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Adil M. Bagirov Vis

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*2009
18EEAdil M. Bagirov, Gleb Beliakov: Global Optimization: Cutting Angle Method. Encyclopedia of Optimization 2009: 1304-1311
17EEAdil M. Bagirov: Nonsmooth Optimization Approach to Clustering. Encyclopedia of Optimization 2009: 2664-2671
16EEAdil M. Bagirov: Continuous Approximations to Subdifferentials. Encyclopedia of Optimization 2009: 475-482
15EEAdil M. Bagirov: Derivative-Free Methods for Non-smooth Optimization. Encyclopedia of Optimization 2009: 648-655
14EEAdil M. Bagirov, Conny Clausen, Michael Kohler: Estimation of a Regression Function by Maxima of Minima of Linear Functions. IEEE Transactions on Information Theory 55(2): 833-845 (2009)
2008
13EEAdil M. Bagirov: Modified global k. Pattern Recognition 41(10): 3192-3199 (2008)
2007
12EESol Hart, John Yearwood, Adil M. Bagirov: Visual Tools for Analysing Evolution, Emergence, and Error in Data Streams. ACIS-ICIS 2007: 987-992
2006
11EERanadhir Ghosh, Moumita Ghosh, Adil M. Bagirov: Derivative Free Stochastic Discrete Gradient Method with Adaptive Mutation. Industrial Conference on Data Mining 2006: 264-278
10EEAdil M. Bagirov, John Yearwood: A new nonsmooth optimization algorithm for minimum sum-of-squares clustering problems. European Journal of Operational Research 170(2): 578-596 (2006)
9EERanadhir Ghosh, John Yearwood, Moumita Ghosh, Adil M. Bagirov: A Hybrid Neural Learning Algorithm Using Evolutionary Learning and Derivative Free Local Search Method. Int. J. Neural Syst. 16(3): 201-214 (2006)
2005
8 Ranadhir Ghosh, John Yearwood, Moumita Ghosh, Adil M. Bagirov: Fusion Strategies for Neural Learning Algorithms using Evolutionary and Discrete Gradient Approaches. Artificial Intelligence and Applications 2005: 761-766
7EERanadhir Ghosh, Moumita Ghosh, John Yearwood, Adil M. Bagirov: Comparative Analysis of Genetic Algorithm, Simulated Annealing and Cutting Angle Method for Artificial Neural Networks. MLDM 2005: 62-70
6EERanadhir Ghosh, Moumita Ghosh, John Yearwood, Adil M. Bagirov: Determining Regularization Parameters for Derivative Free Neural Learning. MLDM 2005: 71-79
2004
5EELeonid Churilov, Adil M. Bagirov, D. Schwartz, Kate A. Smith, M. Dally: Improving Risk Grouping Rules for Prostate Cancer Patients with Optimization. HICSS 2004
2003
4EEAdil M. Bagirov, Leonid Churilov: An Optimization-Based Approach to Patient Grouping for Acute Healthcare in Australia. International Conference on Computational Science 2003: 20-29
3EEGleb Beliakov, J. E. Monsalve Tobon, Adil M. Bagirov: Parallelization of the Discrete Gradient Method of Non-smooth Optimization and Its Applications. International Conference on Computational Science 2003: 592-601
2 Adil M. Bagirov, Brent Ferguson, Sasha Ivkovic, G. Saunders, John Yearwood: New algorithms for multi-class cancer diagnosis using tumor gene expression signatures. Bioinformatics 19(14): 1800-1807 (2003)
2001
1EEAdil M. Bagirov, Alex Rubinov, John Yearwood, Andrew Stranieri: A Global Optimization Approach to Classification in Medical Diagnosis and Prognosis. HICSS 2001

Coauthor Index

1Gleb Beliakov [3] [18]
2Leonid Churilov [4] [5]
3Conny Clausen [14]
4M. Dally [5]
5Brent Ferguson [2]
6Moumita Ghosh [6] [7] [8] [9] [11]
7Ranadhir Ghosh [6] [7] [8] [9] [11]
8Sol Hart [12]
9Sasha Ivkovic [2]
10Michael Kohler [14]
11Alex Rubinov [1]
12G. Saunders [2]
13D. Schwartz [5]
14Kate Smith-Miles (Kate Amanda Smith-Miles, Kate A. Smith) [5]
15Andrew Stranieri [1]
16J. E. Monsalve Tobon [3]
17John Yearwood [1] [2] [6] [7] [8] [9] [10] [12]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)