Neil Davey

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2007
40EEMark Robinson, Cristina González Castellano, Rod Adams, Neil Davey, Yi Sun: Identifying Binding Sites in Sequential Genomic Data. ICANN (2) 2007: 100-109
39EEMark 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
38EEKevin Doherty, Rod Adams, Neil Davey: Unsupervised learning with normalised data and non-Euclidean norms. Appl. Soft Comput. 7(1): 203-210 (2007)
37EEYi 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)
36EELee Calcraft, Rod Adams, Neil Davey: Efficient architectures for sparsely-connected high capacity associative memory models. Connect. Sci. 19(2): 163-175 (2007)
2006
35EEKevin Doherty, Rod Adams, Neil Davey: Topological Correlation. ESANN 2006: 125-130
34EEYi 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
33EELee Calcraft, Rod Adams, Neil Davey: Gaussian and exponential architectures in small-world associative memories. ESANN 2006: 617-622
32EEYi 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
31EERod Adams, Lee Calcraft, Neil Davey: Evolved Patterns of Connectivity in Associative Memory Models. IEEE ICCI 2006: 754-759
30EEMark 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
29EEWanida 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
28EEFiona 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)
27EENeil Davey, Lee Calcraft, Rod Adams: High capacity, small world associative memory models. Connect. Sci. 18(3): 247-264 (2006)
2005
26EEKevin Doherty, Rod Adams, Neil Davey: TreeGNG - hierarchical topological clustering. ESANN 2005: 19-24
25EESamarasena Buchala, Neil Davey, Ray J. Frank, Martin 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)
24EERod 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)
23EESamarasena 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. Systems Science 36(14): 931-942 (2005)
2004
22EEYi 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
21EEKevin Doherty, Rod Adams, Neil Davey: Non-Euclidean norms and data normalisation. ESANN 2004: 181-186
20EESamarasena Buchala, Neil Davey, Ray J. Frank, Tim M. Gale, Martin Loomes, Wanida Kanargard: Gender Classification of Face Images: The Role of Global and Feature-Based Information. ICONIP 2004: 763-768
19EEWanida Pensuwon, Rod Adams, Neil Davey: Optimizing a Neural Tree Using Subtree Retraining. KES 2004: 256-262
18EEMartin Loomes, Bruce Christianson, Neil Davey: Formal Systems, Not Methods. TFM 2004: 47-64
17EENeil Davey, Rod Adams: High capacity associative memories and connection constraints. Connect. Sci. 16(1): 47-65 (2004)
16EENeil Davey, S. P. Hunt, Rod Adams: High capacity recurrent associative memories. Neurocomputing 62: 459-491 (2004)
2003
15EEFiona 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
14 Jenny Hayes, Victoria Murphy, Neil Davey, Pam Smith, Lorna Peters: Why will rat's go where rats will not? ESANN 2002: 101-106
13 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
12EEKen 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)
2001
11 Ken Tabb, Neil Davey, Rod Adams, Stella J. George: A Hybrid Detection and Classfication System for Human Motion Analysis. HIS 2001: 139-157
10EEWanida 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)
2000
9 Ken Tabb, Neil Davey, Rod Adams, Stella J. George: Analysis of Human Motion Using Snakes and Neural Networks. AMDO 2000: 48-57
8EERay J. Frank, Neil Davey, S. P. Hunt: Input Window Size and Neural Network Predictors. IJCNN (2) 2000: 237-242
7EEWanida Pensuwon, Rod Adams, Neil Davey: Optimising a neural tree classifier using a genetic algorithm. KES 2000: 848-851
6 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)
1999
5 Neil Davey, S. P. Hunt: The Capacity and Attractor Basins of Associative Memory Models. IWANN (1) 1999: 330-339
4 William Power, Ray J. Frank, D. John Done, Neil Davey: A Modular Attractor Model of Semantic Access. IWANN (1) 1999: 340-347
3EERod Adams, Kate Butchart, Neil Davey: Hierarchical classification with a competitive evolutionary neural tree. Neural Networks 12(3): 541-551 (1999)
1998
2 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
1995
1 Kate Butchart, Neil Davey, Rod Adams: A Comparative Study of Three Neuronal Networks that use Soft Competition. IWANN 1995: 308-314

Coauthor Index

1Rod Adams [1] [3] [6] [7] [9] [10] [11] [12] [16] [17] [19] [21] [22] [24] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] [39] [40]
2Sue H. Anthony [13] [15]
3Rene te Boekhorst [30] [32] [34] [39]
4Samarasena Buchala [20] [23] [25]
5Kate Butchart [1] [3]
6Timothy S. Butler [37]
7Lee Calcraft [27] [31] [33] [36]
8Cristina González Castellano [40]
9Bruce Christianson [18]
10Kevin Doherty [21] [26] [35] [38]
11D. John Done [4] [13] [15] [28]
12Ray J. Frank [2] [4] [8] [20] [23] [25]
13Tim M. Gale [2] [20] [23] [25]
14Stella J. George [2] [6] [9] [11] [12]
15Jenny Hayes [14]
16S. P. Hunt [5] [8] [16]
17Wanida Kanargard [20]
18Paul Kaye [22] [24] [30]
19Martin Loomes [18] [20] [25] [37]
20Victoria Murphy [14]
21Wanida Pensuwon [7] [10] [19] [24] [29]
22Lorna Peters [13] [14] [15]
23William Power [4]
24Fiona M. Richardson [13] [15] [28]
25Mark Robinson [22] [30] [32] [34] [39] [40]
26Alistair G. Rust [22] [30] [32] [34] [39]
27Alexander V. Shafarenko [37]
28Offer Sharabi [39]
29Pam Smith [14]
30Yi Sun [22] [30] [32] [34] [37] [39] [40]
31Ken Tabb [9] [11] [12]
32Wiroj Taweepworadej [29]

Copyright © Thu Aug 7 17:01:52 2008 by Michael Ley (ley@uni-trier.de)