2008 |
22 | EE | Ben Van Calster,
Dirk Timmerman,
Ian T. Nabney,
Lil Valentin,
Antonia C. Testa,
Caroline Van Holsbeke,
Ignace Vergote,
Sabine Van Huffel:
Using Bayesian neural networks with ARD input selection to detect malignant ovarian masses prior to surgery.
Neural Computing and Applications 17(5-6): 489-500 (2008) |
2006 |
21 | EE | Dharmesh M. Maniyar,
Ian T. Nabney:
Data Visualization with Simultaneous Feature Selection.
CIBCB 2006: 1-8 |
20 | EE | Dharmesh M. Maniyar,
Ian T. Nabney:
Visual data mining using principled projection algorithms and information visualization techniques.
KDD 2006: 643-648 |
19 | EE | Dharmesh M. Maniyar,
Ian T. Nabney,
Bruce S. Williams,
Andreas Sewing:
Data Visualization during the Early Stages of Drug Discovery.
Journal of Chemical Information and Modeling 46(4): 1806-1818 (2006) |
2005 |
18 | EE | Davide D'Alimonte,
David Lowe,
Ian T. Nabney,
Vassilis Mersinias,
Colin P. Smith:
MILVA: An interactive tool for the exploration of multidimensional microarray data.
Bioinformatics 21(22): 4192-4193 (2005) |
17 | EE | Ian T. Nabney,
Yi Sun,
Peter Tiño,
Ata Kabán:
Semisupervised Learning of Hierarchical Latent Trait Models for Data Visualization.
IEEE Trans. Knowl. Data Eng. 17(3): 384-400 (2005) |
2004 |
16 | EE | Dharmesh M. Maniyar,
Ian T. Nabney:
Guiding Local Regression Using Visualisation.
Deterministic and Statistical Methods in Machine Learning 2004: 98-109 |
15 | EE | Ian T. Nabney:
Efficient Training Of Rbf Networks For Classification.
Int. J. Neural Syst. 14(3): 201-208 (2004) |
14 | EE | Peter Tiño,
Ian T. Nabney,
Bruce S. Williams,
Jens Lösel,
Yi Sun:
Nonlinear Prediction of Quantitative Structure-Activity Relationships.
Journal of Chemical Information and Modeling 44(5): 1647-1653 (2004) |
2003 |
13 | EE | Robert J. Bullen,
Dan Cornford,
Ian T. Nabney:
Outlier detection in scatterometer data: neural network approaches.
Neural Networks 16(3-4): 419-426 (2003) |
2002 |
12 | EE | Peter Tiño,
Ian T. Nabney:
Hierarchical GTM: Constructing Localized Nonlinear Projection Manifolds in a Principled Way.
IEEE Trans. Pattern Anal. Mach. Intell. 24(5): 639-656 (2002) |
2001 |
11 | EE | Peter Tiño,
Ian T. Nabney,
Yi Sun:
Using Directional Curvatures to Visualize Folding Patterns of the GTM Projection Manifolds.
ICANN 2001: 421-428 |
2000 |
10 | EE | Lars U. Hjorth,
Ian T. Nabney:
Bayesian Training of Mixture Density Networks.
IJCNN (4) 2000: 455-460 |
9 | EE | Dan Cornford,
Guillaume Ramage,
Ian T. Nabney:
A scatterometer neural network sensor model with input noise.
Neurocomputing 30(1-4): 13-21 (2000) |
8 | EE | David J. Evans,
Dan Cornford,
Ian T. Nabney:
Structured neural network modelling of multi-valued functions for wind vector retrieval from satellite scatterometer measurements.
Neurocomputing 30(1-4): 23-30 (2000) |
7 | EE | Ian T. Nabney,
Dan Cornford,
Christopher K. I. Williams:
Bayesian inference for wind field retrieval.
Neurocomputing 30(1-4): 3-11 (2000) |
6 | EE | W. A. Wright,
Guillaume Ramage,
Dan Cornford,
Ian T. Nabney:
Neural Network Modelling with Input Uncertainty: Theory and Application.
VLSI Signal Processing 26(1-2): 169-188 (2000) |
1999 |
5 | EE | Dan Cornford,
Ian T. Nabney,
Christopher M. Bishop:
Neural Network-Based Wind Vector Retrieval from Satellite Scatterometer Data.
Neural Computing and Applications 8(3): 206-217 (1999) |
1998 |
4 | EE | Dan Cornford,
Ian T. Nabney,
Christopher K. I. Williams:
Adding Constrained Discontinuities to Gaussian Process Models of Wind Fields.
NIPS 1998: 861-867 |
1996 |
3 | EE | Ansgar H. L. West,
David Saad,
Ian T. Nabney:
The Learning Dynamcis of a Universal Approximator.
NIPS 1996: 288-294 |
2 | | Ian T. Nabney,
David C. Cressy:
Neural Network Control of a Gas Turbine.
Neural Computing and Applications 4(4): 198-208 (1996) |
1993 |
1 | | David C. Cressy,
Ian T. Nabney,
Adrian M. Simper:
Neural Control of a Batch Distillation.
Neural Computing and Applications 1(2): 115-123 (1993) |