Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Browse by Current Cardiff authors

Up a level
Export as [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Number of items: 32.

Artemiou, Andreas, Dong, Yuexiao and Shin, Seung Jun 2021. Real-time sufficient dimension reduction through principal least squares support vector machines. Pattern Recognition 112 , 107768. 10.1016/j.patcog.2020.107768
Item availability restricted.
file

Artemiou, Andreas 2021. Using mutual information to measure the predictive power of principal components. In: Li, Bing and Bura, Efstathia eds. Festschrift to Dennis Cook, Springer,

Ponsford, Mark J., Burton, Ross J., Smith, Leitchan, Khan, Palwasha, Andrews, Robert, Cuff, Simone, Tan, Laura, Eberl, Matthias, Humphreys, Ian R., Babolhavaeji, Farbod, Artemiou, Andreas, Pandey, Manish, Jolles, Stephen and Underwood, Jonathan 2020. Extended laboratory panel testing in the emergency department for risk-stratification of patients with COVID-19: a single centre retrospective service evaluation. medXriv 10.1101/2020.10.06.20205369
file

Randall, Hayley, Artemiou, Andreas and Qiao, Xingye 2020. Sufficient dimension reduction based on distance-weighted discrimination. Scandinavian Journal of Statistics 10.1111/sjos.12484
file

Smallman, Luke, Underwood, Will and Artemiou, Andreas 2020. Simple Poisson PCA: An algorithm for (sparse) feature extraction with simultaneous dimension determination. Computational Statistics 35 , pp. 559-577. 10.1007/s00180-019-00903-0
file

Jones, Benjamin and Artemiou, Andreas 2020. On principal components regression with hilbertian predictors. Annals of the Institute of Statistical Mathematics 72 , pp. 627-644. 10.1007/s10463-018-0702-9
file

Burton, Ross J., Ahmed, Raya, Cuff, Simone, Artemiou, Andreas and Eberl, Matthias 2020. CytoPy: an autonomous cytometry analysis framework. bioRxiv 10.1101/2020.04.08.031898v1

Babos, Stephen and Artemiou, Andreas 2020. Sliced inverse median difference regression. Statistical Methods and Applications 29 , pp. 937-954. 10.1007/s10260-020-00509-7
file

Jones, Benjamin, Artemiou, Andreas and Li, Bing 2020. On the predictive potential of kernel principal components. Electronic Journal of Statistics 14 (1) , pp. 1-23. 10.1214/19-EJS1655
file

Jones, Benjamin and Artemiou, Andreas 2020. Revisiting the predictive potential of Kernel principal components. Statistics and Probability Letters
Item availability restricted.
file

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
file

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
file

Artemiou, Andreas 2019. Cost-based reweighting for Principal Lq SVM for sufficient dimension reduction. Journal of Mathematics and Statistics 15 (1) , pp. 218-224. 10.3844/jmssp.2019.218.224
file

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,
file

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
file

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
file

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
file

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
file

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
file

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
file

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
file

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
file

Artemiou, Andreas and Dong, Yuexiao 2016. Sufficient dimension reduction via principal Lq support vector machine. Electronic Journal of Statistics 10 (1) , pp. 783-805. 10.1214/16-ejs1122
file

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
filefile

Drosou, Krystallenia, 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
file

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 Tue Jan 26 04:01:01 2021 GMT.


Maintained by Cardiff University Information Services