Adil M. Bagirov

2009
18	EE	Adil M. Bagirov, Gleb Beliakov: Global Optimization: Cutting Angle Method. Encyclopedia of Optimization 2009: 1304-1311
17	EE	Adil M. Bagirov: Nonsmooth Optimization Approach to Clustering. Encyclopedia of Optimization 2009: 2664-2671
16	EE	Adil M. Bagirov: Continuous Approximations to Subdifferentials. Encyclopedia of Optimization 2009: 475-482
15	EE	Adil M. Bagirov: Derivative-Free Methods for Non-smooth Optimization. Encyclopedia of Optimization 2009: 648-655
14	EE	Adil 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
13	EE	Adil M. Bagirov: Modified global k. Pattern Recognition 41(10): 3192-3199 (2008)
2007
12	EE	Sol Hart, John Yearwood, Adil M. Bagirov: Visual Tools for Analysing Evolution, Emergence, and Error in Data Streams. ACIS-ICIS 2007: 987-992
2006
11	EE	Ranadhir Ghosh, Moumita Ghosh, Adil M. Bagirov: Derivative Free Stochastic Discrete Gradient Method with Adaptive Mutation. Industrial Conference on Data Mining 2006: 264-278
10	EE	Adil 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)
9	EE	Ranadhir 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
7	EE	Ranadhir 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
6	EE	Ranadhir Ghosh, Moumita Ghosh, John Yearwood, Adil M. Bagirov: Determining Regularization Parameters for Derivative Free Neural Learning. MLDM 2005: 71-79
2004
5	EE	Leonid Churilov, Adil M. Bagirov, D. Schwartz, Kate A. Smith, M. Dally: Improving Risk Grouping Rules for Prostate Cancer Patients with Optimization. HICSS 2004
2003
4	EE	Adil M. Bagirov, Leonid Churilov: An Optimization-Based Approach to Patient Grouping for Acute Healthcare in Australia. International Conference on Computational Science 2003: 20-29
3	EE	Gleb 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
1	EE	Adil M. Bagirov, Alex Rubinov, John Yearwood, Andrew Stranieri: A Global Optimization Approach to Classification in Medical Diagnosis and Prognosis. HICSS 2001

Coauthor Index

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

Colors in the list of coauthors