Rod Adams

Publication Activity (10 Years)

Years Active: 1990-2017
Publications (10 Years): 2

Top Topics

Error Correction

Top Venues

J. Comput. Neurosci.

Publications

Weam M. Binjumah, Alexey Redyuk, Rod Adams, Neil Davey, Yi Sun
Error Correction over Optical Transmission. ICPRAM (2017)
Weam M. Binjumah, Alexey Redyuk, Rod Adams, Neil Davey, Yi Sun
Investigating optical transmission error correction using wavelet transforms. ESANN (2017)
Parivash Ashrafi, Yi Sun, Neil Davey, Rod Adams, Marc B. Brown, Maria Prapopoulou, Gary P. Moss
The importance of hyperparameters selection within small datasets. IJCNN (2015)
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. J. Comput. Neurosci. 38 (2) (2015)
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. ICTAI (2014)
Alex Metaxas, Alexei Redyuk, Yi Sun, Alexander V. Shafarenko, Neil Davey, Rod Adams
Linear Support Vector Machines for Error Correction in Optical Data Transmission. ICANNGA (2013)
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. ICANN (2013)
Faisal Ibne 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. EANN (2012)
Yi Sun, Rod Adams, Neil Davey, Gary P. Moss, Maria Prapopopolou, Marc B. Brown, Gary P. Martin, Simon C. Wilkinson
The application of Gaussian processes in the predictions of permeability across mammalian and polydimethylsiloxane membranes. Artif. Intell. Res. 1 (2) (2012)
Faisal Ibne 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)
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)
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)
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)
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. ICANN (2) (2012)
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) (2011)
Faisal Ibne 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)
Weiliang Chen, Reinoud Maex, Rod Adams, Volker Steuber, Lee Calcraft, Neil Davey
Clustering Predicts Memory Performance in Networks of Spiking and Non-Spiking Neurons. Frontiers Comput. Neurosci. 5 (2011)
Faisal Ibne Rezwan, Yi Sun, Neil Davey, Rod Adams, Alistair G. Rust, Mark Robinson
Using Randomised Vectors in Transcription Factor Binding Site Predictions. ICMLA (2010)
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)
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)
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)
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 Recognit. 42 (9) (2009)
Nicolas Oros, Volker Steuber, Neil Davey, Lola Cañamero, Rod Adams
Evolution of bilateral symmetry in agents controlled by spiking neural networks. ALIFE (2009)
Lee Calcraft, Rod Adams, Neil Davey
Connection strategy and performance in sparsely connected 2D associative memory models with non-random images. ESANN (2009)
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 Comput. Appl. 18 (6) (2009)
Rod Adams, Lee Calcraft, Neil Davey
Using a genetic algorithm to investigate efficient connectivity in associative memories. Neurocomputing 72 (4-6) (2009)
Stephen P. Hunt, Yi Sun, Alexander V. Shafarenko, Rod Adams, Neil Davey, Brendan Slater, Ranjeet S. Bhamber, Sonia K. Boscolo, Sergei K. Turitsyn
Adaptive Electrical Signal Post-processing with Varying Representations in Optical Communication Systems. EANN (2009)
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)
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)
David Bowes, Rod Adams, Lola Cañamero, Volker Steuber, Neil Davey
The role of lateral inhibition in the sensory processing in a simulated spiking neural controller for a robot. ALIFE (2009)
Nicolas Oros, Volker Steuber, Neil Davey, Lola Cañamero, Rod Adams
Adaptive Olfactory Encoding in Agents Controlled by Spiking Neural Networks. SAB (2008)
Yi Sun, Gary P. Moss, Maria Prapopoulou, Rod Adams, Marc B. Brown, Neil Davey
Prediction of Skin Penetration Using Machine Learning Methods. ICDM (2008)
Lee Calcraft, Rod Adams, Neil Davey
Efficient connection strategies in 1D and 2D associative memory models with and without displaced connectivity. Biosyst. 94 (1-2) (2008)
Nicolas Oros, Volker Steuber, Neil Davey, Lola Cañamero, Rod Adams
Optimal noise in spiking neural networks for the detection of chemicals by simulated agents. ALIFE (2008)
Mark Robinson, Cristina González Castellano, Faisal Ibne Rezwan, Rod Adams, Neil Davey, Alistair G. Rust, Yi Sun
Combining experts in order to identify binding sites in yeast and mouse genomic data. Neural Networks 21 (6) (2008)
Lee Calcraft, Rod Adams, Weiliang Chen, Neil Davey
Using graph-theoretic measures to predict the performance of associative memory models. ESANN (2008)
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)
Weiliang Chen, Rod Adams, Lee Calcraft, Volker Steuber, Neil Davey
Connectivity graphs and the performance of sparse associative memory models. IJCNN (2008)
Lee Calcraft, Rod Adams, Neil Davey
Efficient architectures for sparsely-connected high capacity associative memory models. Connect. Sci. 19 (2) (2007)
Kevin Doherty, Rod Adams, Neil Davey
Unsupervised learning with normalised data and non-Euclidean norms. Appl. Soft Comput. 7 (1) (2007)
Yi Sun, Timothy S. Butler, Alexander V. Shafarenko, Rod Adams, Martin J. Loomes, Neil Davey
Word segmentation of handwritten text using supervised classification techniques. Appl. Soft Comput. 7 (1) (2007)
Yi Sun, Mark Robinson, Rod Adams, Neil Davey, Alistair G. Rust
Predicting Binding Sites in the Mouse Genome. ICMLA (2007)
Mark Robinson, Cristina González Castellano, Rod Adams, Neil Davey, Yi Sun
Identifying Binding Sites in Sequential Genomic Data. ICANN (2) (2007)
Lee Calcraft, Rod Adams, Neil Davey
Sparsely-connected associative memory models with displaced connectivity. ESANN (2007)
Rod Adams, Gabriel Nicolae, Cristina Nicolae, Sanda M. Harabagiu
Textual Entailment Through Extended Lexical Overlap and Lexico-Semantic Matching. ACL-PASCAL@ACL (2007)
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)
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)
Neil Davey, Lee Calcraft, Rod Adams
High capacity, small world associative memory models. Connect. Sci. 18 (3) (2006)
Lee Calcraft, Rod Adams, Neil Davey
Gaussian and exponential architectures in small-world associative memories. ESANN (2006)
Fiona M. Richardson, Neil Davey, John Done, Rod Adams
Learning through experience: an emergent connectionist account of letter production behaviour. Connect. Sci. 18 (3) (2006)
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)
Yi Sun, Mark Robinson, Rod Adams, Rene te Boekhorst, Alistair G. Rust, Neil Davey
Using sampling methods to improve binding site predictions. ESANN (2006)
Rod Adams, Lee Calcraft, Neil Davey
Evolved Patterns of Connectivity in Associative Memory Models. IEEE ICCI (2006)
Wanida Pensuwon, Rod Adams, Neil Davey, Wiroj Taweepworadej
Improving Radial Basis Function Networks for Human Face Recognition Using a Soft Computing Approach. SEAL (2006)
Kevin Doherty, Rod Adams, Neil Davey
Topological Correlation. ESANN (2006)
Kevin Doherty, Rod Adams, Neil Davey
TreeGNG - hierarchical topological clustering. ESANN (2005)
Rod Adams, Neil Davey, Paul Kaye, Wanida Pensuwon
Gene sequence data sets analysed using a hierarchical neural clusterer. Int. J. Syst. Sci. 36 (14) (2005)
Neil Davey, Stephen P. Hunt, Rod Adams
High capacity recurrent associative memories. Neurocomputing 62 (2004)
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)
Kevin Doherty, Rod Adams, Neil Davey
Non-Euclidean norms and data normalisation. ESANN (2004)
Neil Davey, Rod Adams
High capacity associative memories and connection constraints. Connect. Sci. 16 (1) (2004)
Wanida Pensuwon, Rod Adams, Neil Davey
Optimizing a Neural Tree Using Subtree Retraining. KES (2004)
Yi Sun, Timothy S. Butler, Alexander V. Shafarenko, Rod Adams, Martin J. Loomes, Neil Davey
Identifying word boundaries in handwrittem text. ICMLA (2004)
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) (2002)
Maria J. Schilstra, Alistair G. Rust, Rod Adams, Hamid Bolouri
A finite state automaton model for multi-neuron simulations. Neurocomputing (2002)
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)
Ken Tabb, Neil Davey, Rod Adams, Stella J. George
A Hybrid Detection and Classfication System for Human Motion Analysis. HIS (2001)
Wanida Pensuwon, Rod Adams, Neil Davey
The analysis of the addition of stochasticity to a neural tree classifier. Appl. Soft Comput. 1 (3) (2001)
Neil Davey, Rod Adams, Stella J. George
The Architecture and Performance of a Stochastic Competitive Evolutionary Neural Tree Network. Appl. Intell. 12 (1-2) (2000)
Wanida Pensuwon, Rod Adams, Neil Davey
Optimising a neural tree classifier using a genetic algorithm. KES (2000)
Ken Tabb, Neil Davey, Rod Adams, Stella J. George
Analysis of Human Motion Using Snakes and Neural Networks. AMDO (2000)
Rod Adams, Kate Butchart, Neil Davey
Hierarchical classification with a competitive evolutionary neural tree. Neural Networks 12 (3) (1999)
Zhengjun Pan, Theo Sabisch, Rod Adams, Hamid Bolouri
Staged training of Neocognitron by evolutionary algorithms. CEC (1999)
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)
Alistair G. Rust, Rod Adams, Stella J. George, Hamid Bolouri
Designing Development Rules for Artificial Evolution. ICANNGA (1997)
Kate Butchart, Neil Davey, Rod Adams
Hierarchical classification with a stochastic competitive evolutionary neural tree. ICNN (1996)
Rod Adams, Sue M. Gray
Using Conditional Execution to Exploit Instruction Level Concurrency Softw. Pract. Exp. 25 (9) (1995)
Kate Butchart, Neil Davey, Rod Adams
A Comparative Study of Three Neuronal Networks that use Soft Competition. IWANN (1995)
Rod Adams, Sue M. Gray, Gordon B. Steven
Harp: A Statically Scheduled Multiple-instruction Issue Architecture And Its Compiler. PDP (1994)
Fleur L. Steven, Rod Adams, Gordon B. Steven, L. Wang, D. J. Whale
Addressing mechanisms for VLIW and superscalar processors. Microprocess. Microprogramming 39 (2-5) (1993)
Sue M. Gray, Rod Adams, G. J. Green, Gordon B. Steven
Static instruction scheduling for the HARP multiple-instruction-issue architecture. Microprocess. Microsystems 17 (7) (1993)
Rod Adams, Gordon B. Steven
A parallel pipelined processor with conditional instruction execution. SIGARCH Comput. Archit. News 19 (1) (1991)
Rod Adams
RISC systems: Tabak, D Research Studies Press/ John Wiley, Chichester, UK (1990) £24 pp 300. Microprocess. Microsystems 14 (9) (1990)