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Designing & developing QueBall, a robotic device for autism therapy

The 23rd IEEE International Symposium on Robot and Human Interactive Communication, 2014, p.574-579

2014

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High Performance Associative Memory Models with Low Wiring Costs

2006 3rd International IEEE Conference Intelligent Systems, 2006, p.612-616

2006

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An accelerometer based sensor platform for insitu elite athlete performance analysis

Proceedings of IEEE Sensors, 2004, 2004, p.1373-1376 vol.3

2004

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Evolving spiking neural networks to control animats for temporal pattern recognition and foraging

2017 IEEE Symposium Series on Computational Intelligence (SSCI), 2017, p.1-8

2017

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Connectivity graphs and the performance of sparse associative memory models

2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence), 2008, Vol.10, p.2742-2749

2008

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Mining Hubble Space Telescope images

2017 International Joint Conference on Neural Networks (IJCNN), 2017, p.4179-4186

2017

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Recognizing facial expressions: Computational models and humans

2013 13th UK Workshop on Computational Intelligence (UKCI), 2013, p.191-198

2013

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Biologically plausible computational models for facial expression recognition

2013 5th Computer Science and Electronic Engineering Conference (CEEC), 2013, p.39-44

2013

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Software defect prediction using static code metrics underestimates defect-proneness

The 2010 International Joint Conference on Neural Networks (IJCNN), 2010, p.1-7

2010

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The importance of hyperparameters selection within small datasets

2015 International Joint Conference on Neural Networks (IJCNN), 2015, p.1-8

2015

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Feature Selection Modelling for Percutaneous Absorption across Synthetic Membranes

2014 IEEE 26th International Conference on Tools with Artificial Intelligence, 2014, p.1021-1025

2014

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Evolution of bilateral symmetry in agents controlled by spiking neural networks

2009 IEEE Symposium on Artificial Life, 2009, p.116-123

2009

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Using Randomised Vectors in Transcription Factor Binding Site Predictions

2010 Ninth International Conference on Machine Learning and Applications, 2010, p.523-527

2010

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Prediction of Skin Penetration Using Machine Learning Methods

2008 Eighth IEEE International Conference on Data Mining, 2008, p.1049-1054

2008

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The role of lateral inhibition in the sensory processing in a simulated spiking neural controller for a robot

2009 IEEE Symposium on Artificial Life, 2009, p.179-183

2009

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Predicting Binding Sites in the Mouse Genome

Sixth International Conference on Machine Learning and Applications (ICMLA 2007), 2007, p.476-481

2007

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Evolved Patterns of Connectivity in Associative Memory Models

2006 5th IEEE International Conference on Cognitive Informatics, 2006, Vol.2, p.754-759

2006

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Predicting drug absorption rates through human skin

The 2010 International Joint Conference on Neural Networks (IJCNN), 2010, p.1-5

2010

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High capacity associative memories and small world networks

2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541), 2004, Vol.1, p.177-182

2004

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Evolving high capacity associative memories with efficient wiring

Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005, 2005, Vol.5, p.3168-3173 vol. 5

2005

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Hierarchical topological clustering learns stock market sectors

2005 ICSC Congress on Computational Intelligence Methods and Applications, 2005, p.6 pp.

2005

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Using Feature Selection Filtering Methods for Binding Site Predictions

2006 5th IEEE International Conference on Cognitive Informatics, 2006, Vol.1, p.566-571

2006

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Using real-valued meta classifiers to integrate binding site predictions

Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005, 2005, Vol.1, p.481-486 vol. 1

2005

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Dimensionality reduction of face images for gender classification

2004 2nd International IEEE Conference on 'Intelligent Systems'. Proceedings (IEEE Cat. No.04EX791), 2004, Vol.1, p.88-93 Vol.1

2004

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Self-organising map representations of greyscale images reflect human similarity judgements

2004 2nd International IEEE Conference on 'Intelligent Systems'. Proceedings (IEEE Cat. No.04EX791), 2004, Vol.1, p.66-70 Vol.1

2004

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Designing & developing QueBall, a robotic device for autism therapy

High Performance Associative Memory Models with Low Wiring Costs

An accelerometer based sensor platform for insitu elite athlete performance analysis

Evolving spiking neural networks to control animats for temporal pattern recognition and foraging

Connectivity graphs and the performance of sparse associative memory models

Mining Hubble Space Telescope images

Recognizing facial expressions: Computational models and humans

Biologically plausible computational models for facial expression recognition

Software defect prediction using static code metrics underestimates defect-proneness

The importance of hyperparameters selection within small datasets

Feature Selection Modelling for Percutaneous Absorption across Synthetic Membranes

Evolution of bilateral symmetry in agents controlled by spiking neural networks

Using Randomised Vectors in Transcription Factor Binding Site Predictions

Prediction of Skin Penetration Using Machine Learning Methods

The role of lateral inhibition in the sensory processing in a simulated spiking neural controller for a robot

Predicting Binding Sites in the Mouse Genome

Evolved Patterns of Connectivity in Associative Memory Models

Predicting drug absorption rates through human skin

High capacity associative memories and small world networks

Evolving high capacity associative memories with efficient wiring

Hierarchical topological clustering learns stock market sectors

Using Feature Selection Filtering Methods for Binding Site Predictions

Using real-valued meta classifiers to integrate binding site predictions

Dimensionality reduction of face images for gender classification

Self-organising map representations of greyscale images reflect human similarity judgements

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