Going Through Directional Changes: Evolving Human Movement Classifiers Using an Event Based Encoding
M. A. Lones, J. E. Alty, J. Cosgrove, S. Jamieson, S. L. Smith
Proc. GECCO 2017, MedGEC Workshop on medical applications, ACM, July 2017, to appear.

Artificial Epigenetic Networks: Automatic Decomposition of Dynamical Control Tasks using Topological Self-Modification  [PDF]  [link]
A. P. Turner, L. S. D. Caves, S. Stepney, A. M. Tyrrell and M. A. Lones
IEEE Transactions on Neural Networks and Learning Systems 28(1):218-230, 2017.

Exploring Diagnostic Models of Parkinson's Disease with Multi-Objective Regression
M. Vallejo, J. Cosgrove, J. E. Alty, S. Jamieson, S. L. Smith, D. W. Corne and M. A. Lones
Proc. IEEE Symposium Series on Computational Intelligence (SSCI) 2016, to appear.

Evolving Boolean Networks for Biological Control: State Space Targeting in Scale Free Boolean Networks
N. S. Taou, D. W. Corne and M. A. Lones
Proc. IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB) 2016, October 2016.

Using Epigenetic Networks for the Analysis of Movement Associated with Levodopa Therapy for Parkinson's Disease  [link]
A. P. Turner, M. A. Lones, M. A. Trefzer, S. L. Smith, S. Jamieson, J. E. Alty, J. Cosgrove and A. M. Tyrrell
BioSystems 146:35-42, August 2016.

A Multi-Objective Approach to Predicting Motor and Cognitive Deficit in Parkinson's Disease Patients  [link]
M. Vallejo, J. Cosgrove, J. E. Alty, S. Jamieson, S. L. Smith, D. W. Corne and M. A. Lones
Proc. GECCO 2016, MedGEC Workshop on medical applications, ACM, July 2016.

Using Multiobjective Evolutionary Algorithms to Understand Parkinson's Disease
M. Vallejo, J. Cosgrove, J. E. Alty, S. L. Smith, D. W. Corne and M. A. Lones
Proc. 2016 Genetic and Evolutionary Computation Conf. (GECCO 2016), ACM, July 2016.

Towards Intelligent Biological Control: Controlling Boolean Networks with Boolean Networks  [link]
N. Taou, D. W. Corne and M. A. Lones
Proc. EvoComplex 2016, LNCS 9597, Porto, March 2016.

Computing with Artificial Gene Regulatory Networks  [link]
M. A. Lones
Evolutionary Algorithms in Gene Regulatory Network Research, H. Iba and N. Noman (eds), Wiley, 2016.

Information Processing in Cells and Tissues  [link]
M. A. Lones, A. M Tyrrell, S. L. Smith and G. Fogel
Lecture Notes in Computer Science 9303, Springer, September 2015.

Computational approaches for understanding the diagnosis and treatment of Parkinson's disease  [link]
S. L. Smith, M. A. Lones, M. Bedder, J. E. Alty, J. Cosgrove, R. J. Maguire, M. E. Pownall, D. Ivanoiu, C. Lyle, A. Cording and C. J. H. Elliott
IET Systems Biology 9(6):226-233, December 2015.

Evolving Ensembles: What can we learn from biological mutualisms?  [link]
M. A. Lones, S. E. Lacy and S. L. Smith
Proc. 10th Int. Conf. on Information Processing in Cells and Tissues, 2015.

Harmonic versus Chaos Controlled Oscillators in Hexapedal Locomotion  [link]
L. A. Fuente, M. A. Lones, N. Crook and T. Olde Scheper
Proc. 10th Int. Conf. on Information Processing in Cells and Tissues, 2015.

Evolving efficient solutions to complex problems using the Artificial Epigenetic Network  [link]
A. P. Turner, M. A. Lones, M. A. Trefzer and A. M. Tyrrell
Proc. 10th Int. Conf. on Information Processing in Cells and Tissues, 2015.

A Preliminary Study in the use of Data Mining to Determine Patient Survival in Temporal Bone Squamous Cell Carcinoma
A. T. Harris, M. A. Lones, J. Wilson, N. Upile, S. C. Leong and T. H. J. Lesser
Proc. AHNS Annual Meeting 2015.

A Comparison of Evolved Linear and Non-Linear Ensemble Vote Aggregators  [link]
S. E. Lacy, M. A. Lones and S. L. Smith
Proc. IEEE Congress on Evolutionary Computation (CEC) 2015.

Forming Classifier Ensembles with Multimodal Evolutionary Algorithms  [link]
S. E. Lacy, M. A. Lones and S. L. Smith
Proc. IEEE Congress on Evolutionary Computation (CEC) 2015.

Medical Applications of Evolvable Hardware  [link]
M. A. Lones and S. L. Smith
Evolvable Hardware: From Practice to Application, M. Trefzer and A. Tyrrell (eds), Springer, 2015.

Developing a new device for prolonged home monitoring of Parkinson's dyskinesia: provisional results  [link]
J. E. Alty, M. A. Lones, P. Duggan-Carter, A. J. Turner, J. Cosgrove, D. R. S. Jamieson and S. L. Smith
Proc. Parkinson's UK 2014 Conference, November 2014.

Metaheuristics in Nature-Inspired Algorithms  [PDF]
M. A. Lones
Proc. GECCO 2014, Workshop on Metaheuristic Design Patterns, July 2014.

Classification and Characterisation of Movement Patterns During Levodopa Therapy for Parkinson's Disease  [PDF]
M. A. Lones, J. E. Alty, P. Duggan-Carter, A. J. Turner, D. R. S. Jamieson and S. L. Smith
Proc. GECCO 2014, MedGEC Workshop on medical applications, July 2014.

Evolving Classifiers to Recognise the Movement Characteristics of Parkinson's Disease Patients  [PDF]  [link]
M. A. Lones, S. L. Smith, J. E. Alty, S. E. Lacy, K. L. Possin, D. R. S. Jamieson and A. M. Tyrrell
IEEE Transactions on Evolutionary Computation 18(4):559-576, July 2014.

Artificial Biochemical Networks: Evolving Dynamical Systems to Control Dynamical Systems  [PDF]  [link]
M. A. Lones, L. A. Fuente, A. P. Turner, L. S. D. Caves, S. Stepney, S. L. Smith and A. M. Tyrrell
IEEE Transactions on Evolutionary Computation 18(2):145-166, April 2014.

Biochemical Connectionism  [PDF]  [link]
M. A. Lones, A. P. Turner, L. A. Fuente, S. Stepney, L. S. D. Caves and A. M. Tyrrell
Natural Computing 12(2):453-472, December 2013.

Adaptive Robotic Gait Control using coupled Artificial Signalling Networks, Hopf Oscillators and Inverse Kinematics  [link]
L. A. Fuente, M. A. Lones, A. P. Turner, L. Caves, S. Stepney and A. Tyrrell
Proc. IEEE Congress on Evolutionary Computation (CEC 2013).

Characterisation of Movement Disorder in Parkinson's Disease using Evolutionary Algorithms  [link]
S. E. Lacy, M. A. Lones, S. L. Smith, J. E. Alty, D. R. S. Jamieson, K. L. Possin and N. Schuff
Proc. Genetic and Evolutionary Computation Conference (GECCO) 2013.

Evolving Classifiers to Inform Clinical Assessment of Parkinson's Disease  [PDF]
M. A. Lones, J. E. Alty, S. E. Lacy, D. R. S. Jamieson, K. L. Possin, N. Schuff and S. L. Smith
Proc. IEEE Symposium Series on Computational Intelligence (SSCI) 2013.

The Artificial Epigenetic Network  [link]
A. P. Turner, M. A. Lones, L. A. Fuente, S. Stepney, L. S. D. Caves, and A. M. Tyrrell
Proc. 2013 IEEE International Conference on Evolvable Systems (ICES).

Characterising Neurological Time Series Data using Biologically Motivated Networks of Coupled Discrete Maps  [PDF]  [link]
M. A. Lones, S. L. Smith, A. M. Tyrrell, J. E. Alty, D. R. S. Jamieson
BioSystems 112(2):94--101, May 2013

Computational Models of Signalling Networks for Non-linear Control  [link]
L. A. Fuente, M. A. Lones, A. P. Turner, S. Stepney, L. S. D. Caves, and A. M. Tyrrell
BioSystems 112(2):122--130, May 2013

The Incorporation of Epigenetics in Artificial Gene Regulatory Networks  [link]
A. P. Turner, M. A. Lones, L. A. Fuente, S. Stepney, L. S. D. Caves, and A. M. Tyrrell
BioSystems 112(2):56--62, May 2013

Clinically "slight" bradykinesia is accurately detected using a novel device that requires a one-minute test period  [link]
J. E. Alty, M. A. Lones, D. R. S. Jamieson, K. L. Possin, N. Schuff, S. E. Lacy and S. L. Smith
Proc. XXI World Congress of Neurology, Journal of the Neurological Sciences 333, e118-e119

The sequence effect is not a defining characteristic of Parkinson's disease  [link]
J. E. Alty, S. E. Lacy, D. R. S. Jamieson, K. L. Possin, N. Schuff, M. A. Lones and S. L. Smith
Proc. XXI World Congress of Neurology, Journal of the Neurological Sciences 333, e118

How slow is too slow? Objective measurement of bradykinesia in Parkinson's disease using novel non-invasive devices  [link]
J. E. Alty, S. Jamieson, M. A. Lones and S. L. Smith
Proc. Int. Congress on Parkinson's Disease and Movement Disorders, Mov disord 27, Suppl. 1, S91-S92, 2012.

Information Processing in Cells and Tissues  [link]
M. A. Lones, S. L. Smith, S. Teichmann, F. Naef, J. A. Walker and M. A. Trefzer
Lecture Notes in Computer Science 7223, Springer, March 2012.

Evolving Computational Dynamical Systems to Recognise Abnormal Human Motor Function  [PDF]  [link]
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  [link]
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  [link]
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.