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Browse by Current Cardiff authors

Number of items: 25.

Jones, Benjamin, Artemiou, Andreas and Li, Bing 2020. On the predictive potential of kernel principal components. Electronic Journal of Statistics

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

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,

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
Item availability restricted.

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

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

Artemiou, Andreas 2019. Cost-based reweighting for Principal Lq SVM for sufficient dimension reduction. Journal of Mathematics and Statistics

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
Item availability restricted.

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

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

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

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

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

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

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

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

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

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

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.

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