Rod Adams - RankMe

94 papers A* 1B 24C 12Misc 2Journal 28Unranked 26

Year	Rank	Type	Title / Venue / Authors
2025	—	`book`	A Mathematical Introduction to Data Science Yi Sun, Rod Adams
2024	—	`conf`	Using BERT to Generate Contextualised Textual Images for Sentiment Analysis. ICAISC (1) Harpreet Singh, Na Helian, Rod Adams, Yi Sun
2022	B	`conf`	Sentiment Analysis using BLSTM-ResNet on Textual Images. IJCNN Harpreet Singh, Na Helian, Rod Adams, Yi Sun
2021	J	`jnl`	Growth rules for the repair of Asynchronous Irregular neuronal networks after peripheral lesions. PLoS Comput. Biol. Ankur Sinha, Christoph Metzner, Neil Davey, Rod Adams, Michael Schmuker, Volker Steuber
2018	—	`conf`	Estimation of Microphysical Parameters of Atmospheric Pollution Using Machine Learning. ICANN (1) Cosme Llerena, Detlef Müller, Rod Adams, Neil Davey, Yi Sun
2017	C	`conf`	Error Correction over Optical Transmission. ICPRAM Weam M. Binjumah, Alexey Redyuk, Rod Adams, Neil Davey, Yi Sun
2017	B	`conf`	Investigating optical transmission error correction using wavelet transforms. ESANN Weam M. Binjumah, Alexey Redyuk, Rod Adams, Neil Davey, Yi Sun
2015	J	`jnl`	Dendritic morphology predicts pattern recognition performance in multi-compartmental model neurons with and without active conductances. J. Comput. Neurosci. Giseli de Sousa, Reinoud Maex, Rod Adams, Neil Davey, Volker Steuber
2015	B	`conf`	The importance of hyperparameters selection within small datasets. IJCNN Parivash Ashrafi, Yi Sun, Neil Davey, Rod Adams, Marc B. Brown, Maria Prapopoulou, Gary P. Moss
2014	B	`conf`	Feature Selection Modelling for Percutaneous Absorption across Synthetic Membranes. ICTAI Weam M. Binjumah, Yi Sun, Mark Hewitt, Rod Adams, Neil Davey, Darren R. Gullick, Simon C. Wilkinson, Mark T. D. Cronin, Gary P. Moss
2013	C	`conf`	Evolution of Dendritic Morphologies Using Deterministic and Nondeterministic Genotype to Phenotype Mapping. ICANN Parimala Alva, Giseli de Sousa, Ben Torben-Nielsen, Reinoud Maex, Rod Adams, Neil Davey, Volker Steuber
2013	—	`conf`	Linear Support Vector Machines for Error Correction in Optical Data Transmission. ICANNGA Alex Metaxas, Alexei Redyuk, Yi Sun, Alexander V. Shafarenko, Neil Davey, Rod Adams
2012	—	`conf`	Evolving Dendritic Morphology and Parameters in Biologically Realistic Model Neurons for Pattern Recognition. ICANN (1) Giseli de Sousa, Reinoud Maex, Rod Adams, Neil Davey, Volker Steuber
2012	—	`conf`	Improving Transcription Factor Binding Site Predictions by Using Randomised Negative Examples. IPCAT Faisal Ibne Rezwan, Yi Sun, Neil Davey, Rod Adams, Alistair G. Rust, Mark Robinson
2012	—	`conf`	The Application of Gaussian Processes in the Predictions of Permeability across Mammalian Membranes. ICANN (2) Yi Sun, Marc B. Brown, Maria Prapopoulou, Rod Adams, Neil Davey, Gary P. Moss
2012	—	`conf`	The Effect of Different Types of Synaptic Plasticity on the Performance of Associative Memory Networks with Excitatory and Inhibitory Sub-populations. IPCAT Alex Metaxas, Reinoud Maex, Volker Steuber, Rod Adams, Neil Davey
2012	J	`jnl`	The application of Gaussian processes in the predictions of permeability across mammalian and polydimethylsiloxane membranes. Artif. Intell. Res. Yi Sun, Rod Adams, Neil Davey, Gary P. Moss, Maria Prapopopolou, Marc B. Brown, Gary P. Martin, Simon C. Wilkinson
2012	C	`conf`	Using Varying Negative Examples to Improve Computational Predictions of Transcription Factor Binding Sites. EANN Faisal Ibne Rezwan, Yi Sun, Neil Davey, Rod Adams, Alistair G. Rust, Mark Robinson
2012	—	`conf`	Using a Support Vector Machine and Sampling to Classify Compounds as Potential Transdermal Enhancers. ICANN (2) Alpa Shah, Gary P. Moss, Yi Sun, Rod Adams, Neil Davey, Simon C. Wilkinson
2011	J	`jnl`	Clustering Predicts Memory Performance in Networks of Spiking and Non-Spiking Neurons. Frontiers Comput. Neurosci. Weiliang Chen, Reinoud Maex, Rod Adams, Volker Steuber, Lee Calcraft, Neil Davey
2011	—	`conf`	Effect of Using Varying Negative Examples in Transcription Factor Binding Site Predictions. EvoBio Faisal Ibne Rezwan, Yi Sun, Neil Davey, Rod Adams, Alistair G. Rust, Mark Robinson
2011	J	`jnl`	The application of stochastic machine learning methods in the prediction of skin penetration. Appl. Soft Comput. Yi Sun, Marc B. Brown, Maria Prapopoulou, Neil Davey, Rod Adams, Gary P. Moss
2010	—	`conf`	Correcting Errors in Optical Data Transmission Using Neural Networks. ICANN (2) Stephen P. Hunt, Yi Sun, Alexander V. Shafarenko, Rod Adams, Neil Davey, Brendan Slater, Ranjeet S. Bhamber, Sonia K. Boscolo, Sergei K. Turitsyn
2010	B	`conf`	Predicting drug absorption rates through human skin. IJCNN Yi Sun, Lun Tak Lam, Gary P. Moss, Maria Prapopoulou, Rod Adams, Neil Davey, David Gray, Marc B. Brown
2010	B	`conf`	The Application of Gaussian Processes in the Prediction of Percutaneous Absorption for Mammalian and Synthetic Membranes. ESANN Yi Sun, Gary P. Moss, Maria Prapopoulou, Rod Adams, Marc B. Brown, Neil Davey
2010	C	`conf`	Using Randomised Vectors in Transcription Factor Binding Site Predictions. ICMLA Faisal Ibne Rezwan, Yi Sun, Neil Davey, Rod Adams, Alistair G. Rust, Mark Robinson
2009	C	`conf`	Adaptive Electrical Signal Post-processing with Varying Representations in Optical Communication Systems. EANN Stephen P. Hunt, Yi Sun, Alexander V. Shafarenko, Rod Adams, Neil Davey, Brendan Slater, Ranjeet S. Bhamber, Sonia K. Boscolo, Sergei K. Turitsyn
2009	—	`conf`	Connection Strategies in Associative Memory Models with Spiking and Non-spiking Neurons. ICANNGA Weiliang Chen, Reinoud Maex, Rod Adams, Volker Steuber, Lee Calcraft, Neil Davey
2009	B	`conf`	Connection strategy and performance in sparsely connected 2D associative memory models with non-random images. ESANN Lee Calcraft, Rod Adams, Neil Davey
2009	C	`conf`	Evolution of bilateral symmetry in agents controlled by spiking neural networks. ALIFE Nicolas Oros, Volker Steuber, Neil Davey, Lola Cañamero, Rod Adams
2009	J	`jnl`	Integrating genomic binding site predictions using real-valued meta classifiers. Neural Comput. Appl. Yi Sun, Mark Robinson, Rod Adams, Rene te Boekhorst, Alistair G. Rust, Neil Davey
2009	—	`conf`	The Effect of Different Forms of Synaptic Plasticity on Pattern Recognition in the Cerebellar Cortex. ICANNGA Giseli de Sousa, Rod Adams, Neil Davey, Reinoud Maex, Volker Steuber
2009	C	`conf`	The role of lateral inhibition in the sensory processing in a simulated spiking neural controller for a robot. ALIFE David Bowes, Rod Adams, Lola Cañamero, Volker Steuber, Neil Davey
2009	J	`jnl`	Using a genetic algorithm to investigate efficient connectivity in associative memories. Neurocomputing Rod Adams, Lee Calcraft, Neil Davey
2009	J	`jnl`	Using pre & post-processing methods to improve binding site predictions. Pattern Recognit. Yi Sun, Cristina González Castellano, Mark Robinson, Rod Adams, Alistair G. Rust, Neil Davey
2008	—	`conf`	Adaptive Olfactory Encoding in Agents Controlled by Spiking Neural Networks. SAB Nicolas Oros, Volker Steuber, Neil Davey, Lola Cañamero, Rod Adams
2008	J	`jnl`	Combining experts in order to identify binding sites in yeast and mouse genomic data. Neural Networks Mark Robinson, Cristina González Castellano, Faisal Ibne Rezwan, Rod Adams, Neil Davey, Alistair G. Rust, Yi Sun
2008	B	`conf`	Connectivity graphs and the performance of sparse associative memory models. IJCNN Weiliang Chen, Rod Adams, Lee Calcraft, Volker Steuber, Neil Davey
2008	J	`jnl`	Efficient connection strategies in 1D and 2D associative memory models with and without displaced connectivity. Biosyst. Lee Calcraft, Rod Adams, Neil Davey
2008	C	`conf`	Optimal noise in spiking neural networks for the detection of chemicals by simulated agents. ALIFE Nicolas Oros, Volker Steuber, Neil Davey, Lola Cañamero, Rod Adams
2008	—	`conf`	Prediction of Binding Sites in the Mouse Genome Using Support Vector Machines. ICANN (2) Yi Sun, Mark Robinson, Rod Adams, Alistair G. Rust, Neil Davey
2008	A*	`conf`	Prediction of Skin Penetration Using Machine Learning Methods. ICDM Yi Sun, Gary P. Moss, Maria Prapopoulou, Rod Adams, Marc B. Brown, Neil Davey
2008	B	`conf`	Using graph-theoretic measures to predict the performance of associative memory models. ESANN Lee Calcraft, Rod Adams, Weiliang Chen, Neil Davey
2007	J	`jnl`	Efficient architectures for sparsely-connected high capacity associative memory models. Connect. Sci. Lee Calcraft, Rod Adams, Neil Davey
2007	—	`conf`	Identifying Binding Sites in Sequential Genomic Data. ICANN (2) Mark Robinson, Cristina González Castellano, Rod Adams, Neil Davey, Yi Sun
2007	C	`conf`	Predicting Binding Sites in the Mouse Genome. ICMLA Yi Sun, Mark Robinson, Rod Adams, Neil Davey, Alistair G. Rust
2007	B	`conf`	Sparsely-connected associative memory models with displaced connectivity. ESANN Lee Calcraft, Rod Adams, Neil Davey
2007	—	`conf`	Textual Entailment Through Extended Lexical Overlap and Lexico-Semantic Matching. ACL-PASCAL@ACL Rod Adams, Gabriel Nicolae, Cristina Nicolae, Sanda M. Harabagiu
2007	J	`jnl`	Unsupervised learning with normalised data and non-Euclidean norms. Appl. Soft Comput. Kevin A. J. Doherty, Rod Adams, Neil Davey
2007	—	`conf`	Using Real-Valued Meta Classifiers to Integrate and Contextualize Binding Site Predictions. ICANNGA (1) Mark Robinson, Offer Sharabi, Yi Sun, Rod Adams, Rene te Boekhorst, Alistair G. Rust, Neil Davey
2007	J	`jnl`	Word segmentation of handwritten text using supervised classification techniques. Appl. Soft Comput. Yi Sun, Timothy S. Butler, Alexander V. Shafarenko, Rod Adams, Martin J. Loomes, Neil Davey
2006	—	`conf`	Evolved Patterns of Connectivity in Associative Memory Models. IEEE ICCI Rod Adams, Lee Calcraft, Neil Davey
2006	B	`conf`	Gaussian and exponential architectures in small-world associative memories. ESANN Lee Calcraft, Rod Adams, Neil Davey
2006	J	`jnl`	High capacity, small world associative memory models. Connect. Sci. Neil Davey, Lee Calcraft, Rod Adams
2006	Misc	`conf`	Improving Computational Predictions of Cis- Regulatory Binding Sites. Pacific Symposium on Biocomputing Mark Robinson, Yi Sun, Rene te Boekhorst, Paul Kaye, Rod Adams, Neil Davey, Alistair G. Rust
2006	—	`conf`	Improving Radial Basis Function Networks for Human Face Recognition Using a Soft Computing Approach. SEAL Wanida Pensuwon, Rod Adams, Neil Davey, Wiroj Taweepworadej
2006	J	`jnl`	Learning through experience: an emergent connectionist account of letter production behaviour. Connect. Sci. Fiona M. Richardson, Neil Davey, John Done, Rod Adams
2006	B	`conf`	Topological Correlation. ESANN Kevin A. J. Doherty, Rod Adams, Neil Davey
2006	—	`conf`	Using Feature Selection Filtering Methods for Binding Site Predictions. IEEE ICCI Yi Sun, Mark Robinson, Rod Adams, Rene te Boekhorst, Alistair G. Rust, Neil Davey
2006	B	`conf`	Using sampling methods to improve binding site predictions. ESANN Yi Sun, Mark Robinson, Rod Adams, Rene te Boekhorst, Alistair G. Rust, Neil Davey
2005	B	`conf`	Evolving high capacity associative memories with efficient wiring. IJCNN Rod Adams, Lee Calcraft, Neil Davey
2005	J	`jnl`	Gene sequence data sets analysed using a hierarchical neural clusterer. Int. J. Syst. Sci. Rod Adams, Neil Davey, Paul Kaye, Wanida Pensuwon
2005	B	`conf`	TreeGNG - hierarchical topological clustering. ESANN Kevin A. J. Doherty, Rod Adams, Neil Davey
2005	B	`conf`	Using real-valued meta classifiers to integrate binding site predictions. IJCNN Yi Sun, Mark Robinson, Rod Adams, Paul Kaye, Alistair G. Rust, Neil Davey
2004	B	`conf`	Design of spatially extended neural networks for specific applications. IJCNN Rod Adams, Rene te Boekhorst, Alistair G. Rust, Paul Kaye, Maria J. Schilstra
2004	J	`jnl`	High capacity associative memories and connection constraints. Connect. Sci. Neil Davey, Rod Adams
2004	B	`conf`	High capacity associative memories and small world networks. IJCNN Neil Davey, Bruce Christianson, Rod Adams
2004	J	`jnl`	High capacity recurrent associative memories. Neurocomputing Neil Davey, Stephen P. Hunt, Rod Adams
2004	C	`conf`	Identifying word boundaries in handwrittem text. ICMLA Yi Sun, Timothy S. Butler, Alexander V. Shafarenko, Rod Adams, Martin J. Loomes, Neil Davey
2004	—	`conf`	Integrating Binding Site Predictions Using Non-linear Classification Methods. Deterministic and Statistical Methods in Machine Learning Yi Sun, Mark Robinson, Rod Adams, Paul Kaye, Alistair G. Rust, Neil Davey
2004	B	`conf`	Non-Euclidean norms and data normalisation. ESANN Kevin A. J. Doherty, Rod Adams, Neil Davey
2004	B	`conf`	Optimizing a Neural Tree Using Subtree Retraining. KES Wanida Pensuwon, Rod Adams, Neil Davey
2004	B	`conf`	Segmenting handwritten text using supervised classification techniques. IJCNN Yi Sun, Timothy S. Butler, Alex Shafarenko, Rod Adams, Martin J. Loomes, Neil Davey
2002	J	`jnl`	A finite state automaton model for multi-neuron simulations. Neurocomputing Maria J. Schilstra, Alistair G. Rust, Rod Adams, Hamid Bolouri
2002	J	`jnl`	The recognition and analysis of animate objects using neural networks and active contour models. Neurocomputing Ken Tabb, Neil Davey, Rod Adams, Stella J. George
2001	C	`conf`	A Hybrid Detection and Classfication System for Human Motion Analysis. HIS Ken Tabb, Neil Davey, Rod Adams, Stella J. George
2001	J	`jnl`	The analysis of the addition of stochasticity to a neural tree classifier. Appl. Soft Comput. Wanida Pensuwon, Rod Adams, Neil Davey
2001	—	`conf`	Towards Computational Neural Systems through Developmental Evolution. Emergent Neural Computational Architectures Based on Neuroscience Alistair G. Rust, Rod Adams, Stella J. George, Hamid Bolouri
2000	—	`conf`	Analysis of Human Motion Using Snakes and Neural Networks. AMDO Ken Tabb, Neil Davey, Rod Adams, Stella J. George
2000	B	`conf`	Optimising a neural tree classifier using a genetic algorithm. KES Wanida Pensuwon, Rod Adams, Neil Davey
2000	J	`jnl`	The Architecture and Performance of a Stochastic Competitive Evolutionary Neural Tree Network. Appl. Intell. Neil Davey, Rod Adams, Stella J. George
1999	J	`jnl`	Hierarchical classification with a competitive evolutionary neural tree. Neural Networks Rod Adams, Kate Butchart, Neil Davey
1999	B	`conf`	Staged training of Neocognitron by evolutionary algorithms. CEC Zhengjun Pan, Theo Sabisch, Rod Adams, Hamid Bolouri
1998	B	`conf`	Molecular Self-Organization in the Development Model for the Evolution of Large-scale Artificial Neural Networks. ICONIP Hamid Bolouri, Rod Adams, Stella J. George, Alistair G. Rust
1997	—	`conf`	An Investigation into the Performance and Representations of a Stochastic, Evolutionary Neural Tree. ICANNGA Kate Butchart, Neil Davey, Rod Adams
1997	—	`conf`	Designing Development Rules for Artificial Evolution. ICANNGA Alistair G. Rust, Rod Adams, Stella J. George, Hamid Bolouri
1996	—	`conf`	Hierarchical classification with a stochastic competitive evolutionary neural tree. ICNN Kate Butchart, Neil Davey, Rod Adams
1995	Misc	`conf`	A Comparative Study of Three Neuronal Networks that use Soft Competition. IWANN Kate Butchart, Neil Davey, Rod Adams
1995	J	`jnl`	Using Conditional Execution to Exploit Instruction Level Concurrency Softw. Pract. Exp. Rod Adams, Sue M. Gray
1994	C	`conf`	Harp: A Statically Scheduled Multiple-instruction Issue Architecture And Its Compiler. PDP Rod Adams, Sue M. Gray, Gordon B. Steven
1993	J	`jnl`	Addressing mechanisms for VLIW and superscalar processors. Microprocess. Microprogramming Fleur L. Steven, Rod Adams, Gordon B. Steven, L. Wang, D. J. Whale
1993	J	`jnl`	Static instruction scheduling for the HARP multiple-instruction-issue architecture. Microprocess. Microsystems Sue M. Gray, Rod Adams, G. J. Green, Gordon B. Steven
1991	J	`jnl`	A parallel pipelined processor with conditional instruction execution. SIGARCH Comput. Archit. News Rod Adams, Gordon B. Steven
1990	J	`jnl`	RISC systems: Tabak, D Research Studies Press/ John Wiley, Chichester, UK (1990) £24 pp 300. Microprocess. Microsystems Rod Adams