Rod Adams

According to our database1, Rod Adams authored at least 80 papers between 1991 and 2017.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2017
Error Correction over Optical Transmission.
Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, 2017

Investigating optical transmission error correction using wavelet transforms.
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.
Journal of Computational Neuroscience, 2015

The importance of hyperparameters selection within small datasets.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014
Feature Selection Modelling for Percutaneous Absorption across Synthetic Membranes.
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.
Proceedings of the Adaptive and Natural Computing Algorithms, 2013

Evolution of Dendritic Morphologies Using Deterministic and Nondeterministic Genotype to Phenotype Mapping.
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.
Artif. Intell. Research, 2012

Improving Transcription Factor Binding Site Predictions by Using Randomised Negative Examples.
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.
Proceedings of the Information Processign in Cells and Tissues, 2012

The Application of Gaussian Processes in the Predictions of Permeability across Mammalian Membranes.
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.
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.
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.
Proceedings of the Engineering Applications of Neural Networks, 2012

2011
Clustering Predicts Memory Performance in Networks of Spiking and Non-Spiking Neurons.
Front. Comput. Neurosci., 2011

The application of stochastic machine learning methods in the prediction of skin penetration.
Appl. Soft Comput., 2011

Effect of Using Varying Negative Examples in Transcription Factor Binding Site Predictions.
Proceedings of the Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 2011

2010
Predicting drug absorption rates through human skin.
Proceedings of the International Joint Conference on Neural Networks, 2010

Using Randomised Vectors in Transcription Factor Binding Site Predictions.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

Correcting Errors in Optical Data Transmission Using Neural Networks.
Proceedings of the Artificial Neural Networks, 2010

The Application of Gaussian Processes in the Prediction of Percutaneous Absorption for Mammalian and Synthetic Membranes.
Proceedings of the ESANN 2010, 2010

2009
Using pre & post-processing methods to improve binding site predictions.
Pattern Recognition, 2009

Integrating genomic binding site predictions using real-valued meta classifiers.
Neural Computing and Applications, 2009

Using a genetic algorithm to investigate efficient connectivity in associative memories.
Neurocomputing, 2009

Evolution of bilateral symmetry in agents controlled by spiking neural networks.
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.
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.
Proceedings of the Adaptive and Natural Computing Algorithms, 9th International Conference, 2009

Connection Strategies in Associative Memory Models with Spiking and Non-spiking Neurons.
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.
Proceedings of the ESANN 2009, 2009

Adaptive Electrical Signal Post-processing with Varying Representations in Optical Communication Systems.
Proceedings of the Engineering Applications of Neural Networks, 2009

2008
Combining experts in order to identify binding sites in yeast and mouse genomic data.
Neural Networks, 2008

Efficient connection strategies in 1D and 2D associative memory models with and without displaced connectivity.
Biosystems, 2008

Adaptive Olfactory Encoding in Agents Controlled by Spiking Neural Networks.
Proceedings of the From Animals to Animats 10, 2008

Connectivity graphs and the performance of sparse associative memory models.
Proceedings of the International Joint Conference on Neural Networks, 2008

Prediction of Skin Penetration Using Machine Learning Methods.
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.
Proceedings of the Artificial Neural Networks, 2008

Using graph-theoretic measures to predict the performance of associative memory models.
Proceedings of the ESANN 2008, 2008

Optimal noise in spiking neural networks for the detection of chemicals by simulated agents.
Proceedings of the Artificial Life XI: Proceedingshe 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.
Connect. Sci., 2007

Word segmentation of handwritten text using supervised classification techniques.
Appl. Soft Comput., 2007

Unsupervised learning with normalised data and non-Euclidean norms.
Appl. Soft Comput., 2007

Predicting Binding Sites in the Mouse Genome.
Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007

Using Real-Valued Meta Classifiers to Integrate and Contextualize Binding Site Predictions.
Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007

Identifying Binding Sites in Sequential Genomic Data.
Proceedings of the Artificial Neural Networks, 2007

Sparsely-connected associative memory models with displaced connectivity.
Proceedings of the ESANN 2007, 2007

Textual Entailment Through Extended Lexical Overlap and Lexico-Semantic Matching.
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.
Connect. Sci., 2006

High capacity, small world associative memory models.
Connect. Sci., 2006

Improving Radial Basis Function Networks for Human Face Recognition Using a Soft Computing Approach.
Proceedings of the Simulated Evolution and Learning, 6th International Conference, 2006

Improving Computational Predictions of Cis- Regulatory Binding Sites.
Proceedings of the Biocomputing 2006, 2006

Using sampling methods to improve binding site predictions.
Proceedings of the ESANN 2006, 2006

Topological Correlation.
Proceedings of the ESANN 2006, 2006

Gaussian and exponential architectures in small-world associative memories.
Proceedings of the ESANN 2006, 2006

Using Feature Selection Filtering Methods for Binding Site Predictions.
Proceedings of the Firth IEEE International Conference on Cognitive Informatics, 2006

Evolved Patterns of Connectivity in Associative Memory Models.
Proceedings of the Firth IEEE International Conference on Cognitive Informatics, 2006

2005
Gene sequence data sets analysed using a hierarchical neural clusterer.
Int. J. Systems Science, 2005

TreeGNG - hierarchical topological clustering.
Proceedings of the ESANN 2005, 2005

2004
High capacity recurrent associative memories.
Neurocomputing, 2004

High capacity associative memories and connection constraints.
Connect. Sci., 2004

Optimizing a Neural Tree Using Subtree Retraining.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004

Identifying word boundaries in handwrittem text.
Proceedings of the 2004 International Conference on Machine Learning and Applications, 2004

Non-Euclidean norms and data normalisation.
Proceedings of the ESANN 2004, 2004

Integrating Binding Site Predictions Using Non-linear Classification Methods.
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.
Neurocomputing, 2002

A finite state automaton model for multi-neuron simulations.
Neurocomputing, 2002

2001
The analysis of the addition of stochasticity to a neural tree classifier.
Appl. Soft Comput., 2001

Towards Computational Neural Systems through Developmental Evolution.
Proceedings of the Emergent Neural Computational Architectures Based on Neuroscience, 2001

A Hybrid Detection and Classfication System for Human Motion Analysis.
Proceedings of the Hybrid Information Systems, 2001

2000
The Architecture and Performance of a Stochastic Competitive Evolutionary Neural Tree Network.
Appl. Intell., 2000

Optimising a neural tree classifier using a genetic algorithm.
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.
Proceedings of the Articulated Motion and Deformable Objects, First International Workshop, 2000

1999
Hierarchical classification with a competitive evolutionary neural tree.
Neural Networks, 1999

1998
Molecular Self-Organization in the Development Model for the Evolution of Large-scale Artificial Neural Networks.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998

1996
Hierarchical classification with a stochastic competitive evolutionary neural tree.
Proceedings of International Conference on Neural Networks (ICNN'96), 1996

1995
Using Conditional Execution to Exploit Instruction Level Concurrency
Softw., Pract. Exper., 1995

A Comparative Study of Three Neuronal Networks that use Soft Competition.
Proceedings of the From Natural to Artificial Neural Computation, 1995

1994
Harp: A Statically Scheduled Multiple-instruction Issue Architecture And Its Compiler.
Proceedings of the Second Euromicro Workshop on Parallel and Distributed Processing, 1994

1993
Static instruction scheduling for the HARP multiple-instruction-issue architecture.
Microprocessors and Microsystems - Embedded Hardware Design, 1993

Addressing mechanisms for VLIW and superscalar processors.
Microprocessing and Microprogramming, 1993

1991
A parallel pipelined processor with conditional instruction execution.
SIGARCH Computer Architecture News, 1991


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