A Model Based Dual Active Contour. - Steve R. Gunn; Mark S. Nixon (BMVC, 1994)

Improving snake performance via a dual active contour. - Steve R. Gunn; Mark S. Nixon (CAIP, 1995)

Snake head boundary extraction using global and local energy minimisation. - Steve R. Gunn; Mark S. Nixon (ICPR, 1996)

Network Performance Assessment for Neurofuzzy Data Modelling. - Steve R. Gunn; Martin Brown 001; Kev M. Bossley (IDA, 1997)

Using MRI to image the moving vocal tract during speech. - Moshrefi Mohammad; E. Moore; John N. Carter; Christine H. Shadle; Steve R. Gunn (EUROSPEECH, 1997)

A Robust Snake Implementation; A Dual Active Contour. - Steve R. Gunn; Mark S. Nixon (IEEE Trans. Pattern Anal. Mach. Intell., 1997)

Edge Detection Error in the Discrete Laplacian of Gaussian. - Steve R. Gunn (ICIP (2), 1998)

On the learnability of the voicing contrast for initial stops. - Robert I. Damper; Steve R. Gunn (ICSLP, 1998)

Global and Local Active Contours for Head Boundary Extraction. - Steve R. Gunn; Mark S. Nixon (Int. J. Comput. Vis., 1998)

Learning phonetic distinctions from speech signals. - Robert I. Damper; Steve R. Gunn (EUROSPEECH, 1999)

On the discrete representation of the Laplacian of Gaussian. - Steve R. Gunn (Pattern Recognit., 1999)

Extracting Phonetic Knowledge from Learning Systems: Perceptrons, Support Vector Machines and Linear Discriminants. - Robert I. Damper; Steve R. Gunn; Mathew O. Gore (Appl. Intell., 2000)

Linear spectral mixture models and support vector machines for remote sensing. - Martin Brown 001; Hugh G. Lewis; Steve R. Gunn (IEEE Trans. Geosci. Remote. Sens., 2000)

A Radical Approach to Handwritten Chinese Character Recognition Using Active Handwriting Models. - Daming Shi 001; Steve R. Gunn; Robert I. Damper (CVPR (1), 2001)

Texture analysis with the Volterra model using conjugate gradient optimisation. - Adam I. Wilmer; Tania Stathaki; Steve R. Gunn; Robert I. Damper (ESANN, 2001)

Active Radical Modeling for Handwritten Chinese Characters. - Daming Shi 001; Steve R. Gunn; Robert I. Damper (ICDAR, 2001)

Markov Random Field Models for Segmentation of PET Images. - Jun L. Chen; Steve R. Gunn; Mark S. Nixon; Roger N. Gunn (IPMI, 2001)

On a Class of Support Vector Kernels Based on Frames in Function Hilbert Spaces. - Junbin Gao; Chris J. Harris; Steve R. Gunn (Neural Comput., 2001)

The relevance vector machine technique for channel equalization application. - Sheng Chen 001; Steve R. Gunn; Chris J. Harris (IEEE Trans. Neural Networks, 2001)

Adapting Kernels by Variational Approach in SVM. - Junbin Gao; Steve R. Gunn; Jaz S. Kandola (Australian Joint Conference on Artificial Intelligence, 2002)

A Probabilistic Framework for SVM Regression and Error Bar Estimation. - Junbin Gao; Steve R. Gunn; Chris J. Harris; Martin Brown 001 (Mach. Learn., 2002)

Structural Modelling with Sparse Kernels. - Steve R. Gunn; Jaz S. Kandola (Mach. Learn., 2002)

Handwritten Chinese character recognition using nonlinear active shape models and the Viterbi algorithm. - Daming Shi 001; Steve R. Gunn; Robert I. Damper (Pattern Recognit. Lett., 2002)

Errata to "The relevance vector machine technique for channel equalization application". - Sheng Chen 001; Steve R. Gunn; Chris J. Harris (IEEE Trans. Neural Networks, 2002)

Fusing Complementary Operators to Enhance Foreground/Background Segmentation. - Ahmad Al-Mazeed; Mark S. Nixon; Steve R. Gunn (BMVC, 2003)

Nonlinear Active Handwriting Models and Their Applications to Handwritten Chinese Radical Recognition. - Geok See Ng; Daming Shi 001; Steve R. Gunn; Robert I. Damper (ICDAR, 2003)

Mean field method for the support vector machine regression. - Junbin Gao; Steve R. Gunn; Chris J. Harris (Neurocomputing, 2003)

SVM regression through variational methods and its sequential implementation. - Junbin Gao; Steve R. Gunn; Chris J. Harris (Neurocomputing, 2003)

An Approach to Off-Line Handwritten Chinese Character Recognition Based on Hierarchical Radical Decomposition. - Daming Shi 001; Robert I. Damper; Steve R. Gunn (J. Quant. Linguistics, 2003)

Handwritten Chinese Radical Recognition Using Nonlinear Active Shape Models. - Daming Shi 001; Steve R. Gunn; Robert I. Damper (IEEE Trans. Pattern Anal. Mach. Intell., 2003)

Offline handwritten Chinese character recognition by radical decomposition. - Daming Shi 001; Robert I. Damper; Steve R. Gunn (ACM Trans. Asian Lang. Inf. Process., 2003)

Ensemble Algorithms for Feature Selection. - Jeremy Rogers; Steve R. Gunn (Deterministic and Statistical Methods in Machine Learning, 2004)

Classifiers Combination for Improved Motion Segmentation. - Ahmad Al-Mazeed; Mark S. Nixon; Steve R. Gunn (ICIAR (2), 2004)

Result Analysis of the NIPS 2003 Feature Selection Challenge. - Isabelle Guyon; Steve R. Gunn; Asa Ben-Hur; Gideon Dror (NIPS, 2004)

Identifying Feature Relevance Using a Random Forest. - Jeremy Rogers; Steve R. Gunn (SLSFS, 2005)

Design and Analysis of the NIPS2003 Challenge. - Isabelle Guyon; Steve R. Gunn; Asa Ben-Hur; Gideon Dror (Feature Extraction, 2006)

Band Selection for Hyperspectral Image Classification Using Mutual Information. - Baofeng Guo; Steve R. Gunn; Robert I. Damper; James D. B. Nelson (IEEE Geosci. Remote. Sens. Lett., 2006)

Exploiting Uncertain Data in Support Vector Classification. - Jianqiang Yang; Steve R. Gunn (KES (3), 2007)

Signal theory for SVM kernel design with applications to parameter estimation and sequence kernels. - James D. B. Nelson; Robert I. Damper; Steve R. Gunn; Baofeng Guo (Neurocomputing, 2008)

A fast separability-based feature-selection method for high-dimensional remotely sensed image classification. - Baofeng Guo; Robert I. Damper; Steve R. Gunn; James D. B. Nelson (Pattern Recognit., 2008)

Customizing Kernel Functions for SVM-Based Hyperspectral Image Classification. - Baofeng Guo; Steve R. Gunn; Robert I. Damper; James D. B. Nelson (IEEE Trans. Image Process., 2008)

Arcene. - Isabelle Guyon; Steve R. Gunn; Asa Ben-Hur; Gideon Dror (UCI Machine Learning Repository, 2008)

Dorothea. - Isabelle Guyon; Steve R. Gunn; Asa Ben-Hur; Gideon Dror (UCI Machine Learning Repository, 2008)

Gisette. - Isabelle Guyon; Steve R. Gunn; Asa Ben-Hur; Gideon Dror (UCI Machine Learning Repository, 2008)

Dexter. - Isabelle Guyon; Steve R. Gunn; Asa Ben-Hur; Gideon Dror (UCI Machine Learning Repository, 2008)

Hardware efficient fixed-point VLSI architecture for 2D Kurtotic FastICA. - Amit Acharyya; Koushik Maharatna; Jinhong Sun; Bashir M. Al-Hashimi; Steve R. Gunn (ECCTD, 2009)

Learning to rank images from eye movements. - Kitsuchart Pasupa; Craig Saunders; Sándor Szedmák; Arto Klami; Samuel Kaski; Steve R. Gunn (ICCV Workshops, 2009)

A signal theory approach to support vector classification: The sinc kernel. - James D. B. Nelson; Robert I. Damper; Steve R. Gunn; Baofeng Guo (Neural Networks, 2009)

Efficient Sparse Kernel Feature Extraction Based on Partial Least Squares. - Charanpal Dhanjal; Steve R. Gunn; John Shawe-Taylor (IEEE Trans. Pattern Anal. Mach. Intell., 2009)

Memory Reduction Methodology for Distributed-Arithmetic-Based DWT/IDWT Exploiting Data Symmetry. - Amit Acharyya; Koushik Maharatna; Bashir M. Al-Hashimi; Steve R. Gunn (IEEE Trans. Circuits Syst. II Express Briefs, 2009)

An Artificial Experimenter for Enzymatic Response Characterisation. - Chris Lovell; Gareth L. Jones 001; Steve R. Gunn; Klaus-Peter Zauner (Discovery Science, 2010)

Characterising Enzymes for Information Processing: Towards an Artificial Experimenter. - Chris Lovell; Gareth L. Jones 001; Steve R. Gunn; Klaus-Peter Zauner (UC, 2010)

Maximum Margin Learning with Incomplete Data: Learning Networks instead of Tables. - Sándor Szedmák; Yizhao Ni; Steve R. Gunn (WAPA, 2010)

Snake based unsupervised texture segmentation using Gaussian Markov Random Field Models. - Sasan Mahmoodi; Steve R. Gunn (ICIP, 2011)

Scale Space Smoothing, Image Feature Extraction and Bessel Filters. - Sasan Mahmoodi; Steve R. Gunn (SCIA, 2011)

Autonomous Experimentation. - Chris Lovell; Gareth L. Jones 001; Steve R. Gunn; Klaus-Peter Zauner (Active Learning and Experimental Design @ AISTATS, 2011)

Enabling the discovery of computational characteristics of enzyme dynamics. - Gareth L. Jones 001; Chris Lovell; Steve R. Gunn; Hywel Morgan; Klaus-Peter Zauner (IEEE Congress on Evolutionary Computation, 2012)

Towards improved theoretical problems for autonomous discovery. - Chris Lovell; Steve R. Gunn (IJCNN, 2012)

Exploration and Exploitation with Insufficient Resources. - Chris Lovell; Gareth L. Jones 001; Klaus-Peter Zauner; Steve R. Gunn (ICML On-line Trading of Exploration and Exploitation, 2012)

Towards Pareto Descent Directions in Sampling Experts for Multiple Tasks in an On-Line Learning Paradigm. - Shaona Ghosh; Chris Lovell; Steve R. Gunn (AAAI Spring Symposium: Lifelong Machine Learning, 2013)

Coarse-Grained Online Monitoring of BTI Aging by Reusing Power-Gating Infrastructure. - Vasileios Tenentes; Daniele Rossi 001; Sheng Yang 003; S. Saqib Khursheed; Bashir M. Al-Hashimi; Steve R. Gunn (IEEE Trans. Very Large Scale Integr. Syst., 2017)

Sparse Deep Neural Networks for Embedded Intelligence. - Jia Bi; Steve R. Gunn (ICTAI, 2018)

Lightweight PUF-Based Authentication Protocol for IoT Devices. - Yildiran Yilmaz; Steve R. Gunn; Basel Halak (IVSW, 2018)

A Stochastic Gradient Method with Biased Estimation for Faster Nonconvex Optimization. - Jia Bi; Steve R. Gunn (PRICAI (2), 2019)

Product Lifecycle De-trending for Sales Forecasting. - Albert F. H. M. Lechner; Steve R. Gunn (COMPLEXIS, 2020)

Sparse Deep Neural Network Optimization for Embedded Intelligence. - Jia Bi; Steve R. Gunn (Int. J. Artif. Intell. Tools, 2020)

A Variance Controlled Stochastic Method with Biased Estimation for Faster Non-convex Optimization. - Jia Bi; Steve R. Gunn (ECML/PKDD (3), 2021)

Adapting branched networks to realise progressive intelligence. - Jack Dymond; Sebastian Stein 001; Steve R. Gunn (BMVC, 2022)

Exploiting Epistemic Uncertainty at Inference Time for Early-Exit Power Saving. - Jack Dymond; Sebastian Stein 001; Steve R. Gunn (ECAI, 2023)

Strengthened Circle and Popov Criteria for the Stability Analysis of Feedback Systems With ReLU Neural Networks. - Carl R. Richardson; Matthew C. Turner; Steve R. Gunn (IEEE Control. Syst. Lett., 2023)

Errata on "Strengthened Circle and Popov Criteria for the Stability Analysis of Feedback Systems With ReLU Neural Networks". - Carl R. Richardson; Matthew C. Turner; Steve R. Gunn (IEEE Control. Syst. Lett., 2023)

Strengthened stability analysis of discrete-time Lurie systems involving ReLU neural networks. - Carl R. Richardson; Matthew C. Turner; Steve R. Gunn; Ross Drummond (L4DC, 2024)

Lurie Networks with Robust Convergent Dynamics. - Carl R. Richardson; Matthew C. Turner; Steve R. Gunn (Trans. Mach. Learn. Res., 2025)