MSc in Information Processing and Neural Networks
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King's College London MSc in Information Processing and Neural Networks |
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Past IPNN MSc Projects
The MSc course in Information Processing and Neural Networks is concluded with a project. Here you can find an overview of the projects carried out by MSc students over the last few years.
| Student | Project title | Supervisor |
| A Andersen | Input variable selection | JG Taylor and J Shadbolt (Econostat) |
| A Baga | Analysis of time series data for chaos and forecasting using neural networks | P. Mauthoor (Matrica) |
| P Ballester-Aristin | A neural network based prediction method for burst detection | ACC Coolen and A Day (Bradford Univ) |
| A Buchan | Model selection for support vector machines | P Sollich |
| M Hart | Rhino horn fingerprinting identification techniques | R Amin (ERA Technology) |
| P Stanley | Aspects of language modelling using neural networks | JG Taylor |
| A Thrasyvoulou | Predictions of protein folding using neural networks | ACC Coolen |
| A Tucker | Coupled oscillator models with non-trivial phase relations | ACC Coolen |
| Student | Project title | Supervisor |
| I. Caldwell | Image analysis using a multiple-cause model neural network | M. Plumbley |
| K.H. Chan | Modelling the UK Equity index data using neural networks | P. Mathoor (Matrica) |
| C. Goldschmidt | Bayesian techniques for support vector machines | P. Sollich |
| A. Halees | Learning curves for Gaussian processes | P. Sollich |
| A. Khan | Does a supervised neural network training algorithm use all the information available ? | P. Mauthoor (Matrica) |
| B. Rees | Use of neural network techniques to determine turning points in smoothed financial time series | J. Shadbolt (Econostat) and J.G. Taylor |
| E. Roussos | Neural networks for landslide hazard estimation | A.C.C. Coolen |
| A. Tucker | Musical instrument separation using a multiple-cause neural network | M. Plumbley |
| P. Silcox | An overview of current practices in financial time-series prediction using neural networks | A.C.C. Coolen |
| I. Vizas | Application of neural networks in financial time series prediction | H. Rae |
| Student | Project title | Supervisor |
| H. Chakravorty | Dynamics of on-line learning in Q-state neural networks | A.C.C. Coolen |
| C. Csaszi | Support-vector machines for financial markets | J. Shadbolt (Econostat) and J.G. Taylor |
| D.W. Jones | Investigation of the weather robustness of a dual-waveband target acquisition system using synthetically generated infrared imagery | J. Boyce and M. Bernhardt (DERA) |
| K. Kazmi | Crowd image analysis using neural networks | M. Plumbley |
| J. Kyriakides | Text from images using neural networks | W.P.J. Mackeown |
| A. Suman | Magnification factors in the visual cortex | M. Plumbley (Econostat) |
| E. Tzamali | Motion detection using a hierarchical bayesian network | M. Plumbley |
| B. Veal | An implementation of a bayesian neural network approach using monte-carlo integration | P. Mauthoor (Matrica) |
| Student | Project title | Supervisor |
| S.A. Abdallah | Neural models for the interpretation of musical sound | M. Plumbley |
| N.D. Bhinder | The use of neural networks and genetic algorithms in the weather correction of electricity load data | R. Amin (ERA Technology) |
| A.J. Gelli | Conciousness and neural networks | J.G. Taylor |
| T. Nikoletopoulos | Perceptron learning with biased questions | H.C. Rae |
| A.E.G. Patterson | Modelling volatility in stochastic financial markets | J.G. Taylor (Econostat) |
| J.C. Potts | Information theory and independent component analysis | M. Plumbley |
| S.A. Robinson | Intelligent document clustering for information retrieval | T. Clarkson (Sainsbury's) |
| P. Schreiner | Statistical arbitrage in Euromark futures using intra-day data | P. Refenes (LBS) |
| D. Wagenaar | Training Kanter's bit-generator by natural gradient descent | A.C.C. Coolen |
| Student | Project title | Supervisor |
| F. Afshar | Neural Controlled Motion of the Human Upper Limb: A Biological and Mathematical Approach | A.C.C. Coolen |
| C.F. Beckmann | Competition Between Short- and Long-Range Interactions in Recurrent Neural Networks | A.C.C. Coolen |
| M. Eich | A Feasibility Study of Developed Enhancements in an Existing Neural Net Engine | P. Mauthoor (Matrica), A.C.C. Coolen |
| A. Erskine | A Comparative Study of Approaches to Genetic Programming | W.P.J. McKeown |
| M. Fernandez-Cejas | Tailoring Self-Organising Maps to Real-World Situations - Theoretical and Practical Issues | R. Amin (ERA Technology), A.C.C. Coolen |
| B.S. George | Deformable Gabor Wavelets | W.P.J. McKeown |
| B.S. Kang | An Analysis of Genetic Algorithms Using a Markov Chain Model | A.C.C. Coolen |
| P. Kyriakoulis | Causality Analysis with Neural Networks | P. Refenes (LBS) |
| C. Perry | Diagnostic Evaluation of a Neural Network for the Purpose of Improving Time Series Prediction | P. Mauthoor (Matrica), A.C.C. Coolen |
| N.S. Skantzos | Evaluation of the Role of Interneurons in Associative Memory Models | M. Recce (UCL) |
| G. Vafeidis | Pitch and Melody Recognition from Digital Audio | W.P.J. McKeown |
| Student | Project title | Supervisor |
| J. Anemuller | Coupled Synaptic and Neuronal Dynamics for Oscillator Networks | A.C.C. Coolen |
| G.Z. Arevian | Exploring Time-Series Prediction | J.G. Taylor |
| W.C. Barnett | An analysis of intelligent agents for data mining | I. Hawkins (Sainsbury)
T.Clarkson & J.G. Taylor |
| J.W.R. Birnie | Modelling long-lived activity in the Cortex | J.G. Taylor |
| N. Bostrom | Neural Network Models of Cognition | J.G. Taylor |
| R. M. Jose | Application of Connectionist Methods to Rail Traffic Control | J. Boyce |
| R.A. MacCarthy Banos | Rule Inference from Neural Networks | I.Hawkins (Sainsbury)
T.Clarkson & J.G. Taylor |
| J. Malik | Construction (and implementation) of a Neural Network to find 'ratings' of managers having performed certain psychometric assessments | J.G. Taylor |
| C. Rimassa | Numerical Analysis of Vibrations of a Constrcted Plate | A.C.C. Coolen |
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