Dan Cornford - RankMe

32 papers A* 1B 1C 2Misc 2Journal 18Unranked 8

Year	Rank	Type	Title / Venue / Authors
2014	J	`jnl`	Bayesian Precalibration of a Large Stochastic Microsimulation Model. IEEE Trans. Intell. Transp. Syst. Alexis Boukouvalas, Pete Sykes, Dan Cornford, Hugo Maruri-Aguilar
2014	J	`jnl`	Optimal design for correlated processes with input-dependent noise. Comput. Stat. Data Anal. Alexis Boukouvalas, Dan Cornford, Milan Stehlík
2013	J	`jnl`	Managing uncertainty in integrated environmental modelling: The UncertWeb framework. Environ. Model. Softw. Lucy Bastin, Dan Cornford, Richard Jones, Gerard B. M. Heuvelink, Edzer J. Pebesma, Christoph Stasch, Stefano Nativi, Paolo Mazzetti, Matthew Williams
2012	A*	`conf`	Gaussian Process Quantile Regression using Expectation Propagation. ICML Alexis Boukouvalas, Remi Louis Barillec, Dan Cornford
2012	J	`jnl`	Gaussian Process Quantile Regression using Expectation Propagation. CoRR Alexis Boukouvalas, Remi Louis Barillec, Dan Cornford
2012	J	`jnl`	UncertWeb Processing Service: Making Models Easier to Access on the Web. Trans. GIS Richard Jones, Dan Cornford, Lucy Bastin
2012	J	`jnl`	Variational Markov chain Monte Carlo for Bayesian smoothing of non-linear diffusions. Comput. Stat. Yuan Shen, Dan Cornford, Manfred Opper, Cédric Archambeau
2011	J	`jnl`	Automatic processing, quality assurance and serving of real-time weather data. Comput. Geosci. Matthew Williams, Dan Cornford, Lucy Bastin, Richard Jones, Stephen Parker
2011	J	`jnl`	INTAMAP: The design and implementation of an interoperable automated interpolation web service. Comput. Geosci. Edzer J. Pebesma, Dan Cornford, Grégoire Dubois, Gerard B. M. Heuvelink, Dionissios T. Hristopulos, Jürgen Pilz, Ulrich Stöhlker, Gary Morin, Jon O. Skøien
2011	J	`jnl`	Introduction to this special issue on geoinformatics for environmental surveillance. Comput. Geosci. Grégoire Dubois, Dan Cornford, Dionissios T. Hristopulos, Edzer J. Pebesma, Jürgen Pilz
2011	J	`jnl`	Projected sequential Gaussian processes: A C++ tool for interpolation of large datasets with heterogeneous noise. Comput. Geosci. Remi Louis Barillec, Ben Ingram, Dan Cornford, Lehel Csató
2011	—	`conf`	Uncertainty propagation in chained web based modeling services: the case of eHabitat. EnviroInfo Jon O. Skøien, Michael Schulz, Grégoire Dubois, Richard Jones, Gerard B. M. Heuvelink, Dan Cornford
2010	J	`jnl`	A Comparison of Variational and Markov Chain Monte Carlo Methods for Inference in Partially Observed Stochastic Dynamic Systems. J. Signal Process. Syst. Yuan Shen, Cédric Archambeau, Dan Cornford, Manfred Opper, John Shawe-Taylor, Remi Louis Barillec
2010	J	`jnl`	A new variational radial basis function approximation for inference in multivariate diffusions. Neurocomputing Michail D. Vrettas, Dan Cornford, Manfred Opper, Yuan Shen
2010	—	`conf`	The Uncertainty Enabled Model Web (UncertWeb). ENVIP@EnviroInfo Edzer J. Pebesma, Dan Cornford, Stefano Nativi, Christoph Stasch
2009	—	`conf`	A Conceptual Data Model for Disease Surveillance, Monitoring and Prediction in Nigeria. HEALTHINF Peter Adebayo Idowu, Dan Cornford, Lucy Bastin
2009	B	`conf`	A variational radial basis function approximation for diffusion processes. ESANN Michail D. Vrettas, Dan Cornford, Yuan Shen
2009	C	`conf`	Data Visualisation and Exploration with Prior Knowledge. EANN Martin Schroeder, Dan Cornford, Ian T. Nabney
2008	—	`conf`	Describing and Communicating Uncertainty within the Semantic Web. URSW Matthew Williams, Lucy Bastin, Dan Cornford, Ben Ingram
2007	—	`conf`	Data Driven Graphical Applications: A Fluid Approach. TPCG Anthony Jones, C. Mantle, Dan Cornford
2007	Misc	`conf`	Defining the Fluid Framework. IRI Anthony Jones, Dan Cornford
2007	—	`conf`	Gaussian Process Approximations of Stochastic Differential Equations. Gaussian Processes in Practice Cédric Archambeau, Dan Cornford, Manfred Opper, John Shawe-Taylor
2007	—	`conf`	Variational Inference for Diffusion Processes. NIPS Cédric Archambeau, Manfred Opper, Yuan Shen, Dan Cornford, John Shawe-Taylor
2006	Misc	`conf`	Advanced Data Driven Visualisation for Geo-spatial Data. International Conference on Computational Science (3) Anthony Jones, Dan Cornford
2003	J	`jnl`	Outlier detection in scatterometer data: neural network approaches. Neural Networks Robert J. Bullen, Dan Cornford, Ian T. Nabney
2001	C	`conf`	Online Approximations for Wind-Field Models. ICANN Lehel Csató, Dan Cornford, Manfred Opper
2000	J	`jnl`	A scatterometer neural network sensor model with input noise. Neurocomputing Dan Cornford, Guillaume Ramage, Ian T. Nabney
2000	J	`jnl`	Bayesian inference for wind field retrieval. Neurocomputing Ian T. Nabney, Dan Cornford, Christopher K. I. Williams
2000	J	`jnl`	Neural Network Modelling with Input Uncertainty: Theory and Application. J. VLSI Signal Process. W. A. Wright, Guillaume Ramage, Dan Cornford, Ian T. Nabney
2000	J	`jnl`	Structured neural network modelling of multi-valued functions for wind vector retrieval from satellite scatterometer measurements. Neurocomputing David J. Evans, Dan Cornford, Ian T. Nabney
1999	J	`jnl`	Neural Network-Based Wind Vector Retrieval from Satellite Scatterometer Data. Neural Comput. Appl. Dan Cornford, Ian T. Nabney, Christopher M. Bishop
1998	—	`conf`	Adding Constrained Discontinuities to Gaussian Process Models of Wind Fields. NIPS Dan Cornford, Ian T. Nabney, Christopher K. I. Williams