Michael A. Lones

According to our database1, Michael A. Lones authored at least 56 papers between 2002 and 2021.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Online presence:

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Bibliography

2021
IoTDevID: A Behaviour-Based Fingerprinting Method for Device Identification in the IoT.
CoRR, 2021

2020
Mitigating Metaphors: A Comprehensible Guide to Recent Nature-Inspired Algorithms.
SN Comput. Sci., 2020

Relative Robustness of Quantized Neural Networks Against Adversarial Attacks.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Optimising Optimisers with Push GP.
Proceedings of the Genetic Programming - 23rd European Conference, 2020

Neural-Guided Particle Swarm optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
Evolutionary acquisition of complex traits in artificial epigenetic networks.
Biosyst., 2019

Instruction-level design of local optimisers using push GP.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

2018
Evolutionary Algorithms.
Proceedings of the Handbook of Heuristics., 2018

Investigating the use of Boolean networks for the control of gene regulatory networks.
J. Comput. Sci., 2018

Evolutionary Algorithms.
CoRR, 2018

Using echo state networks for classification: A case study in Parkinson's disease diagnosis.
Artif. Intell. Medicine, 2018

Towards in Vivo Genetic Programming: Evolving Boolean Networks to Determine Cell States.
Proceedings of the Genetic Programming - 21st European Conference, 2018

2017
Artificial Epigenetic Networks: Automatic Decomposition of Dynamical Control Tasks Using Topological Self-Modification.
IEEE Trans. Neural Networks Learn. Syst., 2017

A New Evolutionary Algorithm-Based Home Monitoring Device for Parkinson's Dyskinesia.
J. Medical Syst., 2017

Going through directional changes: evolving human movement classifiers using an event based encoding.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016
2015 Information Processing in Cells and Tissues (IPCAT 2015).
Biosyst., 2016

Using epigenetic networks for the analysis of movement associated with levodopa therapy for Parkinson's disease.
Biosyst., 2016

Exploring diagnostic models of Parkinson's disease with multi-objective regression.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Using Multiobjective Evolutionary Algorithms to Understand Parkinson's Disease.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

A Multi-Objective Approach to Predicting Motor and Cognitive Deficit in Parkinson's Disease Patients.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Towards Intelligent Biological Control: Controlling Boolean Networks with Boolean Networks.
Proceedings of the Applications of Evolutionary Computation - 19th European Conference, 2016

Evolving Boolean networks for biological control: State space targeting in scale free Boolean networks.
Proceedings of the 2016 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2016

2015
Medical Applications of Evolvable Hardware.
Proceedings of the Evolvable Hardware - From Practice to Application, 2015

Evolving Efficient Solutions to Complex Problems Using the Artificial Epigenetic Network.
Proceedings of the Information Processing in Cells and Tissues, 2015

Evolving Ensembles: What Can We Learn from Biological Mutualisms?
Proceedings of the Information Processing in Cells and Tissues, 2015

Harmonic Versus Chaos Controlled Oscillators in Hexapedal Locomotion.
Proceedings of the Information Processing in Cells and Tissues, 2015

Forming classifier ensembles with multimodal Evolutionary Algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

A comparison of evolved linear and non-linear ensemble vote aggregators.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
Evolving Classifiers to Recognize the Movement Characteristics of Parkinson's Disease Patients.
IEEE Trans. Evol. Comput., 2014

Artificial Biochemical Networks: Evolving Dynamical Systems to Control Dynamical Systems.
IEEE Trans. Evol. Comput., 2014

Classification and characterisation of movement patterns during levodopa therapy for parkinson's disease.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Metaheuristics in nature-inspired algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

2013
Special issue on the frontiers of natural computing.
Nat. Comput., 2013

Biochemical connectionism.
Nat. Comput., 2013

The incorporation of epigenetics in artificial gene regulatory networks.
Biosyst., 2013

Characterising neurological time series data using biologically motivated networks of coupled discrete maps.
Biosyst., 2013

Computational models of signalling networks for non-linear control.
Biosyst., 2013

The artificial epigenetic network.
Proceedings of the 2013 IEEE International Conference on Evolvable Systems, 2013

Characterisation of movement disorder in parkinson's disease using evolutionary algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Evolving classifiers to inform clinical assessment of Parkinson's disease.
Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Healthcare and e-health, 2013

Adaptive robotic gait control using coupled artificial signalling networks, hopf oscillators and inverse kinematics.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012
Using Artificial Epigenetic Regulatory Networks to Control Complex Tasks within Chaotic Systems.
Proceedings of the Information Processign in Cells and Tissues, 2012

Evolving Computational Dynamical Systems to Recognise Abnormal Human Motor Function.
Proceedings of the Information Processign in Cells and Tissues, 2012

Evolved Artificial Signalling Networks for the Control of a Conservative Complex Dynamical System.
Proceedings of the Information Processign in Cells and Tissues, 2012

2011
Sean Luke: essentials of metaheuristics.
Genet. Program. Evolvable Mach., 2011

Controlling legged robots with coupled artificial biochemical networks.
Proceedings of the Advances in Artificial Life: 20th Anniversary Edition, 2011

Objective Assessment of Visuo-spatial Ability using Implicit Context Representation Cartesian Genetic Programming.
Proceedings of the Genetic and Evolutionary Computation: Medical Applications, 2011

2010
Controlling Complex Dynamics with Artificial Biochemical Networks.
Proceedings of the Genetic Programming, 13th European Conference, 2010

Discriminating normal and cancerous thyroid cell lines using implicit context representation Cartesian genetic programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
Implicit Context Representation Cartesian Genetic Programming for the assessment of visuo-spatial ability.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2007
Regulatory Motif Discovery Using a Population Clustering Evolutionary Algorithm.
IEEE ACM Trans. Comput. Biol. Bioinform., 2007

A co-evolutionary framework for regulatory motif discovery.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2005
The evolutionary computation approach to motif discovery in biological sequences.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

2004
Enzyme Genetic Programming.
Proceedings of the Cellular Computing., 2004

2003
Enzyme genetic programming : modelling biological evolvability in genetic programming.
PhD thesis, 2003

2002
Biomimetic Representation with Genetic Programming Enzyme.
Genet. Program. Evolvable Mach., 2002


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