Rod Adams

According to our database, Rod Adams authored at least 83 papers between 1990 and 2017.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2017

Error Correction over Optical Transmission.

Weam M. Binjumah, Alexey Redyuk, Rod Adams, Neil Davey, Yi Sun

Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, 2017

Investigating optical transmission error correction using wavelet transforms.

Weam M. Binjumah, Alexey Redyuk, Rod Adams, Neil Davey, Yi Sun

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

2015

Dendritic morphology predicts pattern recognition performance in multi-compartmental model neurons with and without active conductances.

Giseli de Sousa, Reinoud Maex, Rod Adams, Neil Davey, Volker Steuber

J. Comput. Neurosci., 2015

The importance of hyperparameters selection within small datasets.

Parivash Ashrafi, Yi Sun, Neil Davey, Rod Adams, Marc B. Brown, Maria Prapopoulou, Gary P. Moss

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014

Feature Selection Modelling for Percutaneous Absorption across Synthetic Membranes.

Weam M. Binjumah, Yi Sun, Mark Hewitt, Rod Adams, Neil Davey, Darren R. Gullick, Simon C. Wilkinson, Mark T. D. Cronin, Gary P. Moss

Proceedings of the 26th IEEE International Conference on Tools with Artificial Intelligence, 2014

2013

Linear Support Vector Machines for Error Correction in Optical Data Transmission.

Alex Metaxas, Alexei Redyuk, Yi Sun, Alexander V. Shafarenko, Neil Davey, Rod Adams

Proceedings of the Adaptive and Natural Computing Algorithms, 2013

Evolution of Dendritic Morphologies Using Deterministic and Nondeterministic Genotype to Phenotype Mapping.

Parimala Alva, Giseli de Sousa, Ben Torben-Nielsen, Reinoud Maex, Rod Adams, Neil Davey, Volker Steuber

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013

2012

The application of Gaussian processes in the predictions of permeability across mammalian and polydimethylsiloxane membranes.

Yi Sun, Rod Adams, Neil Davey, Gary P. Moss, Maria Prapopopolou, Marc B. Brown, Gary P. Martin, Simon C. Wilkinson

Artif. Intell. Res., 2012

Improving Transcription Factor Binding Site Predictions by Using Randomised Negative Examples.

Faisal Ibne Rezwan, Yi Sun, Neil Davey, Rod Adams, Alistair G. Rust, Mark Robinson

Proceedings of the Information Processign in Cells and Tissues, 2012

The Effect of Different Types of Synaptic Plasticity on the Performance of Associative Memory Networks with Excitatory and Inhibitory Sub-populations.

Alex Metaxas, Reinoud Maex, Volker Steuber, Rod Adams, Neil Davey

Proceedings of the Information Processign in Cells and Tissues, 2012

The Application of Gaussian Processes in the Predictions of Permeability across Mammalian Membranes.

Yi Sun, Marc B. Brown, Maria Prapopoulou, Rod Adams, Neil Davey, Gary P. Moss

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

Evolving Dendritic Morphology and Parameters in Biologically Realistic Model Neurons for Pattern Recognition.

Giseli de Sousa, Reinoud Maex, Rod Adams, Neil Davey, Volker Steuber

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

Using a Support Vector Machine and Sampling to Classify Compounds as Potential Transdermal Enhancers.

Alpa Shah, Gary P. Moss, Yi Sun, Rod Adams, Neil Davey, Simon C. Wilkinson

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

Using Varying Negative Examples to Improve Computational Predictions of Transcription Factor Binding Sites.

Faisal Ibne Rezwan, Yi Sun, Neil Davey, Rod Adams, Alistair G. Rust, Mark Robinson

Proceedings of the Engineering Applications of Neural Networks, 2012

2011

Clustering Predicts Memory Performance in Networks of Spiking and Non-Spiking Neurons.

Weiliang Chen, Reinoud Maex, Rod Adams, Volker Steuber, Lee Calcraft, Neil Davey

Frontiers Comput. Neurosci., 2011

The application of stochastic machine learning methods in the prediction of skin penetration.

Yi Sun, Marc B. Brown, Maria Prapopoulou, Neil Davey, Rod Adams, Gary P. Moss

Appl. Soft Comput., 2011

Effect of Using Varying Negative Examples in Transcription Factor Binding Site Predictions.

Faisal Ibne Rezwan, Yi Sun, Neil Davey, Rod Adams, Alistair G. Rust, Mark Robinson

Proceedings of the Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 2011

2010

Predicting drug absorption rates through human skin.

Yi Sun, Lun Tak Lam, Gary P. Moss, Maria Prapopoulou, Rod Adams, Neil Davey, David Gray, Marc B. Brown

Proceedings of the International Joint Conference on Neural Networks, 2010

Using Randomised Vectors in Transcription Factor Binding Site Predictions.

Faisal Ibne Rezwan, Yi Sun, Neil Davey, Rod Adams, Alistair G. Rust, Mark Robinson

Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

Correcting Errors in Optical Data Transmission Using Neural Networks.

Stephen P. Hunt, Yi Sun, Alexander V. Shafarenko, Rod Adams, Neil Davey, Brendan Slater, Ranjeet S. Bhamber, Sonia K. Boscolo, Sergei K. Turitsyn

Proceedings of the Artificial Neural Networks, 2010

The Application of Gaussian Processes in the Prediction of Percutaneous Absorption for Mammalian and Synthetic Membranes.

Yi Sun, Gary P. Moss, Maria Prapopoulou, Rod Adams, Marc B. Brown, Neil Davey

Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

2009

Using pre & post-processing methods to improve binding site predictions.

Yi Sun, Cristina González Castellano, Mark Robinson, Rod Adams, Alistair G. Rust, Neil Davey

Pattern Recognit., 2009

Integrating genomic binding site predictions using real-valued meta classifiers.

Yi Sun, Mark Robinson, Rod Adams, Rene te Boekhorst, Alistair G. Rust, Neil Davey

Neural Comput. Appl., 2009

Using a genetic algorithm to investigate efficient connectivity in associative memories.

Rod Adams, Lee Calcraft, Neil Davey

Neurocomputing, 2009

Evolution of bilateral symmetry in agents controlled by spiking neural networks.

Nicolas Oros, Volker Steuber, Neil Davey, Lola Cañamero, Rod Adams

Proceedings of the 2009 IEEE Symposium on Artificial Life, 2009

The role of lateral inhibition in the sensory processing in a simulated spiking neural controller for a robot.

David Bowes, Rod Adams, Lola Cañamero, Volker Steuber, Neil Davey

Proceedings of the 2009 IEEE Symposium on Artificial Life, 2009

The Effect of Different Forms of Synaptic Plasticity on Pattern Recognition in the Cerebellar Cortex.

Giseli de Sousa, Rod Adams, Neil Davey, Reinoud Maex, Volker Steuber

Proceedings of the Adaptive and Natural Computing Algorithms, 9th International Conference, 2009

Connection Strategies in Associative Memory Models with Spiking and Non-spiking Neurons.

Weiliang Chen, Reinoud Maex, Rod Adams, Volker Steuber, Lee Calcraft, Neil Davey

Proceedings of the Adaptive and Natural Computing Algorithms, 9th International Conference, 2009

Connection strategy and performance in sparsely connected 2D associative memory models with non-random images.

Lee Calcraft, Rod Adams, Neil Davey

Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009

Adaptive Electrical Signal Post-processing with Varying Representations in Optical Communication Systems.

Stephen P. Hunt, Yi Sun, Alexander V. Shafarenko, Rod Adams, Neil Davey, Brendan Slater, Ranjeet S. Bhamber, Sonia K. Boscolo, Sergei K. Turitsyn

Proceedings of the Engineering Applications of Neural Networks, 2009

2008

Combining experts in order to identify binding sites in yeast and mouse genomic data.

Mark Robinson, Cristina González Castellano, Faisal Ibne Rezwan, Rod Adams, Neil Davey, Alistair G. Rust, Yi Sun

Neural Networks, 2008

Efficient connection strategies in 1D and 2D associative memory models with and without displaced connectivity.

Lee Calcraft, Rod Adams, Neil Davey

Biosyst., 2008

Adaptive Olfactory Encoding in Agents Controlled by Spiking Neural Networks.

Nicolas Oros, Volker Steuber, Neil Davey, Lola Cañamero, Rod Adams

Proceedings of the From Animals to Animats 10, 2008

Connectivity graphs and the performance of sparse associative memory models.

Weiliang Chen, Rod Adams, Lee Calcraft, Volker Steuber, Neil Davey

Proceedings of the International Joint Conference on Neural Networks, 2008

Prediction of Skin Penetration Using Machine Learning Methods.

Yi Sun, Gary P. Moss, Maria Prapopoulou, Rod Adams, Marc B. Brown, Neil Davey

Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Prediction of Binding Sites in the Mouse Genome Using Support Vector Machines.

Yi Sun, Mark Robinson, Rod Adams, Alistair G. Rust, Neil Davey

Proceedings of the Artificial Neural Networks, 2008

Using graph-theoretic measures to predict the performance of associative memory models.

Lee Calcraft, Rod Adams, Weiliang Chen, Neil Davey

Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

Optimal noise in spiking neural networks for the detection of chemicals by simulated agents.

Nicolas Oros, Volker Steuber, Neil Davey, Lola Cañamero, Rod Adams

Proceedings of the Eleventh International Conference on the Synthesis and Simulation of Living Systems, 2008

2007

Efficient architectures for sparsely-connected high capacity associative memory models.

Lee Calcraft, Rod Adams, Neil Davey

Connect. Sci., 2007

Word segmentation of handwritten text using supervised classification techniques.

Yi Sun, Timothy S. Butler, Alexander V. Shafarenko, Rod Adams, Martin J. Loomes, Neil Davey

Appl. Soft Comput., 2007

Unsupervised learning with normalised data and non-Euclidean norms.

Kevin A. J. Doherty, Rod Adams, Neil Davey

Appl. Soft Comput., 2007

Predicting Binding Sites in the Mouse Genome.

Yi Sun, Mark Robinson, Rod Adams, Neil Davey, Alistair G. Rust

Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007

Using Real-Valued Meta Classifiers to Integrate and Contextualize Binding Site Predictions.

Mark Robinson, Offer Sharabi, Yi Sun, Rod Adams, Rene te Boekhorst, Alistair G. Rust, Neil Davey

Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007

Identifying Binding Sites in Sequential Genomic Data.

Mark Robinson, Cristina González Castellano, Rod Adams, Neil Davey, Yi Sun

Proceedings of the Artificial Neural Networks, 2007

Sparsely-connected associative memory models with displaced connectivity.

Lee Calcraft, Rod Adams, Neil Davey

Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007

Textual Entailment Through Extended Lexical Overlap and Lexico-Semantic Matching.

Rod Adams, Gabriel Nicolae, Cristina Nicolae, Sanda M. Harabagiu

Proceedings of the ACL-PASCAL@ACL 2007 Workshop on Textual Entailment and Paraphrasing, 2007

2006

Learning through experience: an emergent connectionist account of letter production behaviour.

Fiona M. Richardson, Neil Davey, John Done, Rod Adams

Connect. Sci., 2006

High capacity, small world associative memory models.

Neil Davey, Lee Calcraft, Rod Adams

Connect. Sci., 2006

Improving Radial Basis Function Networks for Human Face Recognition Using a Soft Computing Approach.

Wanida Pensuwon, Rod Adams, Neil Davey, Wiroj Taweepworadej

Proceedings of the Simulated Evolution and Learning, 6th International Conference, 2006

Improving Computational Predictions of Cis- Regulatory Binding Sites.

Mark Robinson, Yi Sun, Rene te Boekhorst, Paul Kaye, Rod Adams, Neil Davey, Alistair G. Rust

Proceedings of the Biocomputing 2006, 2006

Using sampling methods to improve binding site predictions.

Yi Sun, Mark Robinson, Rod Adams, Rene te Boekhorst, Alistair G. Rust, Neil Davey

Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

Topological Correlation.

Kevin A. J. Doherty, Rod Adams, Neil Davey

Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

Gaussian and exponential architectures in small-world associative memories.

Lee Calcraft, Rod Adams, Neil Davey

Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

Using Feature Selection Filtering Methods for Binding Site Predictions.

Yi Sun, Mark Robinson, Rod Adams, Rene te Boekhorst, Alistair G. Rust, Neil Davey

Proceedings of the Firth IEEE International Conference on Cognitive Informatics, 2006

Evolved Patterns of Connectivity in Associative Memory Models.

Rod Adams, Lee Calcraft, Neil Davey

Proceedings of the Firth IEEE International Conference on Cognitive Informatics, 2006

2005

Gene sequence data sets analysed using a hierarchical neural clusterer.

Rod Adams, Neil Davey, Paul Kaye, Wanida Pensuwon

Int. J. Syst. Sci., 2005

TreeGNG - hierarchical topological clustering.

Kevin A. J. Doherty, Rod Adams, Neil Davey

Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005

2004

High capacity recurrent associative memories.

Neil Davey, Stephen P. Hunt, Rod Adams

Neurocomputing, 2004

High capacity associative memories and connection constraints.

Neil Davey, Rod Adams

Connect. Sci., 2004

Optimizing a Neural Tree Using Subtree Retraining.

Wanida Pensuwon, Rod Adams, Neil Davey

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004

Identifying word boundaries in handwrittem text.

Yi Sun, Timothy S. Butler, Alexander V. Shafarenko, Rod Adams, Martin J. Loomes, Neil Davey

Proceedings of the 2004 International Conference on Machine Learning and Applications, 2004

Non-Euclidean norms and data normalisation.

Kevin A. J. Doherty, Rod Adams, Neil Davey

Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004

Integrating Binding Site Predictions Using Non-linear Classification Methods.

Yi Sun, Mark Robinson, Rod Adams, Paul Kaye, Alistair G. Rust, Neil Davey

Proceedings of the Deterministic and Statistical Methods in Machine Learning, 2004

2002

The recognition and analysis of animate objects using neural networks and active contour models.

Ken Tabb, Neil Davey, Rod Adams, Stella J. George

Neurocomputing, 2002

A finite state automaton model for multi-neuron simulations.

Maria J. Schilstra, Alistair G. Rust, Rod Adams, Hamid Bolouri

Neurocomputing, 2002

2001

The analysis of the addition of stochasticity to a neural tree classifier.

Wanida Pensuwon, Rod Adams, Neil Davey

Appl. Soft Comput., 2001

Towards Computational Neural Systems through Developmental Evolution.

Alistair G. Rust, Rod Adams, Stella J. George, Hamid Bolouri

Proceedings of the Emergent Neural Computational Architectures Based on Neuroscience, 2001

A Hybrid Detection and Classfication System for Human Motion Analysis.

Ken Tabb, Neil Davey, Rod Adams, Stella J. George

Proceedings of the Hybrid Information Systems, 2001

2000

The Architecture and Performance of a Stochastic Competitive Evolutionary Neural Tree Network.

Neil Davey, Rod Adams, Stella J. George

Appl. Intell., 2000

Optimising a neural tree classifier using a genetic algorithm.

Wanida Pensuwon, Rod Adams, Neil Davey

Proceedings of the Fourth International Conference on Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies, 2000

Analysis of Human Motion Using Snakes and Neural Networks.

Ken Tabb, Neil Davey, Rod Adams, Stella J. George

Proceedings of the Articulated Motion and Deformable Objects, First International Workshop, 2000

1999

Hierarchical classification with a competitive evolutionary neural tree.

Rod Adams, Kate Butchart, Neil Davey

Neural Networks, 1999

Staged training of Neocognitron by evolutionary algorithms.

Zhengjun Pan, Theo Sabisch, Rod Adams, Hamid Bolouri

Proceedings of the 1999 Congress on Evolutionary Computation, 1999

1998

Molecular Self-Organization in the Development Model for the Evolution of Large-scale Artificial Neural Networks.

Hamid Bolouri, Rod Adams, Stella J. George, Alistair G. Rust

Proceedings of the Fifth International Conference on Neural Information Processing, 1998

1997

Designing Development Rules for Artificial Evolution.

Alistair G. Rust, Rod Adams, Stella J. George, Hamid Bolouri

Proceedings of the International Conference on Artificial Neural Nets and Genetic Algorithms, 1997

1996

Hierarchical classification with a stochastic competitive evolutionary neural tree.

Kate Butchart, Neil Davey, Rod Adams

Proceedings of International Conference on Neural Networks (ICNN'96), 1996

1995

Using Conditional Execution to Exploit Instruction Level Concurrency

Rod Adams, Sue M. Gray

Softw. Pract. Exp., 1995

A Comparative Study of Three Neuronal Networks that use Soft Competition.

Kate Butchart, Neil Davey, Rod Adams

Proceedings of the From Natural to Artificial Neural Computation, 1995

1994

Harp: A Statically Scheduled Multiple-instruction Issue Architecture And Its Compiler.

Rod Adams, Sue M. Gray, Gordon B. Steven

Proceedings of the Second Euromicro Workshop on Parallel and Distributed Processing, 1994

1993

Static instruction scheduling for the HARP multiple-instruction-issue architecture.

Sue M. Gray, Rod Adams, G. J. Green, Gordon B. Steven

Microprocess. Microsystems, 1993

Addressing mechanisms for VLIW and superscalar processors.

Fleur L. Steven, Rod Adams, Gordon B. Steven, L. Wang, D. J. Whale

Microprocess. Microprogramming, 1993

1991

A parallel pipelined processor with conditional instruction execution.

Rod Adams, Gordon B. Steven

SIGARCH Comput. Archit. News, 1991

1990

RISC systems: Tabak, D Research Studies Press/ John Wiley, Chichester, UK (1990) £24 pp 300.

Rod Adams

Microprocess. Microsystems, 1990