Michael A. Lones

92 papers A* 1B 13C 1Misc 1Journal 47Unranked 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ActDroid: An active learning framework for android malware detection. Comput. Secur. Ali Muzaffar, Hani Ragab Hassen, Hind Zantout, Michael A. Lones
2025	J	`jnl`	GeMID: Generalizable models for IoT device identification. Internet Things Kahraman Kostas, Rabia Yasa Kostas, Mike Just, Michael A. Lones
2025	J	`jnl`	Individual Packet Features are a Risk to Model Generalization in ML-Based Intrusion Detection. IEEE Netw. Lett. Kahraman Kostas, Mike Just, Michael A. Lones
2025	J	`jnl`	IoTGeM: Generalizable models for behaviour-based IoT attack detection. Comput. Networks Kahraman Kostas, Mike Just, Michael A. Lones
2025	J	`jnl`	Navigating Pitfalls: Evaluating LLMs in Machine Learning Programming Education. CoRR Smitha S. Kumar, Michael A. Lones, Manuel Maarek, Hind Zantout
2025	J	`jnl`	Navigating the Landscape of Automated Feedback Generation Techniques for Programming Exercises. ACM Trans. Comput. Educ. Smitha S. Kumar, Michael A. Lones, Manuel Maarek, Hind Zantout
2025	J	`jnl`	Self-Supervised Learning for Pre-training Capsule Networks: Overcoming Medical Imaging Dataset Challenges. CoRR Heba El-Shimy, Hind Zantout, Michael A. Lones, Neamat El Gayar
2024	J	`jnl`	ActDroid: An active learning framework for Android malware detection. CoRR Ali Muzaffar, Hani Ragab Hassen, Hind Zantout, Michael A. Lones
2024	J	`jnl`	Avoiding common machine learning pitfalls. Patterns Michael A. Lones
2024	J	`jnl`	GeMID: Generalizable Models for IoT Device Identification. CoRR Kahraman Kostas, Rabia Yasa Kostas, Mike Just, Michael A. Lones
2024	J	`jnl`	Individual Packet Features are a Risk to Model Generalisation in ML-Based Intrusion Detection. CoRR Kahraman Kostas, Mike Just, Michael A. Lones
2024	J	`jnl`	IoTGeM: Generalizable Models for Behaviour-Based IoT Attack Detection. CoRR Kahraman Kostas, Mike Just, Michael A. Lones
2023	J	`jnl`	A Comprehensive Investigation of Feature and Model Importance in Android Malware Detection. CoRR Ali Muzaffar, Hani Ragab Hassen, Hind Zantout, Michael A. Lones
2023	J	`jnl`	DroidDissector: A Static and Dynamic Analysis Tool for Android Malware Detection. CoRR Ali Muzaffar, Hani Ragab Hassen, Hind Zantout, Michael A. Lones
2023	J	`jnl`	Externally validating the IoTDevID device identification methodology using the CIC IoT 2022 Dataset. CoRR Kahraman Kostas, Mike Just, Michael A. Lones
2023	J	`jnl`	REFORMS: Reporting Standards for Machine Learning Based Science. CoRR 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
2022	—	`conf`	A Review of Capsule Networks in Medical Image Analysis. ANNPR Heba El-Shimy, Hind Zantout, Michael A. Lones, Neamat El Gayar
2022	J	`jnl`	An in-depth review of machine learning based Android malware detection. Comput. Secur. Ali Muzaffar, Hani Ragab Hassen, Michael A. Lones, Hind Zantout
2022	—	`conf`	Comparing Complexities of Decision Boundaries for Robust Training: A Universal Approach. ACCV (6) Daniel Kienitz, Ekaterina Komendantskaya, Michael A. Lones
2022	J	`jnl`	IoTDevID: A Behavior-Based Device Identification Method for the IoT. IEEE Internet Things J. Kahraman Kostas, Mike Just, Michael A. Lones
2022	J	`jnl`	Parkinson's disease diagnosis using convolutional neural networks and figure-copying tasks. Neural Comput. Appl. Mohamad Alissa, Michael A. Lones, Jeremy Cosgrove, Jane E. Alty, Stuart Jamieson, Stephen L. Smith, Marta Vallejo
2022	A*	`conf`	The Effect of Manifold Entanglement and Intrinsic Dimensionality on Learning. AAAI Daniel Kienitz, Ekaterina Komendantskaya, Michael A. Lones
2022	—	`conf`	Why functional program synthesis matters (in the realm of genetic programming). GECCO Companion Fraser Garrow, Michael A. Lones, Robert J. Stewart
2021	J	`jnl`	A Data-Driven Biophysical Computational Model of Parkinson's Disease Based on Marmoset Monkeys. IEEE Access 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
2021	J	`jnl`	A Data-Driven Biophysical Computational Model of Parkinson's Disease based on Marmoset Monkeys. CoRR 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
2021	Misc	`conf`	Anomaly Detection for Insider Threats: An Objective Comparison of Machine Learning Models and Ensembles. SEC Filip Wieslaw Bartoszewski, Mike Just, Michael A. Lones, Oleksii Mandrychenko
2021	—	`conf`	Evaluation of Recurrent Neural Network Models for Parkinson's Disease Classification Using Drawing Data. EMBC Arjun Shenoy A. V, Michael A. Lones, Stephen L. Smith, Marta Vallejo
2021	J	`jnl`	Evolving Continuous Optimisers from Scratch. CoRR Michael A. Lones
2021	J	`jnl`	Evolving continuous optimisers from scratch. Genet. Program. Evolvable Mach. Michael A. Lones
2021	J	`jnl`	How to avoid machine learning pitfalls: a guide for academic researchers. CoRR Michael A. Lones
2021	J	`jnl`	IoTDevID: A Behaviour-Based Fingerprinting Method for Device Identification in the IoT. CoRR Kahraman Kostas, Mike Just, Michael A. Lones
2021	J	`jnl`	Optimising Boolean Synthetic Regulatory Networks to Control Cell States. IEEE ACM Trans. Comput. Biol. Bioinform. Nadia S. Taou, Michael A. Lones
2020	J	`jnl`	Mitigating Metaphors: A Comprehensible Guide to Recent Nature-Inspired Algorithms. SN Comput. Sci. Michael A. Lones
2020	B	`conf`	Neural-Guided Particle Swarm optimization. CEC Amani M. Benhalem, Michael A. Lones
2020	B	`conf`	Optimising Optimisers with Push GP. EuroGP Michael A. Lones
2020	B	`conf`	Relative Robustness of Quantized Neural Networks Against Adversarial Attacks. IJCNN Kirsty Duncan, Ekaterina Komendantskaya, Robert J. Stewart, Michael A. Lones
2019	J	`jnl`	Evolutionary acquisition of complex traits in artificial epigenetic networks. Biosyst. Alexander P. Turner, Andrew M. Tyrrell, Martin Trefzer, Michael A. Lones
2019	J	`jnl`	Instruction-Level Design of Local Optimisers using Push GP. CoRR Michael A. Lones
2019	—	`conf`	Instruction-level design of local optimisers using push GP. GECCO (Companion) Michael A. Lones
2019	J	`jnl`	Optimising Optimisers with Push GP. CoRR Michael A. Lones
2018	J	`jnl`	Evolutionary Algorithms. CoRR David W. Corne, Michael A. Lones
2018	—	`ch.`	Evolutionary Algorithms. Handbook of Heuristics David Corne, Michael A. Lones
2018	J	`jnl`	Investigating the use of Boolean networks for the control of gene regulatory networks. J. Comput. Sci. Nadia S. Taou, David W. Corne, Michael A. Lones
2018	B	`conf`	Towards in Vivo Genetic Programming: Evolving Boolean Networks to Determine Cell States. EuroGP Nadia S. Taou, Michael A. Lones
2018	J	`jnl`	Using echo state networks for classification: A case study in Parkinson's disease diagnosis. Artif. Intell. Medicine Stuart E. Lacy, Stephen L. Smith, Michael A. Lones
2017	J	`jnl`	A New Evolutionary Algorithm-Based Home Monitoring Device for Parkinson's Dyskinesia. J. Medical Syst. Michael A. Lones, Jane E. Alty, Jeremy Cosgrove, Philippa Duggan-Carter, Stuart Jamieson, Rebecca F. Naylor, Andrew James Turner, Stephen L. Smith
2017	J	`jnl`	Artificial Epigenetic Networks: Automatic Decomposition of Dynamical Control Tasks Using Topological Self-Modification. IEEE Trans. Neural Networks Learn. Syst. Alexander P. Turner, Leo S. D. Caves, Susan Stepney, Andy M. Tyrrell, Michael A. Lones
2017	—	`conf`	Going through directional changes: evolving human movement classifiers using an event based encoding. GECCO (Companion) Michael A. Lones, Jane E. Alty, Jeremy Cosgrove, Stuart Jamieson, Stephen L. Smith
2016	J	`jnl`	2015 Information Processing in Cells and Tissues (IPCAT 2015). Biosyst. Andy M. Tyrrell, Michael A. Lones, Stephen L. Smith, Gary B. Fogel
2016	—	`conf`	A Multi-Objective Approach to Predicting Motor and Cognitive Deficit in Parkinson's Disease Patients. GECCO (Companion) Marta Vallejo, Jeremy Cosgrove, Jane E. Alty, Stuart Jamieson, Stephen L. Smith, David W. Corne, Michael A. Lones
2016	C	`conf`	Evolving Boolean networks for biological control: State space targeting in scale free Boolean networks. CIBCB Nadia S. Taou, David W. Corne, Michael A. Lones
2016	—	`conf`	Exploring diagnostic models of Parkinson's disease with multi-objective regression. SSCI Marta Vallejo, Stuart Jamieson, Jeremy Cosgrove, Stephen L. Smith, Michael A. Lones, Jane E. Alty, David W. Corne
2016	—	`conf`	Towards Intelligent Biological Control: Controlling Boolean Networks with Boolean Networks. EvoApplications (1) Nadia S. Taou, David W. Corne, Michael A. Lones
2016	—	`conf`	Using Multiobjective Evolutionary Algorithms to Understand Parkinson's Disease. GECCO (Companion) Marta Vallejo, Jeremy Cosgrove, Jane E. Alty, Stephen L. Smith, David W. Corne, Michael A. Lones
2016	J	`jnl`	Using epigenetic networks for the analysis of movement associated with levodopa therapy for Parkinson's disease. Biosyst. Alexander P. Turner, Michael A. Lones, Martin A. Trefzer, Stephen L. Smith, Stuart Jamieson, Jane E. Alty, Jeremy Cosgrove, Andy M. Tyrrell
2015	B	`conf`	A comparison of evolved linear and non-linear ensemble vote aggregators. CEC Stuart E. Lacy, Michael A. Lones, Stephen L. Smith
2015	—	`conf`	Evolving Efficient Solutions to Complex Problems Using the Artificial Epigenetic Network. IPCAT Alexander P. Turner, Martin A. Trefzer, Michael A. Lones, Andy M. Tyrrell
2015	—	`conf`	Evolving Ensembles: What Can We Learn from Biological Mutualisms? IPCAT Michael A. Lones, Stuart E. Lacy, Stephen L. Smith
2015	B	`conf`	Forming classifier ensembles with multimodal Evolutionary Algorithms. CEC Stuart E. Lacy, Michael A. Lones, Stephen L. Smith
2015	—	`conf`	Harmonic Versus Chaos Controlled Oscillators in Hexapedal Locomotion. IPCAT Luis A. Fuente, Michael A. Lones, Nigel T. Crook, Tjeerd Olde Scheper
2015	—	`ed.`	Information Processing in Cells and Tissues - 10th International Conference, IPCAT 2015, San Diego, CA, USA, September 14-16, 2015, Proceedings IPCAT Michael A. Lones, Andy M. Tyrrell, Stephen L. Smith, Gary B. Fogel
2015	—	`ch.`	Medical Applications of Evolvable Hardware. Evolvable Hardware Michael A. Lones, Stephen L. Smith
2014	J	`jnl`	Artificial Biochemical Networks: Evolving Dynamical Systems to Control Dynamical Systems. IEEE Trans. Evol. Comput. Michael A. Lones, Luis A. Fuente, Alexander P. Turner, Leo S. D. Caves, Susan Stepney, Stephen L. Smith, Andy M. Tyrrell
2014	—	`conf`	Classification and characterisation of movement patterns during levodopa therapy for parkinson's disease. GECCO (Companion) Michael A. Lones, Jane E. Alty, Philippa Duggan-Carter, Andrew James Turner, D. R. Stuart Jamieson, Stephen L. Smith
2014	J	`jnl`	Evolving Classifiers to Recognize the Movement Characteristics of Parkinson's Disease Patients. IEEE Trans. Evol. Comput. Michael A. Lones, Stephen L. Smith, Jane E. Alty, Stuart E. Lacy, Katherine L. Possin, D. R. Stuart Jamieson, Andy M. Tyrrell
2014	—	`conf`	Metaheuristics in nature-inspired algorithms. GECCO (Companion) Michael A. Lones
2013	B	`conf`	Adaptive robotic gait control using coupled artificial signalling networks, hopf oscillators and inverse kinematics. IEEE Congress on Evolutionary Computation Luis A. Fuente, Michael A. Lones, Alexander P. Turner, Leo S. D. Caves, Susan Stepney, Andy M. Tyrrell
2013	J	`jnl`	Biochemical connectionism. Nat. Comput. Michael A. Lones, Alexander P. Turner, Luis A. Fuente, Susan Stepney, Leo S. D. Caves, Andy M. Tyrrell
2013	—	`conf`	Characterisation of movement disorder in parkinson's disease using evolutionary algorithms. GECCO (Companion) Stuart E. Lacy, Michael A. Lones, Stephen L. Smith, Jane E. Alty, D. R. Stuart Jamieson, Katherine L. Possin, Norbert Schuff
2013	J	`jnl`	Characterising neurological time series data using biologically motivated networks of coupled discrete maps. Biosyst. Michael A. Lones, Stephen L. Smith, Andy M. Tyrrell, Jane E. Alty, D. R. Stuart Jamieson
2013	J	`jnl`	Computational models of signalling networks for non-linear control. Biosyst. Luis A. Fuente, Michael A. Lones, Alexander P. Turner, Susan Stepney, Leo S. D. Caves, Andy M. Tyrrell
2013	—	`conf`	Evolving classifiers to inform clinical assessment of Parkinson's disease. CICARE Michael A. Lones, Jane E. Alty, Stuart E. Lacy, D. R. Stuart Jamieson, Katherine L. Possin, Norbert Schuff, Stephen L. Smith
2013	J	`jnl`	Special issue on the frontiers of natural computing. Nat. Comput. Michael A. Lones, Andy M. Tyrrell, Susan Stepney, Leo S. D. Caves
2013	—	`conf`	The artificial epigenetic network. ICES Alexander P. Turner, Michael A. Lones, Luis A. Fuente, Susan Stepney, Leo S. D. Caves, Andy M. Tyrrell
2013	J	`jnl`	The incorporation of epigenetics in artificial gene regulatory networks. Biosyst. Alexander P. Turner, Michael A. Lones, Luis A. Fuente, Susan Stepney, Leo S. D. Caves, Andy M. Tyrrell
2012	—	`conf`	Evolved Artificial Signalling Networks for the Control of a Conservative Complex Dynamical System. IPCAT Luis A. Fuente, Michael A. Lones, Alexander P. Turner, Susan Stepney, Leo S. D. Caves, Andy M. Tyrrell
2012	—	`conf`	Evolving Computational Dynamical Systems to Recognise Abnormal Human Motor Function. IPCAT Michael A. Lones, Stephen L. Smith, Andy M. Tyrrell, Jane E. Alty, D. R. Stuart Jamieson
2012	—	`ed.`	Information Processign in Cells and Tissues - 9th International Conference, IPCAT 2012, Cambridge, UK, March 31 - April 2, 2012. Proceedings IPCAT Michael A. Lones, Stephen L. Smith, Sarah A. Teichmann, Felix Naef, James Alfred Walker, Martin Trefzer
2012	—	`conf`	Using Artificial Epigenetic Regulatory Networks to Control Complex Tasks within Chaotic Systems. IPCAT Alexander P. Turner, Michael A. Lones, Luis A. Fuente, Susan Stepney, Leo S. D. Caves, Andy M. Tyrrell
2011	—	`conf`	Controlling legged robots with coupled artificial biochemical networks. ECAL Michael A. Lones, Andy M. Tyrrell, Susan Stepney, Leo S. D. Caves
2011	—	`ch.`	Objective Assessment of Visuo-spatial Ability using Implicit Context Representation Cartesian Genetic Programming. Genetic and Evolutionary Computation: Medical Applications Michael A. Lones, Stephen L. Smith
2011	J	`jnl`	Sean Luke: essentials of metaheuristics. Genet. Program. Evolvable Mach. Michael A. Lones
2010	B	`conf`	Controlling Complex Dynamics with Artificial Biochemical Networks. EuroGP Michael A. Lones, Andy M. Tyrrell, Susan Stepney, Leo S. D. Caves
2010	B	`conf`	Discriminating normal and cancerous thyroid cell lines using implicit context representation Cartesian genetic programming. IEEE Congress on Evolutionary Computation Michael A. Lones, Stephen L. Smith, Andrew T. Harris, Alec S. High, Sheila E. Fisher, D. Alastair Smith, Jennifer Kirkham
2009	B	`conf`	Implicit Context Representation Cartesian Genetic Programming for the assessment of visuo-spatial ability. IEEE Congress on Evolutionary Computation Stephen L. Smith, Michael A. Lones
2007	B	`conf`	A co-evolutionary framework for regulatory motif discovery. IEEE Congress on Evolutionary Computation Michael A. Lones, Andy M. Tyrrell
2007	J	`jnl`	Regulatory Motif Discovery Using a Population Clustering Evolutionary Algorithm. IEEE ACM Trans. Comput. Biol. Bioinform. Michael A. Lones, Andy M. Tyrrell
2005	—	`conf`	The evolutionary computation approach to motif discovery in biological sequences. GECCO Workshops Michael A. Lones, Andrew M. Tyrrell
2004	—	`ch.`	Enzyme Genetic Programming. Cellular Computing Michael A. Lones, Andy M. Tyrrell
2002	J	`jnl`	Biomimetic Representation with Genetic Programming Enzyme. Genet. Program. Evolvable Mach. Michael A. Lones, Andrew M. Tyrrell
2002	B	`conf`	Crossover and bloat in the functionality model of enzyme genetic programming. IEEE Congress on Evolutionary Computation Michael A. Lones, Andy M. Tyrrell
2001	B	`conf`	Enzyme genetic programming. CEC Michael A. Lones, Andy M. Tyrrell