Rod Adams

	2009
42		Rod Adams, Lee Calcraft, Neil Davey: Using a genetic algorithm to investigate efficient connectivity in associative memories. Neurocomputing 72(4-6): 732-742 (2009)
41		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)
	2008
40		Lee Calcraft, Rod Adams, Weiliang Chen, Neil Davey: Using graph-theoretic measures to predict the performance of associative memory models. ESANN 2008: 107-112
39		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
38		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
37		Weiliang Chen, Rod Adams, Lee Calcraft, Volker Steuber, Neil Davey: Connectivity graphs and the performance of sparse associative memory models. IJCNN 2008: 2742-2749
36		Nicolas Oros, Volker Steuber, Neil Davey, Lola Cañamero, Rod Adams: Adaptive Olfactory Encoding in Agents Controlled by Spiking Neural Networks. SAB 2008: 148-158
35		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)
	2007
34		Lee Calcraft, Rod Adams, Neil Davey: Sparsely-connected associative memory models with displaced connectivity. ESANN 2007: 531-536
33		Mark Robinson, Cristina González Castellano, Rod Adams, Neil Davey, Yi Sun: Identifying Binding Sites in Sequential Genomic Data. ICANN (2) 2007: 100-109
32		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
31		Kevin Doherty, Rod Adams, Neil Davey: Unsupervised learning with normalised data and non-Euclidean norms. Appl. Soft Comput. 7(1): 203-210 (2007)
30		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)
29		Lee Calcraft, Rod Adams, Neil Davey: Efficient architectures for sparsely-connected high capacity associative memory models. Connect. Sci. 19(2): 163-175 (2007)
	2006
28		Kevin Doherty, Rod Adams, Neil Davey: Topological Correlation. ESANN 2006: 125-130
27		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
26		Lee Calcraft, Rod Adams, Neil Davey: Gaussian and exponential architectures in small-world associative memories. ESANN 2006: 617-622
25		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
24		Rod Adams, Lee Calcraft, Neil Davey: Evolved Patterns of Connectivity in Associative Memory Models. IEEE ICCI 2006: 754-759
23		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
22		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
21		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)
20		Neil Davey, Lee Calcraft, Rod Adams: High capacity, small world associative memory models. Connect. Sci. 18(3): 247-264 (2006)
	2005
19		Kevin Doherty, Rod Adams, Neil Davey: TreeGNG - hierarchical topological clustering. ESANN 2005: 19-24
18		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)
	2004
17		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
16		Kevin Doherty, Rod Adams, Neil Davey: Non-Euclidean norms and data normalisation. ESANN 2004: 181-186
15		Wanida Pensuwon, Rod Adams, Neil Davey: Optimizing a Neural Tree Using Subtree Retraining. KES 2004: 256-262
14		Neil Davey, Rod Adams: High capacity associative memories and connection constraints. Connect. Sci. 16(1): 47-65 (2004)
13		Neil Davey, S. P. Hunt, Rod Adams: High capacity recurrent associative memories. Neurocomputing 62: 459-491 (2004)
	2002
12		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)
11		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
10		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
9		Ken Tabb, Neil Davey, Rod Adams, Stella J. George: A Hybrid Detection and Classfication System for Human Motion Analysis. HIS 2001: 139-157
8		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)
	2000
7		Ken Tabb, Neil Davey, Rod Adams, Stella J. George: Analysis of Human Motion Using Snakes and Neural Networks. AMDO 2000: 48-57
6		Wanida Pensuwon, Rod Adams, Neil Davey: Optimising a neural tree classifier using a genetic algorithm. KES 2000: 848-851
5		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
4		Rod Adams, Kate Butchart, Neil Davey: Hierarchical classification with a competitive evolutionary neural tree. Neural Networks 12(3): 541-551 (1999)
	1998
3		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
2		Kate Butchart, Neil Davey, Rod Adams: A Comparative Study of Three Neuronal Networks that use Soft Competition. IWANN 1995: 308-314
1		Rod Adams, Sue Gray: Using Conditional Execution to Exploit Instruction Level Concurrency Softw., Pract. Exper. 25(9): 1003-1020 (1995)

Coauthor Index

1	Rene te Boekhorst	[23] [25] [27] [32]
2	Hamid Bolouri	[3] [10] [11]
3	Marc B. Brown	[38]
4	Kate Butchart	[2] [4]
5	Timothy S. Butler	[30]
6	Lee Calcraft	[20] [24] [26] [29] [34] [37] [40] [42]
7	Lola Cañamero	[36]
8	Cristina González Castellano	[33] [35] [41]
9	Weiliang Chen	[37] [40]
10	Neil Davey	[2] [4] [5] [6] [7] [8] [9] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] [39] [40] [41] [42]
11	Kevin Doherty	[16] [19] [28] [31]
12	D. John Done	[21]
13	Stella J. George	[3] [5] [7] [9] [10] [12]
14	Sue Gray	[1]
15	S. P. Hunt	[13]
16	Paul Kaye	[17] [18] [23]
17	Martin Loomes (Martin J. Loomes)	[30]
18	Gary P. Moss	[38]
19	Nicolas Oros	[36]
20	Wanida Pensuwon	[6] [8] [15] [18] [22]
21	Maria Prapopoulou	[38]
22	Faisal Rezwan	[35]
23	Fiona M. Richardson	[21]
24	Mark Robinson	[17] [23] [25] [27] [32] [33] [35] [39] [41]
25	Alastair Rust	[35]
26	Alistair G. Rust	[3] [10] [11] [17] [23] [25] [27] [32] [39] [41]
27	Maria J. Schilstra	[11]
28	Alexander V. Shafarenko	[30]
29	Offer Sharabi	[32]
30	Volker Steuber	[36] [37]
31	Yi Sun	[17] [23] [25] [27] [30] [32] [33] [35] [38] [39] [41]
32	Ken Tabb	[7] [9] [12]
33	Wiroj Taweepworadej	[22]

Colors in the list of coauthors