Parallel Approaches to the Segmentation of Free-Hand Drawings. - Richard Canham; Stephen L. Smith 002; Andrew M. Tyrrell (EUROMICRO, 1996)

Image analysis of neuropsychological test responses. - Stephen L. Smith 002; Darren L. Hiller (Image Processing, 1996)

Motion Curves in Music: The Statistical Analysis of Midi Data. - M. Das; David M. Howard 001; Stephen L. Smith 002 (EUROMICRO, 1999)

Design of highly parallel edge detection nodes using evolutionary techniques. - Gordon Hollingworth; Stephen L. Smith 002; Andrew M. Tyrrell (PDP, 1999)

Automated Scoring of a Neuropsychological Test: The Rey Osterrieth Complex Figure. - Richard Canham; Stephen L. Smith 002; Andrew M. Tyrrell (EUROMICRO, 2000)

Quantative 3D Modelling of the Left Ventrical from Ultrasound Images. - B. C. Scowen; Stephen L. Smith 002; M. A. Vannan (EUROMICRO, 2000)

Heterogeneous distributed and parallel architectures: Hardware, software and design tools. - Andy M. Tyrrell; Stephen L. Smith 002 (J. Syst. Archit., 2000)

Recognition and Grading of Severely Distorted Geometric Shapes from within a Complex Figure. - Richard Canham; Stephen L. Smith 002; Andrew M. Tyrrell (Pattern Anal. Appl., 2000)

Evolutionary Strategies And Intrinsic Fault Tolerance. - Andrew M. Tyrrell; Gordon Hollingworth; Stephen L. Smith 002 (Evolvable Hardware, 2001)

Evolving Image Processing Operations for an Evolvable Hardware Environment. - Stephen L. Smith 002; David P. Crouch; Andrew M. Tyrrell (ICES, 2003)

Digital Circuit Design using Intrinsic Evolvable Hardware. - Yang Zhang; Stephen L. Smith 002; Andy M. Tyrrell (Evolvable Hardware, 2004)

Intrinsic Evolvable Hardware in Digital Filter Design. - Yang Zhang; Stephen L. Smith 002; Andrew M. Tyrrell (EvoWorkshops, 2004)

The performance of polyploid evolutionary algorithms is improved both by having many chromosomes and by having many copies of each chromosome on symbolic regression problems. - Rachel Cavill; Stephen L. Smith 002; Andy Terrell (Congress on Evolutionary Computation, 2005)

A self-adaptive mate selection model for genetic programming. - Rodney Fry; Stephen L. Smith 002; Andy M. Tyrrell (Congress on Evolutionary Computation, 2005)

An Implicit Context Representation for Evolving Image Processing Filters. - Stephen L. Smith 002; Stefan Leggett; Andrew M. Tyrrell (EvoWorkshops, 2005)

Multi-chromosomal genetic programming. - Rachel Cavill; Stephen L. Smith 002; Andrew M. Tyrrell (GECCO, 2005)

Benefits of Employing an Implicit Context Representation on Hardware Geometry of CGP. - Xinye Cai; Stephen L. Smith 002; Andrew M. Tyrrell (ICES, 2005)

Positional Independence and Recombination in Cartesian Genetic Programming. - Xinye Cai; Stephen L. Smith 002; Andy M. Tyrrell (EuroGP, 2006)

Variable length genetic algorithms with multiple chromosomes on a variant of the Onemax problem. - Rachel Cavill; Stephen L. Smith 002; Andy M. Tyrrell (GECCO, 2006)

Redundancy and Computational Efficiency in Cartesian Genetic Programming. - Julian F. Miller; Stephen L. Smith 002 (IEEE Trans. Evol. Comput., 2006)

Introduction to the special issue on medical applications of Genetic and Evolutionary Computation. - Stephen L. Smith 002; Stefano Cagnoni (Genet. Program. Evolvable Mach., 2007)

Diagnosis of Parkinson's disease using evolutionary algorithms. - Stephen L. Smith 002; Patrick Gaughan; David M. Halliday; Quan Ju; Nabil M. Aly; Jeremy R. Playfer (Genet. Program. Evolvable Mach., 2007)

Towards an objective assessment of alzheimer's disease: the application of a novel evolutionary algorithm in the analysis of figure copying tasks. - Alex Hazell; Stephen L. Smith 002 (GECCO (Companion), 2008)

Hardware Acceleration of an Immune Network Inspired Evolutionary Algorithm for Medical Diagnosis. - Stephen L. Smith 002; Andrew J. Greensted; Jon Timmis (ICES, 2008)

An immune network inspired evolutionary algorithm for the diagnosis of Parkinson's disease. - Stephen L. Smith 002; Jon Timmis (Biosyst., 2008)

Implicit Context Representation Cartesian Genetic Programming for the assessment of visuo-spatial ability. - Stephen L. Smith 002; Michael A. Lones (IEEE Congress on Evolutionary Computation, 2009)

Multiple Network CGP for the Classification of Mammograms. - Katharina Völk; Julian F. Miller; Stephen L. Smith 002 (EvoWorkshops, 2009)

Parallel evolution using multi-chromosome cartesian genetic programming. - James Alfred Walker; Katharina Völk; Stephen L. Smith 002; Julian Francis Miller (Genet. Program. Evolvable Mach., 2009)

Discriminating normal and cancerous thyroid cell lines using implicit context representation Cartesian genetic programming. - Michael A. Lones; Stephen L. Smith 002; Andrew T. Harris; Alec S. High; Sheila E. Fisher; D. Alastair Smith; Jennifer Kirkham (IEEE Congress on Evolutionary Computation, 2010)

The Yorkshire Enterprise Fellowship: A framework for successful commercialization of computational intelligence research. - Stephen L. Smith 002 (FUZZ-IEEE, 2010)

Detection of microcalcifications in mammograms using multi-chromosome Cartesian genetic programming. - Julian F. Miller; Stephen L. Smith 002; Yuan Zhang (GECCO (Companion), 2010)

Objective Assessment of Visuo-spatial Ability using Implicit Context Representation Cartesian Genetic Programming. - Michael A. Lones; Stephen L. Smith 002 (Genetic and Evolutionary Computation: Medical Applications, 2011)

Cartesian Genetic Programming and its Application to Medical Diagnosis. - Stephen L. Smith 002 (IEEE Comput. Intell. Mag., 2011)

Medical Applications of Cartesian Genetic Programming. - Stephen L. Smith 002; James Alfred Walker; Julian F. Miller (Cartesian Genetic Programming, 2011)

Evolving Computational Dynamical Systems to Recognise Abnormal Human Motor Function. - Michael A. Lones; Stephen L. Smith 002; Andy M. Tyrrell; Jane E. Alty; D. R. Stuart Jamieson (IPCAT, 2012)

Evolving classifiers to inform clinical assessment of Parkinson's disease. - Michael A. Lones; Jane E. Alty; Stuart E. Lacy; D. R. Stuart Jamieson; Katherine L. Possin; Norbert Schuff; Stephen L. Smith 002 (CICARE, 2013)

Characterisation of movement disorder in parkinson's disease using evolutionary algorithms. - Stuart E. Lacy; Michael A. Lones; Stephen L. Smith 002; Jane E. Alty; D. R. Stuart Jamieson; Katherine L. Possin; Norbert Schuff (GECCO (Companion), 2013)

Characterising neurological time series data using biologically motivated networks of coupled discrete maps. - Michael A. Lones; Stephen L. Smith 002; Andy M. Tyrrell; Jane E. Alty; D. R. Stuart Jamieson (Biosyst., 2013)

Editorial. - Stephen L. Smith 002 (Biosyst., 2013)

Classification and characterisation of movement patterns during levodopa therapy for parkinson's disease. - Michael A. Lones; Jane E. Alty; Philippa Duggan-Carter; Andrew James Turner; D. R. Stuart Jamieson; Stephen L. Smith 002 (GECCO (Companion), 2014)

Artificial Biochemical Networks: Evolving Dynamical Systems to Control Dynamical Systems. - Michael A. Lones; Luis A. Fuente; Alexander P. Turner; Leo S. D. Caves; Susan Stepney; Stephen L. Smith 002; Andy M. Tyrrell (IEEE Trans. Evol. Comput., 2014)

Evolving Classifiers to Recognize the Movement Characteristics of Parkinson's Disease Patients. - Michael A. Lones; Stephen L. Smith 002; Jane E. Alty; Stuart E. Lacy; Katherine L. Possin; D. R. Stuart Jamieson; Andy M. Tyrrell (IEEE Trans. Evol. Comput., 2014)

A comparison of evolved linear and non-linear ensemble vote aggregators. - Stuart E. Lacy; Michael A. Lones; Stephen L. Smith 002 (CEC, 2015)

Forming classifier ensembles with multimodal Evolutionary Algorithms. - Stuart E. Lacy; Michael A. Lones; Stephen L. Smith 002 (CEC, 2015)

Evolving Ensembles: What Can We Learn from Biological Mutualisms? - Michael A. Lones; Stuart E. Lacy; Stephen L. Smith 002 (IPCAT, 2015)

Automated Motion Analysis of Adherent Cells in Monolayer Culture. - Zhen Zhang 005; Matthew Bedder; Stephen L. Smith 002; Dawn C. Walker; Saqib Shabir; Jennifer Southgate (IPCAT, 2015)

Medical Applications of Evolvable Hardware. - Michael A. Lones; Stephen L. Smith 002 (Evolvable Hardware, 2015)

Medical Applications of Evolutionary Computation. - Stephen L. Smith 002 (GECCO (Companion), 2016)

MedGEC'16 Chairs' Welcome. - Stephen L. Smith 002; Stefano Cagnoni; Robert M. Patton (GECCO (Companion), 2016)

A Multi-Objective Approach to Predicting Motor and Cognitive Deficit in Parkinson's Disease Patients. - Marta Vallejo; Jeremy Cosgrove; Jane E. Alty; Stuart Jamieson; Stephen L. Smith 002; David W. Corne; Michael A. Lones (GECCO (Companion), 2016)

Using Multiobjective Evolutionary Algorithms to Understand Parkinson's Disease. - Marta Vallejo; Jeremy Cosgrove; Jane E. Alty; Stephen L. Smith 002; David W. Corne; Michael A. Lones (GECCO (Companion), 2016)

Exploring diagnostic models of Parkinson's disease with multi-objective regression. - Marta Vallejo; Stuart Jamieson; Jeremy Cosgrove; Stephen L. Smith 002; Michael A. Lones; Jane E. Alty; David W. Corne (SSCI, 2016)

Using epigenetic networks for the analysis of movement associated with levodopa therapy for Parkinson's disease. - Alexander P. Turner; Michael A. Lones; Martin A. Trefzer; Stephen L. Smith 002; Stuart Jamieson; Jane E. Alty; Jeremy Cosgrove; Andy M. Tyrrell (Biosyst., 2016)

2015 Information Processing in Cells and Tissues (IPCAT 2015). - Andy M. Tyrrell; Michael A. Lones; Stephen L. Smith 002; Gary B. Fogel (Biosyst., 2016)

Characterization and classification of adherent cells in monolayer culture using automated tracking and evolutionary algorithms. - Zhen Zhang 005; Matthew Bedder; Stephen L. Smith 002; Dawn C. Walker; Saqib Shabir; Jennifer Southgate (Biosyst., 2016)

Objective Assessment of Cognitive Impairment in Parkinson's Disease Using Evolutionary Algorithm. - Chiara Picardi; Jeremy Cosgrove; Stephen L. Smith 002; Stuart Jamieson; Jane E. Alty (EvoApplications (1), 2017)

Going through directional changes: evolving human movement classifiers using an event based encoding. - Michael A. Lones; Jane E. Alty; Jeremy Cosgrove; Stuart Jamieson; Stephen L. Smith 002 (GECCO (Companion), 2017)

Using biometric-based identification systems in Brazil: A review on low cost fingerprint techniques on-the-go. - Márjory Da Costa-Abreu; Stephen L. Smith 002 (Comput. Law Secur. Rev., 2017)

A New Evolutionary Algorithm-Based Home Monitoring Device for Parkinson's Dyskinesia. - Michael A. Lones; Jane E. Alty; Jeremy Cosgrove; Philippa Duggan-Carter; Stuart Jamieson; Rebecca F. Naylor; Andrew James Turner; Stephen L. Smith 002 (J. Medical Syst., 2017)

Objective Evaluation of Bradykinesia in Parkinson's Disease using Evolutionary Algorithms. - Siti Anizah Muhamed; Rachel Newby; Stephen L. Smith 002; Jane E. Alty; Stuart Jamieson; Peter Kempster (BIOSIGNALS, 2018)

Classification of resting-state fMRI for olfactory dysfunction in parkinson's disease using evolutionary algorithms. - Amir Dehsarvi; Stephen L. Smith 002 (GECCO (Companion), 2018)

Using echo state networks for classification: A case study in Parkinson's disease diagnosis. - Stuart E. Lacy; Stephen L. Smith 002; Michael A. Lones (Artif. Intell. Medicine, 2018)

Application of classification for figure copying test in Parkinson's disease diagnosis by using cartesian genetic programming. - Tian Xia; Jeremy Cosgrove; Jane E. Alty; Stuart Jamieson; Stephen L. Smith 002 (GECCO (Companion), 2019)

Classification of Resting-State fMRI using Evolutionary Algorithms: Towards a Brain Imaging Biomarker for Parkinson's Disease. - Amir Dehsarvi; Stephen L. Smith 002 (CoRR, 2019)

Towards Monitoring Parkinson's Disease Following Drug Treatment: CGP Classification of rs-MRI Data. - Amir Dehsarvi; Jennifer Kay South Palomares; Stephen Leslie Smith (CoRR, 2019)

Evaluation of Recurrent Neural Network Models for Parkinson's Disease Classification Using Drawing Data. - Arjun Shenoy A. V; Michael A. Lones; Stephen L. Smith 002; Marta Vallejo (EMBC, 2021)

Evolutionary Design of Reduced Precision Levodopa-Induced Dyskinesia Classifiers. - Martin Hurta; Michaela Drahosova; Lukás Sekanina; Stephen L. Smith 002; Jane E. Alty (EuroGP, 2022)

Towards Automated Monitoring of Parkinson's Disease Following Drug Treatment. - Amir Dehsarvi; Jennifer Kay South Palomares; Stephen Leslie Smith (ICPRAI (2), 2022)

Parkinson's disease diagnosis using convolutional neural networks and figure-copying tasks. - Mohamad Alissa; Michael A. Lones; Jeremy Cosgrove; Jane E. Alty; Stuart Jamieson; Stephen L. Smith 002; Marta Vallejo (Neural Comput. Appl., 2022)

Deep Learning-Based Fall Detection Using WiFi Channel State Information. - Yi Chu; Kanapathippillai Cumanan; Sathish K. SankarPandi; Stephen L. Smith 002; Octavia A. Dobre (IEEE Access, 2023)