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Michael Lones
Michael Lones
Associate Professor, Department of Computer Science, Heriot-Watt University
在 hw.ac.uk 的电子邮件经过验证 - 首页
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引用次数
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年份
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
932009
Metaheuristics in nature-inspired algorithms
MA Lones
Proceedings of the Companion Publication of the 2014 Annual Conference on …, 2014
922014
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
722013
Mitigating metaphors: A comprehensible guide to recent nature-inspired algorithms
MA Lones
SN Computer Science 1 (1), 49, 2020
712020
Regulatory motif discovery using a population clustering evolutionary algorithm
MA Lones, AM Tyrrell
Computational Biology and Bioinformatics, IEEE/ACM Transactions on 4 (3 …, 2007
662007
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
472018
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
462018
Evolutionary algorithms
D Corne, MA Lones
Handbook of Heuristics, 1-22, 2018
422018
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
412018
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
382001
How to avoid machine learning pitfalls: a guide for academic researchers
MA Lones
arXiv preprint arXiv:2108.02497, 2021
372021
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
352005
Modelling biological evolvability: Implicit context and variation filtering in enzyme genetic programming
MA Lones, AM Tyrrell
BioSystems 76 (1-3), 229-238, 2004
322004
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
292020
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
282017
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
262015
Enzyme genetic programming: Modelling biological evolvability in genetic programming
MA Lones
262003
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
252014
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