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Number of items: 25.

Jones, Benjamin, Artemiou, Andreas and Li, Bing 2020. On the predictive potential of kernel principal components. Electronic Journal of Statistics
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Williams, Lowri, Arribas-Ayllon, Michael, Artemiou, Andreas and Spasic, Irena 2019. Comparing the utility of different classification schemes for emotive language analysis. Journal of Classification 36 (3) , pp. 619-648. 10.1007/s00357-019-9307-0
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Spasic, Irena, Owen, David, Knight, Dawn and Artemiou, Andreas 2019. Unsupervised multi-word term recognition in Welsh. Presented at: Celtic Language Technology Workshop 2019, Dublin, Ireland, 19 August 2019. Published in: Lynn, Teresa, Prys, Delyth, Batchelor, Colin and Tyers, Francis eds. Proceedings of the Celtic Language Technology Workshop. European Association for Machine Translation,
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Artemiou, Andreas 2019. Using adaptively weighted large margin classifiers for robust sufficient dimension reduction. Statistics 53 (5) , pp. 1037-1051. 10.1080/02331888.2019.1636050
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Smallman, Luke, Underwood, Will and Artemiou, Andreas 2019. Simple Poisson PCA: An algorithm for (sparse) feature extraction with simultaneous dimension determination. Computational Statistics 10.1007/s00180-019-00903-0
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Vivian-Griffiths, Timothy, Baker, Emily, Schmidt, Karl M., Bracher-Smith, Matthew, Walters, James, Artemiou, Andreas, Holmans, Peter, O'Donovan, Michael C., Owen, Michael J., Pocklington, Andrew and Escott-Price, Valentina 2019. Predictive modeling 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 180 (1) , pp. 80-85. 10.1002/ajmg.b.32705
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Artemiou, Andreas 2019. Cost-based reweighting for Principal Lq SVM for sufficient dimension reduction. Journal of Mathematics and Statistics
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Morgan, Jennifer, Harper, Paul, Knight, Vincent, Artemiou, Andreas, Carney, Alexander and Nelson, Andrew 2019. Determining patient outcomes from patient letters: A comparison of text analysis approaches. Journal of the Operational Research Society 70 (9) , pp. 1425-1439. 10.1080/01605682.2018.1506559
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Jones, Benjamin and Artemiou, Andreas 2018. On principal components regression with hilbertian predictors. Annals of the Institute of Statistical Mathematics 10.1007/s10463-018-0702-9
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Challoumas, Dimitris and Artemiou, Andreas 2018. Predictors of attack performance in high-level male volleyball players. International Journal of Sports Physiology and Performance 13 (9) , pp. 1230-1236. 10.1123/ijspp.2018-0125
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Alothman, Ahmad, Dong, Yuexiao and Artemiou, Andreas 2018. On dual model-free variable selection with two groups of variables. Journal of Multivariate Analysis 167 , pp. 366-377. 10.1016/j.jmva.2018.06.003
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Smallman, Luke, Artemiou, Andreas and Morgan, Jennifer 2018. Sparse generalised principal component analysis. Pattern Recognition 83 , pp. 443-455. 10.1016/j.patcog.2018.06.014
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Shin, Seung Jun and Artemiou, Andreas 2017. Penalized principal logistic regression for sparse sufficient dimension reduction. Computational Statistics & Data Analysis 111 , pp. 48-58. 10.1016/j.csda.2016.12.003
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Challoumas, Dimitris, Artemiou, Andreas and Dimitrakakis, Georgios 2017. Dominant vs non-dominant shoulder morphology in volleyball players and associations with shoulder pain and spike speed. Journal of Sports Sciences 35 (1) , pp. 65-73. 10.1080/02640414.2016.1155730
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Smallman, Luke and Artemiou, Andreas 2017. A study on imbalance support vector machine algorithms for sufficient dimension reduction. Communications in Statistics - Theory and Methods 46 (6) , pp. 2751-2763. 10.1080/03610926.2015.1048889
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Artemiou, Andreas and Dong, Yuexiao 2016. Sufficient dimension reduction via principal Lq support vector machine. Electronic Journal of Statistics 10 (1) , pp. 783-805. 10.1214/154957804100000000
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Artemiou, Andreas and Tian, Lipu 2015. Using sliced inverse mean difference for sufficient dimension reduction. Statistics and Probability Letters 106 , pp. 184-190. 10.1016/j.spl.2015.07.025
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Drosou, Krystalleni, Artemiou, Andreas and Koukouvinos, Christos 2015. A comparative study for the use of large margin classifies on seismic data. Journal of Applied Statistics 42 (1) , pp. 180-201. 10.1080/02664763.2014.938619

Artemiou, Andreas and Shu, Min 2014. A cost based reweighted scheme of Principal Support Vector Machine. In: Akritas, Michael G., Lahiri, S. N. and Politis, Dimitris N. eds. Topics in Nonparametric Statistics, Springer Proceedings in Mathematics & Statistics, Springer, pp. 1-12.

Artemiou, Andreas 2014. Applications of sufficient dimension reduction algorithms on non-elliptical data. Journal of the Indian Society of Agricultural Statistics 68 (2) , pp. 273-283.

Artemiou, Andreas and Li, Bing 2013. Predictive power of principal components for single-index model and sufficient dimension reduction. Journal of Multivariate Analysis 119 , pp. 176-184. 10.1016/j.jmva.2013.04.015

Srivastava, Soumya K., Artemiou, Andreas and Minerick, Adrienne R. 2011. Direct current insulator-based dielectrophoretic characterization of erythrocytes: ABO-Rh human blood typing. Electrophoresis 32 (18) , pp. 2530-2540. 10.1002/elps.201100089

Li, Bing, Artemiou, Andreas and Li, Lexin 2011. Principal support vector machines for linear and nonlinear sufficient dimension reduction. Annals of Statistics 39 (6) , pp. 3182-3210. 10.1214/11-AOS932
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Artemiou, Andreas and Li, Bing 2009. On principal components and regression: a statistical explanation of a natural phenomenon. Statistica Sinica 19 , pp. 1557-1565.

Artemiou, Andreas 2007. Hypothesis testing in frailty models for arbitrarily censored and truncated data. Communications in Dependability and Quality Management 10 (1) , pp. 110-121.

This list was generated on Sun Dec 15 04:46:26 2019 GMT.