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 | 2012 | |
|---|---|---|
| c40 |      | 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 |
| c39 | | Alpa Shah, Gary P. Moss, Yi Sun, Rod Adams, Neil Davey, Simon Wilkinson: Using a Support Vector Machine and Sampling to Classify Compounds as Potential Transdermal Enhancers. ICANN (2) 2012: 499-506 |
| c38 | | 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 |
| c37 | | 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 |
| c36 | | Faisal 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 | ||
| j20 | | 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) |
| c35 | | 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. EvoBio 2011: 1-12 |
| 2010 | ||
| c34 | | 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 |
| c33 | | 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 |
| c32 | | Faisal 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 |
| c31 | | 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 |
| 2009 | ||
| j19 | | Rod Adams, Lee Calcraft, Neil Davey: Using a genetic algorithm to investigate efficient connectivity in associative memories. Neurocomputing 72(4-6): 732-742 (2009) |
| j18 | | 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 Computing and Applications 18(6): 577-590 (2009) |
| j17 | | 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 Recognition 42(9): 1949-1958 (2009) |
| c30 | | Lee Calcraft, Rod Adams, Neil Davey: Connection strategy and performance in sparsely connected 2D associative memory models with non-random images. ESANN 2009 |
| c29 | | 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 |
| c28 | | 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 |
| 2008 | ||
| j16 | | Lee Calcraft, Rod Adams, Neil Davey: Efficient connection strategies in 1D and 2D associative memory models with and without displaced connectivity. Biosystems 94(1-2): 87-94 (2008) |
| j15 | | Mark Robinson, Cristina González Castellano, Faisal Rezwan, Rod Adams, Neil Davey, Alastair Rust, Yi Sun: Combining experts in order to identify binding sites in yeast and mouse genomic data. Neural Networks 21(6): 856-861 (2008) |
| c27 | | Lee Calcraft, Rod Adams, Weiliang Chen, Neil Davey: Using graph-theoretic measures to predict the performance of associative memory models. ESANN 2008: 107-112 |
| c26 | | 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 |
| c25 | | 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 |
| c24 | | Weiliang Chen, Rod Adams, Lee Calcraft, Volker Steuber, Neil Davey: Connectivity graphs and the performance of sparse associative memory models. IJCNN 2008: 2742-2749 |
| c23 | | 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 | ||
| j14 | | Yi Sun, Timothy S. Butler, Alexander V. Shafarenko, Rod Adams, Martin Loomes, Neil Davey: Word segmentation of handwritten text using supervised classification techniques. Appl. Soft Comput. 7(1): 71-88 (2007) |
| j13 | | Kevin Doherty, Rod Adams, Neil Davey: Unsupervised learning with normalised data and non-Euclidean norms. Appl. Soft Comput. 7(1): 203-210 (2007) |
| j12 | | Lee Calcraft, Rod Adams, Neil Davey: Efficient architectures for sparsely-connected high capacity associative memory models. Connect. Sci. 19(2): 163-175 (2007) |
| c22 | | Lee Calcraft, Rod Adams, Neil Davey: Sparsely-connected associative memory models with displaced connectivity. ESANN 2007: 531-536 |
| c21 | | Mark Robinson, Cristina González Castellano, Rod Adams, Neil Davey, Yi Sun: Identifying Binding Sites in Sequential Genomic Data. ICANN (2) 2007: 100-109 |
| c20 | | 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 |
| c19 | | Yi Sun, Mark Robinson, Rod Adams, Neil Davey, Alistair G. Rust: Predicting Binding Sites in the Mouse Genome. ICMLA 2007: 476-481 |
| 2006 | ||
| j11 | | Fiona M. Richardson, Neil Davey, D. John Done, Rod Adams: Learning through experience: an emergent connectionist account of letter production behaviour. Connect. Sci. 18(3): 231-245 (2006) |
| j10 | | Neil Davey, Lee Calcraft, Rod Adams: High capacity, small world associative memory models. Connect. Sci. 18(3): 247-264 (2006) |
| c18 | | 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 |
| c17 | | Rod Adams, Lee Calcraft, Neil Davey: Evolved Patterns of Connectivity in Associative Memory Models. IEEE ICCI 2006: 754-759 |
| c16 | | |
| c15 | | 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 |
| c14 | | Lee Calcraft, Rod Adams, Neil Davey: Gaussian and exponential architectures in small-world associative memories. ESANN 2006: 617-622 |
| c13 | | 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 |
| c12 | | 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 | ||
| j9 | | Rod Adams, Neil Davey, Paul Kaye, Wanida Pensuwon: Gene sequence data sets analysed using a hierarchical neural clusterer. Int. J. Systems Science 36(14): 877-885 (2005) |
| c11 | | Kevin Doherty, Rod Adams, Neil Davey: TreeGNG - hierarchical topological clustering. ESANN 2005: 19-24 |
| 2004 | ||
| j8 | | Neil Davey, Rod Adams: High capacity associative memories and connection constraints. Connect. Sci. 16(1): 47-65 (2004) |
| j7 | | Neil Davey, Stephen P. Hunt, Rod Adams: High capacity recurrent associative memories. Neurocomputing 62: 459-491 (2004) |
| c10 | | 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 |
| c9 | | Kevin Doherty, Rod Adams, Neil Davey: Non-Euclidean norms and data normalisation. ESANN 2004: 181-186 |
| c8 | | Yi Sun, Timothy S. Butler, Alexander V. Shafarenko, Rod Adams, Martin Loomes, Neil Davey: Identifying word boundaries in handwrittem text. ICMLA 2004: 5-9 |
| c7 | | Wanida Pensuwon, Rod Adams, Neil Davey: Optimizing a Neural Tree Using Subtree Retraining. KES 2004: 256-262 |
| 2002 | ||
| j6 | | 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) |
| j5 | | Maria J. Schilstra, Alistair G. Rust, Rod Adams, Hamid Bolouri: A finite state automaton model for multi-neuron simulations. Neurocomputing 44-46: 1141-1148 (2002) |
| 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) |
| c6 |  | Ken Tabb, Neil Davey, Rod Adams, Stella J. George: A Hybrid Detection and Classfication System for Human Motion Analysis. HIS 2001: 139-157 |
| c5 | | Alistair G. Rust, Rod Adams, Stella J. George, Hamid Bolouri: Towards Computational Neural Systems through Developmental Evolution. Emergent Neural Computational Architectures Based on Neuroscience 2001: 188-202 |
| 2000 | ||
| j3 | | 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) |
| c4 | | Ken Tabb, Neil Davey, Rod Adams, Stella J. George: Analysis of Human Motion Using Snakes and Neural Networks. AMDO 2000: 48-57 |
| c3 | | Wanida Pensuwon, Rod Adams, Neil Davey: Optimising a neural tree classifier using a genetic algorithm. KES 2000: 848-851 |
| 1999 | ||
| j2 | | Rod Adams, Kate Butchart, Neil Davey: Hierarchical classification with a competitive evolutionary neural tree. Neural Networks 12(3): 541-551 (1999) |
| 1998 | ||
| c2 | | Hamid Bolouri, Rod Adams, Stella J. George, Alistair G. Rust: Molecular Self-Organization in the Development Model for the Evolution of Large-scale Artificial Neural Networks. ICONIP 1998: 797-800 |
| 1995 | ||
| j1 | | Rod Adams, Sue Gray: Using Conditional Execution to Exploit Instruction Level Concurrency. Softw., Pract. Exper. 25(9): 1003-1020 (1995) |
| c1 | | Kate Butchart, Neil Davey, Rod Adams: A Comparative Study of Three Neuronal Networks that use Soft Competition. IWANN 1995: 308-314 |
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