Stephen L. Smith

According to our database, Stephen L. Smith authored at least 70 papers between 1996 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Deep Learning-Based Fall Detection Using WiFi Channel State Information.

Yi Chu, Kanapathippillai Cumanan, Sathish K. SankarPandi, Stephen L. Smith, Octavia A. Dobre

IEEE Access, 2023

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, Marta Vallejo

Neural Comput. Appl., 2022

Towards Automated Monitoring of Parkinson's Disease Following Drug Treatment.

Amir Dehsarvi, Jennifer Kay South Palomares, Stephen Leslie Smith

Proceedings of the Pattern Recognition and Artificial Intelligence, 2022

Evolutionary Design of Reduced Precision Levodopa-Induced Dyskinesia Classifiers.

Martin Hurta, Michaela Drahosova, Lukás Sekanina, Stephen L. Smith, Jane E. Alty

Proceedings of the Genetic Programming - 25th European Conference, 2022

2021

Evaluation of Recurrent Neural Network Models for Parkinson's Disease Classification Using Drawing Data.

Arjun Shenoy A. V, Michael A. Lones, Stephen L. Smith, Marta Vallejo

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

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

Classification of Resting-State fMRI using Evolutionary Algorithms: Towards a Brain Imaging Biomarker for Parkinson's Disease.

Amir Dehsarvi, Stephen L. Smith

CoRR, 2019

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

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

2018

Using echo state networks for classification: A case study in Parkinson's disease diagnosis.

Stuart E. Lacy, Stephen L. Smith, Michael A. Lones

Artif. Intell. Medicine, 2018

Medical applications of evolutionary computation.

Stephen L. Smith

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Classification of resting-state fMRI for olfactory dysfunction in parkinson's disease using evolutionary algorithms.

Amir Dehsarvi, Stephen L. Smith

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Objective Evaluation of Bradykinesia in Parkinson's Disease using Evolutionary Algorithms.

Siti Anizah Muhamed, Rachel Newby, Stephen L. Smith, Jane E. Alty, Stuart Jamieson, Peter Kempster

Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018), 2018

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

J. Medical Syst., 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

Comput. Law Secur. Rev., 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

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Objective Assessment of Cognitive Impairment in Parkinson's Disease Using Evolutionary Algorithm.

Chiara Picardi, Jeremy Cosgrove, Stephen L. Smith, Stuart Jamieson, Jane E. Alty

Proceedings of the Applications of Evolutionary Computation - 20th European Conference, 2017

2016

Characterization and classification of adherent cells in monolayer culture using automated tracking and evolutionary algorithms.

Zhen Zhang, Matthew Bedder, Stephen L. Smith, Dawn C. Walker, Saqib Shabir, Jennifer Southgate

Biosyst., 2016

2015 Information Processing in Cells and Tissues (IPCAT 2015).

Andy M. Tyrrell, Michael A. Lones, Stephen L. Smith, Gary B. Fogel

Biosyst., 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, Stuart Jamieson, Jane E. Alty, Jeremy Cosgrove, Andy M. Tyrrell

Biosyst., 2016

Exploring diagnostic models of Parkinson's disease with multi-objective regression.

Marta Vallejo, Stuart Jamieson, Jeremy Cosgrove, Stephen L. Smith, Michael A. Lones, Jane E. Alty, David W. Corne

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Using Multiobjective Evolutionary Algorithms to Understand Parkinson's Disease.

Marta Vallejo, Jeremy Cosgrove, Jane E. Alty, Stephen L. Smith, David W. Corne, Michael A. Lones

Proceedings of the Genetic and Evolutionary Computation Conference, 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, David W. Corne, Michael A. Lones

Proceedings of the Genetic and Evolutionary Computation Conference, 2016

MedGEC'16 Chairs' Welcome.

Stephen L. Smith, Stefano Cagnoni, Robert M. Patton

Proceedings of the Genetic and Evolutionary Computation Conference, 2016

2015

Medical Applications of Evolvable Hardware.

Michael A. Lones, Stephen L. Smith

Proceedings of the Evolvable Hardware - From Practice to Application, 2015

Automated Motion Analysis of Adherent Cells in Monolayer Culture.

Zhen Zhang, Matthew Bedder, Stephen L. Smith, Dawn C. Walker, Saqib Shabir, Jennifer Southgate

Proceedings of the Information Processing in Cells and Tissues, 2015

Evolving Ensembles: What Can We Learn from Biological Mutualisms?

Michael A. Lones, Stuart E. Lacy, Stephen L. Smith

Proceedings of the Information Processing in Cells and Tissues, 2015

Forming classifier ensembles with multimodal Evolutionary Algorithms.

Stuart E. Lacy, Michael A. Lones, Stephen L. Smith

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

A comparison of evolved linear and non-linear ensemble vote aggregators.

Stuart E. Lacy, Michael A. Lones, Stephen L. Smith

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014

Evolving Classifiers to Recognize the Movement Characteristics of Parkinson's Disease Patients.

Michael A. Lones, Stephen L. Smith, Jane E. Alty, Stuart E. Lacy, Katherine L. Possin, D. R. Stuart Jamieson, Andy M. Tyrrell

IEEE Trans. Evol. Comput., 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, Andy M. Tyrrell

IEEE Trans. Evol. Comput., 2014

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

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

2013

Editorial.

Stephen L. Smith

Biosyst., 2013

Characterising neurological time series data using biologically motivated networks of coupled discrete maps.

Michael A. Lones, Stephen L. Smith, Andy M. Tyrrell, Jane E. Alty, D. R. Stuart Jamieson

Biosyst., 2013

Characterisation of movement disorder in parkinson's disease using evolutionary algorithms.

Stuart E. Lacy, Michael A. Lones, Stephen L. Smith, Jane E. Alty, D. R. Stuart Jamieson, Katherine L. Possin, Norbert Schuff

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

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

Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Healthcare and e-health, 2013

2012

Evolving Computational Dynamical Systems to Recognise Abnormal Human Motor Function.

Michael A. Lones, Stephen L. Smith, Andy M. Tyrrell, Jane E. Alty, D. R. Stuart Jamieson

Proceedings of the Information Processign in Cells and Tissues, 2012

2011

Medical Applications of Cartesian Genetic Programming.

Stephen L. Smith, James Alfred Walker, Julian F. Miller

Proceedings of the Cartesian Genetic Programming, 2011

Cartesian Genetic Programming and its Application to Medical Diagnosis.

Stephen L. Smith

IEEE Comput. Intell. Mag., 2011

Objective Assessment of Visuo-spatial Ability using Implicit Context Representation Cartesian Genetic Programming.

Michael A. Lones, Stephen L. Smith

Proceedings of the Genetic and Evolutionary Computation: Medical Applications, 2011

2010

Detection of microcalcifications in mammograms using multi-chromosome Cartesian genetic programming.

Julian F. Miller, Stephen L. Smith, Yuan Zhang

Proceedings of the Genetic and Evolutionary Computation Conference, 2010

The Yorkshire Enterprise Fellowship: A framework for successful commercialization of computational intelligence research.

Stephen L. Smith

Proceedings of the FUZZ-IEEE 2010, 2010

Discriminating normal and cancerous thyroid cell lines using implicit context representation Cartesian genetic programming.

Michael A. Lones, Stephen L. Smith, Andrew T. Harris, Alec S. High, Sheila E. Fisher, D. Alastair Smith, Jennifer Kirkham

Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009

Parallel evolution using multi-chromosome cartesian genetic programming.

James Alfred Walker, Katharina Völk, Stephen L. Smith, Julian Francis Miller

Genet. Program. Evolvable Mach., 2009

Multiple Network CGP for the Classification of Mammograms.

Katharina Völk, Julian F. Miller, Stephen L. Smith

Proceedings of the Applications of Evolutionary Computing, 2009

Implicit Context Representation Cartesian Genetic Programming for the assessment of visuo-spatial ability.

Stephen L. Smith, Michael A. Lones

Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008

An immune network inspired evolutionary algorithm for the diagnosis of Parkinson's disease.

Stephen L. Smith, Jon Timmis

Biosyst., 2008

Hardware Acceleration of an Immune Network Inspired Evolutionary Algorithm for Medical Diagnosis.

Stephen L. Smith, Andrew J. Greensted, Jon Timmis

Proceedings of the Evolvable Systems: From Biology to Hardware, 2008

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

Proceedings of the Genetic and Evolutionary Computation Conference, 2008

2007

Diagnosis of Parkinson's disease using evolutionary algorithms.

Stephen L. Smith, Patrick Gaughan, David M. Halliday, Quan Ju, Nabil M. Aly, Jeremy R. Playfer

Genet. Program. Evolvable Mach., 2007

Introduction to the special issue on medical applications of Genetic and Evolutionary Computation.

Stephen L. Smith, Stefano Cagnoni

Genet. Program. Evolvable Mach., 2007

2006

Redundancy and Computational Efficiency in Cartesian Genetic Programming.

Julian F. Miller, Stephen L. Smith

IEEE Trans. Evol. Comput., 2006

Variable length genetic algorithms with multiple chromosomes on a variant of the Onemax problem.

Rachel Cavill, Stephen L. Smith, Andy M. Tyrrell

Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Positional Independence and Recombination in Cartesian Genetic Programming.

Xinye Cai, Stephen L. Smith, Andy M. Tyrrell

Proceedings of the Genetic Programming, 9th European Conference, 2006

2005

Benefits of Employing an Implicit Context Representation on Hardware Geometry of CGP.

Xinye Cai, Stephen L. Smith, Andrew M. Tyrrell

Proceedings of the Evolvable Systems: From Biology to Hardware, 2005

Multi-chromosomal genetic programming.

Rachel Cavill, Stephen L. Smith, Andrew M. Tyrrell

Proceedings of the Genetic and Evolutionary Computation Conference, 2005

An Implicit Context Representation for Evolving Image Processing Filters.

Stephen L. Smith, Stefan Leggett, Andrew M. Tyrrell

Proceedings of the Applications of Evolutionary Computing, 2005

A self-adaptive mate selection model for genetic programming.

Rodney Fry, Stephen L. Smith, Andy M. Tyrrell

Proceedings of the IEEE Congress on Evolutionary Computation, 2005

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, Andy Terrell

Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004

Intrinsic Evolvable Hardware in Digital Filter Design.

Yang Zhang, Stephen L. Smith, Andrew M. Tyrrell

Proceedings of the Applications of Evolutionary Computing, 2004

Digital Circuit Design using Intrinsic Evolvable Hardware.

Yang Zhang, Stephen L. Smith, Andy M. Tyrrell

Proceedings of the 6th NASA / DoD Workshop on Evolvable Hardware (EH 2004), 2004

2003

Evolving Image Processing Operations for an Evolvable Hardware Environment.

Stephen L. Smith, David P. Crouch, Andrew M. Tyrrell

Proceedings of the Evolvable Systems: From Biology to Hardware, 2003

2001

Evolutionary Strategies And Intrinsic Fault Tolerance.

Andrew M. Tyrrell, Gordon Hollingworth, Stephen L. Smith

Proceedings of the 3rd NASA / DoD Workshop on Evolvable Hardware (EH 2001), 2001

2000

Recognition and Grading of Severely Distorted Geometric Shapes from within a Complex Figure.

Richard Canham, Stephen L. Smith, Andrew M. Tyrrell

Pattern Anal. Appl., 2000

Heterogeneous distributed and parallel architectures: Hardware, software and design tools.

Andy M. Tyrrell, Stephen L. Smith

J. Syst. Archit., 2000

Quantative 3D Modelling of the Left Ventrical from Ultrasound Images.

B. C. Scowen, Stephen L. Smith, M. A. Vannan

Proceedings of the 26th EUROMICRO 2000 Conference, 2000

Automated Scoring of a Neuropsychological Test: The Rey Osterrieth Complex Figure.

Richard Canham, Stephen L. Smith, Andrew M. Tyrrell

Proceedings of the 26th EUROMICRO 2000 Conference, 2000

1999

Design of highly parallel edge detection nodes using evolutionary techniques.

Gordon Hollingworth, Stephen L. Smith, Andrew M. Tyrrell

Proceedings of the Seventh Euromicro Workshop on Parallel and Distributed Processing. PDP'99, 1999

Motion Curves in Music: The Statistical Analysis of Midi Data.

M. Das, David M. Howard, Stephen L. Smith

Proceedings of the 25th EUROMICRO '99 Conference, 1999

1996

Image analysis of neuropsychological test responses.

Stephen L. Smith, Darren L. Hiller

Proceedings of the Medical Imaging 1996: Image Processing, 1996

Parallel Approaches to the Segmentation of Free-Hand Drawings.

Richard Canham, Stephen L. Smith, Andrew M. Tyrrell

Proceedings of the 22rd EUROMICRO Conference '96, 1996