Stuart E. Lacy

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

Norbert Schuff, Stephen L. Smith, Michael A. Lones, 2013, GECCO.

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

Stephen L. Smith, Michael A. Lones, Stuart E. Lacy, 2018, Artif. Intell. Medicine.

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

Andrew M. Tyrrell, Stephen L. Smith, Michael A. Lones, 2014, IEEE Transactions on Evolutionary Computation.

Evolving Ensembles: What Can We Learn from Biological Mutualisms?

Stephen L. Smith, Michael A. Lones, Stuart E. Lacy, 2015, IPCAT.

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

Stephen L. Smith, Michael A. Lones, Stuart E. Lacy, 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).

Evolving classifiers to inform clinical assessment of Parkinson's disease

Norbert Schuff, Stephen L. Smith, Michael A. Lones, 2013, 2013 IEEE Symposium on Computational Intelligence in Healthcare and e-health (CICARE).

Forming classifier ensembles with multimodal evolutionary algorithms

Stephen L. Smith, Michael A. Lones, Stuart E. Lacy, 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).

Estimating statistics from multi-state models using simulation with multistateutils

Stuart E. Lacy, 2018, J. Open Source Softw..

Modeling Movement Disorders in Parkinson's Disease using Computational Intelligence

Stuart E. Lacy, S. Lacy, 2015 .