Issues in the development of a requirements traceability model. - Balasubramaniam Ramesh; Michael Edwards (RE, 1993)

A requirements taxonomy for specifying complex systems. - Stephanie M. White; Michael Edwards (ICECCS, 1995)

Implementing requirements traceability: a case study. - Balasubramaniam Ramesh; Timothy Powers; Curtis Stubbs; Michael Edwards (RE, 1995)

Domain Engineering: The Challenge, Status, and Trends. - Stephanie M. White; Michael Edwards (ECBS, 1996)

Requirements Traceability: Theory and Practice. - Balasubramaniam Ramesh; Curtis Stubbs; Timothy Powers; Michael Edwards (Ann. Softw. Eng., 1997)

Decision Support Systems for Improving the Analytic Capacity of Decentralized Routine Health Information Systems in Developing Countries. - Michael Edwards; Theo Lippeveld (HICSS, 2004)

No Coreset, No Cry: II. - Michael Edwards; Kasturi R. Varadarajan (FSTTCS, 2005)

MAMA: An Architecture for Interactive Musical Agents. - David Murray-Rust; Alan Smaill; Michael Edwards (ECAI, 2006)

On-belt analysis of minerals using naturally occurring gamma radiation. - William Moran 001; Du Q. Huynh; Michael Edwards; Andrew Harris; Xuezhi Wang 001; Barbara F. La Scala (ICASSP, 2008)

DATAPLAY: Mapping Game Mechanics to Traditional Data Visualization. - Colleen Macklin; Julia Wargaski; Michael Edwards; Kan Yang Li (DiGRA Conference, 2009)

User interface evaluation of a multimedia CD-ROM for teaching minor skin surgery. - Jamil Shaikh Ahmed; Jane Coughlan; Michael Edwards; Sonali Morar (Behav. Inf. Technol., 2009)

An EM approach to mineral analysis using natural gamma rays. - William Moran 001; Du Q. Huynh; Xuezhi Wang 001; Michael Edwards; Andrew Harris; Barbara F. La Scala (Digit. Signal Process., 2009)

Algorithmic composition: computational thinking in music. - Michael Edwards (Commun. ACM, 2011)

An Introduction to slippery chicken. - Michael Edwards (ICMC, 2012)

Footstep pressure signal analysis for human identification. - Michael Edwards; Xianghua Xie (BMEI, 2014)

Managing knowledge transfer partnership for a rural community: The outcomes at Wirksworth, UK. - Peter Wiltshier; Michael Edwards (Kybernetes, 2014)

Can Scholarly Literature and Patents be Represented in a Hierarchy of Topics Structured to Contain 20 Topics per Level? Balancing Technical Feasibility with Human Usability. - Michael Edwards; Mahadev Dovre Wudali; James Callahan; Paul Worner; Jeffrey Maudal; Patricia Brennan; Julia Laurin; Joshua Schnell (ISSI, 2015)

Validation of network simulation model with emulation using example malware. - Scott E. Brown; Brian Henz; Harold Brown; Michael Edwards; Michael Russell; Jonathan Mercurio (MILCOM, 2015)

The shear strength of nano-Ag sintered joints and the use of Ag interconnects in the design and manufacture of SiGe-based thermo-electric modules. - Michael Edwards; Klas Brinkfeldt; Ulrich Rusche; Tobias Bukes; Gerd Gaiser; Melina Da Silva; Dag Andersson (Microelectron. Reliab., 2015)

Combining Stacked Denoising Autoencoders and Random Forests for Face Detection. - Jingjing Deng 001; Xianghua Xie; Michael Edwards (ACIVS, 2016)

Graph Convolutional Neural Network. - Michael Edwards; Xianghua Xie (BMVC, 2016)

Validation of network simulation model and scalability tests using example malware. - Scott E. Brown; Harold Brown; Michael Russell; Brian Henz; Michael Edwards; Frank Turner; Giorgio Bertoli (MILCOM, 2016)

Graph Based Convolutional Neural Network. - Michael Edwards; Xianghua Xie (CoRR, 2016)

From pose to activity: Surveying datasets and introducing CONVERSE. - Michael Edwards; Jingjing Deng 001; Xianghua Xie (Comput. Vis. Image Underst., 2016)

Labeling subtle conversational interactions within the CONVERSE dataset. - Michael Edwards; Jingjing Deng 001; Xianghua Xie (PerCom Workshops, 2017)

Local Representation Learning with A Convolutional Autoencoder. - Michael P. Kenning; Xianghua Xie; Michael Edwards; Jingjing Deng 001 (ICIP, 2018)

Graph convolutional neural network for multi-scale feature learning. - Michael Edwards; Xianghua Xie; Robert Ieuan Palmer; Gary K. L. Tam; Rob Alcock; Carl Roobottom (Comput. Vis. Image Underst., 2020)

Graph Convolution Networks for Cell Segmentation. - Sachin Bahade; Michael Edwards; Xianghua Xie (ICPRAM, 2021)

Locating Datacenter Link Faults with a Directed Graph Convolutional Neural Network. - Michael P. Kenning; Jingjing Deng 001; Michael Edwards; Xianghua Xie (ICPRAM, 2021)

Deep Visual Place Recognition for Waterborne Domains. - Luke Thomas; Michael Edwards; Austin Capsey; Alma A. M. Rahat; Matt J. Roach (ICIP, 2022)

A directed graph convolutional neural network for edge-structured signals in link-fault detection. - Michael P. Kenning; Jingjing Deng 001; Michael Edwards; Xianghua Xie (Pattern Recognit. Lett., 2022)

Improving Railway Safety: Human-in-the-loop Invariant Finding. - Ben Lloyd-Roberts; Phillip James; Michael Edwards; Simon Robinson 001; Thomas Werner (CHI Extended Abstracts, 2023)

Active Anchors. - Connor Clarkson; Michael Edwards; Xianghua Xie (EICS (Companion), 2023)

Noise Robustness of Data-Driven Star Classification. - Floyd Hepburn-Dickins; Michael Edwards (ICPRAM, 2023)

Graph Proposal Neural Networks for Cell Detection Immunostained Hodgkin Lymphoma Histology Images. - Sachin Bahade; Michael Edwards; Xianghua Xie (ISBI, 2023)

Effective Candidate Invariant Generation Using GPGPUs and Optimisations. - Ben Lloyd-Roberts; Filippos Pantekis; Phillip James; Liam O'Reilly; Michael Edwards (CANDAR, 2024)

Multi-scale WSI Analysis: A Cascade Framework for Efficient Breast Cancer Metastasis Detection. - Connor Atkins; Gary K. L. Tam; Michael Edwards; Muhammad Aslam; Jiaxiang Zhang (MIUA (2), 2025)