Stuart E. Lacy
Stuart E. Lacy
Research Fellow, Epidemiology and Cancer Statistics Group, University of York
Verified email at - Homepage
Cited by
Cited by
Evolving classifiers to recognize the movement characteristics of Parkinson's disease patients
MA Lones, SL Smith, JE Alty, SE Lacy, KL Possin, DRS Jamieson, ...
IEEE Transactions on Evolutionary Computation 18 (4), 559-576, 2013
Using echo state networks for classification: A case study in Parkinson's disease diagnosis
SE Lacy, SL Smith, MA Lones
Artificial intelligence in medicine 86, 53-59, 2018
Evolving classifiers to inform clinical assessment of parkinson's disease
MA Lones, JE Alty, SE Lacy, DRS Jamieson, KL Possin, N Schuff, ...
2013 IEEE Symposium on Computational Intelligence in Healthcare and e-health …, 2013
Forming classifier ensembles with multimodal evolutionary algorithms
SE Lacy, MA Lones, SL Smith
2015 IEEE Congress on Evolutionary Computation (CEC), 723-729, 2015
Characterisation of movement disorder in parkinson's disease using evolutionary algorithms
SE Lacy, MA Lones, SL Smith, JE Alty, DRS Jamieson, KL Possin, ...
Proceedings of the 15th annual conference companion on Genetic and …, 2013
A comparison of evolved linear and non-linear ensemble vote aggregators
SE Lacy, MA Lones, SL Smith
2015 IEEE Congress on Evolutionary Computation (CEC), 758-763, 2015
Cell‐of‐origin in diffuse large B‐cell lymphoma: findings from the UK's population‐based Haematological Malignancy Research Network
D Painter, S Barrans, S Lacy, A Smith, S Crouch, D Westhead, C Sha, ...
British journal of haematology 185 (4), 781-784, 2019
Targeted sequencing in DLBCL, molecular subtypes, and outcomes: a Haematological Malignancy Research Network report
SE Lacy, SL Barrans, PA Beer, D Painter, AG Smith, E Roman, SL Cooke, ...
Blood, The Journal of the American Society of Hematology 135 (20), 1759-1771, 2020
Evolving ensembles: What can we learn from biological mutualisms?
MA Lones, SE Lacy, SL Smith
International Conference on Information Processing in Cells and Tissues, 52-60, 2015
Targeted Sequencing of Diffuse Large B Cell Lymphoma to Determine Molecular Subtype and Clinical Outcome: A Report from the UK's Haematological Malignancy Research Network
SE Lacy, S Barrans, PA Beer, D Painter, A Smith, E Roman, SA Cooke, ...
Estimating statistics from multi-state models using simulation with multistateutils
S Lacy
Journal of Open Source Software 3 (30), 893, 2018
Using multi-state modelling to facilitate informed personalised treatment planning in Follicular Lymphoma
SE Lacy, HI Wang, AG Smith, E Roman, S Crouch
7th Survival Analysis for Junior Researchers conference, 2018
Modeling Movement Disorders in Parkinson's Disease using Computational Intelligence
S Lacy
University of York, 2015
Diagnosing Parkinson’s Disease with Evolutionary Algorithms
S Lacy
Seventh York Doctoral Symposium on Computer Science & Electronics, 93, 2014
Clinically ‘/INS; slight’/INS; bradykinesia is accurately detected using a novel device that requires a one-minute test period
J Alty, M Lones, S Jamieson, K Possin, N Schuff, S Lacy, SL Smith
Journal of the Neurological Sciences 333, e118-e119, 2013
The sequence effect is not a defining characteristic of Parkinson'/INS; s disease
J Alty, S Lacy, S Jamieson, K Possin, N Schuff, M Lones, SL Smith
Journal of the Neurological Sciences 333, e118, 2013
rprev User Guide
SJ Lax, SE Lacy
Writing Gibbs Samplers for clustering binary data using Dirichlet Processes
S Lacy
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