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    Author information
    First name: Neil
    Last name: Davey
    DBLP: 30/3496
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    Below you find the publications which have been written by this author.

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    Conference paper
    Weam M. Binjumah, Alexei Redyuk, Rod Adams, Neil Davey, Yi Sun.
    Error Correction over Optical Transmission.
    Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2017, Porto, Portugal, February 24-26, 2017. 2017 (0) 2017
    Conference paper
    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.
    Artificial Neural Networks and Machine Learning - ICANN 2016 - 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part II 2016 (0) 2016
    Conference paper
    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.
    Journal of Computational Neuroscience 2015, Volume 38 (0) 2015
    Conference paper
    Parivash Ashrafi, Yi Sun, Neil Davey, Rod Adams, Marc B. Brown, Maria Prapopoulou, Gary P. Moss.
    The importance of hyperparameters selection within small datasets.
    2015 International Joint Conference on Neural Networks, IJCNN 2015, Killarney, Ireland, July 12-17, 2015 2015 (0) 2015
    Conference paper
    Tamie Salter, Neil Davey, François Michaud.
    Designing developing QueBall, a robotic device for autism therapy.
    The 23rd IEEE International Symposium on Robot and Human Interactive Communication, IEEE RO-MAN 2014, Edinburgh, UK, August 25-29, 2014 2014 (0) 2014
    Conference paper
    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.
    26th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2014, Limassol, Cyprus, November 10-12, 2014 2014 (0) 2014
    Conference paper
    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.
    Artificial Neural Networks and Machine Learning - ICANN 2013 - 23rd International Conference on Artificial Neural Networks, Sofia, Bulgaria, September 10-13, 2013. Proceedings 2013 (0) 2013
    Conference paper
    Aruna Shenoy, Neil Davey, Ray J. Frank.
    Recognizing facial expressions: Computational models and humans.
    13th UK Workshop on Computational Intelligence, UKCI 2013, Guildford, United Kingdom, September 9-11, 2013 2013 (0) 2013
    Conference paper
    Alex Metaxas, Alexei Redyuk, Yi Sun, Alexander V. Shafarenko, Neil Davey, Rod Adams.
    Linear Support Vector Machines for Error Correction in Optical Data Transmission.
    Adaptive and Natural Computing Algorithms, 11th International Conference, ICANNGA 2013, Lausanne, Switzerland, April 4-6, 2013. Proceedings 2013 (0) 2013
    Conference paper
    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.
    Information Processign in Cells and Tissues - 9th International Conference, IPCAT 2012, Cambridge, UK, March 31 - April 2, 2012. Proceedings 2012 (0) 2012
    Conference paper
    Faisal Rezwan, Yi Sun, Neil Davey, Rod Adams, Alistair G. Rust, Mark Robinson.
    Improving Transcription Factor Binding Site Predictions by Using Randomised Negative Examples.
    Information Processign in Cells and Tissues - 9th International Conference, IPCAT 2012, Cambridge, UK, March 31 - April 2, 2012. Proceedings 2012 (0) 2012
    Conference paper
    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.
    Artificial Neural Networks and Machine Learning - ICANN 2012 - 22nd International Conference on Artificial Neural Networks, Lausanne, Switzerland, September 11-14, 2012, Proceedings, Part II 2012 (0) 2012
    Conference paper
    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.
    Artificial Neural Networks and Machine Learning - ICANN 2012 - 22nd International Conference on Artificial Neural Networks, Lausanne, Switzerland, September 11-14, 2012, Proceedings, Part II 2012 (0) 2012
    Conference paper
    Giseli de Sousa, Reinoud Maex, Rod Adams, Neil Davey, Volker Steuber.
    Evolving Dendritic Morphology and Parameters in Biologically Realistic Model Neurons for Pattern Recognition.
    Artificial Neural Networks and Machine Learning - ICANN 2012 - 22nd International Conference on Artificial Neural Networks, Lausanne, Switzerland, September 11-14, 2012, Proceedings, Part I 2012 (0) 2012
    Conference paper
    D. Gray, David Bowes, Neil Davey, Y. Sun, Bruce Christianson.
    Reflections on the NASA MDP data sets.
    IET Software 2012, Volume 6 (0) 2012
    Journal article
    Yi Sun, Rod Adams, Neil Davey, Gary P. Moss, Maria Prapopopolou, Marc B. Brown, Gary P. Martin, Simon Wilkinson.
    The application of Gaussian processes in the predictions of permeability across mammalian and polydimethylsiloxane membranes.
    Artif. Intell. Research 2012, Volume 1 (0) 2012
    Conference paper
    Faisal 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.
    Engineering Applications of Neural Networks, 13th International Conference, EANN 2012, London, UK, September 20-23, 2012. Proceedings 2012 (0) 2012
    Conference paper
    Y. Sun, Marc B. Brown, Maria Prapopoulou, Neil Davey, R. G. Adams, Gary P. Moss.
    The application of stochastic machine learning methods in the prediction of skin penetration.
    Appl. Soft Comput. 2011, Volume 11 (0) 2011
    Conference paper
    Faisal Rezwan, Yi Sun, Neil Davey, Rod Adams, Alistair G. Rust, Mark Robinson.
    Effect of Using Varying Negative Examples in Transcription Factor Binding Site Predictions.
    Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics - 9th European Conference, EvoBIO 2011, Torino, Italy, April 27-29, 2011. Proceedings 2011 (0) 2011
    Conference paper
    Aruna Shenoy, Sue H. Anthony, Ray J. Frank, Neil Davey.
    Categorizing facial expressions: a comparison of computational models.
    Neural Computing and Applications 2011, Volume 20 (0) 2011
    Journal article
    Weiliang Chen, Reinoud Maex, Rod Adams, Volker Steuber, Lee Calcraft, Neil Davey.
    Clustering Predicts Memory Performance in Networks of Spiking and Non-Spiking Neurons.
    Front. Comput. Neurosci. 2011, Volume 2011 (0) 2011
    Conference paper
    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.
    Artificial Neural Networks - ICANN 2010, 20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part II 2010 (0) 2010
    Conference paper
    Faisal Rezwan, Yi Sun, Neil Davey, Rod Adams, Alistair G. Rust, Mark Robinson.
    Using Randomised Vectors in Transcription Factor Binding Site Predictions.
    The Ninth International Conference on Machine Learning and Applications, ICMLA 2010, Washington, DC, USA, 12-14 December 2010 2010 (0) 2010
    Conference paper
    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.
    International Joint Conference on Neural Networks, IJCNN 2010, Barcelona, Spain, 18-23 July, 2010 2010 (0) 2010
    Conference paper
    David Gray, David Bowes, Neil Davey, Yi Sun, Bruce Christianson.
    Software defect prediction using static code metrics underestimates defect-proneness.
    International Joint Conference on Neural Networks, IJCNN 2010, Barcelona, Spain, 18-23 July, 2010 2010 (0) 2010
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    Your query returned 90 matches in the database.