• Ben Jones and Andreas Artemiou (accepted December 2020) “Revisiting the predictive power of kernel principal components”, Statistics and Probability Letters.
  • Andreas Artemiou, Yuexiao Dong and Seung-Jun Shin (accepted November 2020). “Real-time sufficient dimension reduction through principal least squares support vector machines”, Pattern Recognition. (
  • Andreas Artemiou (accepted September 2020) Using mutual information to measure the predictive potential of principal components”, Dennis Cook Festschrift (edited by Efstathia Bura and Bing Li).
  • Hayley Randall, Andreas Artemiou and Xingye Qiao (accepted July 2020) “Sufficient Dimension Reduction based on Distance-Weighted Discrimination”, Scandinavian Journal of Statistics (10.1111/sjos.12484)
  • Babos, S. and Artemiou, A. (accepted January 2020) “Sliced Inverse Median Difference Regression”, Statistical Methods and Applications.
  • Luke Smallman, William Underwood and Andreas Artemiou (2020) “Simple Poisson PCA: An algorithm for (sparse) feature extraction with simultaneous dimension determination”, Computational Statistics, 35, 559-577 (10.1007/s00180-019-00903-0)
  • Ben Jones and Andreas Artemiou (2020) “On principal component regression with hilbertian predictors”, Annals of the Institute of Statistical Mathematics, 72, 627-644 (10.1007/s10463-018-0702-9)
  • Ben Jones, Andreas Artemiou and Bing Li (2020) On the predictive potential of kernel principal components”, Electronic Journal of Statistics, 14, 1-23. (
  • Andreas Artemiou (2019) “Cost-based reweighting for Principal LqSVM for sufficient dimension reduction”, Journal of Mathematics and Statistics – Science Publications (Special Edition on Statistical Modelling with applications), 15, 218-224 .
  • Irena Spasic, David Owen, Dawn Knight and Andreas Artemiou (2019) “Unsupervised multi–word term recognition in Welsh”  In proceedings of the  “Celtic Language Technology Workshop” CLTW2019, Dublin, Ireland, pages 1-6
  • Lowri Williams, Michael Arribas-Ayllon, Andreas Artemiou and Irena Spasic (2019). “Comparing the utility of different classification schemes for emotive language analysis”, Journal of Classification, 36, 619-648 . (10.1007/s00357-019-9307-0)
  • Andreas Artemiou (2019). “Using adaptively weighted large margin classifiers for robust sufficient dimension reduction”, Statistics, 53, 1037-1051. (10.1080/02331888.2019.1636050)
  • Jennifer Morgan, Paul Harper, Vince Knight, Andreas Artemiou, Alex Carney and Andrew Nelson (2019) “Determining patient outcomes from patient letters: A comparison of text analysis approaches”, Journal of the OR Society, 70, 1425-1439. (10.1080/01605682.2018.1506559)
  • Timothy Vivian-Griffiths, Emily Baker, Karl M Schmidt, Matthew Bracher-Smith, James Walters, Andreas Artemiou, Peter Holmans, Michael C. O’Donovan, Michael J. Owen, Andrew Pocklington, Valentina Escott-Price (2019) “Predictive modelling of Schizophrenia from genomic data: comparison of Polygenic Risk Score with Kernel Support Vector Machines approach”, American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, 180B, 80-85. (10.1002/ajmg.b.32705)
  • Luke Smallman, Andreas Artemiou and Jennifer Morgan (2018) “Sparse Generalised Principal Component Analysis”, Pattern Recognition, 83, 443-455. (10.1016/j.patcog.2018.06.014)
  • Ahmad Alothman, Yuexiao Dong and Andreas Artemiou (2018) “On dual model-free variable selection with two groups of variables”, Journal of Multivariate Analysis, 167, 366-377. (10.1016/j.jmva.2018.06.003)
  • Dimitris Challoumas and Andreas Artemiou (2018) “Predictors of attack performance in high-level male volleyball players”, International Journal of Sports Physiology and Performance, 13, 1230-1236. (10.1123/ijspp.2018-0125)
  • Seung-Jun Shin and Andreas Artemiou (2017)Penalized Principal Logistic Regression for Sparse Sufficient Dimension Reduction”, Computational Statistics and Data Analysis,111, 48-58.
  • Dimitris Challoumas, Andreas Artemiou and Georgios Dimitrakakis (2017). “Dominant vs non-dominant shoulder morphology in volleyball players and associations in pathology and spike speed”,Journal of Sports Sciences, 35, 65-73. (10.1080/02640414.2016.1155730)
  • Luke Smallman and Andreas Artemiou (2017) “A Study on Imbalance Support Vector Machine Algorithms for Sufficient Dimension Reduction”, Communications in Statistics, Theory and Methods, 46, 2751-2763. (10.1080/03610926.2015.1048889)
  • Andreas Artemiou and Yuexiao Dong (2016) “Sufficient dimension reduction via principal Lq support vector machine”, Electronic Journal of Statistics, 10, 783-805. (10.1214/154957804100000000)
  • Andreas Artemiou and Lipu Tian (2015) “Using Sliced Inverse Mean Difference for Sufficient Dimension Reduction”, Statistics and Probability Letters, 106, 184-190.  (10.1016/j.spl.2015.07.025)
  • Krystalleni Drosou, Andreas Artemiou and Christos Koukouvinos (2015) “A comparative study of the use of large margin classifiers on seismic data”, Journal of Applied Statistics, 42, 180-201.
  • Andreas Artemiou and Min Shu (2014) “A Cost Based Reweighted scheme of Principal Support Vector Machine”, Topics in Nonparametric Statistics, Springer Proceedings in Mathematics and Statistics, 74, 1-22.
  • Andreas Artemiou (2014) “Applications of Sufficient Dimension Reduction on non-elliptical data”, Journal of the Indian Society of Agricultural Statistics, 68, 273-283 (Special issue on Statistical and Computational Methodologies on Massive Datasets)
  • Andreas Artemiou “Regression Analysis” Contributed Essay to Encyclopedia on Social Network Analysis and Mining, Editors: Reda Alhajj, Jon Rokne, Springer (2014 – reprinted 2016).
  • Andreas Artemiou and Bing Li (2013), “Predictive power of principal components for single-index model and sufficient dimension reduction”, Journal of Multivariate Analysis, 119, 176-184.
  • Bing Li, Andreas Artemiou and Lexin Li(2011),Principal support vector machine for linear and nonlinear sufficient dimension reduction”, Annals of Statistics, 39, 3182-3210 (10.1214/11-AOS932)
  • Soumya K. Shrivastava, Andreas Artemiou and Adrienne R. Minerick (2011) “DC insulator-based dielectrophoretic characterization of erythrocytes: ABO-Rh human blood typing”, Electrophoresis, 32, 2530-2540 (10.1002/elps.201100089)
  • Andreas Artemiou and Bing Li (2009), “On principal components and regression: A statistical explanation of a natural phenomenon”, Statistica Sinica, 19, 1557-1565.
  • Filia Vonta  and  Andreas Artemiou (2007), “Hypothesis testing in frailty models for arbitrary censored and truncated data”, CDQM, 10(1): 110-121