Generating walking behaviours in legged robots. - Richard E. Reeve (1999)

Talking to Godot: dialogue with a mobile robot. - Christian Theobalt; Johan Bos; Tim Chapman; Arturo Espinosa-Romero; Mark Fraser; Gillian Hayes 001; Ewan Klein; Tetsushi Oka; Richard E. Reeve (IROS, 2002)

Reafferent or Redundant: Integration of Phonotaxis and Optomotor Behavior in Crickets and Robots. - Barbara Webb; Richard E. Reeve (Adapt. Behav., 2003)

Robot phonotaxis in the wild: a biologically inspired approach to outdoor sound localization. - Andrew D. Horchler; Richard E. Reeve; Barbara Webb; Roger D. Quinn (Adv. Robotics, 2004)

A cricket-inspired Neural Network For FeedForward Compensation and Multisensory Integration. - Paolo Russo; Barbara Webb; Richard E. Reeve; Paolo Arena; Luca Patanè (CDC/ECC, 2005)

New Ears for a Robot Cricket. - Ben Torben-Nielsen; Barbara Webb; Richard E. Reeve (ICANN (1), 2005)

An aVLSI Cricket Ear Model. - André van Schaik; Richard E. Reeve; Craig T. Jin; Tara Julia Hamilton (NIPS, 2005)

New technologies for testing a model of cricket phonotaxis on an outdoor robot. - Richard E. Reeve; Barbara Webb; Andrew D. Horchler; Giacomo Indiveri; Roger D. Quinn (Robotics Auton. Syst., 2005)

An analysis of neural models for walking control. - Richard E. Reeve; John Hallam (IEEE Trans. Neural Networks, 2005)

Directional hearing in a silicon cricket. - Richard E. Reeve; André van Schaik; Craig T. Jin; Tara Julia Hamilton; Ben Torben-Nielsen; Barbara Webb (Biosyst., 2007)

Sequence-Based Prediction for Vaccine Strain Selection and Identification of Antigenic Variability in Foot-and-Mouth Disease Virus. - Richard E. Reeve; Belinda Blignaut; Jan J. Esterhuysen; Pamela Opperman; Louise Matthews; Elizabeth E. Fry; Tjaart A. P. de Beer; Jacques Theron; Elizabeth Rieder; Wilna Vosloo; Hester G. O'Neill; Daniel T. Haydon; et al. (PLoS Comput. Biol., 2010)

Sparse Bayesian Variable Selection for the Identification of Antigenic Variability in the Foot-and-Mouth Disease Virus. - Vinny Davies; Richard E. Reeve; William T. Harvey; Francois F. Maree; Dirk Husmeier (AISTATS, 2014)

Selecting Random Effect Components in a Sparse Hierarchical Bayesian Model for Identifying Antigenic Variability. - Vinny Davies; Richard E. Reeve; William T. Harvey; Dirk Husmeier (CIBB, 2015)

A sparse hierarchical Bayesian model for detecting relevant antigenic sites in virus evolution. - Vinny Davies; Richard E. Reeve; William T. Harvey; Francois F. Maree; Dirk Husmeier (Comput. Stat., 2017)

Estimation of temporal covariances in pathogen dynamics using Bayesian multivariate autoregressive models. - Colette Mair; Sema Nickbakhsh; Richard E. Reeve; Jim McMenamin; Arlene Reynolds; Rory N. Gunson; Pablo R. Murcia; Louise Matthews (PLoS Comput. Biol., 2019)

RAMPVIS: Towards a New Methodology for Developing Visualisation Capabilities for Large-scale Emergency Responses. - Min Chen 001; Alfie Abdul-Rahman; Daniel Archambault; Jason Dykes; Aidan Slingsby; Panagiotis D. Ritsos; Thomas Torsney-Weir; Cagatay Turkay; Benjamin Bach; A. Brett; Hui Fang 003; Radu Jianu; et al. (CoRR, 2020)

FAIR Data Pipeline: provenance-driven data management for traceable scientific workflows. - Sonia Natalie Mitchell; Andrew Lahiff; Nathan Cummings; Jonathan Hollocombe; Bram Boskamp; Dennis Reddyhoff; Ryan Field; Kristian Zarebski; Antony Wilson; Martin Burke; Blair Archibald; Paul Bessell; et al. (CoRR, 2021)

Visualization for Epidemiological Modelling: Challenges, Solutions, Reflections & Recommendations. - Jason Dykes; Alfie Abdul-Rahman; Daniel Archambault; Benjamin Bach; Rita Borgo; Min Chen 001; Jessica A. Enright; Hui Fang 003; Elif E. Firat; Euan Freeman; Tuna Gonen; Claire Harris; et al. (CoRR, 2022)

Gridded Glyphmaps for Supporting Spatial COVID-19 Modelling. - Aidan Slingsby; Richard E. Reeve; Claire Harris (IEEE VIS (Short Papers), 2023)

A Bayesian approach to incorporate structural data into the mapping of genotype to antigenic phenotype of influenza A(H3N2) viruses. - William T. Harvey; Vinny Davies; Rodney S. Daniels; Lynne Whittaker; Victoria Gregory; Alan J. Hay; Dirk Husmeier; John W. McCauley; Richard E. Reeve (PLoS Comput. Biol., 2023)