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This list is automatically generated from the Aberystwyth university repository - follow the link below each paper for full text or DOI access.


Roscoe, Dee, Zwiggelaar, Coping with Noise in Ultrasound Images: A review, MIUA 2012

Ngoc-Son Vu, Hannah M. Dee and Alice Caplier "Face Recognition using the POEM descriptor", Pattern Recognition


Hannah M. Dee, Cohn, A. G. and Hogg, D. C. "Building semantic scene models from unconstrained video" Volume 116, Issue 3, March 2012, Pages 446.456

Paul Robson, Michal Mos, Hannah Dee, John Clifton-Brown and Iain Donnison (2011). Improving bioenergy crop yield and quality through manipulating senescence. In: Biomass and Bioenergy Crops IV. Aspects of Applied Biology 112, pp. 323-328.

Hannah M. Dee & Paulo E. Santos (2011): The Perception and Content of Cast Shadows: An Interdisciplinary Review, Spatial Cognition & Computation, 11:3, 226-25.


Dee, H. M. and Caplier, A. "Crowd behaviour analysis using histograms of motion direction", IEEE International Conference on Image Processing (ICIP), 2010, Hong Kong.

Santos, P. E., Dee, H. M. and Fenelon, V. "Knowledge-based adaptative thresholding from shadows" Accepted at the European Conference on Artificial Intelligence (ECAI), 2010, Lisbon, Portugal.

P.E. Santos, V. Fenelon and H. M. Dee "Knowledge-based Adaptive Thresholding from Qualitative Robot Localisation using Cast Shadows", Proceedings of the Spatio-Temporal Dynamics workshop (STeDy), ECAI 2010

Dee, H. M., and Boyle, R. D. "Inspiring women undergraduates", ACM SIGCSE International Conference on innovation and technology in Computer Science Education (ITiCSE), 2010, Ankara, Turkey.


Dee, H. M.; Hogg, D. C. Navigational strategies in behaviour modelling Artificial Intelligence Volume 173 (2) pages 329-342, February 2009

Santos, P. E., Dee, H. M and Fenelon, V. Qualitative robot localisation using information from cast shadows, IEEE International Conference on Robotics and Automation, pp. 220-225, Kobe, Japan, 2009.

Dee, H. M., Hogg, D. C., and Cohn, A. G. Scene Modelling and Classification Using Learned Spatial Relations Springer LNCS (Conference on Spatial Information Theory (COSIT)) pp 295-311, l'Aber Wrac'h, France, September 2009.

Dee, H. M., Petrie, K. E., Boyle, R. D. and Pau, R. Why are we still here?: Experiences of successful women in computing. ACM SIGCSE conference on Innovation and technology in computer science education (ITiCSE), pp. 233-237, Paris, France, 2009.


Dee, H. M.; Velastin, S. A. How close are we to solving the problem of automated visual surveillance? A review of real-world surveillance, scientific progress and evaluative mechanisms Machine Vision and Applications, volume 19(5-6) pages 329-343, Springer, October 2008.

Ross, M., Boldyreff, C., Dee, H., Komisarczuk, J., Massey, B., Paterson, F., and Petrie, K. Using Computer based Systems to Address the Gender Imbalance in Computing. International Conference of Women Engineers and Scientists (ICWES). Lille, France, July 2008. (poster)

Santos, P. E., Dee, H. M and Fenelon, V. Notes on a qualitative theory of shadows. Cognitive Robotics workshop at ECAI 2008, pp. 47-54, University of Patras, Patras, Greece, 2008

Dee, H. M.; Fraile, R; Hogg, D. C. and Cohn, A. G. Modelling scenes using the activity within them, Springer Lecture notes in Artificial Intelligence (Spatial Cognition VI) pp 394-408, Freiburg, Germany 2008


Dee, H. M.; Hogg, D. C. Navigational strategies and surveillance in: Proceedings of the IEEE International Workshop on Visual Surveillance (ECCV-VS), pp. 73-81 IEEE Computer Society Press, Graz, Austria, 2006.

Waterhouse, M., Dee, H. M., Dixon, M. F., Griffin, N. R., and Quirke, P. Supporting undergraduate teaching in histopathology with virtual microscopy. Pathological Society winter meeting, Cambridge, UK, 2006.


Dee, H. M.; Hogg, D. C. On the feasibility of using a cognitive model to filter surveillance data in: Advanced Video and Signal based Surveillance pp. 34-39 Como, Italy, 2005.

Waterhouse, M., Dee, H. M., Treanor, D., Griffin, N., Dixon, M., and Quirke, P. An e-learning sytem using virtual slides, Joint Meeting of the British Division of the IAP and the Pathological Society of Great Britain and Ireland, Newcastle, UK, 2005.

Dee, H. M., Treanor, D., Lewis, F., Casali, G., Edward, S., Dixon, M., and Quirke, P. A searchable online database of virtual slides. Joint Meeting of the British Division of the IAP and the Pathological Society of Great Britain and Ireland, Newcastle, UK, 2005.


Dee, H. M; Hogg, D. C. Detecting inexplicable behaviour in: British Machine Vision Conference 2004, pp. 477-486 BMVA. Kingston, UK, 2004.

Dee, H. M.; Hogg, D. C. Is it Interesting?: Comparing human and machine judgements on the PETS dataset in: Proceedings of the Performance Evaluation of Tracking And Surveillance workshop (PETS2004) at the European Conference on Computer Vision, pp 49-55, Prague, Czech Repubic, 2004.


Tebb, Chris; Dee, Hannah M. The bigger the better? A new look at virtual learning environments in: Proceedings of the 4th International Conference on Information Technology Based Higher Education and Training (ITHET03), pp. 462-466. 2003.


Dee, Hannah; Reffell, Pete. ACOM ('Computing for all') : an integrated approach to the teaching and learning of information technology in: Proceedings of the 4th Annual SIGCSE/SIGCUE Conference on Innovation and Technology in Computer Science Education (ITiCSE'99), pp. 195-195 ACM Press. 1999. (poster)