Improving Risk Grouping Rules for Prostate Cancer Patients with Optimization (2008)
L. Churilov, A. M. Bagirov, D. Schwartz, K. Smith, M. Dally
Data mining techniques provide a popular and powerful toolset to address both clinical and management issues in the area of health care. This paper describes the study of assigning prostate cancer...
optimization of marginal functions with applications to economic equilibrium
D. C. Anderson, W. Li, D. G. Payan, Davide Anguita, Ro Ridella, ...
for the evaluation of shotgun peptide sequencing in proteomics: support vector machine classification of peptide MS/MS spectra and SEQUEST
Unsupervised and Supervised Data Classification Via Nonsmooth and Global Optimization (2003)
Bagirov, A.M., Rubinov, A.M., Soukhoroukova, N.V., Yearwood, J.
Unsupervised and Supervised Data Classification Via Nonsmooth and Global Optimization (2003)
Bagirov, A.M., Rubinov, A.M., Soukhoroukova, N.V., Yearwood, J.
Beliakov, Gleb, Monsalve Tobon, J.E., Bagirov, A.M.
We investigate parallelization and performance of the discrete gradient method of nonsmooth optimization. This derivative free method is shown to be an effective optimization tool, able to skip many...
Beliakov, Gleb, Monsalve Tobon, J.E., Bagirov, A.M.
We investigate parallelization and performance of the discrete gradient method of nonsmooth optimization. This derivative free method is shown to be an effective optimization tool, able to skip many...
Unsupervised and supervised data classification via nonsmooth and global optimization (2003)
A. M. Bagirov, A. M. Rubinov, N. V. Soukhoroukova, J. Yearwood
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New algorithms for multi-class cancer diagnosis using tumor gene expression signatures (2003)
Bagirov, A. M., Ferguson, B., Ivkovic, S., Saunders, G., Yearwood, J.
Motivation: The increasing use of DNA microarray-based tumor gene expression profiles for cancer diagnosis requires mathematical methods with high accuracy for solving clustering, feature selection...
Beliakov, Gleb, Monsalve Tobon, J.E., Bagirov, A.M.
We investigate parallelization and performance of the discrete gradient method of nonsmooth optimization. This derivative free method is shown to be an effective optimization tool, able to skip many...
Global Minimization of Increasing Positively Homogeneous Functions Over the Unit Simplex (2000)
In this paper we study a method for global optimization of increasing positively homogeneous functions over the unit simplex, which is a version of the cutting angle method. Some properties of the...
Study of single-particle correlations in events with the total disintegration of nuclei (1998)
Abdinov, O B, Anoshin, A I, Bagirov, A M, Bogdanowicz, J, Kuznetsov, A A, Suleimanov, M K
Single - particle correlations in events with the total disintegration of nuclei (1997)
Suleimanov, M. K., Abdinov, O. B., Anoshin, A. I., Bagirov, A. M., Bogdanowicz, J., Kuznetsov, A. A.
New experimental data on the behaviour of the single-particle two-dimensional correlation functions R versus Q (Q is the number of nucleons emitted from nuc- lei) and Ap (Ap is the mass of projectile...