Dan Cornford - Citegraph

Author Info

Name	Affiliation	Papers
DAN CORNFORD	Aston Univ, Birmingham B4 7ET, W Midlands, England	27
Collaborators	Citations	PageRank
45	154	20.87
Referers	Referees	References
400	289	134

Search Limit

100400

Publications (27 rows)

Collaborators (45 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Bayesian Precalibration of a Large Stochastic Microsimulation Model.	0	0.34	2014
Optimal design for correlated processes with input-dependent noise	3	0.45	2014
Managing uncertainty in integrated environmental modelling: The UncertWeb framework.	24	1.59	2013
UncertWeb Processing Service: Making Models Easier to Access on the Web.	3	0.39	2012
Variational Markov chain Monte Carlo for Bayesian smoothing of non-linear diffusions	1	0.38	2012
Gaussian Process Quantile Regression using Expectation Propagation.	2	0.45	2012
INTAMAP: The design and implementation of an interoperable automated interpolation web service	11	1.08	2011
Introduction to this special issue on geoinformatics for environmental surveillance	1	0.35	2011
Automatic processing, quality assurance and serving of real-time weather data	8	1.05	2011
Projected sequential Gaussian processes: A C++ tool for interpolation of large datasets with heterogeneous noise	3	0.47	2011
Uncertainty propagation in chained web based modeling services - the case of eHabitat.	0	0.34	2011
A Comparison of Variational and Markov Chain Monte Carlo Methods for Inference in Partially Observed Stochastic Dynamic Systems	3	0.44	2010
A new variational radial basis function approximation for inference in multivariate diffusions	1	0.38	2010
A variational radial basis function approximation for diffusion processes.	0	0.34	2009
Data Visualisation and Exploration with Prior Knowledge.	0	0.34	2009
Describing and Communicating Uncertainty within the Semantic Web	3	0.41	2008
Variational Inference for Diffusion Processes	23	1.68	2007
Gaussian Process Approximations of Stochastic Differential Equations	37	3.49	2007
Advanced data driven visualisation for geo-spatial data	1	0.36	2006
Outlier detection in scatterometer data: neural network approaches	6	0.71	2003
Online Approximations for Wind-Field Models	1	0.37	2001
Bayesian inference for wind field retrieval	5	1.58	2000
Structured neural network modelling of multi-valued functions for wind vector retrieval from satellite scatterometer measurements	2	0.51	2000
A scatterometer neural network sensor model with input noise	3	0.67	2000
Neural Network Modelling with Input Uncertainty: Theory and Application	6	0.86	2000
Neural Network-Based Wind Vector Retrieval from Satellite Scatterometer Data	2	0.58	1999
Adding constrained discontinuities to Gaussian process models of wind fields	5	1.27	1998