On the decision regions of multilayer perceptrons. - Gavin J. Gibson; Colin F. N. Cowan (Proc. IEEE, 1990)

The application of nonlinear structures to the reconstruction of binary signals. - Gavin J. Gibson; Sammy Siu; Colin F. N. Cowan (IEEE Trans. Signal Process., 1991)

A combinatorial approach to understanding perceptron capabilities. - Gavin J. Gibson (IEEE Trans. Neural Networks, 1993)

Exact Classification with Two-Layer Neural Nets. - Gavin J. Gibson (J. Comput. Syst. Sci., 1996)

Exact Classification with Two-layer Neural Nets in N Dimensions. - Catherine Z. W. Hassell Sweatman; Gavin J. Gibson; Bernard Mulgrew (Discret. Appl. Math., 1998)

Two algorithms for neural-network design and training with application to channel equalization. - Catherine Z. W. Hassell Sweatman; Bernard Mulgrew; Gavin J. Gibson (IEEE Trans. Neural Networks, 1998)

Likelihood estimation for stochastic compartmental models using Markov chain methods. - Gavin J. Gibson; Eric Renshaw (Stat. Comput., 2001)

Estimating likelihoods for spatio-temporal models using importance sampling. - Glenn Marion; Gavin J. Gibson; Eric Renshaw (Stat. Comput., 2003)

Markov Chain Monte Carlo Algorithms for 3D Ranging and Imaging. - Sergio Hernandez-Marin; Andrew M. Wallace; Gavin J. Gibson (MVA, 2005)

Creating Multi-layered 3D Images Using Reversible Jump MCMC Algorithms. - Sergio Hernandez-Marin; Andrew M. Wallace; Gavin J. Gibson (ISVC (2), 2006)

Bayesian estimation for percolation models of disease spread in plant populations. - Gavin J. Gibson; Wilfred Otten; João A. N. Filipe; Alex R. Cook; Glenn Marion; Christopher A. Gilligan (Stat. Comput., 2006)

Spatial Modelling of Multi-layered LiDAR Images using Reversible Jump MCMC. - Sergio Hernandez-Marin; Andrew M. Wallace; Gavin J. Gibson (BMVC, 2007)

Bayesian Analysis of Lidar Signals with Multiple Returns. - Sergio Hernandez-Marin; Andrew M. Wallace; Gavin J. Gibson (IEEE Trans. Pattern Anal. Mach. Intell., 2007)

Multilayered 3D LiDAR Image Construction Using Spatial Models in a Bayesian Framework. - Sergio Hernandez-Marin; Andrew M. Wallace; Gavin J. Gibson (IEEE Trans. Pattern Anal. Mach. Intell., 2008)

Bayesian Analysis for Inference of an Emerging Epidemic: Citrus Canker in Urban Landscapes. - Franco M. Neri; Alex R. Cook; Gavin J. Gibson; Tim R. Gottwald; Christopher A. Gilligan (PLoS Comput. Biol., 2014)

A Systematic Bayesian Integration of Epidemiological and Genetic Data. - Max S. Y. Lau; Glenn Marion; George Streftaris; Gavin J. Gibson (PLoS Comput. Biol., 2015)

A mechanistic spatio-temporal framework for modelling individual-to-individual transmission - With an application to the 2014-2015 West Africa Ebola outbreak. - Max S. Y. Lau; Gavin J. Gibson; Hola Adrakey; Amanda McClelland; Steven Riley; Jon Zelner; George Streftaris; Sebastian Funk; C. Jessica E. Metcalf; Benjamin D. Dalziel; Bryan T. Grenfell (PLoS Comput. Biol., 2017)

Model diagnostics and refinement for phylodynamic models. - Max S. Y. Lau; Bryan T. Grenfell; Colin J. Worby; Gavin J. Gibson (PLoS Comput. Biol., 2019)

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. - Hola Adrakey; Gavin J. Gibson; Sandrine Eveillard; Sylvie Malembic-Maher; Frédéric Fabre (PLoS Comput. Biol., 2023)