Systematic Snooker Skills Test to Analyze Player Performance

David H.S. Chung , Iwan W. Griffiths , Phil A. Legg , Matthew L. Parry
International Journal of Sports Science & Coaching 9 ( 5) 1083 -1105

2
2014
From Video to Animated 3D Reconstruction: A Computer Graphics Application for Snooker Skills Training

M. L. Parry , I. W. Griffiths , D. H. S. Chung , P. A. Legg
eurographics 39 -40

2
2011
Hierarchical Event Selection for Video Storyboards with a Case Study on Snooker Video Visualization

M. L. Parry , P. A. Legg , D. H. S. Chung , I. W. Griffiths
IEEE Transactions on Visualization and Computer Graphics 17 ( 12) 1747 -1756

28
2011
MatchPad : Interactive Glyph-Based Visualization for Real-Time Sports Performance Analysis

P. A. Legg , D. H. S. Chung , M. L. Parry , M. W. Jones
Computer Graphics Forum 31 ( 3) 1255 -1264

59
2012
Turn costs change the value of animal search paths

R. P. Wilson , I. W. Griffiths , P. A. Legg , M. I. Friswell
Ecology Letters 16 ( 9) 1145 -1150

83
2013
Feature Neighbourhood Mutual Information for multi-modal image registration: An application to eye fundus imaging

PA Legg , PL Rosin , D Marshall , JE Morgan
Pattern Recognition 48 ( 6) 1937 -2118

48
2015
Non-rigid elastic registration of retinal images using local window mutual information

Philip A Legga , Paul L Rosina , David Marshalla , James E Morganb
Computer (Long. Beach. Calif) 144148

1
2009
2020
Venue2Vec: An Efficient Embedding Model for Fine-Grained User Location Prediction in Geo-Social Networks

Shuai Xu , Jiuxin Cao , Phil Legg , Bo Liu
IEEE Systems Journal 14 ( 2) 1740 -1751

18
2020
Predicting User Confidence During Visual Decision Making

Jim Smith , Phil Legg , Milos Matovic , Kristofer Kinsey
ACM Transactions on Interactive Intelligent Systems (TiiS) 8 ( 2) 10

6
2018
Visual analytics for collaborative human-machine confidence in human-centric active learning tasks

Phil Legg , Jim Smith , Alexander Downing
Human-centric Computing and Information Sciences 9 ( 1) 1 -25

5
2019
Deep Focus: Increasing User Depth of Field to Improve Threat Detection (Oxford Workshop Poster)

William R Claycomb , Roy Maxion , Jason Clark , Bronwyn Woods
Defense Technical Information Center

2014
Automated Registration of Multimodal Optic Disc Images: Clinical Assessment of Alignment Accuracy.

Wai Siene Ng , Phil Legg , Venkat Avadhanam , Kyaw Aye
Journal of Glaucoma 25 ( 4) 397 -402

1
2016
Identifying attack patterns for insider threat detection

Ioannis Agrafiotis , Jason RC Nurse , Oliver Buckley , Phil Legg
Computer Fraud & Security 2015 ( 7) 9 -17

26
2015
Tools and Techniques for Improving Cyber Situational Awareness of Targeted Phishing Attacks

Phil Legg , Tim Blackman
2019 International Conference on Cyber Situational Awareness, Data Analytics And Assessment (Cyber SA) 1 -4

2
2019
Efficient and Interpretable Real-Time Malware Detection Using Random-Forest

Alan Mills , Theodoros Spyridopoulos , Phil Legg
2019 International Conference on Cyber Situational Awareness, Data Analytics And Assessment (Cyber SA) 1 -8

3
2019
What Makes for Effective Visualisation in Cyber Situational Awareness for Non-Expert Users?

Fiona Carroll , Adam Chakof , Phil Legg
2019 International Conference on Cyber Situational Awareness, Data Analytics And Assessment (Cyber SA) 1 -8

1
2019
The Visual Design of Network Data to Enhance Cyber Security Awareness of the Everyday Internet User

Fiona Carroll , Phil Legg , Bastian Bonkel
2020 International Conference on Cyber Situational Awareness, Data Analytics and Assessment (CyberSA) 1 -7

2020
Shouting Through Letterboxes: A study on attack susceptibility of voice assistants

Andrew McCarthy , Benedict R. Gaster , Phil Legg
2020 International Conference on Cyber Security and Protection of Digital Services (Cyber Security) 1 -8

1
2020
“What did you say?”: Extracting unintentional secrets from predictive text learning systems

Gwyn Wilkinson , Phil Legg
2020 International Conference on Cyber Security and Protection of Digital Services (Cyber Security) 1 -8

2020