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

Publications of Author

  1. Sach Mukherjee, Stephen J. Roberts
    A Theoretical Analysis of Gene Selection. [Citation Graph (0, 0)][DBLP]
    CSB, 2004, pp:131-141 [Conf]
  2. Sach Mukherjee, Stephen J. Roberts
    Probabilistic Consistency Analysis for Gene Selection. [Citation Graph (0, 0)][DBLP]
    CSB, 2004, pp:487-488 [Conf]
  3. Sach Mukherjee, Stephen J. Roberts, Mark J. van der Laan
    Data-adaptive test statistics for microarray data. [Citation Graph (0, 0)][DBLP]
    ECCB/JBI, 2005, pp:114- [Conf]
  4. Stephen J. Roberts, Christopher Holmes, Dave Denison
    Minimum-Entropy Data Clustering Using Reversible Jump Markov Chain Monte Carlo. [Citation Graph (0, 0)][DBLP]
    ICANN, 2001, pp:103-110 [Conf]
  5. Stephen J. Roberts, William D. Penny
    Mixtures of Independent Component Analysers. [Citation Graph (0, 0)][DBLP]
    ICANN, 2001, pp:527-534 [Conf]
  6. Peter Sykacek, Stephen Roberts, Iead Rezek, Arthur Flexer, Georg Dorffner
    A Probabilistic Approach to High-Resolution Sleep Analysis. [Citation Graph (0, 0)][DBLP]
    ICANN, 2001, pp:617-624 [Conf]
  7. Nicholas P. Hughes, Lionel Tarassenko, Stephen J. Roberts
    Markov Models for Automated ECG Interval Analysis. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  8. Lyndsey C. Pickup, Stephen J. Roberts, Andrew Zisserman
    A Sampled Texture Prior for Image Super-Resolution. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  9. Peter Sykacek, Stephen Roberts
    Bayesian time series classification. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:937-944 [Conf]
  10. Peter Sykacek, Stephen J. Roberts
    Adaptive Classification by Variational Kalman Filtering. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:737-744 [Conf]
  11. Jens Rittscher, Andrew Blake, Stephen J. Roberts
    Towards the automatic analysis of complex human body motions. [Citation Graph (0, 0)][DBLP]
    Image Vision Comput., 2002, v:20, n:12, pp:905-916 [Journal]
  12. Sach Mukherjee, Stephen J. Roberts
    A Theoretical Analysis of the Selection of Differentially Expressed Genes. [Citation Graph (0, 0)][DBLP]
    J. Bioinformatics and Computational Biology, 2005, v:3, n:3, pp:627-644 [Journal]
  13. Richard M. Everson, Stephen J. Roberts
    Independent Component Analysis: A Flexible Nonlinearity and Decorrelating Manifold Approach. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1999, v:11, n:8, pp:1957-1983 [Journal]
  14. Dirk Husmeier, William D. Penny, Stephen J. Roberts
    An empirical evaluation of Bayesian sampling with hybrid Monte Carlo for training neural network classifiers. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1999, v:12, n:4-5, pp:677-705 [Journal]
  15. William D. Penny, Stephen J. Roberts
    Bayesian neural networks for classification: how useful is the evidence framework? [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1999, v:12, n:6, pp:877-892 [Journal]
  16. Stephen J. Roberts, Christopher Holmes, Dave Denison
    Minimum-Entropy Data Partitioning Using Reversible Jump Markov Chain Monte Carlo. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2001, v:23, n:8, pp:909-914 [Journal]
  17. Stephen J. Roberts, Dirk Husmeier, Iead Rezek, William D. Penny
    Bayesian Approaches to Gaussian Mixture Modeling. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 1998, v:20, n:11, pp:1133-1142 [Journal]
  18. Stephen J. Roberts
    Parametric and non-parametric unsupervised cluster analysis. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 1997, v:30, n:2, pp:261-272 [Journal]
  19. Stephen J. Roberts, Richard M. Everson, Iead Rezek
    Maximum certainty data partitioning. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2000, v:33, n:5, pp:833-839 [Journal]
  20. S. N. Mukherjee, Stephen J. Roberts, Peter Sykacek, Sarah J. Gurr
    Gene ranking using bootstrapped P-values. [Citation Graph (0, 0)][DBLP]
    SIGKDD Explorations, 2003, v:5, n:2, pp:16-22 [Journal]
  21. Lyndsey C. Pickup, David P. Capel, Stephen J. Roberts, Andrew Zisserman
    Bayesian Image Super-resolution, Continued. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1089-1096 [Conf]

  22. Active Data Selection for Sensor Networks with Faults and Changepoints. [Citation Graph (, )][DBLP]


  23. Sequential Bayesian prediction in the presence of changepoints. [Citation Graph (, )][DBLP]


  24. Depth of anaesthesia assessment with generative polyspectral models. [Citation Graph (, )][DBLP]


  25. On-line novelty detection using the Kalman filter and extreme value theory. [Citation Graph (, )][DBLP]


  26. Adaptive Classification by Hybrid EKF with Truncated Filtering: Brain Computer Interfacing. [Citation Graph (, )][DBLP]


  27. Towards Real-Time Information Processing of Sensor Network Data Using Computationally Efficient Multi-output Gaussian Processes. [Citation Graph (, )][DBLP]


  28. Bayesian optimization for sensor set selection. [Citation Graph (, )][DBLP]


  29. Bayesian Methods for Image Super-Resolution. [Citation Graph (, )][DBLP]


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