Stuart E. Lacy
Stuart E. Lacy
Research Fellow, Epidemiology and Cancer Statistics Group, University of York
Verifisert e-postadresse på york.ac.uk - Startside
Sitert av
Sitert av
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 135 (20), 1759-1771, 2020
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
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
Application of the LymphGen classification tool to 928 clinically and genetically-characterised cases of diffuse large B cell lymphoma (DLBCL).
HFP Runge, S Lacy, S Barrans, PA Beer, D Painter, A Smith, E Roman, ...
Wiley, 2021
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
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
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
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
Molecular subclusters of follicular lymphoma: a report from the UK's Haematological Malignancy Research Network
S Crouch, D Painter, SL Barrans, E Roman, PA Beer, SL Cooke, P Glover, ...
Blood Advances, 2022
Air pollution measurement errors: is your data fit for purpose?
S Diez, SE Lacy, TJ Bannan, M Flynn, T Gardiner, D Harrison, N Marsden, ...
Atmospheric Measurement Techniques 15 (13), 4091-4105, 2022
Local Physical Chemistry Statements for Low cost sensor added value
J Scheffler, M Vieno, M Flynn, S Lacy, S Diez, FD Pope, P Edwards, ...
EGU22, 2022
What is the impact of errors on LCS data information content?
S Diez, P Edwards, S Lacy
EGU22, 2022
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
Unanswered questions in cancer prevalence estimation
SJ Lax, SE Lacy, S Appleton, DE Painter, AG Smith, E Roman, S Crouch
Survival Analysis for Junior Researchers 2017, 2017
Multivariate modelling of survival in a complex haematological malignancy
SJ Lax, SE Lacy, DE Painter, AG Smith, E Roman, R Patmore, S Crouch
Survival analysis for junior researchers 2016, 2016
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
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