Automatically building 2D statistical shapes using the topology preservation model GNG

Garcia Rodriguez, J., Angelopoulou, A., Psarrou, A. and Revett, K. 2006. Automatically building 2D statistical shapes using the topology preservation model GNG. in: Narayanan, P.J., Nayar, S.K. and Shum, H.Y. (ed.) Computer Vision ACCV 2006: 7th Asian Conference on Computer Vision, Hyderabad, India, January 13-16, 2006: Proceedings, Part I Springer.

Chapter titleAutomatically building 2D statistical shapes using the topology preservation model GNG
AuthorsGarcia Rodriguez, J., Angelopoulou, A., Psarrou, A. and Revett, K.
EditorsNarayanan, P.J., Nayar, S.K. and Shum, H.Y.
Abstract

Image segmentation is very important in computer based image interpretation and it involves the labeling of the image so that the labels correspond to real world objects. In this study, we utilise a novel approach to automatically segment out the ventricular system from a series of MR brain images and to recover the shape of hand outlines from a series of 2D training images. Automated landmark extraction is accomplished through the use of the self-organising model the growing neural gas (GNG) network which is able to learn and preserve the topological relations of a given set of input patterns without requiring a priori knowledge of the structure of the input space. The GNG based method is compared to other self-organising networks such as Kohonen and Neural Gas (NG) maps and results are given showing that the proposed method preserves accurate models.

Book titleComputer Vision ACCV 2006: 7th Asian Conference on Computer Vision, Hyderabad, India, January 13-16, 2006: Proceedings, Part I
Year2006
PublisherSpringer
Publication dates
Published2006
SeriesLecture notes in computer science
ISBN3540312196
Digital Object Identifier (DOI)https://doi.org/10.1007/11612032_53
Journal citation(3851), pp. 519-528

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Revett, K. 2009. A bioinformatics based approach to user authentication via keystroke dynamics. International Journal of Control, Automation and Systems. 7 (1), pp. 7-15. https://doi.org/10.1007/s12555-009-0102-2

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Tenreiro de Magalhaes, S., Santos, L.D., Revett, K. and Santos, H.M.D. 2009. Keystroke dynamic and graphical authentication systems. in: Khosrow-Pour, M. (ed.) Encyclopedia of information science and technology. 2nd edition Hershey, Pa. ; London Information Science.

Using technology to overcome the password's contradiction
Tenreiro de Magalhaes, S., Revett, K., Santos, H.M.D., Santos, L.D., Oliveira, A. and Ariza, C. 2009. Using technology to overcome the password's contradiction. in: Gupta, M. and Sharman, R. (ed.) Handbook of research on social and organizational liabilities in information security Hershey, Pa. ; London Information Science Reference.

Usage of artificial intelligent technology in healthy food planning for people with disabilities
Sicurello, F., Salem, A.B.M., De Luca, A.R., Stenta, U., Amon, T. and Revett, K. 2009. Usage of artificial intelligent technology in healthy food planning for people with disabilities. EMMIT 2009: Euro-Mediterranean Medical Informatics and Telemedicine, 5th International Conference. Beirut, Lebanon 16 - 18 Oct 2009

Machine learning techniques in electrocardiogram diagnosis
Salem, A.B.M., Revett, K. and El-Dahshan, E.S. 2009. Machine learning techniques in electrocardiogram diagnosis. Fourth International Conference on Intelligent Computing and Information Systems (ICICIS 2009). Cairo, Egypt 18 - 22 Mar 2009 pp. 260-264

A rule-based approach to processing SPECT imaging for the diagnosis of heart disease
Revett, K., Salem, A.B.M. and Gorunescu, F. 2009. A rule-based approach to processing SPECT imaging for the diagnosis of heart disease. EMMIT 2009: Euro-Mediterranean Medical Informatics and Telemedicine, 5th International Conference. Beirut, Lebanon 16 - 18 Oct 2009

Evaluation of the feature space of an erythematosquamous dataset using rough sets
Revett, K., Gorunescu, F., Salem, A.B.M. and El-Dahshan, E.S. 2009. Evaluation of the feature space of an erythematosquamous dataset using rough sets. Annals of the University of Craiova - Mathematics and Computer Science Series. 36 (2), pp. 123-130.

Feature selection in Parkinson's disease: a rough sets approach
Revett, K., Gorunescu, F. and Salem, A.B.M. 2009. Feature selection in Parkinson's disease: a rough sets approach. in: Proceedings of the International Multiconference on Computer Science and Information Technology 12 - 14 Oct 2009, Mragowo, Poland IMCSIT.

A machine learning approach to artefact extraction from independent components derived from EEG datasets
Revett, K., Gorunescu, F., El-Dahshan, E.S. and Salem, A.B.M. 2009. A machine learning approach to artefact extraction from independent components derived from EEG datasets. Fourth International Conference on Intelligent Computing and Information Systems (ICICIS 2009). Cairo, Egypt 18 - 22 Mar 2009 pp. 184-189

Machine learning in electrocardiogram diagnosis
Revett, K., Gorunescu, F., El-Dahshan, E.S. and Salem, A.B.M. 2009. Machine learning in electrocardiogram diagnosis. in: Proceedings of the International Multiconference on Computer Science and Information Technology 12 - 14 Oct 2009, Mragowo, Poland IMCSIT.

Current trends in behavioral biometrics, keynote speech
Revett, K. 2009. Current trends in behavioral biometrics, keynote speech. Fourth International Conference on Intelligent Computing and Information Systems (ICICIS 2009). Cairo, Egypt 18 - 22 Mar 2009 pp. 42-48

Behavioral biometrics: a biosignal based approach
Revett, K. 2009. Behavioral biometrics: a biosignal based approach. in: Wang, L. and Geng, X. (ed.) Behavioral biometrics for human identification: intelligent applications Hershey, PA Medical Information Science Reference. pp. 101-120

Unsupervised ink type recognition in ancient manuscripts
Psarrou, A., Licata, A. and Kokla, V. 2009. Unsupervised ink type recognition in ancient manuscripts. in: IEEE 12th International Conference on Computer Vision Workshop: on e-heritage and digital art preservation IEEE . pp. 955-961

An ink texture descriptor for nir-imaged medieval documents
Licata, A., Psarrou, A. and Kokla, V. 2009. An ink texture descriptor for nir-imaged medieval documents. in: Proceedings of the 16th IEEE International Conference on Image Processing: ICIP 2009, November 2009, Cairo IEEE . pp. 1997-2000

Revealing the visually unknown in ancient manuscripts with a similarity measure for IR-imaged inks
Licata, A., Psarrou, A. and Kokla, V. 2009. Revealing the visually unknown in ancient manuscripts with a similarity measure for IR-imaged inks. in: Proceedings of the 10th International Conference on Document Analysis and Recognition: ICDAR 2009. 26 - 29 July 2009, Barcelona, Catalonia, Spain IEEE . pp. 818-822

Watercolour identification based on machine vision analysis
Kokla, V., Psarrou, A. and Konstantinou, V. 2009. Watercolour identification based on machine vision analysis. in: Proceedings of New Media Art Conference 2008, 7-9 Nov. 2008, Shanghai, China Shanghai, P.R. China Tongji University Press. pp. 133-143

Trends on interactive platforms for social media through Web2.0
Jin, L., Psarrou, A., Cao, S. and Chen, Y. 2009. Trends on interactive platforms for social media through Web2.0. in: International Conference on Management and Service Science. MASS '09. 20-22 Sept. 2009 IEEE .

Generic colour image segmentation via multi-stage region merging
Gupta, G., Psarrou, A. and Angelopoulou, A. 2009. Generic colour image segmentation via multi-stage region merging. in: Proceedings of the 10th Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS '09) IEEE . pp. 185-188

A survey of user authentication based on mouse dynamics
Revett, K., Jahankhani, H., Tenreiro de Magalhaes, S. and Santos, H.M.D. 2008. A survey of user authentication based on mouse dynamics. in: Jahankhani, H., Revett, K. and Palmer-Brown, D. (ed.) Global e-security: 4th International Conference, ICGeS 2008, London, UK, June 23-25, 2008. Proceedings Berlin / Heidelberg Springer.

User dynamics in graphical authentication systems
Revett, K., Jahankhani, H., Tenreiro de Magalhaes, S. and Santos, H.M.D. 2008. User dynamics in graphical authentication systems. in: Jahankhani, H., Revett, K. and Palmer-Brown, D. (ed.) Global e-security: 4th International Conference, ICGeS 2008, London, UK, June 23-25, 2008. Proceedings Berlin / Heidelberg Springer.

An automated predictor of hydrogen gas production from a sucrose based bioreactor system
Revett, K., Gorunescu, F., Gorunescu, M., Nikhil and Ozkaya, B. 2008. An automated predictor of hydrogen gas production from a sucrose based bioreactor system. in: Proceedings of the 8th International Conference on Artificial Intelligence and Digital Communications - AIDC’08 Craiova Universitaria Publishing House. pp. 161-170

A machine learning investigation of a beta-carotenoid dataset
Revett, K. 2008. A machine learning investigation of a beta-carotenoid dataset. in: Bello, R., Falcón, R., Pedrycz, W. and Kacprzyk, J. (ed.) Granular computing: at the junction of rough sets and fuzzy sets Berlin / Heidelberg Springer.

Diagnostic feature analysis of a dobutamine stress echocardiography dataset using rough sets
Revett, K. 2008. Diagnostic feature analysis of a dobutamine stress echocardiography dataset using rough sets. in: Transactions on rough sets IX Berlin, Heidelberg Springer.

Behavioral biometrics: a remote access approach
Revett, K. 2008. Behavioral biometrics: a remote access approach. Chichester Wiley.

Unsupervised classification for ancient manuscript analysis
Lu, K., Psarrou, A., Licata, A., Konstantinou, V. and Kokla, V. 2008. Unsupervised classification for ancient manuscript analysis. in: Proceedings of the International MultiConference of Engineers and Computer Scientists (IMECS'08), 19-20th March 2008, Hong-Kong International Association of Engineers. pp. 348-353

A rule based approach to classification of EEG datasets: a comparison between ANFIS and rough sets
Jahankhani, P., Revett, K. and Kodogiannis, V. 2008. A rule based approach to classification of EEG datasets: a comparison between ANFIS and rough sets. in: Reljin, B. and Stankovic, S. (ed.) Proceedings of the Ninth Symposium on Neural Network Applications in Electrical Engineering: NEUREL 2008, September 27-28, 2008, Faculty of Electrical Engineering, University of Belgrade Los Alamitos, USA IEEE . pp. 157-160

Classification using adaptive fuzzy inference neural networks
Jahankhani, P., Kodogiannis, V., Revett, K. and Lygouras, J.N. 2008. Classification using adaptive fuzzy inference neural networks. in: Proceedings of the Twelfth IASTED International Conference on Artificial Intelligence and Soft Computing, September 1-3 2008, Palma de Mallorca, Spain Acta Press. pp. 1-6

Active-GNG: model acquisition and tracking in cluttered backgrounds
Angelopoulou, A., Psarrou, A., Garcia Rodriguez, J. and Gupta, G. 2008. Active-GNG: model acquisition and tracking in cluttered backgrounds. in: VNBA '08: Proceeding of the 1st ACM workshop on vision networks for behavior analysis ACM. pp. 17-22

Computational models for pigment analysis
Kokla, V., Psarrou, A. and Konstantinou, V. 2008. Computational models for pigment analysis. Applied Physics A: Materials Science & Processing. 90 (1), pp. 15-22. https://doi.org/10.1007/s00339-007-4236-x

A machine learning approach to keystroke dynamics based user authentication
Revett, K., Gorunescu, F., Gorunescu, M., Ene, M., Tenreiro de Magalhaes, S. and Dinis Santos, H.M. 2007. A machine learning approach to keystroke dynamics based user authentication. International Journal of Electronic Security and Digital Forensics. 1 (1), pp. 55-70. https://doi.org/10.1504/IJESDF.2007.013592

Information technologies for the information agent
Tenreiro de Magalhaes, S., Santos, H.M.D., Santos, L.D., Revett, K. and Nunes, P.V. 2007. Information technologies for the information agent. in: Remenyi, D. (ed.) Proceedings of the 6th European Conference on Information Warfare and Security, Defence College of Management and Technology, Shrivenham, UK, 2-3 July 2007 Reading Academic Conferences. pp. 273-280

Examination of the parameter space of a computational model of acute ischaemic stroke using rough sets
Revett, K. 2007. Examination of the parameter space of a computational model of acute ischaemic stroke using rough sets. in: Rough Sets and Knowledge Technology: second international conference, RSKT 2007 Toronto, Canada, May 2007 proceedings Berlin, Germany Springer.

Ink discrimination based on co-occurrence analysis of visible and infrared images
Kokla, V., Psarrou, A. and Konstantinou, V. 2007. Ink discrimination based on co-occurrence analysis of visible and infrared images. in: Proceedings of the Ninth International Conference on Document Analysis and Recognition, 23-26 Sept. 2007 (ICDAR 2007) Los Alamitos, USA IEEE .

A Bayesian decision model for watercolour analysis
Kokla, V., Psarrou, A. and Konstantinou, V. 2007. A Bayesian decision model for watercolour analysis. in: Fotakis, C., Pezzati, L. and Salimbeni, R. (ed.) O3A: optics for arts, architecture, and archaeology: 20-22 June 2007, Munich, Germany Bellingham, Wash. SPIE.

Data mining an EEG dataset with an emphasis on dimensionality reduction
Jahankhani, P., Revett, K. and Kodogiannis, V. 2007. Data mining an EEG dataset with an emphasis on dimensionality reduction. in: IEEE Symposium on Computational Intelligence and Data Mining (CIDM), 01-05 Apr 2007, Honolulu, Hawaii, USA Los Alamitos, USA IEEE . pp. 405-412

Digital anti forensics: tools and approaches
Jahankhani, H., Anastasios, B. and Revett, K. 2007. Digital anti forensics: tools and approaches. in: Remenyi, D. (ed.) Proceedings of the 6th European Conference on Information Warfare and Security, Defence College of Management and Technology, Shrivenham, UK, 2-3 July 2007 Reading Academic Conferences. pp. 115-120

Robust modelling and tracking of NonRigid objects using Active-GNG
Angelopoulou, A., Psarrou, A., Gupta, G. and Garcia Rodriguez, J. 2007. Robust modelling and tracking of NonRigid objects using Active-GNG. in: IEEE Workshop on Non-rigid Registration and Tracking through Learning, NRTL 2007, in conjunction with ICCV 2007, 14-21 October 2007, Rio de Janeiro Los Alamitos, USA IEEE . pp. 1-7

Nonparametric modelling and tracking with Active-GNG
Angelopoulou, A., Psarrou, A., Gupta, G. and Garcia Rodriguez, J. 2007. Nonparametric modelling and tracking with Active-GNG. in: Lew, M., Sebe, N., Huang, T.S. and Bakker, E.M. (ed.) Human-Computer Interaction: IEEE international workshop, HCI 2007, Rio de Janeiro, Brazil, October 20, 2007; proceedings Berlin Springer.

Keystroke dynamics - stepping forward in authentication
Tenreiro de Magalhaes, S., Revett, K. and Santos, H.M.D. 2006. Keystroke dynamics - stepping forward in authentication. GESTS International Transactions on Computer Science and Engineering. 29 (1), pp. 113-119.

Critical aspects in authentication graphic keys
Tenreiro de Magalhaes, S., Santos, H.M.D. and Revett, K. 2006. Critical aspects in authentication graphic keys. in: Proceedings of the 1st International Conference on Information Warfare and Security - 2006 Kidmore End, England Academic Conferences and Publishing International. pp. 212-217

Generation of authentication strings from graphic keys
Tenreiro de Magalhaes, S., Revett, K. and Santos, H.M.D. 2006. Generation of authentication strings from graphic keys. International Journal of Computer Science and Network Security. 63, p. 38.

Enhancing login security through the use of keystroke input dynamics
Revett, K., Tenreiro de Magalhaes, S. and Santos, H.M.D. 2006. Enhancing login security through the use of keystroke input dynamics. in: Zhang, D. and Jain, A.K. (ed.) Advances in Biometrics: International Conference, ICB 2006, Hong Kong, China, January 5-7, 2006: Proceedings Berlin, Germany Springer.

Attribute selection for EEG signal classification using rough sets and neural networks
Revett, K., Szczuka, M., Jahankhani, P. and Kodogiannis, V. 2006. Attribute selection for EEG signal classification using rough sets and neural networks. in: Greco, S., Hata, Y., Hirano, S., Inuiguchi, M., Miyamoto, S., Nguyen, H.S. and Slowinski, R. (ed.) Rough sets and current trends in computing: 5th international conference, RSCTC 2006, Kobe, Japan, November 6-8, 2006: proceedings Berlin, Germany Springer.

Authenticating computer access based on keystroke dynamics using a probabilistic neural network
Revett, K., Gorunescu, F., Gorunescu, M., Ene, M., Tenreiro de Magalhaes, S. and Santos, H.M.D. 2006. Authenticating computer access based on keystroke dynamics using a probabilistic neural network. in: 2nd International Conference on Global E-Security, London, UK, 20-22 April 2006 (ICGeS-06) UNKNOWN. pp. 65-71

A machine learning approach to differentiating bacterial from viral meningitis
Revett, K., Gorunescu, F., Gorunescu, M. and Ene, M. 2006. A machine learning approach to differentiating bacterial from viral meningitis. in: IEEE John Vincent Atanasoff 2006 International Symposium on Modern Computing (JVA'06) Los Alamitos, USA IEEE . pp. 155-162

The characterization if inks through image-based analysis
Kokla, V., Psarrou, A. and Konstantinou, V. 2006. The characterization if inks through image-based analysis. in: The object in context: crossing conservation boundaries Munich, Germany International Institute for Conservation of Historic & Artistic Works. pp. 322

Probability analysis in art conservation
Kokla, V., Psarrou, A. and Konstantinou, V. 2006. Probability analysis in art conservation. in: Ranchordas, A., Araujo, H. and Encarnacao, B. (ed.) VISAPP 2006: Proceedings of the First International Conference on Computer Vision Theory and Applications Portugal INSTICC Press. pp. 508-514

Ink recognition based on statistical classification methods
Kokla, V., Psarrou, A. and Konstantinou, V. 2006. Ink recognition based on statistical classification methods. in: Second International Conference on Document Image Analysis for Libraries, 2006. DIAL '06. USA IEEE . pp. 254-264

EEG signal classification using wavelet feature extraction and neural networks
Jahankhani, P., Kodogiannis, V. and Revett, K. 2006. EEG signal classification using wavelet feature extraction and neural networks. in: JVA '06. IEEE John Vincent Atanasoff 2006 International Symposium on Modern Computing, 2006. Los Alamitos, USA IEEE . pp. 120-124

A neural computing-based approach for the early detection of hepatocellular carcinoma
Gorunescu, M., Gorunescu, F. and Revett, K. 2006. A neural computing-based approach for the early detection of hepatocellular carcinoma. International Journal of Biomedical Sciences. 1 (4), pp. 255-258.

Learning 2D hand shapes using the topology preservation model GNG
Angelopoulou, A., Rodríguez, J.G. and Psarrou, A. 2006. Learning 2D hand shapes using the topology preservation model GNG. in: Leonardis, A., Bischof, H. and Pinz, A. (ed.) Proceedings of the 9th IEEE European Conference on Computer Vision, ECCV 2006 Hamburg, Germany Springer. pp. 313-324

Growing neural gas (GNG): A soft competitive learning method for 2D hand modelling
García Rodríguez, J., Angelopoulou, A. and Psarrou, A. 2006. Growing neural gas (GNG): A soft competitive learning method for 2D hand modelling. IEICE Transactions on Information and Systems. E89-D (7), pp. 2124-2131. https://doi.org/10.1093/ietisy/e89-d.7.2124

A rough set-based magnetic resonance imaging partial volume detection system
Widz, S., Revett, K. and Slezak, D. 2005. A rough set-based magnetic resonance imaging partial volume detection system. in: Pal, S.K., Bandyopadhyay, S. and Biswas, S. (ed.) Pattern Recognition and Machine Intelligence: First International Conference, PReMI 2005, Kolkata, India, December 20-22, 2005: Proceedings Berlin, Germany Springer.

A hybrid approach to MR imaging segmentation using unsupervised clustering and approximate reducts
Widz, S., Revett, K. and Slezak, D. 2005. A hybrid approach to MR imaging segmentation using unsupervised clustering and approximate reducts. in: Slezak, D., Yao, J., Peters, J.F., Ziarko, W. and Hu, X. (ed.) Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing: 10th International Conference, RSFDGrC 2005, Regina, Canada, August 31 - September 3, 2005: Proceedings Springer Berlin, Germany.

Password secured sites: stepping forward with keystroke dynamics
Tenreiro de Magalhaes, S., Revett, K. and Santos, H.M.D. 2005. Password secured sites: stepping forward with keystroke dynamics. in: International Conference on Next Generation Web Services Practices, 2005: NWeSP 2005 USA IEEE . pp. 293-298

DataMining a keystroke dynamics biometrics database using rough sets
Revett, K., Tenreiro de Magalhaes, S. and Santos, H.M.D. 2005. DataMining a keystroke dynamics biometrics database using rough sets. in: Cardoso, A., Bento, C. and Dias, G. (ed.) EPIA05: 12th Portuguese Conference on Artificial Intelligence New York, USA IEEE . pp. 188-191

A rough sets based breast cancer decision support system
Revett, K. and Khan, A. 2005. A rough sets based breast cancer decision support system. in: Proceedings of the 2005 International Conference on Mathematics and Engineering Techniques in Medicine and Biological Sciences (METMBS '05). June 20 - 23, 2005, Monte Carlo Resort, Las Vegas, Nevada, USA CSREA Press. pp. 194-199

SOM based image pathology detection system
Revett, K. and Khan, A. 2005. SOM based image pathology detection system. in: Isai­as, P., Nunes, M.B. and Palma dos Reis, A. (ed.) Proceedings of the IADIS Virtual Multi Conference on Computer Science and Information Systems (MCCSIS 2005), April 11 - 29, 2005 IADIS. pp. 213-216

Enhancing login security using keystroke hardening and keyboard gridding
Revett, K. and Khan, A. 2005. Enhancing login security using keystroke hardening and keyboard gridding. in: Isai­as, P., Nunes, M.B. and Palma dos Reis, A. (ed.) Proceedings of the IADIS Virtual Multi Conference on Computer Science and Information Systems (MCCSIS 2005), April 11 - 29, 2005 IADIS. pp. 471-475

Classifying heart disease datasets using rough sets
Revett, K. and Khan, A. 2005. Classifying heart disease datasets using rough sets. in: Proceedings of the 2005 International Conference on Mathematics and Engineering Techniques in Medicine and Biological Sciences (METMBS '05). June 20 - 23, 2005, Monte Carlo Resort, Las Vegas, Nevada, USA CSREA Press.

A breast cancer diagnosis system: a combined approach using rough sets and probabilistic neural networks
Revett, K., Gorunescu, F., Gorunescu, M., El-Darzi, E. and Ene, M. 2005. A breast cancer diagnosis system: a combined approach using rough sets and probabilistic neural networks. in: EUROCON 2005: the International Conference on "Computer as a Tool": Belgrade, Serbia and Montenegro, November 21-24 2005 London, UK IEEE .

Attribute extraction and classification using rough sets on a lymphoma dataset
Revett, K. and Aydin, N. 2005. Attribute extraction and classification using rough sets on a lymphoma dataset. in: Proceedings of the 1st International Symposium on Health Informatics and Bioinformatics: HIBIT'05, 10-12 Nov 2005, Antalya, Turkey HIBIT.

A rough sets based classifier for primary biliary cirrhosis
Revett, K. 2005. A rough sets based classifier for primary biliary cirrhosis. in: EUROCON 2005: The International Conference on "Computer as a Tool": Belgrade, Serbia and Montenegro, November 21-24 2005 USA IEEE .

A computational model of stroke-in-progression
Revett, K. 2005. A computational model of stroke-in-progression. 14th Annual Meeting of the Computational Neuroscience Society (CNS2005). Madison, USA 17-21 Jul 2005

A computational model of acute and delayed tissue damage resulting from ischemic stroke
Revett, K. 2005. A computational model of acute and delayed tissue damage resulting from ischemic stroke. Fourteenth Annual Computational Neuroscience Meeting (CNS2005). Madison, USA 17-21 Jul 2005

Developing a keystroke dynamics based agent using rough sets
Revett, K. 2005. Developing a keystroke dynamics based agent using rough sets. in: 2005 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology Compiegne, France University of Compiegne.

Apoptosis as a mediator of delayed tissue damage in progressive stroke: a computational study
Revett, K. 2005. Apoptosis as a mediator of delayed tissue damage in progressive stroke: a computational study. in: Proceedings of the Annual Meeting of the International Society for Computational Biology (ISMB 2005), 25-29 Jun 2005, Detroit, USA. International Society for Computational Biology.

Probablistic image-based characterisation of manuscript inks
Psarrou, A. and Angelopoulou, A. 2005. Probablistic image-based characterisation of manuscript inks. SPIE International Symposium on Optical Metrology. Munich, Germany 13-17 Jun 2005

Computational modelling of the gene expression profile from acute ischaemic brain injury
Kola, J. and Revett, K. 2005. Computational modelling of the gene expression profile from acute ischaemic brain injury. in: 2005 ICSC Congress on Computational Intelligence Methods and Applications USA IEEE .

Probabilistic image-based characterization of manuscript inks
Kokla, V., Psarrou, A. and Konstantinou, V. 2005. Probabilistic image-based characterization of manuscript inks. in: Salimbeni, R. and Pezzati, L. (ed.) Proceedings of SPIE: optical methods for arts and archaeology International Society for Optical Engineering.

Data mining a hepatitis dataset using rough sets
Khan, A. and Revett, K. 2005. Data mining a hepatitis dataset using rough sets. in: AIDC 2005: International Conference on Artificial Intelligence and Digital Communications UNKNOWN. pp. 12-20

An automated anomaly EEG detection algorithm using discrete wavelet transforms
Jahankhani, P., Revett, K., Spackman, L., Kodogiannis, V. and Boyd, S. 2005. An automated anomaly EEG detection algorithm using discrete wavelet transforms. in: Prasad, B. (ed.) Proceedings of the 2nd Indian International Conference on Artificial Intelligence, Pune, India, December 20-22, 2005 (IICAI 05) IICAI. pp. 2679-2685

Detecting clinically relevant EEG anomalies using discrete wavelet transforms
Jahankhani, P., Revett, K. and Kodogiannis, V. 2005. Detecting clinically relevant EEG anomalies using discrete wavelet transforms. in: Proceedings of the 5th WSEAS International Conference on Wavelet Analysis and Multirate Systems (WAMUS 2005). Sofia, Bulgaria, 27 - 29 Oct 2005 WSEAS.

Automatic detection Of EEG abnormalities using wavelet transformations
Jahankhani, P., Revett, K. and Kodogiannis, V. 2005. Automatic detection Of EEG abnormalities using wavelet transformations. WSEAS Transactions on Signal Processing. 1 (1), pp. 55-60.

A hybrid approach to cancer classification: rough sets and probabilistic neural networks
Gorunescu, F., Gorunescu, M., El-Darzi, E., Gorunescu, S., Revett, K. and Khan, A. 2005. A hybrid approach to cancer classification: rough sets and probabilistic neural networks. in: The First East European Conference on Health Care Modelling and Computation (HCMC 2005). Craiova, Romania, August 31st - September 2nd, 2005 Craiova, Romania Universitatea din Craiova. pp. 149-159

Animal toxins: what features differentiate pore blockers from gate modifiers
Bhogal, S. and Revett, K. 2005. Animal toxins: what features differentiate pore blockers from gate modifiers. in: 2005 ICSC Congress on Computational Intelligence Methods and Applications USA IEEE .

Automatic landmarking of 2D medical shapes using the growing neural gas network
Angelopoulou, A., Psarrou, A., Rodríguez, J.G. and Revett, K. 2005. Automatic landmarking of 2D medical shapes using the growing neural gas network. in: Liu, Y., Jiang, T. and Zhang, C. (ed.) Computer Vision for Biomedical Image Applications: First International Workshop, CVBIA 2005, Beijing, China, October 21, 2005, Proceedings Berlin, Germany Springer.

Automatic landmark extraction from a class of hands using growing neural gas
Angelopoulou, A., Garcia Rodriguez, J. and Psarrou, A. 2005. Automatic landmark extraction from a class of hands using growing neural gas. in: Proceedings of the 9th IAPR Conference on Machine Vision Applications, MVA 2005 Tokyo, Japan IAPR MVA Conference Committee. pp. 168-171

Verification of data in staging schema, mapping between source tables and materialized views
Ahmed, E. and Revett, K. 2005. Verification of data in staging schema, mapping between source tables and materialized views. in: Cardoso, A., Bento, C. and Dias, G. (ed.) EPIA05: 12th Portuguese Conference on Artificial Intelligence IEEE . pp. 200-204

Key-frame extraction algorithm using entropy difference
Mentzelopoulos, M. and Psarrou, A. 2004. Key-frame extraction algorithm using entropy difference. in: Proceedings of the 6th ACM SIGMM International Workshop on Multimedia Information Retrieval New York, USA ACM. pp. 39-45

Delivering distance learning material via interactive television in the UK: a dynamic content-based inferface
Angelopoulou, A., Thomas, S., Konstantinou, V. and Psarrou, A. 2004. Delivering distance learning material via interactive television in the UK: a dynamic content-based inferface. 21st ICDE Conference on Open Learning and Distance Education. Hong Kong 18-21 Feb 2004

Evaluating statistical shape models for automatic landmark generation on a class of human hands
Angelopoulou, A. and Psarrou, A. 2004. Evaluating statistical shape models for automatic landmark generation on a class of human hands. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences. 34 (XXX).

diARTgnosis: study of European religious painting
Angelopoulou, A., Mantratzis, C., Psarrou, A. and Konstantinou, V. 2004. diARTgnosis: study of European religious painting. 2nd International Conference of Museology. Mytilene, Greece 28 Jun - 02 Jul 2004

A dynamic model for delivering distance learning material via interactive television
Angelopoulou, A., Thomas, S., Gallahan, P. and Psarrou, A. 2003. A dynamic model for delivering distance learning material via interactive television. Second International Conference on Multimedia and ICTs in Education. Badajoz, Spain 03-06 Dec 2003

Recognition of human gestures and behaviour based on motion trajectories
Psarrou, A., Gong, S. and Walter, M. 2002. Recognition of human gestures and behaviour based on motion trajectories. Image and Vision Computing. 20 (5-6), pp. 349-358. https://doi.org/10.1016/S0262-8856(02)00007-0

Corresponding dynamic appearances
Gong, S., Psarrou, A. and Romdani, S. 2002. Corresponding dynamic appearances. Image and Vision Computing. 20 (4), pp. 307-318. https://doi.org/10.1016/S0262-8856(02)00025-2

Image processing: a helpful tool in art conservation
Kokla, V., Psarrou, A. and Konstantinou, V. 2002. Image processing: a helpful tool in art conservation. in: Van Grieken, R., Janssens, K., Dack, L.V.T. and Meersman, G. (ed.) Art 2002 : 7th International Conference on Non-destructive Testing and Microanalysis for the Diagnostics and Conservation of the Cultural and Environmental Heritage 2-6 June 2002 Congress Centre Elzenveld, Antwerp, Begium: proceedings Antwerp University of Antwerp.

Use of non-destructive methodology in the identification of old inks
Alexopoulou, A., Kokla, V., Psarrou, A. and Konstantinou, V. 2002. Use of non-destructive methodology in the identification of old inks. in: Van Grieken, R., Janssens, K., van't dack, L. and Meersman, G. (ed.) Art 2002: proceedings of the 7th International Conference on Non-Destructive Testing and Microanalysis for Diagnostics and Conservation of Cultural and Environmental Heritage, 2002 Antwerp, Belgium University of Antwerp.

Data driven model acquisition using minimum description length
Walter, M., Psarrou, A. and Gong, S. 2001. Data driven model acquisition using minimum description length. in: Cootes, T. and Taylor, C. (ed.) BMVC: Proceedings of the 12th British Machine Vision Conference BMVA. pp. 673-683

Auto clustering for unsupervised learning of atomic gesture components using minimum description length
Walter, M., Psarrou, A. and Gong, S. 2001. Auto clustering for unsupervised learning of atomic gesture components using minimum description length. in: Proceedings of IEEE ICCV Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems, 2001 USA IEEE . pp. 157-162

An extensible movie system interface for information-rich television
Angelopoulou, A., Psarrou, A. and Parapadakis, D. 2001. An extensible movie system interface for information-rich television. in: Graham, P., Maheswaran, M. and Eskicioglu, M.R. (ed.) Proceedings of the International Conference on Internet Computing, IC'2001, Las Vegas, Nevada, USA, June 25-28, 2001 USA CSREA Press.

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