1. Luke Smallman and Andreas Artemiou (accepted December 2021) “A literature review of (sparse) exponential family PCA”, Journal of Statistical Theory and Practice
  2. Eugen Pircalabelu and Andreas Artemiou (accepted July 2021) “Graph informed sliced inverse regression”, Computational Statistics and Data Analysis (10.1016/j.csda.2021.107302)
  3. Eliana Christou, Annabel Settle and Andreas Artemiou (accepted March 2021) “Nonlinear Dimension Reduction for Conditional Quantiles”, Advances in Data Analysis and Classification. (10.1007/s11634-021-00439-6)
  4. Ben Jones and Andreas Artemiou (accepted December 2020) “Revisiting the predictive power of kernel principal components”, Statistics and Probability Letters. (10.1016/j.spl.2020.109019 )
  5. 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. (
  6. Ross Burton, Raya Ahmed, Simone M. Cuff, Sarah Baker, Andreas Artemiou, Matthias Eberl (May 2021) “CytoPy: an autonomous cytometry analysis framework”, PLOS Computational Biology (10.1136/jclinpath-2020-207157)
  7. Kimon Ntotsis, Alex Karagrigoriou and Andreas Artemiou (accepted December 2021) “Interdependency pattern recognition in Econometrics: A penalized regularization antidote”, Econometrics MDPI, 9, 44 (
  8. Andreas Artemiou (2021) Using mutual information to measure the predictive potential of principal components”, Festschrift in Honour of R. Dennis Cook by Springer. Fifty Years of Contribution to Statistical Science (edited by Efstathia Bura and Bing Li), Springer, 1-15 (
  9. Hayley Randall, Andreas Artemiou and Xingye Qiao (2021) “Sufficient Dimension Reduction based on Distance-Weighted Discrimination”, Scandinavian Journal of Statistics, 48, 1186-1211. (10.1111/sjos.12484)
  10. Mark J Ponsford, Ross J Burton,  Leitchan Smith, Palwasha Khan, Robert Andrews, Simone Cuff, Laura Tan, Matthias Eberl, Ian R Humphreys, Farbod Babolhavaeji, Andreas Artemiou, Manish Pandey, Stephen Jolles and Jonathan Underwood (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 evaluation”, Journal of Clinical Pathology (10.1136/jclinpath-2020-207157)
  11. Stephen Babos and Andreas Artemiou (2021). Cumulative Median Estimation for Sufficient Dimension Reduction”, Stats (Special Issue: Robust Statistics in Action), 4, 138-145.
  12. Stephen Babos and Andreas Artemiou (2020) “Sliced Inverse Median Difference Regression”, Statistical Methods and Applications, 29, 937-954 (
  13. 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)
  14. 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)
  15. Ben Jones, Andreas Artemiou and Bing Li (2020) On the predictive potential of kernel principal components”, Electronic Journal of Statistics, 14, 1-23. (
  16. 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 .
  17. 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
  18. 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)
  19. Andreas Artemiou (2019). “Using adaptively weighted large margin classifiers for robust sufficient dimension reduction”, Statistics, 53, 1037-1051. (10.1080/02331888.2019.1636050)
  20. 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)
  21. 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)
  22. 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)
  23. 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)
  24. 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)
  25. Seung-Jun Shin and Andreas Artemiou (2017)Penalized Principal Logistic Regression for Sparse Sufficient Dimension Reduction”, Computational Statistics and Data Analysis,111, 48-58.
  26. 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)
  27. 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)
  28. 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)
  29. 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)
  30. 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.
  31. 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.
  32. 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)
  33. Andreas Artemiou “Regression Analysis” Contributed Essay to Encyclopedia on Social Network Analysis and Mining, Editors: Reda Alhajj, Jon Rokne, Springer (2014 – reprinted 2016).
  34. 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.
  35. 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)
  36. 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)
  37. Andreas Artemiou and Bing Li (2009), “On principal components and regression: A statistical explanation of a natural phenomenon”, Statistica Sinica, 19, 1557-1565.
  38. Filia Vonta  and  Andreas Artemiou (2007), “Hypothesis testing in frailty models for arbitrary censored and truncated data”, CDQM, 10(1): 110-121