| 2023 | ECAI | Exploiting Epistemic Uncertainty at Inference Time for Early-Exit Power Saving. | Jack Dymond, Sebastian Stein, Steve R. Gunn |
| 2022 | BMVC | Adapting branched networks to realise progressive intelligence. | Jack Dymond, Sebastian Stein, Steve R. Gunn |
| 2020 | COMPLEXIS | Product Lifecycle De-trending for Sales Forecasting. | Albert F. H. M. Lechner, Steve R. Gunn |
| 2019 | PRICAI | A Stochastic Gradient Method with Biased Estimation for Faster Nonconvex Optimization. | Jia Bi, Steve R. Gunn |
| 2018 | ICTAI | Sparse Deep Neural Networks for Embedded Intelligence. | Jia Bi, Steve R. Gunn |
| 2012 | CEC | Enabling the discovery of computational characteristics of enzyme dynamics. | Gareth L. Jones, Chris Lovell, Steve R. Gunn, Hywel Morgan, Klaus-Peter Zauner |
| 2012 | IJCNN | Towards improved theoretical problems for autonomous discovery. | Chris Lovell, Steve R. Gunn |
| 2011 | ICIP | Snake based unsupervised texture segmentation using Gaussian Markov Random Field Models. | Sasan Mahmoodi, Steve R. Gunn |
| 2010 | DIS | An Artificial Experimenter for Enzymatic Response Characterisation. | Chris Lovell, Gareth L. Jones, Steve R. Gunn, Klaus-Peter Zauner |
| 2010 | UC | Characterising Enzymes for Information Processing: Towards an Artificial Experimenter. | Chris Lovell, Gareth L. Jones, Steve R. Gunn, Klaus-Peter Zauner |
| 2007 | KES | Exploiting Uncertain Data in Support Vector Classification. | Jianqiang Yang, Steve R. Gunn |
| 2003 | BMVC | Fusing Complementary Operators to Enhance Foreground/Background Segmentation. | Ahmad Al-Mazeed, Mark S. Nixon, Steve R. Gunn |
| 2003 | ICDAR | Nonlinear Active Handwriting Models and Their Applications to Handwritten Chinese Radical Recognition. | Geok See Ng, Daming Shi, Steve R. Gunn, Robert I. Damper |
| 2001 | CVPR | A Radical Approach to Handwritten Chinese Character Recognition Using Active Handwriting Models. | Daming Shi, Steve R. Gunn, Robert I. Damper |
| 2001 | ESANN | Texture analysis with the Volterra model using conjugate gradient optimisation. | Adam I. Wilmer, Tania Stathaki, Steve R. Gunn, Robert I. Damper |
| 2001 | ICDAR | Active Radical Modeling for Handwritten Chinese Characters. | Daming Shi, Steve R. Gunn, Robert I. Damper |
| 1999 | Interspeech | Learning phonetic distinctions from speech signals. | Robert I. Damper, Steve R. Gunn |
| 1998 | ICIP | Edge Detection Error in the Discrete Laplacian of Gaussian. | Steve R. Gunn |
| 1998 | Interspeech | On the learnability of the voicing contrast for initial stops. | Robert I. Damper, Steve R. Gunn |
| 1997 | Interspeech | Using MRI to image the moving vocal tract during speech. | Moshrefi Mohammad, E. Moore, John N. Carter, Christine H. Shadle, Steve R. Gunn |
| 1997 | IDA | Network Performance Assessment for Neurofuzzy Data Modelling. | Steve R. Gunn, Martin Brown, Kev M. Bossley |
| 1996 | ICPR | Snake head boundary extraction using global and local energy minimisation. | Steve R. Gunn, Mark S. Nixon |
| 1995 | CAIP | Improving snake performance via a dual active contour. | Steve R. Gunn, Mark S. Nixon |
| 1994 | BMVC | A Model Based Dual Active Contour. | Steve R. Gunn, Mark S. Nixon |