| 2008 |
| 12 | EE | Matthew Williams,
Lucy Bastin,
Dan Cornford,
Ben Ingram:
Describing and Communicating Uncertainty within the Semantic Web.
URSW 2008 |
| 2007 |
| 11 | EE | Anthony Jones,
Dan Cornford:
Defining the Fluid Framework.
IRI 2007: 695-700 |
| 10 | EE | Cédric Archambeau,
Manfred Opper,
Yuan Shen,
Dan Cornford,
John Shawe-Taylor:
Variational Inference for Diffusion Processes.
NIPS 2007 |
| 2006 |
| 9 | EE | Anthony Jones,
Dan Cornford:
Advanced Data Driven Visualisation for Geo-spatial Data.
International Conference on Computational Science (3) 2006: 586-592 |
| 2003 |
| 8 | 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) |
| 2001 |
| 7 | EE | Lehel Csató,
Dan Cornford,
Manfred Opper:
Online Approximations for Wind-Field Models.
ICANN 2001: 300-307 |
| 2000 |
| 6 | EE | Dan Cornford,
Guillaume Ramage,
Ian T. Nabney:
A scatterometer neural network sensor model with input noise.
Neurocomputing 30(1-4): 13-21 (2000) |
| 5 | 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) |
| 4 | EE | Ian T. Nabney,
Dan Cornford,
Christopher K. I. Williams:
Bayesian inference for wind field retrieval.
Neurocomputing 30(1-4): 3-11 (2000) |
| 3 | 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 |
| 2 | 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 |
| 1 | EE | Dan Cornford,
Ian T. Nabney,
Christopher K. I. Williams:
Adding Constrained Discontinuities to Gaussian Process Models of Wind Fields.
NIPS 1998: 861-867 |