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2020 – today
- 2021
[j28]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)- 2020
- [j27]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): 347-370 (2020)
2010 – 2019
- 2018
- [c79]Ronakben Bhavsar, Neil Davey, Na Helian, Yi Sun, Tony Steffert, David Mayor:
Time Series Analysis using Embedding Dimension on Heart Rate Variability. BICA 2018: 89-96 - [c78]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: 97-104 - [c77]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: 139-146 - [c76]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: 304-313 - [c75]Muhammad Aamir Khan, Volker Steuber, Neil Davey, Borys Wróbel:
Spiking Neural Networks Evolved to Perform Multiplicative Operations. ICANN (1) 2018: 314-321 - [c74]Cosme Llerena, Detlef Müller, Roderick Adams, Neil Davey, Yi Sun:
Estimation of Microphysical Parameters of Atmospheric Pollution Using Machine Learning. ICANN (1) 2018: 579-588 - 2017
- [c73]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: 92-97 - [c72]Weam M. Binjumah, Alexey Redyuk, Rod Adams, Neil Davey, Yi Sun:
Investigating optical transmission error correction using wavelet transforms. ESANN 2017 - [c71]Weam M. Binjumah, Alexey Redyuk, Rod Adams, Neil Davey, Yi Sun:
Error Correction over Optical Transmission. ICPRAM 2017: 239-248 - [c70]Alex Hocking, Yi Sun, James E. Geach, Neil Davey:
Mining Hubble Space Telescope images. IJCNN 2017: 4179-4186 - [c69]Chama Bensmail, Volker Steuber, Neil Davey, Borys Wróbel:
Evolving spiking neural networks to control animats for temporal pattern recognition and foraging. SSCI 2017: 1-8 - 2016
- [c68]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: 372-379 - 2015
- [j26]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): 221-234 (2015) - [c67]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: 1-8 - 2014
- [c66]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: 965-972 - [c65]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: 1021-1025 - [c64]Tamie Salter, Neil Davey, François Michaud:
Designing & developing QueBall, a robotic device for autism therapy. RO-MAN 2014: 574-579 - 2013
- [c63]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: 319-326 - [c62]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: 438-445 - [c61]Aruna Shenoy, Neil Davey, Ray J. Frank:
Recognizing facial expressions: Computational models and humans. UKCI 2013: 191-198 - 2012
- [j25]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): 86-98 (2012) - [j24]David Gray, David Bowes, Neil Davey, Yi Sun, Bruce Christianson:
Reflections on the NASA MDP data sets. IET Softw. 6(6): 549-558 (2012) - [c60]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: 234-243 - [c59]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: 355-362 - [c58]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: 499-506 - [c57]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: 507-514 - [c56]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: 136-142 - [c55]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: 225-237 - 2011
- [j23]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): 2367-2375 (2011) - [j22]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: 14 (2011) - [j21]Aruna Shenoy, Sue H. Anthony, Ray J. Frank, Neil Davey:
Categorizing facial expressions: a comparison of computational models. Neural Comput. Appl. 20(6): 815-823 (2011) - [c54]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: 96-103 - [c53]David Gray, David Bowes, Neil Davey, Yi Sun, Bruce Christianson:
Further thoughts on precision. EASE 2011: 129-133 - [c52]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: 1-12 - 2010
- [c51]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 - [c50]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: 448-457 - [c49]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: 523-527 - [c48]David Gray, David Bowes, Neil Davey, Yi Sun, Bruce Christianson:
Software defect prediction using static code metrics underestimates defect-proneness. IJCNN 2010: 1-7 - [c47]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: 1-5
2000 – 2009
- 2009
- [j20]Rod Adams, Lee Calcraft, Neil Davey:
Using a genetic algorithm to investigate efficient connectivity in associative memories. Neurocomputing 72(4-6): 732-742 (2009) - [j19]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): 577-590 (2009) - [j18]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): 1949-1958 (2009) - [c46]Aruna Shenoy, Sue H. Anthony, Ray J. Frank, Neil Davey:
Discriminating Angry, Happy and Neutral Facial Expression: A Comparison of Computational Models. EANN 2009: 200-209 - [c45]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: 223-234 - [c44]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: 235-245 - [c43]Lee Calcraft, Rod Adams, Neil Davey:
Connection strategy and performance in sparsely connected 2D associative memory models with non-random images. ESANN 2009 - [c42]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: 42-51 - [c41]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: 413-422 - [c40]Nicolas Oros, Volker Steuber, Neil Davey, Lola Cañamero, Rod Adams:
Evolution of bilateral symmetry in agents controlled by spiking neural networks. ALIFE 2009: 116-123 - [c39]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: 179-183 - 2008
- [j17]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): 87-94 (2008) - [j16]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): 856-861 (2008) - [c38]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: 443-449 - [c37]Lee Calcraft, Rod Adams, Weiliang Chen, Neil Davey:
Using graph-theoretic measures to predict the performance of associative memory models. ESANN 2008: 107-112 - [c36]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: 91-100 - [c35]Aruna Shenoy, Tim M. Gale, Neil Davey, Bruce Christianson, Ray J. Frank:
Recognizing Facial Expressions: A Comparison of Computational Approaches. ICANN (1) 2008: 1001-1010 - [c34]Yi Sun, Gary P. Moss, Maria Prapopoulou, Rod Adams, Marc B. Brown, Neil Davey:
Prediction of Skin Penetration Using Machine Learning Methods. ICDM 2008: 1049-1054 - [c33]Weiliang Chen, Rod Adams, Lee Calcraft, Volker Steuber, Neil Davey:
Connectivity graphs and the performance of sparse associative memory models. IJCNN 2008: 2742-2749 - [c32]Nicolas Oros, Volker Steuber, Neil Davey, Lola Cañamero, Rod Adams:
Adaptive Olfactory Encoding in Agents Controlled by Spiking Neural Networks. SAB 2008: 148-158 - 2007
- [j15]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): 71-88 (2007) - [j14]Kevin A. J. Doherty, Rod Adams, Neil Davey:
Unsupervised learning with normalised data and non-Euclidean norms. Appl. Soft Comput. 7(1): 203-210 (2007) - [j13]Lee Calcraft, Rod Adams, Neil Davey:
Efficient architectures for sparsely-connected high capacity associative memory models. Connect. Sci. 19(2): 163-175 (2007) - [c31]Lee Calcraft, Rod Adams, Neil Davey:
Sparsely-connected associative memory models with displaced connectivity. ESANN 2007: 531-536 - [c30]Mark Robinson, Cristina González Castellano, Rod Adams, Neil Davey, Yi Sun:
Identifying Binding Sites in Sequential Genomic Data. ICANN (2) 2007: 100-109 - [c29]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: 822-829 - [c28]Yi Sun, Mark Robinson, Rod Adams, Neil Davey, Alistair G. Rust:
Predicting Binding Sites in the Mouse Genome. ICMLA 2007: 476-481 - 2006
- [j12]Fiona M. Richardson, Neil Davey, John Done, Rod Adams:
Learning through experience: an emergent connectionist account of letter production behaviour. Connect. Sci. 18(3): 231-245 (2006) - [j11]Neil Davey, Lee Calcraft, Rod Adams:
High capacity, small world associative memory models. Connect. Sci. 18(3): 247-264 (2006) - [c27]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: 566-571 - [c26]Rod Adams, Lee Calcraft, Neil Davey:
Evolved Patterns of Connectivity in Associative Memory Models. IEEE ICCI 2006: 754-759 - [c25]Kevin A. J. Doherty, Rod Adams, Neil Davey:
Topological Correlation. ESANN 2006: 125-130 - [c24]Yi Sun, Mark Robinson, Rod Adams, Rene te Boekhorst, Alistair G. Rust, Neil Davey:
Using sampling methods to improve binding site predictions. ESANN 2006: 533-538 - [c23]Lee Calcraft, Rod Adams, Neil Davey:
Gaussian and exponential architectures in small-world associative memories. ESANN 2006: 617-622 - [c22]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: 391-402 - [c21]Wanida Pensuwon, Rod Adams, Neil Davey, Wiroj Taweepworadej:
Improving Radial Basis Function Networks for Human Face Recognition Using a Soft Computing Approach. SEAL 2006: 58-63 - 2005
- [j10]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): 121-128 (2005) - [j9]Rod Adams, Neil Davey, Paul Kaye, Wanida Pensuwon:
Gene sequence data sets analysed using a hierarchical neural clusterer. Int. J. Syst. Sci. 36(14): 877-885 (2005) - [j8]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): 931-942 (2005) - [c20]Kevin A. J. Doherty, Rod Adams, Neil Davey:
TreeGNG - hierarchical topological clustering. ESANN 2005: 19-24 - 2004
- [j7]Neil Davey, Rod Adams:
High capacity associative memories and connection constraints. Connect. Sci. 16(1): 47-65 (2004) - [j6]Neil Davey, Stephen P. Hunt, Rod Adams:
High capacity recurrent associative memories. Neurocomputing 62: 459-491 (2004) - [c19]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: 229-241 - [c18]Kevin A. J. Doherty, Rod Adams, Neil Davey:
Non-Euclidean norms and data normalisation. ESANN 2004: 181-186 - [c17]Yi Sun, Timothy S. Butler, Alexander V. Shafarenko, Rod Adams, Martin J. Loomes, Neil Davey:
Identifying word boundaries in handwrittem text. ICMLA 2004: 5-9 - [c16]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: 763-768 - [c15]Wanida Pensuwon, Rod Adams, Neil Davey:
Optimizing a Neural Tree Using Subtree Retraining. KES 2004: 256-262 - [c14]Martin J. Loomes, Bruce Christianson, Neil Davey:
Formal Systems, Not Methods. TFM 2004: 47-64 - 2003
- [c13]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: 191-198 - 2002
- [j5]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): 145-172 (2002) - [c12]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: 83-88 - [c11]Jenny Hayes, Victoria Murphy, Neil Davey, Pam Smith, Lorna Peters:
Why will rat's go where rats will not? ESANN 2002: 101-106 - 2001
- [j4]Wanida Pensuwon, Rod Adams, Neil Davey:
The analysis of the addition of stochasticity to a neural tree classifier. Appl. Soft Comput. 1(3): 189-200 (2001) - [j3]Ray J. Frank, Neil Davey, Stephen P. Hunt:
Time Series Prediction and Neural Networks. J. Intell. Robotic Syst. 31(1-3): 91-103 (2001) - [c10]Ken Tabb, Neil Davey, Rod Adams, Stella J. George:
A Hybrid Detection and Classfication System for Human Motion Analysis. HIS 2001: 139-157 - 2000
- [j2]Neil Davey, Rod Adams, Stella J. George:
The Architecture and Performance of a Stochastic Competitive Evolutionary Neural Tree Network. Appl. Intell. 12(1-2): 75-93 (2000) - [c9]Ken Tabb, Neil Davey, Rod Adams, Stella J. George:
Analysis of Human Motion Using Snakes and Neural Networks. AMDO 2000: 48-57 - [c8]Ray J. Frank, Neil Davey, Stephen P. Hunt:
Input Window Size and Neural Network Predictors. IJCNN (2) 2000: 237-242 - [c7]Wanida Pensuwon, Rod Adams, Neil Davey:
Optimising a neural tree classifier using a genetic algorithm. KES 2000: 848-851
1990 – 1999
- 1999
- [j1]Rod Adams, Kate Butchart, Neil Davey:
Hierarchical classification with a competitive evolutionary neural tree. Neural Networks 12(3): 541-551 (1999) - [c6]Neil Davey, Stephen P. Hunt:
The Capacity and Attractor Basins of Associative Memory Models. IWANN (1) 1999: 330-339 - [c5]William Power, Ray J. Frank, John Done, Neil Davey:
A Modular Attractor Model of Semantic Access. IWANN (1) 1999: 340-347 - 1998
- [c4]Neil Davey, Ray J. Frank, Tim M. Gale, Stella J. George:
A Neural Network Model of Visual Object Recognition Impairments after Brain Damage. ICONIP 1998: 1470-1473 - 1997
- [c3]Kate Butchart, Neil Davey, R. G. Adams:
An Investigation into the Performance and Representations of a Stochastic, Evolutionary Neural Tree. ICANNGA 1997: 551-554 - 1996
- [c2]Kate Butchart, Neil Davey, Rod Adams:
Hierarchical classification with a stochastic competitive evolutionary neural tree. ICNN 1996: 1372-1377 - 1995
- [c1]Kate Butchart, Neil Davey, Rod Adams:
A Comparative Study of Three Neuronal Networks that use Soft Competition. IWANN 1995: 308-314
Coauthor Index
[c72] [c71] [j26] [c67] [c65] [c63] [c62] [j25] [c60] [c59] [c58] [c57] [c56] [c55] [j23] [j22] [c52] [c51] [c50] [c49] [c47] [j20] [j19] [j18] [c44] [c43] [c42] [c41] [c40] [c39] [j17] [j16] [c38] [c37] [c36] [c34] [c33] [c32] [j15] [j14] [j13] [c31] [c30] [c29] [c28] [j12] [j11] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [j9] [c20] [j7] [j6] [c19] [c18] [c17] [c15] [j5] [j4] [c10] [j2] [c9] [c7] [j1] [c2] [c1]
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