Evolving Computational Dynamical Systems to Recognise Abnormal Human Motor Function
M.A. Lones, S. L. Smith, A.M. Tyrrell, J. E. Alty and D. R. S. Jamieson
Proc. 9th Int. Conf. on Information Processing in Cells and Tissues, LNCS 7223, Cambridge, March 2012.

Using Artificial Epigenetic Regulatory Networks To Control Complex Tasks Within Chaotic Systems
A. P. Turner, M. A. Lones, L. A. Fuente, A.M. Tyrrell, S. Stepney and L. S. D. Caves
Proc. 9th Int. Conf. on Information Processing in Cells and Tissues, LNCS 7223, Cambridge, March 2012.

Evolved Artificial Signalling Networks for the Control of a Conservative Complex Dynamical System
L. A. Fuente, M. A. Lones, A. P. Turner, A.M. Tyrrell, S. Stepney and L. S. D. Caves
Proc. 9th Int. Conf. on Information Processing in Cells and Tissues, LNCS 7223, Cambridge, March 2012.

Computer Assisted diagnosis and monitoring of Parkinson's Disease
J. E. Alty, D. R. S. Jamieson, S. L. Smith and M. A. Lones
Annual Meeting of the Association of British Neurologists, Newcastle, October 2011.

Controlling Legged Robots with Coupled Artificial Biochemical Networks  [PDF]  [link]
M. A. Lones, A. M. Tyrrell, S. Stepney and L. Caves
Proc. European Conference on Artificial Life (ECAL) 2011, August 2011.

Chromatin Inspired Artificial Gene Regulatory Network
A. P. Turner, M. A. Lones, A. M. Tyrrell, S. Stepney and L. S. D. Caves
Proc. 5th Int. Workshop on Self-Organising Systems, Karlsruhe, February 2011.

Robotic Control with Cell Signalling Pathways in Artificial Biochemical Networks
L. A. Fuente, M. A. Lones, A. M. Tyrrell, S. Stepney and L. S. D. Caves
Proc. 5th Int. Workshop on Self-Organising Systems, Karlsruhe, February 2011.

Controlling Complex Dynamics with Artificial Biochemical Networks  [PDF]  [link]
M. A. Lones, A. M. Tyrrell, S. Stepney and L. Caves
Proc. European Conference on Genetic Programming (EuroGP) 2010, April 2010.

Discriminating Normal and Cancerous Thyroid Cell Lines using Implicit Context Representation Cartesian Genetic Programming  [PDF]
M. A. Lones, S. L. Smith, A. T. Harris, A. S. High, S. E. Fisher, D. A. Smith and J. Kirkham
Proc. World Congress on Computational Intelligence (WCCI) 2010, Barcelona, IEEE Press, 2010.

Objective Assessment of Visuo-spatial Ability using Implicit Context Representation Cartesian Genetic Programming  [link]
M. A. Lones and S. L. Smith
Genetic and Evolutionary Computation: Medical Applications, S. Smith and S. Cagnoni (eds.), Wiley, 2010.

Potential for Raman Spectroscopy to Provide Cancer Screening Using a Peripheral Blood Sample  [PDF]  [link]
A. Harris, A. Lungari, C. Needham, S. Smith, M. Lones, S. Fisher, X. Yang, N. Cooper, J. Kirkham, D. Smith, D. Martin-Hirsch and A. High
Head & Neck Oncology 1:34, September 2009.

Implicit Context Representation Cartesian Genetic Programming for the Assessment of Visuo-Spatial Ability  [PDF]
S. L. Smith and M. A. Lones
Proc. IEEE Congress on Evolutionary Computation (CEC) 2009, Trondheim, May 2009.

Automated Assessment of Parkinson's Disease
S. L. Smith, M. A. Lones, S. Jamieson and G. Scott
White Rose Health Innovation Conference, Harrogate, October 2008.

A User Configured Augmentative Alternative Communication System
S. L. Smith, M. A. Lones and P. O'Neil
White Rose Health Innovation Conference, Harrogate, October 2008.

Raman and Fluorescence Spectroscopy of Blood Plasma in the Diagnosis of Cancer
A. Harris, A. Lungari, M. Garg, N. Cooper, S. Fisher, X. Yang, J. Kirkham, S. Smith, M. Lones, D. Smith, A. High
NCRI Cancer Conference, Birmingham, October 2008.

A Co-Evolutionary Framework for Regulatory Motif Discovery  [PDF]
M. A. Lones and A. M. Tyrrell
Proc. IEEE Congress on Evolutionary Computation (CEC) 2007, Singapore, September 2007.

Regulatory Motif Discovery Using a Population Clustering Evolutionary Algorithm  [PDF]  [link]
M. A. Lones and A. M. Tyrrell
IEEE/ACM Transactions on Computational Biology and Bioinformatics 4(3):403-414, July-September 2007.

The Evolutionary Computation Approach to Motif Discovery in Biological Sequences  [PDF]
M. A. Lones and A. M. Tyrrell
Proc. Workshop on Biological Applications of Genetic and Evolutionary Computation (BioGEC), GECCO2005, Washington D.C., June 2005.

Enzyme Genetic Programming: Modelling Biological Evolvability in Genetic Programming  [PDF]  [HTML]
M. A. Lones
Ph.D. Thesis, Department of Electronics, University of York, 2004.

Modelling Biological Evolvability: Implicit Context and Variation Filtering in Enzyme Genetic Programming  [PDF]  [link]
M. A. Lones and A. M. Tyrrell
BioSystems 76(1-3):229-238, August-October 2004.

Enzyme Genetic Programming  [link]
M. A. Lones and A. M. Tyrrell
Cellular Computing, M. Amos (ed), Series in Systems Biology, Oxford University Press, 2004.

Modelling Biological Evolvability: Implicit Context and Variation Filtering in Enzyme Genetic Programming  [PDF]
M. A. Lones and A. M. Tyrrell
Proc. 5th Int. Workshop on Information Processing in Cells and Tissues (IPCAT2003), Lausanne, 2003.

Evolvability: From Biology to Genetic Programming
M. A. Lones and A. M. Tyrrell
Proc. EPSRC Symposium on Evolvability and Individuality, St. Albans, September 2002.

Crossover and Bloat in the Functionality Model of Enzyme Genetic Programming  [PDF]
M. A. Lones and A. M. Tyrrell
Proc. World Congress on Computational Intelligence (WCCI) 2002, Hawaii, IEEE Press, 2002.

Biomimetic Representation with Enzyme Genetic Programming  [PDF]  [link]
M. A. Lones and A. M. Tyrrell
Genetic Programming and Evolvable Machines 3(2):193-217, June 2002
(Note: title was published incorrectly as "Biomimetic Representation with Genetic Programming Enzyme") .

Pathways into Genetic Programming  [PDF]
M. A. Lones and A. M. Tyrrell
Proc. Graduate Student Workshop, GECCO2001, San Francisco, 2001.

Biomimetic Representation in Genetic Programming  [PDF]
M. A. Lones and A. M. Tyrrell
Proc. Computation in Gene Expression Workshop, GECCO2001, San Francisco, 2001.

Enzyme Genetic Programming  [PDF]
M. A. Lones and A. M. Tyrrell
Proc. IEEE Congress on Evolutionary Computation (CEC) 2001, Seoul, IEEE Press, 2001.

Evolve or Die  [link]
Duncan Graham-Rowe, New Scientist, October 2001.