Neil Davey

Publication Activity (10 Years)

Years Active: 1995-2021
Publications (10 Years): 14

Top Venues

BICA

ICANN (1)

IJCNN

J. Comput. Neurosci.

Publications

Ankur Sinha, Christoph Metzner, Neil Davey, Roderick Adams, Michael Schmuker, Volker Steuber
Growth rules for the repair of Asynchronous Irregular neuronal networks after peripheral lesions. PLoS Comput. Biol. 17 (6) (2021)
Edward Wakelam, Amanda Jefferies, Neil Davey, Yi Sun
The potential for student performance prediction in small cohorts with minimal available attributes. Br. J. Educ. Technol. 51 (2) (2020)
Ronakben Bhavsar, Neil Davey, Yi Sun, Na Helian
An Investigation of How Wavelet Transform Can Affect the Correlation Performance of Biomedical Signals - The Correlation of EEG and HRV Frequency Bands in the Frontal Lobe of the Brain. BIOSIGNALS (2018)
Chama Bensmail, Volker Steuber, Neil Davey, Borys Wróbel
Spiking Neural Network Controllers Evolved for Animat Foraging Based on Temporal Pattern Recognition in the Presence of Noise on Input. ICANN (1) (2018)
Ronakben Bhavsar, Neil Davey, Na Helian, Yi Sun, Tony Steffert, David Mayor
Time Series Analysis using Embedding Dimension on Heart Rate Variability. BICA (2018)
Ronakben Bhavsar, Na Helian, Yi Sun, Neil Davey, Tony Steffert, David Mayor
Efficient Methods for Calculating Sample Entropy in Time Series Data Analysis. BICA (2018)
Muhammad Aamir Khan, Volker Steuber, Neil Davey, Borys Wróbel
Spiking Neural Networks Evolved to Perform Multiplicative Operations. ICANN (1) (2018)
Cosme Llerena, Detlef Müller, Roderick Adams, Neil Davey, Yi Sun
Estimation of Microphysical Parameters of Atmospheric Pollution Using Machine Learning. ICANN (1) (2018)
Weam M. Binjumah, Alexey Redyuk, Rod Adams, Neil Davey, Yi Sun
Error Correction over Optical Transmission. ICPRAM (2017)
Chama Bensmail, Volker Steuber, Neil Davey, Borys Wróbel
Evolving spiking neural networks to control animats for temporal pattern recognition and foraging. SSCI (2017)
Ronakben Bhavsar, Yi Sun, Na Helian, Neil Davey, David Mayor, Tony Steffert
The Correlation between EEG Signals as Measured in Different Positions on Scalp Varying with Distance. BICA (2017)
Weam M. Binjumah, Alexey Redyuk, Rod Adams, Neil Davey, Yi Sun
Investigating optical transmission error correction using wavelet transforms. ESANN (2017)
Alex Hocking, Yi Sun, James E. Geach, Neil Davey
Mining Hubble Space Telescope images. IJCNN (2017)
Daniel Priori, Giseli de Sousa, Mauro Roisenberg, Christopher Stopford, Evelyn Hesse, Emmanuel Salawu, Neil Davey, Yi Sun
Using Machine Learning Techniques to Recover Prismatic Cirrus Ice Crystal Size from 2-Dimensional Light Scattering Patterns. ICANN (2) (2016)
Parivash Ashrafi, Yi Sun, Neil Davey, Rod Adams, Marc B. Brown, Maria Prapopoulou, Gary P. Moss
The importance of hyperparameters selection within small datasets. IJCNN (2015)
Giseli de Sousa, Reinoud Maex, Rod Adams, Neil Davey, Volker Steuber
Dendritic morphology predicts pattern recognition performance in multi-compartmental model neurons with and without active conductances. J. Comput. Neurosci. 38 (2) (2015)
Tamie Salter, Neil Davey, François Michaud
Designing & developing QueBall, a robotic device for autism therapy. RO-MAN (2014)
Weam M. Binjumah, Yi Sun, Mark Hewitt, Rod Adams, Neil Davey, Darren R. Gullick, Simon C. Wilkinson, Mark T. D. Cronin, Gary P. Moss
Feature Selection Modelling for Percutaneous Absorption across Synthetic Membranes. ICTAI (2014)
Ahmed Abdelmotaleb, Neil Davey, Maria J. Schilstra, Volker Steuber, Borys Wróbel
volving Spiking Neural Networks for Temporal Pattern Recognition in the Presence of Noise. ALIFE (2014)
Alex Metaxas, Alexei Redyuk, Yi Sun, Alexander V. Shafarenko, Neil Davey, Rod Adams
Linear Support Vector Machines for Error Correction in Optical Data Transmission. ICANNGA (2013)
Aruna Shenoy, Neil Davey, Ray J. Frank
Recognizing facial expressions: Computational models and humans. UKCI (2013)
Parimala Alva, Giseli de Sousa, Ben Torben-Nielsen, Reinoud Maex, Rod Adams, Neil Davey, Volker Steuber
Evolution of Dendritic Morphologies Using Deterministic and Nondeterministic Genotype to Phenotype Mapping. ICANN (2013)
Faisal Ibne Rezwan, Yi Sun, Neil Davey, Rod Adams, Alistair G. Rust, Mark Robinson
Using Varying Negative Examples to Improve Computational Predictions of Transcription Factor Binding Sites. EANN (2012)
Yi Sun, Rod Adams, Neil Davey, Gary P. Moss, Maria Prapopopolou, Marc B. Brown, Gary P. Martin, Simon C. Wilkinson
The application of Gaussian processes in the predictions of permeability across mammalian and polydimethylsiloxane membranes. Artif. Intell. Res. 1 (2) (2012)
David Gray, David Bowes, Neil Davey, Yi Sun, Bruce Christianson
Reflections on the NASA MDP data sets. IET Softw. 6 (6) (2012)
Faisal Ibne Rezwan, Yi Sun, Neil Davey, Rod Adams, Alistair G. Rust, Mark Robinson
Improving Transcription Factor Binding Site Predictions by Using Randomised Negative Examples. IPCAT (2012)
Alex Metaxas, Reinoud Maex, Volker Steuber, Rod Adams, Neil Davey
The Effect of Different Types of Synaptic Plasticity on the Performance of Associative Memory Networks with Excitatory and Inhibitory Sub-populations. IPCAT (2012)
Yi Sun, Marc B. Brown, Maria Prapopoulou, Rod Adams, Neil Davey, Gary P. Moss
The Application of Gaussian Processes in the Predictions of Permeability across Mammalian Membranes. ICANN (2) (2012)
Giseli de Sousa, Reinoud Maex, Rod Adams, Neil Davey, Volker Steuber
Evolving Dendritic Morphology and Parameters in Biologically Realistic Model Neurons for Pattern Recognition. ICANN (1) (2012)
Alpa Shah, Gary P. Moss, Yi Sun, Rod Adams, Neil Davey, Simon C. Wilkinson
Using a Support Vector Machine and Sampling to Classify Compounds as Potential Transdermal Enhancers. ICANN (2) (2012)
Yi Sun, Marc B. Brown, Maria Prapopoulou, Neil Davey, Rod Adams, Gary P. Moss
The application of stochastic machine learning methods in the prediction of skin penetration. Appl. Soft Comput. 11 (2) (2011)
Aruna Shenoy, Sue H. Anthony, Ray J. Frank, Neil Davey
Categorizing facial expressions: a comparison of computational models. Neural Comput. Appl. 20 (6) (2011)
Faisal Ibne Rezwan, Yi Sun, Neil Davey, Rod Adams, Alistair G. Rust, Mark Robinson
Effect of Using Varying Negative Examples in Transcription Factor Binding Site Predictions. EvoBio (2011)
David Gray, David Bowes, Neil Davey, Yi Sun, Bruce Christianson
The misuse of the NASA metrics data program data sets for automated software defect prediction. EASE (2011)
Weiliang Chen, Reinoud Maex, Rod Adams, Volker Steuber, Lee Calcraft, Neil Davey
Clustering Predicts Memory Performance in Networks of Spiking and Non-Spiking Neurons. Frontiers Comput. Neurosci. 5 (2011)
David Gray, David Bowes, Neil Davey, Yi Sun, Bruce Christianson
Further thoughts on precision. EASE (2011)
Faisal Ibne Rezwan, Yi Sun, Neil Davey, Rod Adams, Alistair G. Rust, Mark Robinson
Using Randomised Vectors in Transcription Factor Binding Site Predictions. ICMLA (2010)
Stephen P. Hunt, Yi Sun, Alexander V. Shafarenko, Rod Adams, Neil Davey, Brendan Slater, Ranjeet S. Bhamber, Sonia K. Boscolo, Sergei K. Turitsyn
Correcting Errors in Optical Data Transmission Using Neural Networks. ICANN (2) (2010)
Yi Sun, Gary P. Moss, Maria Prapopoulou, Rod Adams, Marc B. Brown, Neil Davey
The Application of Gaussian Processes in the Prediction of Percutaneous Absorption for Mammalian and Synthetic Membranes. ESANN (2010)
Yi Sun, Lun Tak Lam, Gary P. Moss, Maria Prapopoulou, Rod Adams, Neil Davey, David Gray, Marc B. Brown
Predicting drug absorption rates through human skin. IJCNN (2010)
David Gray, David Bowes, Neil Davey, Yi Sun, Bruce Christianson
Software defect prediction using static code metrics underestimates defect-proneness. IJCNN (2010)
Yi Sun, Cristina González Castellano, Mark Robinson, Rod Adams, Alistair G. Rust, Neil Davey
Using pre & post-processing methods to improve binding site predictions. Pattern Recognit. 42 (9) (2009)
Aruna Shenoy, Sue H. Anthony, Ray J. Frank, Neil Davey
Discriminating Angry, Happy and Neutral Facial Expression: A Comparison of Computational Models. EANN (2009)
Nicolas Oros, Volker Steuber, Neil Davey, Lola Cañamero, Rod Adams
Evolution of bilateral symmetry in agents controlled by spiking neural networks. ALIFE (2009)
Lee Calcraft, Rod Adams, Neil Davey
Connection strategy and performance in sparsely connected 2D associative memory models with non-random images. ESANN (2009)
Yi Sun, Mark Robinson, Rod Adams, Rene te Boekhorst, Alistair G. Rust, Neil Davey
Integrating genomic binding site predictions using real-valued meta classifiers. Neural Comput. Appl. 18 (6) (2009)
Rod Adams, Lee Calcraft, Neil Davey
Using a genetic algorithm to investigate efficient connectivity in associative memories. Neurocomputing 72 (4-6) (2009)
Stephen P. Hunt, Yi Sun, Alexander V. Shafarenko, Rod Adams, Neil Davey, Brendan Slater, Ranjeet S. Bhamber, Sonia K. Boscolo, Sergei K. Turitsyn
Adaptive Electrical Signal Post-processing with Varying Representations in Optical Communication Systems. EANN (2009)
Weiliang Chen, Reinoud Maex, Rod Adams, Volker Steuber, Lee Calcraft, Neil Davey
Connection Strategies in Associative Memory Models with Spiking and Non-spiking Neurons. ICANNGA (2009)
Giseli de Sousa, Rod Adams, Neil Davey, Reinoud Maex, Volker Steuber
The Effect of Different Forms of Synaptic Plasticity on Pattern Recognition in the Cerebellar Cortex. ICANNGA (2009)
David Gray, David Bowes, Neil Davey, Yi Sun, Bruce Christianson
Using the Support Vector Machine as a Classification Method for Software Defect Prediction with Static Code Metrics. EANN (2009)
David Bowes, Rod Adams, Lola Cañamero, Volker Steuber, Neil Davey
The role of lateral inhibition in the sensory processing in a simulated spiking neural controller for a robot. ALIFE (2009)
Nicolas Oros, Volker Steuber, Neil Davey, Lola Cañamero, Rod Adams
Adaptive Olfactory Encoding in Agents Controlled by Spiking Neural Networks. SAB (2008)
Yi Sun, Gary P. Moss, Maria Prapopoulou, Rod Adams, Marc B. Brown, Neil Davey
Prediction of Skin Penetration Using Machine Learning Methods. ICDM (2008)
Lee Calcraft, Rod Adams, Neil Davey
Efficient connection strategies in 1D and 2D associative memory models with and without displaced connectivity. Biosyst. 94 (1-2) (2008)
Nicolas Oros, Volker Steuber, Neil Davey, Lola Cañamero, Rod Adams
Optimal noise in spiking neural networks for the detection of chemicals by simulated agents. ALIFE (2008)
Aruna Shenoy, Tim M. Gale, Neil Davey, Bruce Christianson, Ray J. Frank
Recognizing Facial Expressions: A Comparison of Computational Approaches. ICANN (1) (2008)
Mark Robinson, Cristina González Castellano, Faisal Ibne Rezwan, Rod Adams, Neil Davey, Alistair G. Rust, Yi Sun
Combining experts in order to identify binding sites in yeast and mouse genomic data. Neural Networks 21 (6) (2008)
Lee Calcraft, Rod Adams, Weiliang Chen, Neil Davey
Using graph-theoretic measures to predict the performance of associative memory models. ESANN (2008)
Yi Sun, Mark Robinson, Rod Adams, Alistair G. Rust, Neil Davey
Prediction of Binding Sites in the Mouse Genome Using Support Vector Machines. ICANN (2) (2008)
Weiliang Chen, Rod Adams, Lee Calcraft, Volker Steuber, Neil Davey
Connectivity graphs and the performance of sparse associative memory models. IJCNN (2008)
Lee Calcraft, Rod Adams, Neil Davey
Efficient architectures for sparsely-connected high capacity associative memory models. Connect. Sci. 19 (2) (2007)
Kevin Doherty, Rod Adams, Neil Davey
Unsupervised learning with normalised data and non-Euclidean norms. Appl. Soft Comput. 7 (1) (2007)
Yi Sun, Timothy S. Butler, Alexander V. Shafarenko, Rod Adams, Martin J. Loomes, Neil Davey
Word segmentation of handwritten text using supervised classification techniques. Appl. Soft Comput. 7 (1) (2007)
Yi Sun, Mark Robinson, Rod Adams, Neil Davey, Alistair G. Rust
Predicting Binding Sites in the Mouse Genome. ICMLA (2007)
Mark Robinson, Cristina González Castellano, Rod Adams, Neil Davey, Yi Sun
Identifying Binding Sites in Sequential Genomic Data. ICANN (2) (2007)
Lee Calcraft, Rod Adams, Neil Davey
Sparsely-connected associative memory models with displaced connectivity. ESANN (2007)
Mark Robinson, Offer Sharabi, Yi Sun, Rod Adams, Rene te Boekhorst, Alistair G. Rust, Neil Davey
Using Real-Valued Meta Classifiers to Integrate and Contextualize Binding Site Predictions. ICANNGA (1) (2007)
Yi Sun, Mark Robinson, Rod Adams, Rene te Boekhorst, Alistair G. Rust, Neil Davey
Using Feature Selection Filtering Methods for Binding Site Predictions. IEEE ICCI (2006)
Neil Davey, Lee Calcraft, Rod Adams
High capacity, small world associative memory models. Connect. Sci. 18 (3) (2006)
Lee Calcraft, Rod Adams, Neil Davey
Gaussian and exponential architectures in small-world associative memories. ESANN (2006)
Fiona M. Richardson, Neil Davey, John Done, Rod Adams
Learning through experience: an emergent connectionist account of letter production behaviour. Connect. Sci. 18 (3) (2006)
Mark Robinson, Yi Sun, Rene te Boekhorst, Paul Kaye, Rod Adams, Neil Davey, Alistair G. Rust
Improving Computational Predictions of Cis- Regulatory Binding Sites. Pacific Symposium on Biocomputing (2006)
Yi Sun, Mark Robinson, Rod Adams, Rene te Boekhorst, Alistair G. Rust, Neil Davey
Using sampling methods to improve binding site predictions. ESANN (2006)
Rod Adams, Lee Calcraft, Neil Davey
Evolved Patterns of Connectivity in Associative Memory Models. IEEE ICCI (2006)
Wanida Pensuwon, Rod Adams, Neil Davey, Wiroj Taweepworadej
Improving Radial Basis Function Networks for Human Face Recognition Using a Soft Computing Approach. SEAL (2006)
Kevin Doherty, Rod Adams, Neil Davey
Topological Correlation. ESANN (2006)
Samarasena Buchala, Neil Davey, Ray J. Frank, Martin J. Loomes, Tim M. Gale
The role of global and feature based information in gender classification of faces: a comparison of human performance and computational models. Int. J. Neural Syst. 15 (1-2) (2005)
Samarasena Buchala, Neil Davey, Tim M. Gale, Ray J. Frank
Analysis of linear and nonlinear dimensionality reduction methods for gender classification of face images. Int. J. Syst. Sci. 36 (14) (2005)
Kevin Doherty, Rod Adams, Neil Davey
TreeGNG - hierarchical topological clustering. ESANN (2005)
Rod Adams, Neil Davey, Paul Kaye, Wanida Pensuwon
Gene sequence data sets analysed using a hierarchical neural clusterer. Int. J. Syst. Sci. 36 (14) (2005)
Neil Davey, Stephen P. Hunt, Rod Adams
High capacity recurrent associative memories. Neurocomputing 62 (2004)
Samarasena Buchala, Neil Davey, Ray J. Frank, Tim M. Gale, Martin J. Loomes, Wanida Kanargard
Gender Classification of Face Images: The Role of Global and Feature-Based Information. ICONIP (2004)
Yi Sun, Mark Robinson, Rod Adams, Paul Kaye, Alistair G. Rust, Neil Davey
Integrating Binding Site Predictions Using Non-linear Classification Methods. Deterministic and Statistical Methods in Machine Learning (2004)
Martin J. Loomes, Bruce Christianson, Neil Davey
Formal Systems, Not Methods. TFM (2004)
Kevin Doherty, Rod Adams, Neil Davey
Non-Euclidean norms and data normalisation. ESANN (2004)
Neil Davey, Rod Adams
High capacity associative memories and connection constraints. Connect. Sci. 16 (1) (2004)
Wanida Pensuwon, Rod Adams, Neil Davey
Optimizing a Neural Tree Using Subtree Retraining. KES (2004)
Yi Sun, Timothy S. Butler, Alexander V. Shafarenko, Rod Adams, Martin J. Loomes, Neil Davey
Identifying word boundaries in handwrittem text. ICMLA (2004)
Fiona M. Richardson, Neil Davey, Lorna Peters, D. John Done, Sue H. Anthony
The Influence of Prior Knowledge and Related Experience on Generalisation Performance in Connectionist Networks. KES (2003)
Ken Tabb, Neil Davey, Rod Adams, Stella J. George
The recognition and analysis of animate objects using neural networks and active contour models. Neurocomputing 43 (1-4) (2002)
Fiona M. Richardson, Neil Davey, Lorna Peters, D. John Done, Sue H. Anthony
Connectionist models investigating representations formed in the sequential generation of characters. ESANN (2002)
Jenny Hayes, Victoria Murphy, Neil Davey, Pam Smith, Lorna Peters
Why will rat's go where rats will not? ESANN (2002)
Ray J. Frank, Neil Davey, Stephen P. Hunt
Time Series Prediction and Neural Networks. J. Intell. Robotic Syst. 31 (1-3) (2001)
Ken Tabb, Neil Davey, Rod Adams, Stella J. George
A Hybrid Detection and Classfication System for Human Motion Analysis. HIS (2001)
Wanida Pensuwon, Rod Adams, Neil Davey
The analysis of the addition of stochasticity to a neural tree classifier. Appl. Soft Comput. 1 (3) (2001)
Ray J. Frank, Neil Davey, Stephen P. Hunt
Input Window Size and Neural Network Predictors. IJCNN (2) (2000)
Neil Davey, Rod Adams, Stella J. George
The Architecture and Performance of a Stochastic Competitive Evolutionary Neural Tree Network. Appl. Intell. 12 (1-2) (2000)
Wanida Pensuwon, Rod Adams, Neil Davey
Optimising a neural tree classifier using a genetic algorithm. KES (2000)
Ken Tabb, Neil Davey, Rod Adams, Stella J. George
Analysis of Human Motion Using Snakes and Neural Networks. AMDO (2000)

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Publication Activity (10 Years)

Top Topics

Top Venues

Neil Davey