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Rod Adams: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Ken Tabb, Neil Davey, Rod Adams, Stella J. George
    Analysis of Human Motion Using Snakes and Neural Networks. [Citation Graph (0, 0)][DBLP]
    AMDO, 2000, pp:48-57 [Conf]
  2. Yi Sun, Mark Robinson, Rod Adams, Paul Kaye, Alistair G. Rust, Neil Davey
    Integrating Binding Site Predictions Using Non-linear Classification Methods. [Citation Graph (0, 0)][DBLP]
    Deterministic and Statistical Methods in Machine Learning, 2004, pp:229-241 [Conf]
  3. Lee Calcraft, Rod Adams, Neil Davey
    Gaussian and exponential architectures in small-world associative memories. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:617-622 [Conf]
  4. Kevin Doherty, Rod Adams, Neil Davey
    Non-Euclidean norms and data normalisation. [Citation Graph (0, 0)][DBLP]
    ESANN, 2004, pp:181-186 [Conf]
  5. Kevin Doherty, Rod Adams, Neil Davey
    TreeGNG - hierarchical topological clustering. [Citation Graph (0, 0)][DBLP]
    ESANN, 2005, pp:19-24 [Conf]
  6. Kevin Doherty, Rod Adams, Neil Davey
    Topological Correlation. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:125-130 [Conf]
  7. Yi Sun, Mark Robinson, Rod Adams, Rene te Boekhorst, Alistair G. Rust, Neil Davey
    Using sampling methods to improve binding site predictions. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:533-538 [Conf]
  8. Ken Tabb, Neil Davey, Rod Adams, Stella J. George
    A Hybrid Detection and Classfication System for Human Motion Analysis. [Citation Graph (0, 0)][DBLP]
    HIS, 2001, pp:139-157 [Conf]
  9. 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. [Citation Graph (0, 0)][DBLP]
    ICONIP, 1998, pp:797-800 [Conf]
  10. Kate Butchart, Neil Davey, Rod Adams
    A Comparative Study of Three Neuronal Networks that use Soft Competition. [Citation Graph (0, 0)][DBLP]
    IWANN, 1995, pp:308-314 [Conf]
  11. Wanida Pensuwon, Rod Adams, Neil Davey
    Optimizing a Neural Tree Using Subtree Retraining. [Citation Graph (0, 0)][DBLP]
    KES, 2004, pp:256-262 [Conf]
  12. Alistair G. Rust, Rod Adams, Stella J. George, Hamid Bolouri
    Towards Computational Neural Systems through Developmental Evolution. [Citation Graph (0, 0)][DBLP]
    Emergent Neural Computational Architectures Based on Neuroscience, 2001, pp:188-202 [Conf]
  13. Mark Robinson, Yi Sun, Rene te Boekhorst, Paul Kaye, Rod Adams, Neil Davey, Alistair G. Rust
    Improving Computational Predictions of Cis- Regulatory Binding Sites. [Citation Graph (0, 0)][DBLP]
    Pacific Symposium on Biocomputing, 2006, pp:391-402 [Conf]
  14. Wanida Pensuwon, Rod Adams, Neil Davey, Wiroj Taweepworadej
    Improving Radial Basis Function Networks for Human Face Recognition Using a Soft Computing Approach. [Citation Graph (0, 0)][DBLP]
    SEAL, 2006, pp:58-63 [Conf]
  15. Neil Davey, Rod Adams, Stella J. George
    The Architecture and Performance of a Stochastic Competitive Evolutionary Neural Tree Network. [Citation Graph (0, 0)][DBLP]
    Appl. Intell., 2000, v:12, n:1-2, pp:75-93 [Journal]
  16. Wanida Pensuwon, Rod Adams, Neil Davey
    The analysis of the addition of stochasticity to a neural tree classifier. [Citation Graph (0, 0)][DBLP]
    Appl. Soft Comput., 2001, v:1, n:3, pp:189-200 [Journal]
  17. Kevin Doherty, Rod Adams, Neil Davey
    Unsupervised learning with normalised data and non-Euclidean norms. [Citation Graph (0, 0)][DBLP]
    Appl. Soft Comput., 2007, v:7, n:1, pp:203-210 [Journal]
  18. Yi Sun, Timothy S. Butler, Alexander V. Shafarenko, Rod Adams, Martin Loomes, Neil Davey
    Word segmentation of handwritten text using supervised classification techniques. [Citation Graph (0, 0)][DBLP]
    Appl. Soft Comput., 2007, v:7, n:1, pp:71-88 [Journal]
  19. Neil Davey, Rod Adams
    High capacity associative memories and connection constraints. [Citation Graph (0, 0)][DBLP]
    Connect. Sci., 2004, v:16, n:1, pp:47-65 [Journal]
  20. Neil Davey, S. P. Hunt, Rod Adams
    High capacity recurrent associative memories. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2004, v:62, n:, pp:459-491 [Journal]
  21. Maria J. Schilstra, Alistair G. Rust, Rod Adams, Hamid Bolouri
    A finite state automaton model for multi-neuron simulations. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2002, v:44, n:, pp:1141-1148 [Journal]
  22. Ken Tabb, Neil Davey, Rod Adams, Stella J. George
    The recognition and analysis of animate objects using neural networks and active contour models. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2002, v:43, n:1-4, pp:145-172 [Journal]
  23. Rod Adams, Kate Butchart, Neil Davey
    Hierarchical classification with a competitive evolutionary neural tree. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1999, v:12, n:3, pp:541-551 [Journal]
  24. Rod Adams, Sue Gray
    Using Conditional Execution to Exploit Instruction Level Concurrency [Citation Graph (0, 0)][DBLP]
    Softw., Pract. Exper., 1995, v:25, n:9, pp:1003-1020 [Journal]
  25. Mark Robinson, Cristina González Castellano, Rod Adams, Neil Davey, Yi Sun
    Identifying Binding Sites in Sequential Genomic Data. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2007, pp:100-109 [Conf]
  26. 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. [Citation Graph (0, 0)][DBLP]
    ICANNGA (1), 2007, pp:822-829 [Conf]

  27. Using Feature Selection Filtering Methods for Binding Site Predictions. [Citation Graph (, )][DBLP]

  28. Evolved Patterns of Connectivity in Associative Memory Models. [Citation Graph (, )][DBLP]

  29. Sparsely-connected associative memory models with displaced connectivity. [Citation Graph (, )][DBLP]

  30. Using graph-theoretic measures to predict the performance of associative memory models. [Citation Graph (, )][DBLP]

  31. Prediction of Binding Sites in the Mouse Genome Using Support Vector Machines. [Citation Graph (, )][DBLP]

  32. Correcting Errors in Optical Data Transmission Using Neural Networks. [Citation Graph (, )][DBLP]

  33. Prediction of Skin Penetration Using Machine Learning Methods. [Citation Graph (, )][DBLP]

  34. Predicting Binding Sites in the Mouse Genome. [Citation Graph (, )][DBLP]

  35. Identifying word boundaries in handwrittem text. [Citation Graph (, )][DBLP]

  36. Connectivity graphs and the performance of sparse associative memory models. [Citation Graph (, )][DBLP]

  37. Optimising a neural tree classifier using a genetic algorithm. [Citation Graph (, )][DBLP]

  38. Adaptive Olfactory Encoding in Agents Controlled by Spiking Neural Networks. [Citation Graph (, )][DBLP]

  39. Connection Strategies in Associative Memory Models with Spiking and Non-spiking Neurons. [Citation Graph (, )][DBLP]

  40. The Effect of Different Forms of Synaptic Plasticity on Pattern Recognition in the Cerebellar Cortex. [Citation Graph (, )][DBLP]

  41. High capacity, small world associative memory models. [Citation Graph (, )][DBLP]

  42. Efficient architectures for sparsely-connected high capacity associative memory models. [Citation Graph (, )][DBLP]

  43. Learning through experience: an emergent connectionist account of letter production behaviour. [Citation Graph (, )][DBLP]

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