Making Events Less Slippery with eel. - Ryan Cunningham; Eddie Kohler (HotOS, 2005)

Honeypot-Aware Advanced Botnet Construction and Maintenance. - Cliff Changchun Zou; Ryan Cunningham (DSN, 2006)

Automated Vulnerability Analysis: Leveraging Control Flow for Evolutionary Input Crafting. - Sherri Sparks; Shawn Embleton; Ryan Cunningham; Cliff Changchun Zou (ACSAC, 2007)

Honeypot detection in advanced botnet attacks. - Ping Wang; Lei Wu; Ryan Cunningham; Cliff C. Zou (Int. J. Inf. Comput. Secur., 2010)

Functional Characterization of Transcription Factor Motifs Using Cross-species Comparison across Large Evolutionary Distances. - Jaebum Kim; Ryan Cunningham; Brian James; Stefan Wyder; Joshua D. Gibson; Oliver Niehuis; Evgeny M. Zdobnov; Hugh M. Robertson; Gene E. Robinson; John H. Werren; Saurabh Sinha (PLoS Comput. Biol., 2010)

Object localisation via action recognition. - John Darby; Baihua Li; Ryan Cunningham; Nicholas Costen (ICPR, 2012)

Automated detection of skeletal muscle twitches from B-mode ultrasound images: An application to motor neuron disease. - Peter J. Harding; Emma F. Hodson-Tole; Ryan Cunningham; Ian Loram; Nicholas Costen (ICPR, 2012)

Intermittent control of unstable multivariate systems with uncertain system parameters. - Ian Loram; Ryan Cunningham; Jacopo Zenzeri; Henrik Gollee (EMBC, 2016)

Deep Residual Networks for Quantification of Muscle Fiber Orientation and Curvature from Ultrasound Images. - Ryan Cunningham; Peter J. Harding; Ian Loram (MIUA, 2017)

The application of deep convolutional neural networks to ultrasound for modelling of dynamic states within human skeletal muscle. - Ryan J. Cunningham; Peter J. Harding; Ian D. Loram (CoRR, 2017)

Real-Time Ultrasound Segmentation, Analysis and Visualisation of Deep Cervical Muscle Structure. - Ryan J. Cunningham; Peter J. Harding; Ian D. Loram (IEEE Trans. Medical Imaging, 2017)

Estimating Full Regional Skeletal Muscle Fibre Orientation from B-Mode Ultrasound Images Using Convolutional, Residual, and Deconvolutional Neural Networks. - Ryan Cunningham; María B. Sánchez; Gregory May; Ian Loram (J. Imaging, 2018)

Estimation of Absolute States of Human Skeletal Muscle via Standard B-Mode Ultrasound Imaging and Deep Convolutional Neural Networks. - Ryan J. Cunningham; Ian D. Loram (CoRR, 2019)

Objective Analysis of Neck Muscle Boundaries for Cervical Dystonia Using Ultrasound Imaging and Deep Learning. - Ian Loram; Abdul Siddique; María B. Sánchez; Peter J. Harding; Monty Silverdale; Christopher Kobylecki; Ryan Cunningham (IEEE J. Biomed. Health Informatics, 2020)

Efficient Lightweight 3D-CNN using Frame Skipping and Contrast Enhancement for Facial Macro- and Micro-expression Spotting. - Chuin Hong Yap; Moi Hoon Yap; Adrian K. Davison; Ryan Cunningham (CoRR, 2021)

Synthesising Facial Macro- and Micro-Expressions Using Reference Guided Style Transfer. - Chuin Hong Yap; Ryan Cunningham; Adrian K. Davison; Moi Hoon Yap (J. Imaging, 2021)

3D-CNN for Facial Micro- and Macro-expression Spotting on Long Video Sequences using Temporal Oriented Reference Frame. - Chuin Hong Yap; Moi Hoon Yap; Adrian K. Davison; Connah Kendrick; Jingting Li 001; Su-Jing Wang; Ryan Cunningham (ACM Multimedia, 2022)