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2010 – 2019
- 2014
[j17]Alexis Boukouvalas, Dan Cornford
, Milan Stehlík:
Optimal design for correlated processes with input-dependent noise. Comput. Stat. Data Anal. 71: 1088-1102 (2014)- [j16]Alexis Boukouvalas, Pete Sykes, Dan Cornford, Hugo Maruri-Aguilar:
Bayesian Precalibration of a Large Stochastic Microsimulation Model. IEEE Trans. Intell. Transp. Syst. 15(3): 1337-1347 (2014) - 2013
- [j15]Lucy Bastin, Dan Cornford, Richard Jones, Gerard B. M. Heuvelink, Edzer J. Pebesma, Christoph Stasch, Stefano Nativi, Paolo Mazzetti, Matthew Williams:
Managing uncertainty in integrated environmental modelling: The UncertWeb framework. Environ. Model. Softw. 39: 116-134 (2013) - 2012
- [j14]Yuan Shen, Dan Cornford, Manfred Opper, Cédric Archambeau:
Variational Markov chain Monte Carlo for Bayesian smoothing of non-linear diffusions. Comput. Stat. 27(1): 149-176 (2012) - [j13]Richard Jones, Dan Cornford, Lucy Bastin:
UncertWeb Processing Service: Making Models Easier to Access on the Web. Trans. GIS 16(6): 921-939 (2012) - [c13]Alexis Boukouvalas, Remi Louis Barillec, Dan Cornford:
Gaussian Process Quantile Regression using Expectation Propagation. ICML 2012 - [i1]Alexis Boukouvalas, Remi Louis Barillec, Dan Cornford:
Gaussian Process Quantile Regression using Expectation Propagation. CoRR abs/1206.6391 (2012) - 2011
- [j12]Grégoire Dubois, Dan Cornford, Dionissios T. Hristopulos, Edzer J. Pebesma, Jürgen Pilz:
Introduction to this special issue on geoinformatics for environmental surveillance. Comput. Geosci. 37(3): 277-279 (2011) - [j11]Remi Louis Barillec, Ben Ingram, Dan Cornford, Lehel Csató:
Projected sequential Gaussian processes: A C++ tool for interpolation of large datasets with heterogeneous noise. Comput. Geosci. 37(3): 295-309 (2011) - [j10]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. Comput. Geosci. 37(3): 343-352 (2011) - [j9]Matthew Williams, Dan Cornford, Lucy Bastin, Richard Jones, Stephen Parker:
Automatic processing, quality assurance and serving of real-time weather data. Comput. Geosci. 37(3): 353-362 (2011) - [c12]Jon O. Skøien, Michael Schulz, Grégoire Dubois, Richard Jones, Gerard B. M. Heuvelink, Dan Cornford:
Uncertainty propagation in chained web based modeling services: the case of eHabitat. EnviroInfo 2011: 46-58 - 2010
- [j8]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) - [j7]Yuan Shen, Cédric Archambeau, Dan Cornford, Manfred Opper, John Shawe-Taylor, Remi Louis Barillec:
A Comparison of Variational and Markov Chain Monte Carlo Methods for Inference in Partially Observed Stochastic Dynamic Systems. J. Signal Process. Syst. 61(1): 51-59 (2010)
2000 – 2009
- 2009
- [c11]Peter Adebayo Idowu, Dan Cornford, Lucy Bastin:
A Conceptual Data Model for Disease Surveillance, Monitoring and Prediction in Nigeria. HEALTHINF 2009: 442-449 - [c10]Martin Schroeder, Dan Cornford, Ian T. Nabney:
Data Visualisation and Exploration with Prior Knowledge. EANN 2009: 131-142 - [c9]Michail D. Vrettas, Dan Cornford, Yuan Shen:
A variational radial basis function approximation for diffusion processes. ESANN 2009 - 2008
- [c8]Matthew Williams, Lucy Bastin, Dan Cornford, Ben Ingram:
Describing and Communicating Uncertainty within the Semantic Web. URSW 2008 - 2007
- [c7]Anthony Jones, Dan Cornford:
Defining the Fluid Framework. IRI 2007: 695-700 - [c6]Cédric Archambeau, Manfred Opper, Yuan Shen, Dan Cornford, John Shawe-Taylor:
Variational Inference for Diffusion Processes. NIPS 2007: 17-24 - [c5]Anthony Jones, C. Mantle, Dan Cornford:
Data Driven Graphical Applications: A Fluid Approach. TPCG 2007: 187-194 - [c4]Cédric Archambeau, Dan Cornford, Manfred Opper, John Shawe-Taylor:
Gaussian Process Approximations of Stochastic Differential Equations. Gaussian Processes in Practice 2007: 1-16 - 2006
- [c3]Anthony Jones, Dan Cornford:
Advanced Data Driven Visualisation for Geo-spatial Data. International Conference on Computational Science (3) 2006: 586-592 - 2003
- [j6]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
- [c2]Lehel Csató, Dan Cornford, Manfred Opper:
Online Approximations for Wind-Field Models. ICANN 2001: 300-307 - 2000
- [j5]Ian T. Nabney, Dan Cornford, Christopher K. I. Williams:
Bayesian inference for wind field retrieval. Neurocomputing 30(1-4): 3-11 (2000) - [j4]Dan Cornford, Guillaume Ramage, Ian T. Nabney:
A scatterometer neural network sensor model with input noise. Neurocomputing 30(1-4): 13-21 (2000) - [j3]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) - [j2]W. A. Wright, Guillaume Ramage, Dan Cornford, Ian T. Nabney:
Neural Network Modelling with Input Uncertainty: Theory and Application. J. VLSI Signal Process. 26(1-2): 169-188 (2000)
1990 – 1999
- 1999
- [j1]Dan Cornford, Ian T. Nabney, Christopher M. Bishop:
Neural Network-Based Wind Vector Retrieval from Satellite Scatterometer Data. Neural Comput. Appl. 8(3): 206-217 (1999) - 1998
- [c1]Dan Cornford, Ian T. Nabney, Christopher K. I. Williams:
Adding Constrained Discontinuities to Gaussian Process Models of Wind Fields. NIPS 1998: 861-867
Coauthor Index
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