| Principal support vector machines for linear and nonlinear sufficient dimension reduction B Li, A Artemiou, L Li | 132 | 2011 |
| 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 | 96 | 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 | 53 | 2018 |
| On principal components and regression: a statistical explanation of a natural phenomenon A Artemiou, B Li Statistica Sinica, 1557-1565, 2009 | 42 | 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 | 39 | 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 | 29 | 2017 |
| Sufficient dimension reduction via principal L support vector machine A Artemiou, Y Dong | 23 | 2016 |
| Sparse generalised principal component analysis L Smallman, A Artemiou, J Morgan Pattern Recognition 83, 443-455, 2018 | 21 | 2018 |
| Penalized principal logistic regression for sparse sufficient dimension reduction SJ Shin, A Artemiou Computational Statistics & Data Analysis 111, 48-58, 2017 | 20 | 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 | 18 | 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 | 17 | 2019 |
| Real-time sufficient dimension reduction through principal least squares support vector machines A Artemiou, Y Dong, SJ Shin Pattern Recognition 112, 107768, 2021 | 16 | 2021 |
| 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 | 12 | 2020 |
| 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 | 12 | 2014 |
| 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 | 10 | 2021 |
| 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 | 8 | 2022 |
| 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 | 8 | 2017 |
| Using sliced inverse mean difference for sufficient dimension reduction A Artemiou, L Tian Statistics & Probability Letters 106, 184-190, 2015 | 8 | 2015 |
| Sufficient dimension reduction based on distance‐weighted discrimination H Randall, A Artemiou, X Qiao Scandinavian Journal of Statistics 48 (4), 1186-1211, 2021 | 7 | 2021 |
| On principal components regression with Hilbertian predictors B Jones, A Artemiou Annals of the Institute of Statistical Mathematics 72, 627-644, 2020 | 6 | 2020 |
Bing LiProfessor of Statistics, Pennsylvania State University在 stat.psu.edu 的电子邮件经过验证
