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Sunderland Repository records the research produced by the University of Sunderland including practice-based research and theses.

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Number of items: 44.

Article

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, 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

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

Wermter, Stefan and Weber, Cornelius (2007) A Self-Organizing Map of Sigma-Pi Units. Neurocomputing, 70. pp. 2552-2560. ISSN 09252312

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

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.

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

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) Recurrent Neural Learning for Classifying Spoken Utterances. No 3, 6. pp. 31-36. ISSN 1465-4091

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.

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

Book Section

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

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

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

Conference or Workshop Item

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)

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.

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.

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.

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.

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.

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.

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 (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.

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.

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)

This list was generated on Wed Dec 25 06:08:34 2024 GMT.