Michael A. Lones

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 45

Top Topics

Boolean Networks

Movement Patterns

Multiobjective Evolutionary Algorithms

Top Venues

GECCO (Companion)

Publications

Kahraman Kostas, Mike Just, Michael A. Lones
IoTGeM: Generalizable Models for Behaviour-Based IoT Attack Detection. CoRR (2024)
Ali Muzaffar, Hani Ragab Hassen, Hind Zantout, Michael A. Lones
ActDroid: An active learning framework for Android malware detection. CoRR (2024)
Kahraman Kostas, Mike Just, Michael A. Lones
Individual Packet Features are a Risk to Model Generalisation in ML-Based Intrusion Detection. CoRR (2024)
Ali Muzaffar, Hani Ragab Hassen, Hind Zantout, Michael A. Lones
DroidDissector: A Static and Dynamic Analysis Tool for Android Malware Detection. CoRR (2023)
Sayash Kapoor, Emily Cantrell, Kenny Peng, Thanh Hien Pham, Christopher A. Bail, Odd Erik Gundersen, Jake M. Hofman, Jessica Hullman, Michael A. Lones, Momin M. Malik, Priyanka Nanayakkara, Russell A. Poldrack, Inioluwa Deborah Raji, Michael Roberts, Matthew J. Salganik, Marta Serra-Garcia, Brandon M. Stewart, Gilles Vandewiele, Arvind Narayanan
REFORMS: Reporting Standards for Machine Learning Based Science. CoRR (2023)
Ali Muzaffar, Hani Ragab Hassen, Hind Zantout, Michael A. Lones
A Comprehensive Investigation of Feature and Model Importance in Android Malware Detection. CoRR (2023)
Kahraman Kostas, Mike Just, Michael A. Lones
Externally validating the IoTDevID device identification methodology using the CIC IoT 2022 Dataset. CoRR (2023)
Mohamad Alissa, Michael A. Lones, Jeremy Cosgrove, Jane E. Alty, Stuart Jamieson, Stephen L. Smith, Marta Vallejo
Parkinson's disease diagnosis using convolutional neural networks and figure-copying tasks. Neural Comput. Appl. 34 (2) (2022)
Daniel Kienitz, Ekaterina Komendantskaya, Michael A. Lones
The Effect of Manifold Entanglement and Intrinsic Dimensionality on Learning. AAAI (2022)
Heba El-Shimy, Hind Zantout, Michael A. Lones, Neamat El Gayar
A Review of Capsule Networks in Medical Image Analysis. ANNPR (2022)
Kahraman Kostas, Mike Just, Michael A. Lones
IoTDevID: A Behavior-Based Device Identification Method for the IoT. IEEE Internet Things J. 9 (23) (2022)
Ali Muzaffar, Hani Ragab Hassen, Michael A. Lones, Hind Zantout
An in-depth review of machine learning based Android malware detection. Comput. Secur. 121 (2022)
Daniel Kienitz, Ekaterina Komendantskaya, Michael A. Lones
Comparing Complexities of Decision Boundaries for Robust Training: A Universal Approach. ACCV (6) (2022)
Fraser Garrow, Michael A. Lones, Robert J. Stewart
Why functional program synthesis matters (in the realm of genetic programming). GECCO Companion (2022)
Caetano Mazzoni Ranieri, Jhielson M. Pimentel, Marcelo R. Romano, Leonardo Abdala Elias, Roseli A. F. Romero, Michael A. Lones, Mariana F. P. Araújo, Patrícia A. Vargas, Renan Cipriano Moioli
A Data-Driven Biophysical Computational Model of Parkinson's Disease based on Marmoset Monkeys. CoRR (2021)
Filip Wieslaw Bartoszewski, Mike Just, Michael A. Lones, Oleksii Mandrychenko
Anomaly Detection for Insider Threats: An Objective Comparison of Machine Learning Models and Ensembles. SEC (2021)
Kahraman Kostas, Mike Just, Michael A. Lones
IoTDevID: A Behaviour-Based Fingerprinting Method for Device Identification in the IoT. CoRR (2021)
Michael A. Lones
How to avoid machine learning pitfalls: a guide for academic researchers. CoRR (2021)
Caetano Mazzoni Ranieri, Jhielson M. Pimentel, Marcelo R. Romano, Leonardo Abdala Elias, Roseli A. F. Romero, Michael A. Lones, Mariana F. P. Araújo, Patrícia A. Vargas, Renan Cipriano Moioli
A Data-Driven Biophysical Computational Model of Parkinson's Disease Based on Marmoset Monkeys. IEEE Access 9 (2021)
Nadia S. Taou, Michael A. Lones
Optimising Boolean Synthetic Regulatory Networks to Control Cell States. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (6) (2021)
Michael A. Lones
Evolving continuous optimisers from scratch. Genet. Program. Evolvable Mach. 22 (4) (2021)
Arjun Shenoy A. V, Michael A. Lones, Stephen L. Smith, Marta Vallejo
Evaluation of Recurrent Neural Network Models for Parkinson's Disease Classification Using Drawing Data. EMBC (2021)
Michael A. Lones
Evolving Continuous Optimisers from Scratch. CoRR (2021)
Amani M. Benhalem, Michael A. Lones
Neural-Guided Particle Swarm optimization. CEC (2020)
Michael A. Lones
Optimising Optimisers with Push GP. EuroGP (2020)
Kirsty Duncan, Ekaterina Komendantskaya, Robert J. Stewart, Michael A. Lones
Relative Robustness of Quantized Neural Networks Against Adversarial Attacks. IJCNN (2020)
Michael A. Lones
Mitigating Metaphors: A Comprehensible Guide to Recent Nature-Inspired Algorithms. SN Comput. Sci. 1 (1) (2020)
Michael A. Lones
Instruction-Level Design of Local Optimisers using Push GP. CoRR (2019)
Michael A. Lones
Optimising Optimisers with Push GP. CoRR (2019)
Michael A. Lones
Instruction-level design of local optimisers using push GP. GECCO (Companion) (2019)
Alexander P. Turner, Andrew M. Tyrrell, Martin Trefzer, Michael A. Lones
Evolutionary acquisition of complex traits in artificial epigenetic networks. Biosyst. 176 (2019)
Nadia S. Taou, Michael A. Lones
Towards in Vivo Genetic Programming: Evolving Boolean Networks to Determine Cell States. EuroGP (2018)
Stuart E. Lacy, Stephen L. Smith, Michael A. Lones
Using echo state networks for classification: A case study in Parkinson's disease diagnosis. Artif. Intell. Medicine 86 (2018)
Nadia S. Taou, David W. Corne, Michael A. Lones
Investigating the use of Boolean networks for the control of gene regulatory networks. J. Comput. Sci. 26 (2018)
David W. Corne, Michael A. Lones
Evolutionary Algorithms. CoRR (2018)
Alexander P. Turner, Leo S. D. Caves, Susan Stepney, Andy M. Tyrrell, Michael A. Lones
Artificial Epigenetic Networks: Automatic Decomposition of Dynamical Control Tasks Using Topological Self-Modification. IEEE Trans. Neural Networks Learn. Syst. 28 (1) (2017)
Michael A. Lones, Jane E. Alty, Jeremy Cosgrove, Philippa Duggan-Carter, Stuart Jamieson, Rebecca F. Naylor, Andrew J. Turner, Stephen L. Smith
A New Evolutionary Algorithm-Based Home Monitoring Device for Parkinson's Dyskinesia. J. Medical Syst. 41 (11) (2017)
Michael A. Lones, Jane E. Alty, Jeremy Cosgrove, Stuart Jamieson, Stephen L. Smith
Going through directional changes: evolving human movement classifiers using an event based encoding. GECCO (Companion) (2017)
Marta Vallejo, Jeremy Cosgrove, Jane E. Alty, Stuart Jamieson, Stephen L. Smith, David W. Corne, Michael A. Lones
A Multi-Objective Approach to Predicting Motor and Cognitive Deficit in Parkinson's Disease Patients. GECCO (Companion) (2016)
Marta Vallejo, Jeremy Cosgrove, Jane E. Alty, Stephen L. Smith, David W. Corne, Michael A. Lones
Using Multiobjective Evolutionary Algorithms to Understand Parkinson's Disease. GECCO (Companion) (2016)
Nadia S. Taou, David W. Corne, Michael A. Lones
Towards Intelligent Biological Control: Controlling Boolean Networks with Boolean Networks. EvoApplications (1) (2016)
Andy M. Tyrrell, Michael A. Lones, Stephen L. Smith, Gary B. Fogel
2015 Information Processing in Cells and Tissues (IPCAT 2015). Biosyst. 146 (2016)
Alexander P. Turner, Michael A. Lones, Martin A. Trefzer, Stephen L. Smith, Stuart Jamieson, Jane E. Alty, Jeremy Cosgrove, Andy M. Tyrrell
Using epigenetic networks for the analysis of movement associated with levodopa therapy for Parkinson's disease. Biosyst. 146 (2016)
Marta Vallejo, Stuart Jamieson, Jeremy Cosgrove, Stephen L. Smith, Michael A. Lones, Jane E. Alty, David W. Corne
Exploring diagnostic models of Parkinson's disease with multi-objective regression. SSCI (2016)
Nadia S. Taou, David W. Corne, Michael A. Lones
Evolving Boolean networks for biological control: State space targeting in scale free Boolean networks. CIBCB (2016)
Alexander P. Turner, Martin A. Trefzer, Michael A. Lones, Andy M. Tyrrell
Evolving Efficient Solutions to Complex Problems Using the Artificial Epigenetic Network. IPCAT (2015)
Luis A. Fuente, Michael A. Lones, Nigel T. Crook, Tjeerd Olde Scheper
Harmonic Versus Chaos Controlled Oscillators in Hexapedal Locomotion. IPCAT (2015)
Stuart E. Lacy, Michael A. Lones, Stephen L. Smith
Forming classifier ensembles with multimodal Evolutionary Algorithms. CEC (2015)
Stuart E. Lacy, Michael A. Lones, Stephen L. Smith
A comparison of evolved linear and non-linear ensemble vote aggregators. CEC (2015)
Michael A. Lones, Stuart E. Lacy, Stephen L. Smith
Evolving Ensembles: What Can We Learn from Biological Mutualisms? IPCAT (2015)
Michael A. Lones, Luis A. Fuente, Alexander P. Turner, Leo S. D. Caves, Susan Stepney, Stephen L. Smith, Andy M. Tyrrell
Artificial Biochemical Networks: Evolving Dynamical Systems to Control Dynamical Systems. IEEE Trans. Evol. Comput. 18 (2) (2014)
Michael A. Lones, Stephen L. Smith, Jane E. Alty, Stuart E. Lacy, Katherine L. Possin, D. R. Stuart Jamieson, Andy M. Tyrrell
Evolving Classifiers to Recognize the Movement Characteristics of Parkinson's Disease Patients. IEEE Trans. Evol. Comput. 18 (4) (2014)
Michael A. Lones
Metaheuristics in nature-inspired algorithms. GECCO (Companion) (2014)
Michael A. Lones, Jane E. Alty, Philippa Duggan-Carter, Andrew J. Turner, D. R. Stuart Jamieson, Stephen L. Smith
Classification and characterisation of movement patterns during levodopa therapy for parkinson's disease. GECCO (Companion) (2014)
Luis A. Fuente, Michael A. Lones, Alexander P. Turner, Leo S. D. Caves, Susan Stepney, Andy M. Tyrrell
Adaptive robotic gait control using coupled artificial signalling networks, hopf oscillators and inverse kinematics. IEEE Congress on Evolutionary Computation (2013)
Alexander P. Turner, Michael A. Lones, Luis A. Fuente, Susan Stepney, Leo S. D. Caves, Andy M. Tyrrell
The incorporation of epigenetics in artificial gene regulatory networks. Biosyst. 112 (2) (2013)
Stuart E. Lacy, Michael A. Lones, Stephen L. Smith, Jane E. Alty, D. R. Stuart Jamieson, Katherine L. Possin, Norbert Schuff
Characterisation of movement disorder in parkinson's disease using evolutionary algorithms. GECCO (Companion) (2013)
Michael A. Lones, Stephen L. Smith, Andy M. Tyrrell, Jane E. Alty, D. R. Stuart Jamieson
Characterising neurological time series data using biologically motivated networks of coupled discrete maps. Biosyst. 112 (2) (2013)
Michael A. Lones, Andy M. Tyrrell, Susan Stepney, Leo S. D. Caves
Special issue on the frontiers of natural computing. Nat. Comput. 12 (4) (2013)
Luis A. Fuente, Michael A. Lones, Alexander P. Turner, Susan Stepney, Leo S. D. Caves, Andy M. Tyrrell
Computational models of signalling networks for non-linear control. Biosyst. 112 (2) (2013)
Michael A. Lones, Jane E. Alty, Stuart E. Lacy, D. R. Stuart Jamieson, Katherine L. Possin, Norbert Schuff, Stephen L. Smith
Evolving classifiers to inform clinical assessment of Parkinson's disease. CICARE (2013)
Michael A. Lones, Alexander P. Turner, Luis A. Fuente, Susan Stepney, Leo S. D. Caves, Andy M. Tyrrell
Biochemical connectionism. Nat. Comput. 12 (4) (2013)
Alexander P. Turner, Michael A. Lones, Luis A. Fuente, Susan Stepney, Leo S. D. Caves, Andy M. Tyrrell
The artificial epigenetic network. ICES (2013)
Michael A. Lones, Stephen L. Smith, Andy M. Tyrrell, Jane E. Alty, D. R. Stuart Jamieson
Evolving Computational Dynamical Systems to Recognise Abnormal Human Motor Function. IPCAT (2012)
Alexander P. Turner, Michael A. Lones, Luis A. Fuente, Susan Stepney, Leo S. D. Caves, Andy M. Tyrrell
Using Artificial Epigenetic Regulatory Networks to Control Complex Tasks within Chaotic Systems. IPCAT (2012)
Luis A. Fuente, Michael A. Lones, Alexander P. Turner, Susan Stepney, Leo S. D. Caves, Andy M. Tyrrell
Evolved Artificial Signalling Networks for the Control of a Conservative Complex Dynamical System. IPCAT (2012)
Michael A. Lones, Andy M. Tyrrell, Susan Stepney, Leo S. D. Caves
Controlling legged robots with coupled artificial biochemical networks. ECAL (2011)
Michael A. Lones
Sean Luke: essentials of metaheuristics. Genet. Program. Evolvable Mach. 12 (3) (2011)
Michael A. Lones, Stephen L. Smith, Andrew T. Harris, Alec S. High, Sheila E. Fisher, D. Alastair Smith, Jennifer Kirkham
Discriminating normal and cancerous thyroid cell lines using implicit context representation Cartesian genetic programming. IEEE Congress on Evolutionary Computation (2010)
Michael A. Lones, Andy M. Tyrrell, Susan Stepney, Leo S. D. Caves
Controlling Complex Dynamics with Artificial Biochemical Networks. EuroGP (2010)
Stephen L. Smith, Michael A. Lones
Implicit Context Representation Cartesian Genetic Programming for the assessment of visuo-spatial ability. IEEE Congress on Evolutionary Computation (2009)
Michael A. Lones, Andy M. Tyrrell
A co-evolutionary framework for regulatory motif discovery. IEEE Congress on Evolutionary Computation (2007)
Michael A. Lones, Andy M. Tyrrell
Regulatory Motif Discovery Using a Population Clustering Evolutionary Algorithm. IEEE ACM Trans. Comput. Biol. Bioinform. 4 (3) (2007)
Michael A. Lones, Andrew M. Tyrrell
The evolutionary computation approach to motif discovery in biological sequences. GECCO Workshops (2005)
Michael A. Lones, Andy M. Tyrrell
Crossover and bloat in the functionality model of enzyme genetic programming. IEEE Congress on Evolutionary Computation (2002)
Michael A. Lones, Andrew M. Tyrrell
Biomimetic Representation with Genetic Programming Enzyme. Genet. Program. Evolvable Mach. 3 (2) (2002)
Michael A. Lones, Andy M. Tyrrell
Enzyme genetic programming. CEC (2001)