Potential for Raman spectroscopy to provide cancer screening using a peripheral blood sample AT Harris, A Lungari, CJ Needham, SL Smith, MA Lones, SE Fisher, ... Head & neck oncology 1 (1), 1-8, 2009 | 93 | 2009 |
Metaheuristics in nature-inspired algorithms MA Lones Proceedings of the Companion Publication of the 2014 Annual Conference on …, 2014 | 92 | 2014 |
Evolving classifiers to recognise the movement characteristics of parkinson's disease patients M Lones, S Smith, J Alty, S Lacy, K Possin, S Jamieson, A Tyrrell IEEE Transactions on Evolutionary Computation, 1-1, 2013 | 72 | 2013 |
Mitigating metaphors: A comprehensible guide to recent nature-inspired algorithms MA Lones SN Computer Science 1 (1), 49, 2020 | 71 | 2020 |
Regulatory motif discovery using a population clustering evolutionary algorithm MA Lones, AM Tyrrell Computational Biology and Bioinformatics, IEEE/ACM Transactions on 4 (3 …, 2007 | 66 | 2007 |
Objective assessment of bradykinesia in Parkinson’s disease using evolutionary algorithms: clinical validation C Gao, S Smith, M Lones, S Jamieson, J Alty, J Cosgrove, P Zhang, J Liu, ... Translational Neurodegeneration 7 (1), 18, 2018 | 47 | 2018 |
Using echo state networks for classification: A case study in Parkinson's disease diagnosis SE Lacy, SL Smith, MA Lones Artificial intelligence in medicine 86, 53-59, 2018 | 46 | 2018 |
Evolutionary algorithms D Corne, MA Lones Handbook of Heuristics, 1-22, 2018 | 42 | 2018 |
Biochemical fingerprint of colorectal cancer cell lines using label‐free live single‐cell Raman spectroscopy J Gala de Pablo, FJ Armistead, SA Peyman, D Bonthron, M Lones, ... Journal of Raman Spectroscopy 49 (8), 1323-1332, 2018 | 41 | 2018 |
Biomimetic representation with enzyme genetic programming MA Lones, AM Tyrrell Genetic Programming and Evolvable Machines 3 (2), 193-217, 2002 | 39* | 2002 |
Enzyme genetic programming MA Lones, AM Tyrrell Evolutionary Computation, 2001. Proceedings of the 2001 Congress on 2, 1183 …, 2001 | 38 | 2001 |
How to avoid machine learning pitfalls: a guide for academic researchers MA Lones arXiv preprint arXiv:2108.02497, 2021 | 37 | 2021 |
The evolutionary computation approach to motif discovery in biological sequences MA Lones, AM Tyrrell Proceedings of the 2005 workshops on Genetic and evolutionary computation, 1-11, 2005 | 35 | 2005 |
Modelling biological evolvability: Implicit context and variation filtering in enzyme genetic programming MA Lones, AM Tyrrell BioSystems 76 (1-3), 229-238, 2004 | 32 | 2004 |
Controlling Complex Dynamics with Artificial Biochemical Networks MA Lones, AM Tyrrell, S Stepney, LS Caves Genetic Programming: 13th European Conference, EuroGP 2010, Istanbul, Turkey …, 2010 | 31* | 2010 |
Machine learning discriminates a movement disorder in a zebrafish model of Parkinson's disease GL Hughes, MA Lones, M Bedder, PD Currie, SL Smith, ME Pownall Disease models & mechanisms 13 (10), dmm045815, 2020 | 29 | 2020 |
A New Evolutionary Algorithm-Based Home Monitoring Device for Parkinson’s Dyskinesia MA Lones, JE Alty, J Cosgrove, P Duggan-Carter, S Jamieson, RF Naylor, ... Journal of medical systems 41 (11), 176, 2017 | 28 | 2017 |
Computational approaches for understanding the diagnosis and treatment of Parkinson's disease SL Smith, MA Lones, M Bedder, JE Alty, J Cosgrove, RJ Maguire, ... IET systems biology 9 (6), 226-233, 2015 | 26 | 2015 |
Enzyme genetic programming: Modelling biological evolvability in genetic programming MA Lones | 26 | 2003 |
Artificial Biochemical Networks: Evolving Dynamical Systems to Control Dynamical Systems M Lones, A Turner, L Caves, S Stepney, S Smith, A Tyrrell IEEE Transactions on Evolutionary Computation 18 (2), 145-166, 2014 | 25 | 2014 |