Andreas Artemiou
Andreas Artemiou
Department of Information Technologies, University of Limassol
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Cited by
Cited by
Principal support vector machines for linear and nonlinear sufficient dimension reduction
B Li, A Artemiou, L Li
Direct current insulator‐based dielectrophoretic characterization of erythrocytes: ABO‐Rh human blood typing
SK Srivastava, A Artemiou, AR Minerick
Electrophoresis 32 (18), 2530-2540, 2011
Predictors of attack performance in high-level male volleyball players
D Challoumas, A Artemiou
International journal of sports physiology and performance 13 (9), 1230-1236, 2018
On principal components and regression: a statistical explanation of a natural phenomenon
A Artemiou, B Li
Statistica Sinica, 1557-1565, 2009
Predictive modeling of schizophrenia from genomic data: Comparison of polygenic risk score with kernel support vector machines approach
T Vivian‐Griffiths, E Baker, KM Schmidt, M Bracher‐Smith, J Walters, ...
American Journal of Medical Genetics Part B: Neuropsychiatric Genetics 180 …, 2019
Dominant vs. non-dominant shoulder morphology in volleyball players and associations with shoulder pain and spike speed
D Challoumas, A Artemiou, G Dimitrakakis
Journal of Sports Sciences 35 (1), 65-73, 2017
Sufficient dimension reduction via principal L support vector machine
A Artemiou, Y Dong
Sparse generalised principal component analysis
L Smallman, A Artemiou, J Morgan
Pattern Recognition 83, 443-455, 2018
Penalized principal logistic regression for sparse sufficient dimension reduction
SJ Shin, A Artemiou
Computational statistics & data analysis 111, 48-58, 2017
Predictive power of principal components for single-index model and sufficient dimension reduction
A Artemiou, B Li
Journal of Multivariate Analysis 119, 176-184, 2013
Comparing the utility of different classification schemes for emotive language analysis
L Williams, M Arribas-Ayllon, A Artemiou, I Spasić
Journal of Classification 36, 619-648, 2019
Real-time sufficient dimension reduction through principal least squares support vector machines
A Artemiou, Y Dong, SJ Shin
Pattern Recognition 112, 107768, 2021
A cost based reweighted scheme of principal support vector machine
A Artemiou, M Shu
Topics in Nonparametric Statistics: Proceedings of the First Conference of …, 2014
Simple Poisson PCA: an algorithm for (sparse) feature extraction with simultaneous dimension determination
L Smallman, W Underwood, A Artemiou
Computational Statistics 35 (2), 559-577, 2020
CytoPy: an autonomous cytometry analysis framework
RJ Burton, R Ahmed, SM Cuff, S Baker, A Artemiou, M Eberl
PLOS Computational Biology 17 (6), e1009071, 2021
A study on imbalance support vector machine algorithms for sufficient dimension reduction
L Smallman, A Artemiou
Communications in Statistics-Theory and Methods 46 (6), 2751-2763, 2017
Examining the utility of extended laboratory panel testing in the emergency department for risk stratification of patients with COVID-19: a single-centre retrospective service …
MJ Ponsford, RJ Burton, L Smith, PY Khan, R Andrews, S Cuff, L Tan, ...
Journal of clinical pathology 75 (4), 255-262, 2022
Using sliced inverse mean difference for sufficient dimension reduction
A Artemiou, L Tian
Statistics & Probability Letters 106, 184-190, 2015
Sufficient dimension reduction based on distance‐weighted discrimination
H Randall, A Artemiou, X Qiao
Scandinavian Journal of Statistics 48 (4), 1186-1211, 2021
On principal components regression with hilbertian predictors
B Jones, A Artemiou
Annals of the Institute of Statistical Mathematics 72, 627-644, 2020
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