Adil M. Bagirov

	2011
26		Adil M. Bagirov, Julien Ugon, Dean Webb: An efficient algorithm for the incremental construction of a piecewise linear classifier. Inf. Syst. 36(4): 782-790 (2011)
25		Adil M. Bagirov, Julien Ugon: Codifferential method for minimizing nonsmooth DC functions. J. Global Optimization 50(1): 3-22 (2011)
24		Adil M. Bagirov, Julien Ugon, Dean Webb, B. Karasözen: Classification through incremental max-min separability. Pattern Anal. Appl. 14(2): 165-174 (2011)
23		Adil M. Bagirov, Julien Ugon, Dean Webb: Fast modified global k-means algorithm for incremental cluster construction. Pattern Recognition 44(4): 866-876 (2011)
	2010
22		Adil M. Bagirov, Conny Clausen, Michael Kohler: An L2-boosting algorithm for estimation of a regression function. IEEE Transactions on Information Theory 56(3): 1417-1429 (2010)
21		Adil M. Bagirov, Asef Nazari Ganjehlou: A quasisecant method for minimizing nonsmooth functions. Optimization Methods and Software 25(1): 3-18 (2010)
	2009
20		Adil M. Bagirov, Gleb Beliakov: Global Optimization: Cutting Angle Method. Encyclopedia of Optimization 2009: 1304-1311
19		Adil M. Bagirov: Nonsmooth Optimization Approach to Clustering. Encyclopedia of Optimization 2009: 2664-2671
18		Adil M. Bagirov: Continuous Approximations to Subdifferentials. Encyclopedia of Optimization 2009: 475-482
17		Adil M. Bagirov: Derivative-Free Methods for Non-smooth Optimization. Encyclopedia of Optimization 2009: 648-655
16		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
15		Adil M. Bagirov: Modified global k. Pattern Recognition 41(10): 3192-3199 (2008)
	2007
14		Sol Hart, John Yearwood, Adil M. Bagirov: Visual Tools for Analysing Evolution, Emergence, and Error in Data Streams. ACIS-ICIS 2007: 987-992
	2006
13		Ranadhir Ghosh, Moumita Ghosh, Adil M. Bagirov: Derivative Free Stochastic Discrete Gradient Method with Adaptive Mutation. Industrial Conference on Data Mining 2006: 264-278
12		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)
11		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
10		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
9		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
8		Ranadhir Ghosh, Moumita Ghosh, John Yearwood, Adil M. Bagirov: Determining Regularization Parameters for Derivative Free Neural Learning. MLDM 2005: 71-79
7		Leonid Churilov, Adil M. Bagirov, Daniel Schwartz, Kate A. Smith, Michael Dally: Data Mining with Combined Use of Optimization Techniques and Self-Organizing Maps for Improving Risk Grouping Rules: Application to Prostate Cancer Patients. J. of Management Information Systems 21(4): 85-100 (2005)
	2004
6		Leonid Churilov, Adil M. Bagirov, Daniel Schwartz, Kate A. Smith, Michael Dally: Improving Risk Grouping Rules for Prostate Cancer Patients with Optimization. HICSS 2004
	2003
5		Hussein A. Abbass, Adil M. Bagirov, J. Zhang: The discrete gradient evolutionary strategy method for global optimization. IEEE Congress on Evolutionary Computation (1) 2003: 435-442
4		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		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		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	Hussein A. Abbass	[5]
2	Gleb Beliakov	[3] [20]
3	Leonid Churilov	[4] [6] [7]
4	Conny Clausen	[16] [22]
5	Michael Dally	[6] [7]
6	Brent Ferguson	[2]
7	Asef Nazari Ganjehlou	[21]
8	Moumita Ghosh	[8] [9] [10] [11] [13]
9	Ranadhir Ghosh	[8] [9] [10] [11] [13]
10	Sol Hart	[14]
11	Sasha Ivkovic	[2]
12	B. Karasözen	[24]
13	Michael Kohler	[16] [22]
14	Alex Rubinov	[1]
15	G. Saunders	[2]
16	Daniel Schwartz	[6] [7]
17	Kate Smith-Miles (Kate Amanda Smith-Miles, Kate A. Smith)	[6] [7]
18	Andrew Stranieri	[1]
19	J. E. Monsalve Tobon	[3]
20	Julien Ugon	[23] [24] [25] [26]
21	Dean Webb	[23] [24] [26]
22	John Yearwood	[1] [2] [8] [9] [10] [11] [12] [14]
23	J. Zhang	[5]

Colors in the list of coauthors

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