James Alexander Hughes
Title
Cited by
Cited by
Year
Benchmark datasets for the DNA fragment assembly problem
GM Mallén-Fullerton, JA Hughes, S Houghten, G Fernández-Anaya
International Journal of Bio-Inspired Computation 5 (6), 384-394, 2013
222013
Recentering and restarting a genetic algorithm using a generative representation for an ordered gene problem 1
JA Hughes, S Houghten, D Ashlock
International journal of hybrid intelligent systems 11 (4), 257-271, 2014
112014
Edit metric decoding: Representation strikes back
J Hughes, JA Brown, S Houghten, D Ashlock
2013 IEEE Congress on Evolutionary Computation, 229-236, 2013
102013
Recentering, reanchoring & restarting an evolutionary algorithm
J Hughes, S Houghten, D Ashlock
2013 World Congress on Nature and Biologically Inspired Computing, 76-83, 2013
92013
Recentering and restarting genetic algorithm variations for DNA fragment assembly
J Hughes, S Houghten, GM Mallén-Fullerton, D Ashlock
2014 IEEE Conference on Computational Intelligence in Bioinformatics and …, 2014
82014
Restarting and recentering genetic algorithm variations for DNA fragment assembly: The necessity of a multi-strategy approach
JA Hughes, S Houghten, D Ashlock
Biosystems 150, 35-45, 2016
72016
Smartphone gait fingerprinting models via genetic programming
JA Hughes, JA Brown, AM Khan
2016 IEEE Congress on Evolutionary Computation (CEC), 408-415, 2016
62016
Finding nonlinear relationships in fmri time series with symbolic regression
JA Hughes, M Daley
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference …, 2016
52016
Searching for nonlinear relationships in fmri data with symbolic regression
JA Hughes, M Daley
Proceedings of the Genetic and Evolutionary Computation Conference, 1129-1136, 2017
42017
Analysis of symbolic models of biometrie data and their use for action and user identification
JA Hughes, JA Brown, AM Khan, AM Khattak, M Daley
2018 IEEE Conference on Computational Intelligence in Bioinformatics and …, 2018
22018
On the generalizability of linear and non-linear region of interest-based multivariate regression models for fmri data
EC Jackson, JA Hughes, M Daley
2018 IEEE Conference on Computational Intelligence in Bioinformatics and …, 2018
22018
An algebraic generalization for graph and tensor-based neural networks
EC Jackson, JA Hughes, M Daley, M Winter
2017 IEEE Conference on Computational Intelligence in Bioinformatics and …, 2017
22017
Modelling intracranial pressure with noninvasive physiological measures
JA Hughes, EC Jackson, M Daley
2017 IEEE Conference on Computational Intelligence in Bioinformatics and …, 2017
22017
A study of ordered gene problems featuring DNA error correction and DNA fragment assembly with a variety of heuristics, genetic algorithm variations, and dynamic representations
J Hughes
Brock University, 2014
22014
Permutation problems, genetic algorithms, and dynamic representations
JA Hughes, S Houghten, D Ashlock
Nature-Inspired Computing and Optimization, 123-149, 2017
12017
Models of Parkinson's Disease Patient Gait
J Hughes, S Houghten, JA Brown
IEEE Journal of Biomedical and Health Informatics, 2019
2019
Descriptive Symbolic Models of Gaits from Parkinson's Disease Patients
JA Hughes, S Houghten, JA Brown
2019 IEEE Conference on Computational Intelligence in Bioinformatics and …, 2019
2019
Generating Nonlinear Models of Functional Connectivity from Functional Magnetic Resonance Imaging Data with Genetic Programming
JA Hughes, M Daley
2019 IEEE Congress on Evolutionary Computation (CEC), 3252-3261, 2019
2019
User and Task Identification of Smartwatch Data with an Ensemble of Nonlinear Symbolic Models
JA Hughes, JA Brown, AM Khan, AM Khattak, M Daley
2019 IEEE Congress on Evolutionary Computation (CEC), 2506-2513, 2019
2019
Edit metric decoding: Return of the side effect machines
S Houghten, TK Collins, JA Hughes, JA Brown
2018 IEEE Conference on Computational Intelligence in Bioinformatics and …, 2018
2018
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Articles 1–20