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

A parallel pipelined processor with conditional instruction execution. - Rod Adams; Gordon B. Steven (SIGARCH Comput. Archit. News, 1991)

Addressing mechanisms for VLIW and superscalar processors. - Fleur L. Steven; Rod Adams; Gordon B. Steven; L. Wang; D. J. Whale (Microprocess. Microprogramming, 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)

Harp: A Statically Scheduled Multiple-instruction Issue Architecture And Its Compiler. - Rod Adams; Sue M. Gray; Gordon B. Steven (PDP, 1994)

A Comparative Study of Three Neuronal Networks that use Soft Competition. - Kate Butchart; Neil Davey; Rod Adams (IWANN, 1995)

Using Conditional Execution to Exploit Instruction Level Concurrency - Rod Adams; Sue M. Gray (Softw. Pract. Exp., 1995)

Hierarchical classification with a stochastic competitive evolutionary neural tree. - Kate Butchart; Neil Davey; Rod Adams (ICNN, 1996)

An Investigation into the Performance and Representations of a Stochastic, Evolutionary Neural Tree. - Kate Butchart; Neil Davey; Rod Adams (ICANNGA, 1997)

Designing Development Rules for Artificial Evolution. - Alistair G. Rust; Rod Adams; Stella J. George; Hamid Bolouri (ICANNGA, 1997)

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 (ICONIP, 1998)

Staged training of Neocognitron by evolutionary algorithms. - Zhengjun Pan; Theo Sabisch; Rod Adams; Hamid Bolouri (CEC, 1999)

Hierarchical classification with a competitive evolutionary neural tree. - Rod Adams; Kate Butchart; Neil Davey (Neural Networks, 1999)

Analysis of Human Motion Using Snakes and Neural Networks. - Ken Tabb; Neil Davey; Rod Adams; Stella J. George (AMDO, 2000)

Optimising a neural tree classifier using a genetic algorithm. - Wanida Pensuwon; Rod Adams; Neil Davey (KES, 2000)

The Architecture and Performance of a Stochastic Competitive Evolutionary Neural Tree Network. - Neil Davey; Rod Adams; Stella J. George (Appl. Intell., 2000)

A Hybrid Detection and Classfication System for Human Motion Analysis. - Ken Tabb; Neil Davey; Rod Adams; Stella J. George (HIS, 2001)

Towards Computational Neural Systems through Developmental Evolution. - Alistair G. Rust; Rod Adams; Stella J. George; Hamid Bolouri (Emergent Neural Computational Architectures Based on Neuroscience, 2001)

The analysis of the addition of stochasticity to a neural tree classifier. - Wanida Pensuwon; Rod Adams; Neil Davey (Appl. Soft Comput., 2001)

A finite state automaton model for multi-neuron simulations. - Maria J. Schilstra; Alistair G. Rust; Rod Adams; Hamid Bolouri (Neurocomputing, 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)

Integrating Binding Site Predictions Using Non-linear Classification Methods. - Yi Sun 001; Mark Robinson; Rod Adams; Paul Kaye; Alistair G. Rust; Neil Davey (Deterministic and Statistical Methods in Machine Learning, 2004)

Non-Euclidean norms and data normalisation. - Kevin A. J. Doherty; Rod Adams; Neil Davey (ESANN, 2004)

Identifying word boundaries in handwrittem text. - Yi Sun 001; Timothy S. Butler; Alexander V. Shafarenko; Rod Adams; Martin J. Loomes; Neil Davey (ICMLA, 2004)

Design of spatially extended neural networks for specific applications. - Rod Adams; Rene te Boekhorst; Alistair G. Rust; Paul Kaye; Maria J. Schilstra (IJCNN, 2004)

High capacity associative memories and small world networks. - Neil Davey; Bruce Christianson; Rod Adams (IJCNN, 2004)

Segmenting handwritten text using supervised classification techniques. - Yi Sun 001; Timothy S. Butler; Alex Shafarenko; Rod Adams; Martin J. Loomes; Neil Davey (IJCNN, 2004)

Optimizing a Neural Tree Using Subtree Retraining. - Wanida Pensuwon; Rod Adams; Neil Davey (KES, 2004)

High capacity associative memories and connection constraints. - Neil Davey; Rod Adams (Connect. Sci., 2004)

High capacity recurrent associative memories. - Neil Davey; Stephen P. Hunt; Rod Adams (Neurocomputing, 2004)

TreeGNG - hierarchical topological clustering. - Kevin A. J. Doherty; Rod Adams; Neil Davey (ESANN, 2005)

Evolving high capacity associative memories with efficient wiring. - Rod Adams; Lee Calcraft; Neil Davey (IJCNN, 2005)

Using real-valued meta classifiers to integrate binding site predictions. - Yi Sun 001; Mark Robinson; Rod Adams; Paul Kaye; Alistair G. Rust; Neil Davey (IJCNN, 2005)

Gene sequence data sets analysed using a hierarchical neural clusterer. - Rod Adams; Neil Davey; Paul Kaye; Wanida Pensuwon (Int. J. Syst. Sci., 2005)

Evolved Patterns of Connectivity in Associative Memory Models. - Rod Adams; Lee Calcraft; Neil Davey (IEEE ICCI, 2006)

Using Feature Selection Filtering Methods for Binding Site Predictions. - Yi Sun 001; Mark Robinson; Rod Adams; Rene te Boekhorst; Alistair G. Rust; Neil Davey (IEEE ICCI, 2006)

Gaussian and exponential architectures in small-world associative memories. - Lee Calcraft; Rod Adams; Neil Davey (ESANN, 2006)

Topological Correlation. - Kevin A. J. Doherty; Rod Adams; Neil Davey (ESANN, 2006)

Using sampling methods to improve binding site predictions. - Yi Sun 001; Mark Robinson; Rod Adams; Rene te Boekhorst; Alistair G. Rust; Neil Davey (ESANN, 2006)

Improving Computational Predictions of Cis- Regulatory Binding Sites. - Mark Robinson; Yi Sun 001; Rene te Boekhorst; Paul Kaye; Rod Adams; Neil Davey; Alistair G. Rust (Pacific Symposium on Biocomputing, 2006)

Improving Radial Basis Function Networks for Human Face Recognition Using a Soft Computing Approach. - Wanida Pensuwon; Rod Adams; Neil Davey; Wiroj Taweepworadej (SEAL, 2006)

High capacity, small world associative memory models. - Neil Davey; Lee Calcraft; Rod Adams (Connect. Sci., 2006)

Learning through experience: an emergent connectionist account of letter production behaviour. - Fiona M. Richardson; Neil Davey; John Done; Rod Adams (Connect. Sci., 2006)

Textual Entailment Through Extended Lexical Overlap and Lexico-Semantic Matching. - Rod Adams; Gabriel Nicolae; Cristina Nicolae; Sanda M. Harabagiu (ACL-PASCAL@ACL, 2007)

Sparsely-connected associative memory models with displaced connectivity. - Lee Calcraft; Rod Adams; Neil Davey (ESANN, 2007)

Identifying Binding Sites in Sequential Genomic Data. - Mark Robinson; Cristina González Castellano; Rod Adams; Neil Davey; Yi Sun 001 (ICANN (2), 2007)

Using Real-Valued Meta Classifiers to Integrate and Contextualize Binding Site Predictions. - Mark Robinson; Offer Sharabi; Yi Sun 001; Rod Adams; Rene te Boekhorst; Alistair G. Rust; Neil Davey (ICANNGA (1), 2007)

Predicting Binding Sites in the Mouse Genome. - Yi Sun 001; Mark Robinson; Rod Adams; Neil Davey; Alistair G. Rust (ICMLA, 2007)

Unsupervised learning with normalised data and non-Euclidean norms. - Kevin A. J. Doherty; Rod Adams; Neil Davey (Appl. Soft Comput., 2007)

Word segmentation of handwritten text using supervised classification techniques. - Yi Sun 001; Timothy S. Butler; Alexander V. Shafarenko; Rod Adams; Martin J. Loomes; Neil Davey (Appl. Soft Comput., 2007)

Efficient architectures for sparsely-connected high capacity associative memory models. - Lee Calcraft; Rod Adams; Neil Davey (Connect. Sci., 2007)

Optimal noise in spiking neural networks for the detection of chemicals by simulated agents. - Nicolas Oros; Volker Steuber; Neil Davey; Lola Cañamero; Rod Adams (ALIFE, 2008)

Using graph-theoretic measures to predict the performance of associative memory models. - Lee Calcraft; Rod Adams; Weiliang Chen; Neil Davey (ESANN, 2008)

Prediction of Binding Sites in the Mouse Genome Using Support Vector Machines. - Yi Sun 001; Mark Robinson; Rod Adams; Alistair G. Rust; Neil Davey (ICANN (2), 2008)

Prediction of Skin Penetration Using Machine Learning Methods. - Yi Sun 001; Gary P. Moss; Maria Prapopoulou; Rod Adams; Marc B. Brown; Neil Davey (ICDM, 2008)

Connectivity graphs and the performance of sparse associative memory models. - Weiliang Chen; Rod Adams; Lee Calcraft; Volker Steuber; Neil Davey (IJCNN, 2008)

Adaptive Olfactory Encoding in Agents Controlled by Spiking Neural Networks. - Nicolas Oros; Volker Steuber; Neil Davey; Lola Cañamero; Rod Adams (SAB, 2008)

Efficient connection strategies in 1D and 2D associative memory models with and without displaced connectivity. - Lee Calcraft; Rod Adams; Neil Davey (Biosyst., 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 001 (Neural Networks, 2008)

Adaptive Electrical Signal Post-processing with Varying Representations in Optical Communication Systems. - Stephen P. Hunt; Yi Sun 001; Alexander V. Shafarenko; Rod Adams; Neil Davey; Brendan Slater; Ranjeet S. Bhamber; Sonia K. Boscolo; Sergei K. Turitsyn (EANN, 2009)

Connection strategy and performance in sparsely connected 2D associative memory models with non-random images. - Lee Calcraft; Rod Adams; Neil Davey (ESANN, 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 (ICANNGA, 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 (ICANNGA, 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 (ALIFE, 2009)

Evolution of bilateral symmetry in agents controlled by spiking neural networks. - Nicolas Oros; Volker Steuber; Neil Davey; Lola Cañamero; Rod Adams (ALIFE, 2009)

Using a genetic algorithm to investigate efficient connectivity in associative memories. - Rod Adams; Lee Calcraft; Neil Davey (Neurocomputing, 2009)

Integrating genomic binding site predictions using real-valued meta classifiers. - Yi Sun 001; Mark Robinson; Rod Adams; Rene te Boekhorst; Alistair G. Rust; Neil Davey (Neural Comput. Appl., 2009)

Using pre & post-processing methods to improve binding site predictions. - Yi Sun 001; Cristina González Castellano; Mark Robinson; Rod Adams; Alistair G. Rust; Neil Davey (Pattern Recognit., 2009)

The Application of Gaussian Processes in the Prediction of Percutaneous Absorption for Mammalian and Synthetic Membranes. - Yi Sun 001; Gary P. Moss; Maria Prapopoulou; Rod Adams; Marc B. Brown; Neil Davey (ESANN, 2010)

Correcting Errors in Optical Data Transmission Using Neural Networks. - Stephen P. Hunt; Yi Sun 001; Alexander V. Shafarenko; Rod Adams; Neil Davey; Brendan Slater; Ranjeet S. Bhamber; Sonia K. Boscolo; Sergei K. Turitsyn (ICANN (2), 2010)

Using Randomised Vectors in Transcription Factor Binding Site Predictions. - Faisal Ibne Rezwan; Yi Sun 001; Neil Davey; Rod Adams; Alistair G. Rust; Mark Robinson (ICMLA, 2010)

Predicting drug absorption rates through human skin. - Yi Sun 001; Lun Tak Lam; Gary P. Moss; Maria Prapopoulou; Rod Adams; Neil Davey; David Gray; Marc B. Brown (IJCNN, 2010)

Effect of Using Varying Negative Examples in Transcription Factor Binding Site Predictions. - Faisal Ibne Rezwan; Yi Sun 001; Neil Davey; Rod Adams; Alistair G. Rust; Mark Robinson (EvoBio, 2011)

The application of stochastic machine learning methods in the prediction of skin penetration. - Yi Sun 001; Marc B. Brown; Maria Prapopoulou; Neil Davey; Rod Adams; Gary P. Moss (Appl. Soft Comput., 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)

Using Varying Negative Examples to Improve Computational Predictions of Transcription Factor Binding Sites. - Faisal Ibne Rezwan; Yi Sun 001; Neil Davey; Rod Adams; Alistair G. Rust; Mark Robinson (EANN, 2012)

Using a Support Vector Machine and Sampling to Classify Compounds as Potential Transdermal Enhancers. - Alpa Shah; Gary P. Moss; Yi Sun 001; Rod Adams; Neil Davey; Simon C. Wilkinson (ICANN (2), 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 (ICANN (1), 2012)

The Application of Gaussian Processes in the Predictions of Permeability across Mammalian Membranes. - Yi Sun 001; Marc B. Brown; Maria Prapopoulou; Rod Adams; Neil Davey; Gary P. Moss (ICANN (2), 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 (IPCAT, 2012)

Improving Transcription Factor Binding Site Predictions by Using Randomised Negative Examples. - Faisal Ibne Rezwan; Yi Sun 001; Neil Davey; Rod Adams; Alistair G. Rust; Mark Robinson (IPCAT, 2012)

The application of Gaussian processes in the predictions of permeability across mammalian and polydimethylsiloxane membranes. - Yi Sun 001; Rod Adams; Neil Davey; Gary P. Moss; Maria Prapopopolou; Marc B. Brown; Gary P. Martin; Simon C. Wilkinson (Artif. Intell. Res., 2012)

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 (ICANN, 2013)

Linear Support Vector Machines for Error Correction in Optical Data Transmission. - Alex Metaxas; Alexei Redyuk; Yi Sun 001; Alexander V. Shafarenko; Neil Davey; Rod Adams (ICANNGA, 2013)

Feature Selection Modelling for Percutaneous Absorption across Synthetic Membranes. - Weam M. Binjumah; Yi Sun 001; Mark Hewitt; Rod Adams; Neil Davey; Darren R. Gullick; Simon C. Wilkinson; Mark T. D. Cronin; Gary P. Moss (ICTAI, 2014)

The importance of hyperparameters selection within small datasets. - Parivash Ashrafi; Yi Sun 001; Neil Davey; Rod Adams; Marc B. Brown; Maria Prapopoulou; Gary P. Moss (IJCNN, 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)

Investigating optical transmission error correction using wavelet transforms. - Weam M. Binjumah; Alexey Redyuk; Rod Adams; Neil Davey; Yi Sun 001 (ESANN, 2017)

Error Correction over Optical Transmission. - Weam M. Binjumah; Alexey Redyuk; Rod Adams; Neil Davey; Yi Sun 001 (ICPRAM, 2017)

Estimation of Microphysical Parameters of Atmospheric Pollution Using Machine Learning. - Cosme Llerena; Detlef Müller; Rod Adams; Neil Davey; Yi Sun 001 (ICANN (1), 2018)

Growth rules for the repair of Asynchronous Irregular neuronal networks after peripheral lesions. - Ankur Sinha 002; Christoph Metzner; Neil Davey; Rod Adams; Michael Schmuker; Volker Steuber (PLoS Comput. Biol., 2021)

Sentiment Analysis using BLSTM-ResNet on Textual Images. - Harpreet Singh; Na Helian; Rod Adams; Yi Sun 001 (IJCNN, 2022)

Using BERT to Generate Contextualised Textual Images for Sentiment Analysis. - Harpreet Singh; Na Helian; Rod Adams; Yi Sun 001 (ICAISC (1), 2024)