Stephen L. Smith

Publication Activity (10 Years)

Years Active: 1996-2023
Publications (10 Years): 22

Top Topics

Biochemical Networks

Disease Diagnosis

Movement Patterns

Evolutionary Algorithm

Top Venues

GECCO (Companion)

Publications

Yi Chu, Kanapathippillai Cumanan, Sathish K. SankarPandi, Stephen L. Smith, Octavia A. Dobre
Deep Learning-Based Fall Detection Using WiFi Channel State Information. IEEE Access 11 (2023)
Mohamad Alissa, Michael A. Lones, Jeremy Cosgrove, Jane E. Alty, Stuart Jamieson, Stephen L. Smith, Marta Vallejo
Parkinson's disease diagnosis using convolutional neural networks and figure-copying tasks. Neural Comput. Appl. 34 (2) (2022)
Martin Hurta, Michaela Drahosova, Lukás Sekanina, Stephen L. Smith, Jane E. Alty
Evolutionary Design of Reduced Precision Levodopa-Induced Dyskinesia Classifiers. EuroGP (2022)
Arjun Shenoy A. V, Michael A. Lones, Stephen L. Smith, Marta Vallejo
Evaluation of Recurrent Neural Network Models for Parkinson's Disease Classification Using Drawing Data. EMBC (2021)
Tian Xia, Jeremy Cosgrove, Jane E. Alty, Stuart Jamieson, Stephen L. Smith
Application of classification for figure copying test in Parkinson's disease diagnosis by using cartesian genetic programming. GECCO (Companion) (2019)
Amir Dehsarvi, Stephen L. Smith
Classification of Resting-State fMRI using Evolutionary Algorithms: Towards a Brain Imaging Biomarker for Parkinson's Disease. CoRR (2019)
Amir Dehsarvi, Stephen L. Smith
Classification of resting-state fMRI for olfactory dysfunction in parkinson's disease using evolutionary algorithms. GECCO (Companion) (2018)
Stuart E. Lacy, Stephen L. Smith, Michael A. Lones
Using echo state networks for classification: A case study in Parkinson's disease diagnosis. Artif. Intell. Medicine 86 (2018)
Siti Anizah Muhamed, Rachel Newby, Stephen L. Smith, Jane E. Alty, Stuart Jamieson, Peter Kempster
Objective Evaluation of Bradykinesia in Parkinson's Disease using Evolutionary Algorithms. BIOSIGNALS (2018)
Stephen L. Smith
Medical applications of evolutionary computation. GECCO (Companion) (2018)
Michael A. Lones, Jane E. Alty, Jeremy Cosgrove, Philippa Duggan-Carter, Stuart Jamieson, Rebecca F. Naylor, Andrew J. Turner, Stephen L. Smith
A New Evolutionary Algorithm-Based Home Monitoring Device for Parkinson's Dyskinesia. J. Medical Syst. 41 (11) (2017)
Michael A. Lones, Jane E. Alty, Jeremy Cosgrove, Stuart Jamieson, Stephen L. Smith
Going through directional changes: evolving human movement classifiers using an event based encoding. GECCO (Companion) (2017)
Márjory Da Costa-Abreu, Stephen L. Smith
Using biometric-based identification systems in Brazil: A review on low cost fingerprint techniques on-the-go. Comput. Law Secur. Rev. 33 (5) (2017)
Chiara Picardi, Jeremy Cosgrove, Stephen L. Smith, Stuart Jamieson, Jane E. Alty
Objective Assessment of Cognitive Impairment in Parkinson's Disease Using Evolutionary Algorithm. EvoApplications (1) (2017)
Marta Vallejo, Jeremy Cosgrove, Jane E. Alty, Stuart Jamieson, Stephen L. Smith, David W. Corne, Michael A. Lones
A Multi-Objective Approach to Predicting Motor and Cognitive Deficit in Parkinson's Disease Patients. GECCO (Companion) (2016)
Marta Vallejo, Jeremy Cosgrove, Jane E. Alty, Stephen L. Smith, David W. Corne, Michael A. Lones
Using Multiobjective Evolutionary Algorithms to Understand Parkinson's Disease. GECCO (Companion) (2016)
Stephen L. Smith, Stefano Cagnoni, Robert M. Patton
MedGEC'16 Chairs' Welcome. GECCO (Companion) (2016)
Andy M. Tyrrell, Michael A. Lones, Stephen L. Smith, Gary B. Fogel
2015 Information Processing in Cells and Tissues (IPCAT 2015). Biosyst. 146 (2016)
Alexander P. Turner, Michael A. Lones, Martin A. Trefzer, Stephen L. Smith, Stuart Jamieson, Jane E. Alty, Jeremy Cosgrove, Andy M. Tyrrell
Using epigenetic networks for the analysis of movement associated with levodopa therapy for Parkinson's disease. Biosyst. 146 (2016)
Stephen L. Smith
Medical Applications of Evolutionary Computation. GECCO (Companion) (2016)
Marta Vallejo, Stuart Jamieson, Jeremy Cosgrove, Stephen L. Smith, Michael A. Lones, Jane E. Alty, David W. Corne
Exploring diagnostic models of Parkinson's disease with multi-objective regression. SSCI (2016)
Zhen Zhang, Matthew Bedder, Stephen L. Smith, Dawn C. Walker, Saqib Shabir, Jennifer Southgate
Characterization and classification of adherent cells in monolayer culture using automated tracking and evolutionary algorithms. Biosyst. 146 (2016)
Stuart E. Lacy, Michael A. Lones, Stephen L. Smith
Forming classifier ensembles with multimodal Evolutionary Algorithms. CEC (2015)
Stuart E. Lacy, Michael A. Lones, Stephen L. Smith
A comparison of evolved linear and non-linear ensemble vote aggregators. CEC (2015)
Zhen Zhang, Matthew Bedder, Stephen L. Smith, Dawn C. Walker, Saqib Shabir, Jennifer Southgate
Automated Motion Analysis of Adherent Cells in Monolayer Culture. IPCAT (2015)
Michael A. Lones, Stuart E. Lacy, Stephen L. Smith
Evolving Ensembles: What Can We Learn from Biological Mutualisms? IPCAT (2015)
Stephen L. Smith
Medical Applications of Evolutionary Computation. GECCO (Companion) (2015)
Stephen L. Smith
Medical applications of evolutionary computation. GECCO (Companion) (2014)
Michael A. Lones, Luis A. Fuente, Alexander P. Turner, Leo S. D. Caves, Susan Stepney, Stephen L. Smith, Andy M. Tyrrell
Artificial Biochemical Networks: Evolving Dynamical Systems to Control Dynamical Systems. IEEE Trans. Evol. Comput. 18 (2) (2014)
Michael A. Lones, Stephen L. Smith, Jane E. Alty, Stuart E. Lacy, Katherine L. Possin, D. R. Stuart Jamieson, Andy M. Tyrrell
Evolving Classifiers to Recognize the Movement Characteristics of Parkinson's Disease Patients. IEEE Trans. Evol. Comput. 18 (4) (2014)
Michael A. Lones, Jane E. Alty, Philippa Duggan-Carter, Andrew J. Turner, D. R. Stuart Jamieson, Stephen L. Smith
Classification and characterisation of movement patterns during levodopa therapy for parkinson's disease. GECCO (Companion) (2014)
Stephen L. Smith
Editorial. Biosyst. 112 (2) (2013)
Stuart E. Lacy, Michael A. Lones, Stephen L. Smith, Jane E. Alty, D. R. Stuart Jamieson, Katherine L. Possin, Norbert Schuff
Characterisation of movement disorder in parkinson's disease using evolutionary algorithms. GECCO (Companion) (2013)
Michael A. Lones, Stephen L. Smith, Andy M. Tyrrell, Jane E. Alty, D. R. Stuart Jamieson
Characterising neurological time series data using biologically motivated networks of coupled discrete maps. Biosyst. 112 (2) (2013)
Michael A. Lones, Jane E. Alty, Stuart E. Lacy, D. R. Stuart Jamieson, Katherine L. Possin, Norbert Schuff, Stephen L. Smith
Evolving classifiers to inform clinical assessment of Parkinson's disease. CICARE (2013)
Michael A. Lones, Stephen L. Smith, Andy M. Tyrrell, Jane E. Alty, D. R. Stuart Jamieson
Evolving Computational Dynamical Systems to Recognise Abnormal Human Motor Function. IPCAT (2012)
Stephen L. Smith
Cartesian Genetic Programming and its Application to Medical Diagnosis. IEEE Comput. Intell. Mag. 6 (4) (2011)
Michael A. Lones, Stephen L. Smith, Andrew T. Harris, Alec S. High, Sheila E. Fisher, D. Alastair Smith, Jennifer Kirkham
Discriminating normal and cancerous thyroid cell lines using implicit context representation Cartesian genetic programming. IEEE Congress on Evolutionary Computation (2010)
Julian F. Miller, Stephen L. Smith, Yuan Zhang
Detection of microcalcifications in mammograms using multi-chromosome Cartesian genetic programming. GECCO (Companion) (2010)
Stephen L. Smith
The Yorkshire Enterprise Fellowship: A framework for successful commercialization of computational intelligence research. FUZZ-IEEE (2010)
Stephen L. Smith, Michael A. Lones
Implicit Context Representation Cartesian Genetic Programming for the assessment of visuo-spatial ability. IEEE Congress on Evolutionary Computation (2009)
James Alfred Walker, Katharina Völk, Stephen L. Smith, Julian Francis Miller
Parallel evolution using multi-chromosome cartesian genetic programming. Genet. Program. Evolvable Mach. 10 (4) (2009)
Katharina Völk, Julian F. Miller, Stephen L. Smith
Multiple Network CGP for the Classification of Mammograms. EvoWorkshops (2009)
Alex Hazell, Stephen L. Smith
Towards an objective assessment of alzheimer's disease: the application of a novel evolutionary algorithm in the analysis of figure copying tasks. GECCO (Companion) (2008)
Stephen L. Smith, Jon Timmis
An immune network inspired evolutionary algorithm for the diagnosis of Parkinson's disease. Biosyst. 94 (1-2) (2008)
Stephen L. Smith, Andrew J. Greensted, Jon Timmis
Hardware Acceleration of an Immune Network Inspired Evolutionary Algorithm for Medical Diagnosis. ICES (2008)
Stephen L. Smith, Patrick Gaughan, David M. Halliday, Quan Ju, Nabil M. Aly, Jeremy R. Playfer
Diagnosis of Parkinson's disease using evolutionary algorithms. Genet. Program. Evolvable Mach. 8 (4) (2007)
Stephen L. Smith, Stefano Cagnoni
Introduction to the special issue on medical applications of Genetic and Evolutionary Computation. Genet. Program. Evolvable Mach. 8 (4) (2007)
Xinye Cai, Stephen L. Smith, Andy M. Tyrrell
Positional Independence and Recombination in Cartesian Genetic Programming. EuroGP (2006)
Rachel Cavill, Stephen L. Smith, Andy M. Tyrrell
Variable length genetic algorithms with multiple chromosomes on a variant of the Onemax problem. GECCO (2006)
Julian F. Miller, Stephen L. Smith
Redundancy and Computational Efficiency in Cartesian Genetic Programming. IEEE Trans. Evol. Comput. 10 (2) (2006)
Rachel Cavill, Stephen L. Smith, Andrew M. Tyrrell
Multi-chromosomal genetic programming. GECCO (2005)
Stephen L. Smith, Stefan Leggett, Andrew M. Tyrrell
An Implicit Context Representation for Evolving Image Processing Filters. EvoWorkshops (2005)
Rachel Cavill, Stephen L. Smith, Andy Terrell
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. Congress on Evolutionary Computation (2005)
Rodney Fry, Stephen L. Smith, Andy M. Tyrrell
A self-adaptive mate selection model for genetic programming. Congress on Evolutionary Computation (2005)
Xinye Cai, Stephen L. Smith, Andrew M. Tyrrell
Benefits of Employing an Implicit Context Representation on Hardware Geometry of CGP. ICES (2005)
Yang Zhang, Stephen L. Smith, Andrew M. Tyrrell
Intrinsic Evolvable Hardware in Digital Filter Design. EvoWorkshops (2004)
Yang Zhang, Stephen L. Smith, Andy M. Tyrrell
Digital Circuit Design using Intrinsic Evolvable Hardware. Evolvable Hardware (2004)
Stephen L. Smith, David P. Crouch, Andrew M. Tyrrell
Evolving Image Processing Operations for an Evolvable Hardware Environment. ICES (2003)
Andrew M. Tyrrell, Gordon Hollingworth, Stephen L. Smith
Evolutionary Strategies And Intrinsic Fault Tolerance. Evolvable Hardware (2001)
B. C. Scowen, Stephen L. Smith, M. A. Vannan
Quantative 3D Modelling of the Left Ventrical from Ultrasound Images. EUROMICRO (2000)
Andy M. Tyrrell, Stephen L. Smith
Heterogeneous distributed and parallel architectures: Hardware, software and design tools. J. Syst. Archit. 46 (8) (2000)
Richard Canham, Stephen L. Smith, Andrew M. Tyrrell
Recognition and Grading of Severely Distorted Geometric Shapes from within a Complex Figure. Pattern Anal. Appl. 3 (4) (2000)
Richard Canham, Stephen L. Smith, Andrew M. Tyrrell
Automated Scoring of a Neuropsychological Test: The Rey Osterrieth Complex Figure. EUROMICRO (2000)
M. Das, David M. Howard, Stephen L. Smith
Motion Curves in Music: The Statistical Analysis of Midi Data. EUROMICRO (1999)
Gordon Hollingworth, Stephen L. Smith, Andrew M. Tyrrell
Design of highly parallel edge detection nodes using evolutionary techniques. PDP (1999)
Stephen L. Smith, Darren L. Hiller
Image analysis of neuropsychological test responses. Medical Imaging: Image Processing (1996)
Richard Canham, Stephen L. Smith, Andrew M. Tyrrell
Parallel Approaches to the Segmentation of Free-Hand Drawings. EUROMICRO (1996)