2008 |
35 | EE | Roger D. Boyle:
Neither rocket science nor washing machine science, but computer science.
ITiCSE 2008: 5-6 |
2007 |
34 | EE | Olga Kubassova,
Mikael Boesen,
Roger D. Boyle,
Marco A. Cimmino,
Karl E. Jensen,
Henning Bliddal,
Alexandra Radjenovic:
Fast and Robust Analysis of Dynamic Contrast Enhanced MRI Datasets.
MICCAI (2) 2007: 261-269 |
33 | EE | Essam M. Kosba,
Vania Dimitrova,
Roger D. Boyle:
Adaptive feedback generation to support teachers in web-based distance education.
User Model. User-Adapt. Interact. 17(4): 379-413 (2007) |
2006 |
32 | EE | Martyn Clark,
Roger D. Boyle:
Computer Science in English High Schools: We Lost the S, Now the C Is Going.
ISSEP 2006: 83-93 |
31 | EE | Roger D. Boyle,
Joanna Briggs:
What don't you know?
ITiCSE 2006: 343 |
2005 |
30 | | Essam M. Kosba,
Vania Dimitrova,
Roger D. Boyle:
The Evaluation of an Intelligent Teacher Advisor for Web Distance Environments.
AIED 2005: 370-377 |
29 | EE | Olga Kubassova,
Roger D. Boyle,
Mike Pyatnizkiy:
Bone Segmentation in Metacarpophalangeal MR Data.
ICAPR (2) 2005: 726-735 |
28 | EE | Martyn Clark,
Roger D. Boyle:
The Transition from School to University: Would Prior Study of Computing Help?
ISSEP 2005: 37-45 |
27 | EE | Essam M. Kosba,
Vania Dimitrova,
Roger D. Boyle:
Using Student and Group Models to Support Teachers in Web-Based Distance Education.
User Modeling 2005: 124-133 |
26 | EE | Andrew D. McGettrick,
Roger D. Boyle,
Roland N. Ibbett,
John Lloyd,
Gillian Lovegrove,
Keith Mander:
Grand Challenges in Computing: Education - A Summary.
Comput. J. 48(1): 42-48 (2005) |
2004 |
25 | | Roger D. Boyle,
Martyn Clark,
Amruth Kumar:
Proceedings of the 9th Annual SIGCSE Conference on Innovation and Technology in Computer Science Education, ITiCSE 2004, Leeds, UK, June 28-30, 2004
ACM 2004 |
24 | EE | Chris J. Needham,
Roger D. Boyle:
Multi-Resolution Template Kernels.
ICPR (2) 2004: 233-236 |
23 | EE | Liz Minton,
Roger D. Boyle,
Vania Dimitrova:
If diversity is a problem could e-learning be part of the solution?: a case study.
ITiCSE 2004: 42-46 |
22 | EE | Nathan Rountree,
Tamar Vilner,
Brenda Cantwell Wilson,
Roger D. Boyle:
Predictors For success in studying CS.
SIGCSE 2004: 145-146 |
21 | EE | Roger D. Boyle,
Martyn Clark:
CS++: content is not enough.
SIGCSE 2004: 422-426 |
20 | EE | Essam M. Kosba,
Vania Dimitrova,
Roger D. Boyle:
Using fuzzy techniques to model students in web-based learning environments.
International Journal on Artificial Intelligence Tools 13(2): 279-297 (2004) |
2003 |
19 | | Vassilios Dagdilelis,
Maya Satratzemi,
David Finkel,
Roger D. Boyle,
Georgios Evangelidis:
Proceedings of the 8th Annual SIGCSE Conference on Innovation and Technology in Computer Science Education, ITiCSE 2003, Thessaloniki, Greece, June 30 - July 2, 2003
ACM 2003 |
18 | EE | Chris J. Needham,
Roger D. Boyle:
Performance Evaluation Metrics and Statistics for Positional Tracker Evaluation.
ICVS 2003: 278-289 |
17 | EE | Essam M. Kosba,
Vania Dimitrova,
Roger D. Boyle:
Using Fuzzy Techniques to Model Students in Web-Based Learning Environments.
KES 2003: 222-229 |
16 | EE | Sylvia Alexander,
Martyn Clark,
Ken Loose,
June Amillo,
Mats Daniels,
Roger D. Boyle,
Cary Laxer,
Dermot Shinners-Kennedy:
Case studies in admissions to and early performance in computer science degrees.
SIGCSE Bulletin 35(4): 137-147 (2003) |
2002 |
15 | EE | Derek R. Magee,
Roger D. Boyle:
Detecting lameness using 'Re-sampling Condensation' and 'multi-stream cyclic hidden Markov models'.
Image Vision Comput. 20(8): 581-594 (2002) |
2001 |
14 | EE | Chris J. Needham,
Roger D. Boyle:
Tracking multiple sports players through occlusion, congestion and scale.
BMVC 2001 |
2000 |
13 | | Derek R. Magee,
Roger D. Boyle:
Spatio-Temporal Modeling in the Farmyard Domain.
AMDO 2000: 83-95 |
12 | EE | Derek R. Magee,
Roger D. Boyle:
Detecting Lameness in Livestock using Resampling Condensation and Multi-stream Cyclic Hidden Markov Models.
BMVC 2000 |
1999 |
11 | EE | Derek R. Magee,
Roger D. Boyle:
Building Class Sensitive Models for Tracking Applications.
BMVC 1999 |
1998 |
10 | EE | Derek R. Magee,
Roger D. Boyle:
Building Shape Models from Image Sequences using Piecewise Linear Approximation.
BMVC 1998 |
9 | EE | Neil Sumpter,
Andrew J. Bulpitt,
Richard T. Vaughan,
Robin D. Tillett,
Roger D. Boyle:
Learning Models of Animal Behaviour for a Robotic Sheepdog.
MVA 1998: 577-580 |
8 | EE | Roger D. Boyle:
Scaling additional contributions to principal components analysis.
Pattern Recognition 31(12): 2047-2053 (1998) |
1997 |
7 | EE | Naomi Hill,
Roger D. Boyle,
Elizabeth Berry:
A Deformable Model using Probabalistic Labelling and Surface Relaxation to Segment MR Volumes.
BMVC 1997 |
6 | EE | Neil Sumpter,
Roger D. Boyle,
Robin D. Tillett:
Modelling Collective Animal Behaviour using Extended Point Distribution Models.
BMVC 1997 |
1996 |
5 | EE | Kim C. Ng,
Roger D. Boyle:
Recognition and reconstruction of primitives in music scores.
Image Vision Comput. 14(1): 39-46 (1996) |
1995 |
4 | EE | N. B. Venkateswarlu,
Roger D. Boyle:
New segmentation techniques for document image analysis.
Image Vision Comput. 13(7): 573-583 (1995) |
1994 |
3 | EE | N. B. Venkateswarlu,
S. Balaji,
P. S. V. S. K. Raju,
Roger D. Boyle:
Some further results of three stage ML classification applied to remotely sensed images.
Pattern Recognition 27(10): 1379-1396 (1994) |
1991 |
2 | EE | Qiwen Zhang,
Qen Ring Wang,
Roger D. Boyle:
A clustering algorithm for data-sets with a large number of classes.
Pattern Recognition 24(4): 331-340 (1991) |
1 | EE | Qiwen Zhang,
Roger D. Boyle:
A new clustering algorithm with multiple runs of iterative procedures.
Pattern Recognition 24(9): 835-848 (1991) |