 | 2011 |
| 21 |  | Grégoire Dubois,
Dan Cornford,
Dionissios T. Hristopulos,
Edzer J. Pebesma,
Jürgen Pilz:
Introduction to this special issue on geoinformatics for environmental surveillance.
Computers & Geosciences 37(3): 277-279 (2011) |
| 20 |  | Remi Barillec,
Ben Ingram,
Dan Cornford,
Lehel Csató:
Projected sequential Gaussian processes: A C++ tool for interpolation of large datasets with heterogeneous noise.
Computers & Geosciences 37(3): 295-309 (2011) |
| 19 |  | Edzer J. Pebesma,
Dan Cornford,
Grégoire Dubois,
Gerard B. M. Heuvelink,
Dionissios T. Hristopulos,
Jürgen Pilz,
Ulrich Stöhlker,
Gary Morin,
Jon O. Skøien:
INTAMAP: The design and implementation of an interoperable automated interpolation web service.
Computers & Geosciences 37(3): 343-352 (2011) |
| 18 |  | Matthew Williams,
Dan Cornford,
Lucy Bastin,
Richard Jones,
Stephen Parker:
Automatic processing, quality assurance and serving of real-time weather data.
Computers & Geosciences 37(3): 353-362 (2011) |
| 2010 |
| 17 |  | Michail D. Vrettas,
Dan Cornford,
Manfred Opper,
Yuan Shen:
A new variational radial basis function approximation for inference in multivariate diffusions.
Neurocomputing 73(7-9): 1186-1198 (2010) |
| 16 |  | Yuan Shen,
Cédric Archambeau,
Dan Cornford,
Manfred Opper,
John Shawe-Taylor,
Remi Barillec:
A Comparison of Variational and Markov Chain Monte Carlo Methods for Inference in Partially Observed Stochastic Dynamic Systems.
Signal Processing Systems 61(1): 51-59 (2010) |
| 2009 |
| 15 |  | Michail D. Vrettas,
Dan Cornford,
Yuan Shen:
A variational radial basis function approximation for diffusion processes.
ESANN 2009 |
| 14 |  | Peter Adebayo Idowu,
Dan Cornford,
Lucy Bastin:
A Conceptual Data Model for Disease Surveillance, Monitoring and Prediction in Nigeria.
HEALTHINF 2009: 442-449 |
| 2008 |
| 13 |  | Matthew Williams,
Lucy Bastin,
Dan Cornford,
Ben Ingram:
Describing and Communicating Uncertainty within the Semantic Web.
URSW 2008 |
| 2007 |
| 12 |  | Anthony Jones,
Dan Cornford:
Defining the Fluid Framework.
IRI 2007: 695-700 |
| 11 |  | Cédric Archambeau,
Manfred Opper,
Yuan Shen,
Dan Cornford,
John Shawe-Taylor:
Variational Inference for Diffusion Processes.
NIPS 2007 |
| 10 |  | Cédric Archambeau,
Dan Cornford,
Manfred Opper,
John Shawe-Taylor:
Gaussian Process Approximations of Stochastic Differential Equations.
Journal of Machine Learning Research - Proceedings Track 1: 1-16 (2007) |
| 2006 |
| 9 |  | Anthony Jones,
Dan Cornford:
Advanced Data Driven Visualisation for Geo-spatial Data.
International Conference on Computational Science (3) 2006: 586-592 |
| 2003 |
| 8 |  | 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 |  | Lehel Csató,
Dan Cornford,
Manfred Opper:
Online Approximations for Wind-Field Models.
ICANN 2001: 300-307 |
| 2000 |
| 6 |  | Dan Cornford,
Guillaume Ramage,
Ian T. Nabney:
A scatterometer neural network sensor model with input noise.
Neurocomputing 30(1-4): 13-21 (2000) |
| 5 |  | 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 |  | Ian T. Nabney,
Dan Cornford,
Christopher K. I. Williams:
Bayesian inference for wind field retrieval.
Neurocomputing 30(1-4): 3-11 (2000) |
| 3 |  | 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 |  | 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 |  | Dan Cornford,
Ian T. Nabney,
Christopher K. I. Williams:
Adding Constrained Discontinuities to Gaussian Process Models of Wind Fields.
NIPS 1998: 861-867 |