Michael Lones
Michael Lones
Associate Professor, Department of Computer Science, Heriot-Watt University
Verified email at hw.ac.uk - Homepage
Cited by
Cited by
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
Metaheuristics in nature-inspired algorithms
MA Lones
Proceedings of the Companion Publication of the 2014 Annual Conference on …, 2014
Regulatory motif discovery using a population clustering evolutionary algorithm
MA Lones, AM Tyrrell
Computational Biology and Bioinformatics, IEEE/ACM Transactions on 4 (3 …, 2007
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
Enzyme genetic programming
MA Lones, AM Tyrrell
Evolutionary Computation, 2001. Proceedings of the 2001 Congress on 2, 1183 …, 2001
Biomimetic representation with enzyme genetic programming
MA Lones, AM Tyrrell
Genetic Programming and Evolvable Machines 3 (2), 193-217, 2002
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
Modelling biological evolvability: Implicit context and variation filtering in enzyme genetic programming
MA Lones, AM Tyrrell
BioSystems 76 (1-3), 229-238, 2004
Mitigating metaphors: A comprehensible guide to recent nature-inspired algorithms
MA Lones
SN Computer Science 1 (1), 49, 2020
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
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
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
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
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
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
Enzyme genetic programming: Modelling biological evolvability in genetic programming
MA Lones
Evolutionary algorithms
D Corne, MA Lones
Handbook of Heuristics, 1-22, 2018
Discriminating normal and cancerous thyroid cell lines using implicit context representation Cartesian genetic programming
MA Lones, SL Smith, AT Harris, AS High, SE Fisher, DA Smith, J Kirkham
Evolutionary Computation (CEC), 2010 IEEE Congress on, 1-6, 2010
Enzyme genetic programming
MA Lones, AM Tyrrell
Cellular computing, 18-42, 2004
Crossover and bloat in the functionality model of enzyme genetic programming
MA Lones, AM Tyrrell
Evolutionary Computation, 2002. CEC'02. Proceedings of the 2002 Congress on …, 2002
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