP]


  24. Output Frequencies of Nonlinear Systems Under A General Input. [Citation Graph (, )][DBLP]


  25. Modified variational Bayes EM estimation of hidden Markov tree model of cell lineages. [Citation Graph (, )][DBLP]


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