| Gaussian process approximations of stochastic differential equations C Archambeau, D Cornford, M Opper, J Shawe-Taylor Gaussian Processes in Practice, 1-16, 2007 | 195 | 2007 |
| Managing uncertainty in integrated environmental modelling: The UncertWeb framework L Bastin, D Cornford, R Jones, GBM Heuvelink, E Pebesma, C Stasch, ... Environmental Modelling & Software 39, 116-134, 2013 | 180 | 2013 |
| How good are citizen weather stations? Addressing a biased opinion S Bell, D Cornford, L Bastin Weather 70 (3), 75-84, 2015 | 139 | 2015 |
| The state of automated amateur weather observations S Bell, D Cornford, L Bastin Weather 68 (2), 36-41, 2013 | 121 | 2013 |
| Variational inference for diffusion processes C Archambeau, M Opper, Y Shen, D Cornford, J Shawe-Taylor Advances in neural information processing systems 20, 2007 | 117 | 2007 |
| INTAMAP: the design and implementation of an interoperable automated interpolation web service E Pebesma, D Cornford, G Dubois, GBM Heuvelink, D Hristopulos, J Pilz, ... Computers & Geosciences 37 (3), 343-352, 2011 | 108 | 2011 |
| Health informatics deployment in Nigeria P Idowu, D Cornford, L Bastin Journal of Health Informatics in Developing Countries 2 (1), 2008 | 108 | 2008 |
| Automatic processing, quality assurance and serving of real-time weather data M Williams, D Cornford, L Bastin, R Jones, S Parker Computers & Geosciences 37 (3), 353-362, 2011 | 56 | 2011 |
| An integrated view of data quality in Earth observation X Yang, JD Blower, L Bastin, V Lush, A Zabala, J Masó, D Cornford, ... Philosophical Transactions of the Royal Society A: Mathematical, Physical …, 2013 | 51 | 2013 |
| A comparison between spatial winter indices and expenditure on winter road maintenance D Cornford, JE Thornes International Journal of Climatology 16 (3), 339-357, 1996 | 51 | 1996 |
| Neural network-based wind vector retrieval from satellite scatterometer data D Cornford, IT Nabney, CM Bishop Neural computing & applications 8, 206-217, 1999 | 48 | 1999 |
| Variational mean-field algorithm for efficient inference in large systems of stochastic differential equations MD Vrettas, M Opper, D Cornford Physical Review E 91 (1), 012148, 2015 | 41 | 2015 |
| Bayesian analysis of the scatterometer wind retrieval inverse problem: some new approaches D Cornford, L Csató, DJ Evans, M Opper Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2004 | 41 | 2004 |
| Outlier detection in scatterometer data: neural network approaches RJ Bullen, D Cornford, IT Nabney Neural Networks 16 (3-4), 419-426, 2003 | 40 | 2003 |
| Optimal design for correlated processes with input-dependent noise A Boukouvalas, D Cornford, M Stehlík Computational Statistics & Data Analysis 71, 1088-1102, 2014 | 38 | 2014 |
| Uncertainty markup language (UncertML) M Williams, D Cornford, L Bastin, E Pebesma Open Geospatial Consortium (OGC), 2009 | 38 | 2009 |
| Learning heteroscedastic Gaussian processes for complex datasets A Boukouvalas, D Cornford Group 44 (0), 2009 | 35 | 2009 |
| Sequential, Bayesian geostatistics: a principled method for large data sets D Cornford, L Csató, M Opper Geographical Analysis 37 (2), 183-199, 2005 | 34 | 2005 |
| Estimating parameters in stochastic systems: A variational Bayesian approach MD Vrettas, D Cornford, M Opper Physica D: Nonlinear Phenomena 240 (23), 1877-1900, 2011 | 31 | 2011 |
| Modelling frontal discontinuities in wind fields D Cornford, IT Nabney, CKI Williams Journal of nonparametric statistics 14 (1-2), 43-58, 2002 | 31 | 2002 |
