|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, ...
|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, ...
|What is the impact of errors on LCS data information content?|
S Diez, P Edwards, S Lacy
|Estimating statistics from multi-state models using simulation with multistateutils|
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|
University of York, 2015
|Diagnosing Parkinson’s Disease with Evolutionary Algorithms|
Seventh York Doctoral Symposium on Computer Science & Electronics, 93, 2014