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Ian T. Nabney: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Dharmesh M. Maniyar, Ian T. Nabney
    Guiding Local Regression Using Visualisation. [Citation Graph (0, 0)][DBLP]
    Deterministic and Statistical Methods in Machine Learning, 2004, pp:98-109 [Conf]
  2. Peter Tiño, Ian T. Nabney, Yi Sun
    Using Directional Curvatures to Visualize Folding Patterns of the GTM Projection Manifolds. [Citation Graph (0, 0)][DBLP]
    ICANN, 2001, pp:421-428 [Conf]
  3. Lars U. Hjorth, Ian T. Nabney
    Bayesian Training of Mixture Density Networks. [Citation Graph (0, 0)][DBLP]
    IJCNN (4), 2000, pp:455-460 [Conf]
  4. Dharmesh M. Maniyar, Ian T. Nabney
    Visual data mining using principled projection algorithms and information visualization techniques. [Citation Graph (0, 0)][DBLP]
    KDD, 2006, pp:643-648 [Conf]
  5. Dan Cornford, Ian T. Nabney, Christopher K. I. Williams
    Adding Constrained Discontinuities to Gaussian Process Models of Wind Fields. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:861-867 [Conf]
  6. Ansgar H. L. West, David Saad, Ian T. Nabney
    The Learning Dynamcis of a Universal Approximator. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:288-294 [Conf]
  7. Davide D'Alimonte, David Lowe, Ian T. Nabney, Vassilis Mersinias, Colin P. Smith
    MILVA: An interactive tool for the exploration of multidimensional microarray data. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2005, v:21, n:22, pp:4192-4193 [Journal]
  8. Ian T. Nabney
    Efficient Training Of Rbf Networks For Classification. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 2004, v:14, n:3, pp:201-208 [Journal]
  9. Dan Cornford, Guillaume Ramage, Ian T. Nabney
    A scatterometer neural network sensor model with input noise. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2000, v:30, n:1-4, pp:13-21 [Journal]
  10. David J. Evans, Dan Cornford, Ian T. Nabney
    Structured neural network modelling of multi-valued functions for wind vector retrieval from satellite scatterometer measurements. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2000, v:30, n:1-4, pp:23-30 [Journal]
  11. Ian T. Nabney, Dan Cornford, Christopher K. I. Williams
    Bayesian inference for wind field retrieval. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2000, v:30, n:1-4, pp:3-11 [Journal]
  12. Dharmesh M. Maniyar, Ian T. Nabney, Bruce S. Williams, Andreas Sewing
    Data Visualization during the Early Stages of Drug Discovery. [Citation Graph (0, 0)][DBLP]
    Journal of Chemical Information and Modeling, 2006, v:46, n:4, pp:1806-1818 [Journal]
  13. Peter Tiño, Ian T. Nabney, Bruce S. Williams, Jens Lösel, Yi Sun
    Nonlinear Prediction of Quantitative Structure-Activity Relationships. [Citation Graph (0, 0)][DBLP]
    Journal of Chemical Information and Modeling, 2004, v:44, n:5, pp:1647-1653 [Journal]
  14. Dan Cornford, Ian T. Nabney, Christopher M. Bishop
    Neural Network-Based Wind Vector Retrieval from Satellite Scatterometer Data. [Citation Graph (0, 0)][DBLP]
    Neural Computing and Applications, 1999, v:8, n:3, pp:206-217 [Journal]
  15. David C. Cressy, Ian T. Nabney, Adrian M. Simper
    Neural Control of a Batch Distillation. [Citation Graph (0, 0)][DBLP]
    Neural Computing and Applications, 1993, v:1, n:2, pp:115-123 [Journal]
  16. Ian T. Nabney, David C. Cressy
    Neural Network Control of a Gas Turbine. [Citation Graph (0, 0)][DBLP]
    Neural Computing and Applications, 1996, v:4, n:4, pp:198-208 [Journal]
  17. Robert J. Bullen, Dan Cornford, Ian T. Nabney
    Outlier detection in scatterometer data: neural network approaches. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2003, v:16, n:3-4, pp:419-426 [Journal]
  18. Peter Tiño, Ian T. Nabney
    Hierarchical GTM: Constructing Localized Nonlinear Projection Manifolds in a Principled Way. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2002, v:24, n:5, pp:639-656 [Journal]
  19. Ian T. Nabney, Yi Sun, Peter Tiño, Ata Kabán
    Semisupervised Learning of Hierarchical Latent Trait Models for Data Visualization. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2005, v:17, n:3, pp:384-400 [Journal]

  20. Data Visualization with Simultaneous Feature Selection. [Citation Graph (, )][DBLP]


  21. Combining the Wavelet Transform and Forecasting Models to Predict Gas Forward Prices. [Citation Graph (, )][DBLP]


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