Andreas Artemiou
Andreas Artemiou
Lecturer of Statistics, School of Mathematics, Cardiff University
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TitleCited byYear
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
Principal support vector machines for linear and nonlinear sufficient dimension reduction
B Li, A Artemiou, L Li
The Annals of Statistics 39 (6), 3182-3210, 2011
On principal components and regression: a statistical explanation of a natural phenomenon
A Artemiou, B Li
Statistica Sinica, 1557-1565, 2009
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
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
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
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
A Cost Based Reweighted Scheme of Principal Support Vector Machine
A Artemiou, M Shu
Topics in Nonparametric Statistics, 1-12, 2014
Hypothesis testing in frailty models for arbitrarily censored and truncated data
A Artemiou
Communications in Dependability and Quality Management 10 (1), 110-121, 2007
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
Topics on supervised and unsupervised dimension reduction
AA Artemiou
Sufficient dimension reduction via principal L support vector machine
A Artemiou, Y Dong
Electronic Journal of Statistics 10 (1), 783-805, 2016
Using sliced inverse mean difference for sufficient dimension reduction
A Artemiou, L Tian
Statistics & Probability Letters 106, 184-190, 2015
A probabilistic explanation of a natural phenomenon
AA Artemiou
Determining patient outcomes from patient letters: A comparison of text analysis approaches
J Morgan, P Harper, V Knight, A Artemiou, A Carney, A Nelson
Journal of the Operational Research Society, 1-15, 2019
Comparing the utility of different classification schemes for emotive language analysis
L Williams, M Arribas-Ayllon, A Artemiou, I Spasić
Journal of Classification, 1-30, 2019
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
On dual model-free variable selection with two groups of variables
A Alothman, Y Dong, A Artemiou
Journal of Multivariate Analysis 167, 366-377, 2018
On principal components regression with Hilbertian predictors
B Jones, A Artemiou
Annals of the Institute of Statistical Mathematics, 1-18, 2018
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Articles 1–20