Sunderland Repository records the research produced by the University of Sunderland including practice-based research and theses.
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Tripathi, Nandita, Oakes, Michael and Wermter, Stefan (2011) Hybrid Parallel Classifiers for Semantic Subspace Learning. In: International Conference on Artifical Neural Networks (ICANN 2011), 14-17 June 2011, Espoo, Finland.. (Unpublished)
Tripathi, Nandita, Oakes, Michael and Wermter, Stefan (2011) Semantic subspace learning for text classification using hybrid intelligent techniques. International Journal of Hybrid Intelligent Systems, 8 (2). pp. 99-114. ISSN 1448-5869
Liu, Jindong, Perez-Gonzalez, David, Rees, Adrian, Erwin, Harry and Wermter, Stefan (2010) A Biologically inspired spiking neural network model of the auditory midbrain for sound source localisation. Neurocomputing, 74 (1-3). pp. 129-139. ISSN 0925-2312
Knowles, Michael, Baglee, David and Wermter, Stefan (2010) Reinforcement Learning for Scheduling of Maintenance. In: Thirtieth SGAI International Conference on Artificial Intelligence (AI-2010), 14-16 Dec 2010, Cambridge, England. (Unpublished)
Yau, Chi-Yung, Burn, Kevin and Wermter, Stefan (2010) Configuring the stochastic helmholtz machine for subcortical emotional learning. In: IEEE World Congress on Computational Intelligence (WCCI 2010), 18-23 Jul 2010, Barcelona, Spain.
Anwar, Muhammad Naveed, Oakes, Michael, Wermter, Stefan and Hinrich, Stefan (2010) Clustering audiology data. In: BeneLearn 2010: 19th annual machine learning conference of Belgium and the Netherlands, 27-28 May 2010, Leuven, Belgium.
Liu, Jindong, Perez-Gonzalez, David, Rees, Adrian, Erwin, Harry and Wermter, Stefan (2009) Multiple sound source localisation in reverberant environments inspired by the auditory midbrain. In: 19th International conference on artificial neural networks (ICANN '09), 14-17 Sep 2009, Limassol, Cyprus.
Liu, Jindong, Perez-Gonzalez, David, Rees, Adrian, Erwin, Harry and Wermter, Stefan (2009) A biomimetic spiking neural network of the auditory midbrain for mobile robot sound localisation in reverberant environments. In: 2009 International Joint Conference on Neural Networks: IJCNN 2009, 14-19 Jun 2009, Atlanta, Georgia, USA.
Knowles, Michael, Wermter, Stefan, Pulvermuller, F, Gallise, V, Taylor, John G and Page, Martin (2009) Multimodal communication in animals, humans and robots: an introduction to perspectives in brain-inspired informatics. Neural Networks, 22 (2). pp. 111-115. ISSN 0893-6080
Murray, John, Erwin, Harry and Wermter, Stefan (2009) Robotic sound source localisation architecture using cross-correlation and recurrent neural networks. Neural Networks, 22 (2). pp. 173-189. ISSN 0893-6080
Liu, Jindong, Erwin, Harry and Wermter, Stefan (2009) From the inferior colliculus to a computational sound localization model. Neural Network World: International journal on non-standard computing and artificial intelligence, 19 (5). pp. 499-512. ISSN 1210-0552
Bhagat, Kiran, Wermter, Stefan and Burn, Kevin (2009) Hybrid Learning Architecture for Unobtrusive Infrared Tracking Support. In: IEEE International Joint Conference on Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE, 2703- 2709. ISBN 9781424418206
Liu, Jindong, Erwin, Harry, Wermter, Stefan and Elsaid, Mahmoud (2008) A Biologically Inspired Spiking Neural Network for Sound Localization by the Inferior Colliculus. In: 18th International Conference on Artificial Neural Networks (ICANN 2008), 3-6 Sep 2008, Diplomat Hotel, Prague, Czech Republic.
Liu, Jindong, Erwin, Harry and Wermter, Stefan (2008) Mobile Robot Broadband Sound Localisation Using a Biologically Inspired Spiking Neural Network. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, 22-26 Sep 2008, Nice, France.
Yau, Chi-Yung, Burn, Kevin and Wermter, Stefan (2008) A Neural Wake-Sleep Learning Architecture for Associating Robotic Facial Emotions. In: IEEE World Congress on Computational Intelligence(IJCCN 2008), 1-8 June 2008, Hong Kong.
Bellotto, N, Burn, Kevin, Fletcher, E and Wermter, Stefan (2008) Appearance-based localization for mobile robots using digital zoom and visual compass. Robotics and Autonomous Systems, 56 (2). pp. 143-156. ISSN 0921-8890
Altahhan, Abdulrahman, Burn, Kevin and Wermter, Stefan (2008) Visual robot homing using Sarsa(λ), whole image measure, and radial basis function. In: IEEE International Joint Conference on Neural Networks, 2008: IJCNN 2008; (IEEE World Congress on Computational Intelligence, Hong Kong, June 2008). Institute of Electrical and Electronics Engineers, pp. 3861-3868. ISBN 9781424418206
McGarry, Kenneth, Garfield, Sheila and Wermter, Stefan (2007) Auto-Extraction, Representation and Integration of a Diabetes Ontology Using Bayesian Networks. In: Twentieth IEEE International Symposium on Computer-Based Medical Systems, 20-22 June 2007, Maribor, Slovenia.
Wermter, Stefan and Weber, Cornelius (2007) A Self-Organizing Map of Sigma-Pi Units. Neurocomputing, 70. pp. 2552-2560. ISSN 09252312
McGarry, Kenneth, Garfield, Sheila, Morris, Nick and Wermter, Stefan (2007) Integration of Hybrid Bio-Ontologies using Bayesian Networks for Knowledge Discovery. In: Third International Workshop on Neural-Symbolic Learning and Reasoning, 6-12 January 2007, Hyderabad, India.
Panchev, Christo and Wermter, Stefan (2006) Temporal Sequence Detection with Spiking Neurons: Towards Recognising Robot Language Instruction. Connection Science, 18 (1). pp. 1-22. ISSN 09540091
Malone, James, McGarry, Kenneth, Wermter, Stefan and Bowerman, Chris (2006) Data mining using rule extraction from Kohonen self-organising maps. Neural Computing & Applications, 15 (1). pp. 9-17. ISSN 0941-0643
Garfield, Sheila and Wermter, Stefan (2006) Call Classification using Recurrent Neural Networks, Support Vector Machines and Finite State Automata. Knowledge and Information Systems: An International Journal, 9 (2). pp. 131-156. ISSN 0219-1377
Wermter, Stefan, Weber, Cornelius and Elshaw, Mark (2006) A Hybrid Generative and Predictive model of the motor cortex. Neural Networks, 19 (4). pp. 339-353. ISSN 08936080
McGarry, Kenneth and Wermter, Stefan (2005) Training without data: knowledge insertion into RBF networks. In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI-05), August 2005, Edinburgh.
Garfield, Sheila, Devlin, Siobhan and Wermter, Stefan (2005) Spoken Language Classification using Hybrid Classifier Combination. International Journal of Hybrid Intelligent Systems, 2. pp. 13-33.
Erwin, Harry, Murray, John and Wermter, Stefan (2005) A Recurrent Neural Network for Sound-Source Motion Tracking and Prediction. In: International Joint Conference on Neural Networks.
Erwin, Harry, Murray, John and Wermter, Stefan (2005) A Hybrid Architecture using Cross-Correlation. In: Biomimetic Neural Learning for Intelligent Robots. Springer, pp. 55-73. ISBN 3540274405
Malone, J, Elshaw, Mark, McGarry, Kenneth, Bowerman, Chris and Wermter, Stefan (2005) Spatio-Temporal Neural Data Mining Architecture in Learning Robots. In: International Joint Conference on Neural Networks, 31Jul - 4 Aug 2005, Montreal, Canada.
Smith, Peter, Hung, Chihli and Wermter, Stefan (2004) Predictive Top-down Knowledge Improves Neural Exploratory Bottom-up Clustering. In: ECIR 2004 European Conference on Information Retrieval.
Smith, Peter, Hung, Chihli and Wermter, Stefan (2004) Hybrid Neural Document Clustering Using Guide Self-Organisation and WordNet. IEEE Intelligent Systems, 19 (2). pp. 68-77. ISSN 10947167
Panchev, Christo and Wermter, Stefan (2004) Spike-Timing-dependent Synaptic Plasticity: From Single Spikes to Spike Trains. Neurocomputing, 58-60. pp. 365-371. ISSN 09252312
Addison, Dale, McGarry, Kenneth, Wermter, Stefan and MacIntyre, John (2004) Stepwise Linear Regression Dimensionality Reduction in Neural Network Modelling. In: Proceedings of the International Conference on Artificial Intelligence and Applications, 16-18 February 2004, Innsbruck, Austria.
Wermter, Stefan, Elshaw, Mark and Farrand, Simon (2003) A Modular Approach to Self-organisation of Robot Control Based on Language Instruction. Connection Science, 15 (2-3). pp. 73-94. ISSN 09540091
Garfield, Sheila and Wermter, Stefan (2003) Comparing State Vector Machines, Recurrent Networks and Finite State Transducers for Classifying Spoken Utterances. In: International Conference on Artificial Neural Networks.
Garfield, Sheila and Wermter, Stefan (2003) Recurrent Neural Learning for Classifying Spoken Utterances. No 3, 6. pp. 31-36. ISSN 1465-4091
Garfield, Sheila and Wermter, Stefan (2002) Recurrent Neural Learning for Helpdesk Call Routing. In: Proceedings of the International Conference on Artifical Neural Networks.
Addison, Dale, Wermter, Stefan, McGarry, Kenneth and MacIntyre, John (2002) Methods for Integrating Memory into Neural Networks Applied to Condition Monitoring. In: 6th IASTED International Conference Artificial Intelligence & Soft Computing (ASC 2002),, 17-19 Jul 2002, Banff, Alberta, Canada.
Wermter, Stefan and Panchev, Christo (2002) Hybrid Preference Machines based on Inspiration from Neuroscience. Cognitive Systems Research, 3 (2). pp. 255-270. ISSN 03640213
McGarry, Kenneth, Wermter, Stefan and MacIntyre, John (2001) The extraction and comparison of knowledge from local function networks. International Journal of Computational Intelligence and Applications, 1 (4). pp. 369-382.
Addison, Dale, Macintyre, John and Wermter, Stefan (2001) The Advantages of Radial Basis Function Networks for Modelling Non-Linear Feature Spaces. In: AIA-2001 Artificial Intelligence and Applications, 4-7 Sep 2001, Marbella, Spain. (Unpublished)
MacIntyre, John, McGarry, Kenneth and Wermter, Stefan (2001) Knowledge Extraction from Local Function Networks. In: Proceedings of the International Joint Conference on Artificial Intelligence.
Garfield, Sheila, Elshaw, Mark and Wermter, Stefan (2001) Self-Organising Networks for Classification Learning from Normal and Aphasic Speech. In: 23rd Conference of the Cognitive Science Society, 1-4 Aug 2001, University of Edinburgh, Edinbugh, Scotland, UK.
McGarry, Kenneth, Tait, John, Wermter, Stefan and MacIntyre, John (1999) Rule extraction from radial basis function networks. In: 9th International Conference on Artificial Neural Networks, 7-10 Sep 1999, Edinburgh, UK.
McGarry, Kenneth, Wermter, Stefan and MacIntyre, John (1999) Knowledge extraction from radial basis function networks and multi-layer perceptrons. In: International Joint Conference on Neural Networks, 10-16 Jul 1999, Washington DC , USA. (Unpublished)
Addison, Dale, Wermter, Stefan and Macintyre, John (1999) Effectiveness of Feature Extraction in Neural Network Architectures for Novelty Detection. In: ICANN-99 9th International Conference on Artifical Neural Networks, 7-10 Sep 1999, Edinburgh, UK. (Unpublished)
McGarry, Kenneth, Wermter, Stefan and MacIntyre, John (1999) Hybrid neural systems: from simple coupling to fully integrated neural networks. Neural Computing Surveys, 2 (1). pp. 62-93. ISSN 1093-7609