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Gavin J. Gibson
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2020 – today
- 2023
- [j16]Hola Adrakey, Gavin J. Gibson
, Sandrine Eveillard
Bayesian inference for spatio-temporal stochastic transmission of plant disease in the presence of roguing: A case study to characterise the dispersal of Flavescence dorée. PLoS Comput. Biol. 19(9) (2023)
2010 – 2019
- 2019
- [j15]Max S. Y. Lau
Model diagnostics and refinement for phylodynamic models. PLoS Comput. Biol. 15(4) (2019) - 2017
- [j14]Max S. Y. Lau
A mechanistic spatio-temporal framework for modelling individual-to-individual transmission - With an application to the 2014-2015 West Africa Ebola outbreak. PLoS Comput. Biol. 13(10) (2017) - 2015
- [j13]Max S. Y. Lau
A Systematic Bayesian Integration of Epidemiological and Genetic Data. PLoS Comput. Biol. 11(11) (2015) - 2014
- [j12]Franco M. Neri, Alex R. Cook
Bayesian Analysis for Inference of an Emerging Epidemic: Citrus Canker in Urban Landscapes. PLoS Comput. Biol. 10(4) (2014)
2000 – 2009
- 2008
- [j11]Sergio Hernandez-Marin, Andrew M. Wallace
Multilayered 3D LiDAR Image Construction Using Spatial Models in a Bayesian Framework. IEEE Trans. Pattern Anal. Mach. Intell. 30(6): 1028-1040 (2008) - 2007
- [j10]Sergio Hernandez-Marin, Andrew M. Wallace
Bayesian Analysis of Lidar Signals with Multiple Returns. IEEE Trans. Pattern Anal. Mach. Intell. 29(12): 2170-2180 (2007) - [c3]Sergio Hernandez-Marin, Andrew M. Wallace
Spatial Modelling of Multi-layered LiDAR Images using Reversible Jump MCMC. BMVC 2007: 1-10 - 2006
- [j9]Gavin J. Gibson, Wilfred Otten
Bayesian estimation for percolation models of disease spread in plant populations. Stat. Comput. 16(4): 391-402 (2006) - [c2]Sergio Hernandez-Marin, Andrew M. Wallace, Gavin J. Gibson:
Creating Multi-layered 3D Images Using Reversible Jump MCMC Algorithms. ISVC (2) 2006: 405-416 - 2005
- [c1]Sergio Hernandez-Marin, Andrew M. Wallace, Gavin J. Gibson:
Markov Chain Monte Carlo Algorithms for 3D Ranging and Imaging. MVA 2005: 193-196 - 2003
- [j8]Glenn Marion
Estimating likelihoods for spatio-temporal models using importance sampling. Stat. Comput. 13(2): 111-119 (2003) - 2001
- [j7]Gavin J. Gibson, Eric Renshaw:
Likelihood estimation for stochastic compartmental models using Markov chain methods. Stat. Comput. 11(4): 347-358 (2001)
1990 – 1999
- 1998
- [j6]Catherine Z. W. Hassell Sweatman, Gavin J. Gibson, Bernard Mulgrew:
Exact Classification with Two-layer Neural Nets in N Dimensions. Discret. Appl. Math. 81(1-3): 19-39 (1998) - [j5]Catherine Z. W. Hassell Sweatman, Bernard Mulgrew
Two algorithms for neural-network design and training with application to channel equalization. IEEE Trans. Neural Networks 9(3): 533-543 (1998) - 1996
- [j4]Gavin J. Gibson:
Exact Classification with Two-Layer Neural Nets. J. Comput. Syst. Sci. 52(2): 349-356 (1996) - 1993
- [j3]Gavin J. Gibson:
A combinatorial approach to understanding perceptron capabilities. IEEE Trans. Neural Networks 4(6): 989-992 (1993) - 1991
- [j2]Gavin J. Gibson, Sammy Siu, Colin F. N. Cowan:
The application of nonlinear structures to the reconstruction of binary signals. IEEE Trans. Signal Process. 39(8): 1877-1884 (1991) - 1990
- [j1]Gavin J. Gibson, Colin F. N. Cowan:
On the decision regions of multilayer perceptrons. Proc. IEEE 78(10): 1590-1594 (1990)
Coauthor Index
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