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)

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)

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)

Estimating statistics from multi-state models using simulation with multistateutils. - Stuart E. Lacy (J. Open Source Softw., 2018)