Michael A. Lones
Orcid: 0000-0002-2745-9896
According to our database1,
Michael A. Lones
authored at least 77 papers
between 2001 and 2024.
Collaborative distances:
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Bibliography
2024
2023
CoRR, 2023
Externally validating the IoTDevID device identification methodology using the CIC IoT 2022 Dataset.
CoRR, 2023
A Comprehensive Investigation of Feature and Model Importance in Android Malware Detection.
CoRR, 2023
2022
Parkinson's disease diagnosis using convolutional neural networks and figure-copying tasks.
Neural Comput. Appl., 2022
IEEE Internet Things J., 2022
Comput. Secur., 2022
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2022
Comparing Complexities of Decision Boundaries for Robust Training: A Universal Approach.
Proceedings of the Computer Vision - ACCV 2022, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
IoTDevID: A Behaviour-Based Fingerprinting Method for Device Identification in the IoT.
CoRR, 2021
A Data-Driven Biophysical Computational Model of Parkinson's Disease Based on Marmoset Monkeys.
IEEE Access, 2021
Anomaly Detection for Insider Threats: An Objective Comparison of Machine Learning Models and Ensembles.
Proceedings of the ICT Systems Security and Privacy Protection, 2021
Evaluation of Recurrent Neural Network Models for Parkinson's Disease Classification Using Drawing Data.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
2020
SN Comput. Sci., 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the Genetic Programming - 23rd European Conference, 2020
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
2019
Biosyst., 2019
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
2018
Investigating the use of Boolean networks for the control of gene regulatory networks.
J. Comput. Sci., 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
Using epigenetic networks for the analysis of movement associated with levodopa therapy for Parkinson's disease.
Biosyst., 2016
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
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
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
Proceedings of the Information Processing in Cells and Tissues, 2015
Proceedings of the Information Processing in Cells and Tissues, 2015
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
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
Proceedings of the Genetic and Evolutionary Computation Conference, 2014
2013
Biosyst., 2013
Characterising neurological time series data using biologically motivated networks of coupled discrete maps.
Biosyst., 2013
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
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
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
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
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
IEEE ACM Trans. Comput. Biol. Bioinform., 2007
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
2005
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
Genet. Program. Evolvable Mach., 2002
Proceedings of the 2002 Congress on Evolutionary Computation, 2002
2001
Proceedings of the 2001 Congress on Evolutionary Computation, 2001