Objects
Stranieri, Andrew, Yatsko, Andrew, Golden, Isaac, Mammadov, Musa, Bagirov, Adil. ; 2013. Capped K-NN Editing in definition lacking environments.
Dzalilov, Zari, Zhang, J, Bagirov, Adil, Mammadov, Musa. ; 2010. Application of optimisation-based data mining techniques to tobacco control dataset.
Bagirov, Adil, Soukhoroukova, Nadejda. Canberra, Australian Capital Territory :; 2001. Nonsmooth optimisation approach to data classification.
Mala-Jetmarova, Helena, Bagirov, Adil, Barton, Andrew. Tsinhua University Press; 2013. Pumping costs and water quality in the battlefield of optimal operation of water distribution networks.
Mohebi, Ehsan, Bagirov, Adil. ; 2013. A new modification of Kohonen neural network for VQ and clustering problems.
Ghosh, Moumita, Ugon, Julien, Ghosh, Ranadhir, Bagirov, Adil. Ballarat, Victoria : University of Ballarat; 2004. Solving Euclidian travelling salesman problem using discrete-gradient based clustering and kohonen neural network.
Bagirov, Adil, Ganjehlou, Asef Nazari, Tor, Hakan, Ugon, Julien. ; 2010. A generalized subgradient method with piecewise linear subproblem.
Bagirov, Adil. Yokohama Publishers; 2010. Alexander Rubinov - An outstanding scholar.
Bagirov, Adil, Mardaneh, Karim. Hobart, Tasmania : Australian Computer Society; 2006. Modified global k-means algorithm for clustering in gene expression data sets.
Bagirov, Adil, Ugon, Julien, Webb, Dean. Vilnius, Lithuania : Vilnius Gediminas Technical University Publishing House; 2009. A new modified global k-means algorithm for clustering large data sets.
Dzalilov, Zari, Bagirov, Adil, Mammadov, Musa. IARA; 2012. Application of optimisation-based data mining techniques to medical data sets: A comparative analysis.
Mohebi, Ehsan, Bagirov, Adil. Springer New York LLC; 2016. Constrained self organizing maps for data clusters visualization.
Ghosh, Ranadhir, Yearwood, John, Ghosh, Moumita, Bagirov, Adil. Innsbruck, Austria : ACTA Press; 2005. Fusion strategies for neural learning algorithms using evolutionary and discrete gradient approaches.
Dzalilov, Zari, Bagirov, Adil. ; 2010. Cluster analysis of a tobacco control data set.
Jia, Long, Ouveysi, Iradj, Rubinov, Alex, Bagirov, Adil. Melbourne : 2003 ATNAC Organistion Committee; 2003. Optimization based clustering algorithms in multicast group hierarchies.
Bagirov, Adil, Rubinov, Alex, Yearwood, John. ; 2001. Using global optimization to improve classification for medical diagnosis and prognosis.
Ghosh, Ranadhir, Ghosh, Moumita, Yearwood, John, Bagirov, Adil. Beijing, China :; 2005. Comparative analysis of genetic algorithm vs. evolutionary algorithm for hybrid models with discrete gradient method for artificial neural network.
Yearwood, John, Bagirov, Adil, Seifollahi, Sattar. Ballarat, VIC Australian Computer Society, Inc.; 2011. A novel hybrid neural learning algorithm using simulated annealing and quasisecant method.
Ghosh, Ranadhir, Yearwood, John, Ghosh, Ranadhir, Bagirov, Adil. Yokahama, Japan : Tokyo Institute of Technology; 2004. A hybrid neural learning algorithm combining evolutionary algorithm with discrete gradient method.
Ghosh, Ranadhir, Yearwood, John, Ghosh, Moumita, Bagirov, Adil. ; 2005. Hybridization of neural learning algorithms using evolutionary and discrete gradient approaches.
Alyguliev, R. M., Bagirov, Adil. ; 2005. Global optimization in the summarization of text documents.
Bagirov, Adil, Yatsko, Andrew, Stranieri, Andrew. ; 2011. Feature selection using misclassification counts.
Mala-Jetmarova, Helena, Barton, Andrew, Bagirov, Adil, McRae-Williams, Pamela, Caris, Rob, Jackson, Peter. ; 2010. Adaption to water shortage through the implementation of a unique pipeline system in Victoria, Australia.
Alguliyev, Rasim, Aliguliyev, Ramiz, Bagirov, Adil, Karimov, Rafael. Institute of Electrical and Electronics Engineers Inc.; 2017. Batch clustering algorithm for big data sets.
Beliakov, Gleb, Tobon, Monsalve, Bagirov, Adil. Melbourne : Springer; 2003. Parallelization of the discrete gradient method of non-smooth optimization and its applications.
Bagirov, Adil, Taheri, Sona. Springer Berlin Heidelberg; 2017. DC programming algorithm for clusterwise linear L1 regression.
Bagirov, Adil, Yearwood, John, Ghosh, Ranadhir. Gold Coast, Queensland : Australian National University; 2004. Optimization of feed forward MLPs using the discrete gradient method.
Ghosh, Ranadhir, Ghosh, Moumita, Yearwood, John, Bagirov, Adil. ; 2005. Comparative analysis of genetic algorithm, simulated annealing and cutting angle method for artificial neural networks.
Bagirov, Adil, Ugon, Julien, Barton, Andrew, Briggs, Steven. Darwin, Northern Territory : Engineers Australia; 2008. Optimisation of operations of a water distribution system for reduced power usage.
Bagirov, Adil, Rubinov, Alex. Perth : Curtin University of Technology; 2003. Penalty functions with a small penalty parameter : Numerical experiments.
Mala-Jetmarova, Helena, Bagirov, Adil, Barton, Andrew. International Conference on Hydroinfromatics; 2012. Framework for multi-objective optimisation of the operation of water distribution networks including water quality.
Tor, Ali, Karasozen, Bulent, Bagirov, Adil. ; 2010. Truncated codifferential method for linearly constrained nonsmooth optimization.
Gaudioso, Manlio, Giallombardo, Giovanni, Miglionico, Giovanna, Bagirov, Adil. Springer New York LLC; 2018. Minimizing nonsmooth DC functions via successive DC piecewise-affine approximations.
Mason, T. L., Emelle, C., Van Berkel, J., Bagirov, Adil, Kampas, F., Pinter, J. D.. ; 2007. Integrated production system optimization using global optimization techniques.
Bagirov, Adil, Mason, T. L., Ghosh, Moumita. Azerbaijan Azerbaycan Dovlet Iqtisad Universiteti; 2006. Application of derivative free methods for production optimization.
Bagirov, Adil. Doctor of Philosophy; 2001. The cutting angle method and its applications.
Bagirov, Adil, Karmitsa, Napsu, Makela, Marko. Springer; 2014. Introduction to Nonsmooth Optimization : Theory, practice and software.
Rubinov, Alex, Yang, Xiao, Bagirov, Adil. Taylor & Francis Ltd.; 2002. Penalty functions with a small penalty parameter.
Bagirov, Adil. Elsevier; 2008. Modified global k-means algorithm for minimum sum-of-squares clustering problems.
Bagirov, Adil, Yearwood, John. Elsevier; 2006. A new nonsmooth optimization algorithm for minimum sum-of-squares clustering problems.
Bagirov, Adil. Taylor & Francis; 2005. Max-min separability.
Bagirov, Adil, Karasozen, Bulent, Sezer, Monsalve. Springer; 2008. Discrete gradient method : Derivative-free method for nonsmooth optimization.
Bagirov, Adil, Rubinov, Alex, Yearwood, John. Netherlands Kluwer (Springer); 2002. A global optimization approach to classification.
Bagirov, Adil, Rubinov, Alex. ; 2001. Global optimization of marginal functions with applications to economic equilibrium.
Bagirov, Adil. ; 2002. A method for minimization of quasidifferentiable functions.
Rubinov, Alex, Yang, Xiao, Bagirov, Adil, Gasimov, Rafail. St Petersberg Russia Plenum Publishing Corporation (Springer); 2003. Lagrange-type functions in constrained optimization.
Churilov, Leonid, Bagirov, Adil, Schwartz, Daniel, Smith, Kate, Dally, Michael. M.E. Sharpe; 2005. Data mining with combined use of optimization techniques and self-organizing maps for improving risk grouping rules : Application to prostate cancer patients.
Bagirov, Adil. New York USA Kluwer (Springer); 2003. Continuous subdifferential approximations and their applications.
Joki, Kaisa, Bagirov, Adil, Karmitsa, Napsu, Makela, Marko. Springer; 2017. A proximal bundle method for nonsmooth DC optimization utilizing nonconvex cutting planes.
Taheri, Sona, Mammadov, Musa, Bagirov, Adil. Ballarat, VIC Australian Computer Society, Inc.; 2010. Improving Naive Bayes classifier using conditional probabilities.
Bagirov, Adil, Ugon, Julien, Webb, Dean. Fast modified global k-means algorithm for incremental cluster construction. 2011.
Yearwood, John, Bagirov, Adil, Kelarev, Andrei. Optimization methods and the k-committees algorithm for clustering of sequence data. 2009.
Bagirov, Adil, Ugon, Julien, Webb, Dean. Vilnius, Lithuania : Vilnius Gediminas Technical University Publishing House; 2009. An incremental approach for the construction of a piecewise linear classifier.
Mala-Jetmarova, Helena, Barton, Andrew, Bagirov, Adil. IWA Publishing; 2015. Sensitivity of algorithm parameters and objective function scaling in multi-objective optimisation of water distribution systems.
Karmitsa, Napsu, Bagirov, Adil, Taheri, Sona. Elsevier Ltd; 2018. Clustering in large data sets with the limited memory bundle method.
Bagirov, Adil, Clausen, Conny, Kohler, Michael. IEEE; 2009. Estimation of a regression function by maxima of minima of linear functions.
Bagirov, Adil, Mahmood, Arshad. Springer Netherlands; 2018. A comparative assessment of models to predict monthly rainfall in Australia.
Ugon, Julien, Bagirov, Adil. ; 2005. Supervised data classification via max-min separability.
Joki, Kaisa, Bagirov, Adil, Karmitsa, Napsu, Makela, Marko, Taheri, Sona. Society for Industrial and Applied Mathematics Publications; 2018. Double bundle method for finding clarke stationary points in nonsmooth dc programming.
Bagirov, Adil, Ugon, Julien. Taylor and Francis Ltd.; 2018. Nonsmooth DC programming approach to clusterwise linear regression : Optimality conditions and algorithms.
Mala-Jetmarova, Helena, Barton, Andrew, Bagirov, Adil. Elsevier; 2014. Optimal operation of a multi-quality water distribution system with changing turbidity and salinity levels in source reservoirs.
Bagirov, Adil, Ahmed, S. T., Barton, Andrew, Mala-Jetmarova, Helena, Al Nuaimat, Alia, Sultanova, Nargiz. Adelaide Engineers Australia; 2012. Comparison of metaheuristic algorithms for pump operation optimization.
Barton, Andrew, Mala-Jetmarova, Helena, Nuamat, Alia Mari Al, Bagirov, Adil, Sultanova, Nargiz, Ahmed, Shams Tabrez. Engineers Australia; 2012. Minimization of pumping costs in water distribution systems using explicit and implicit pump scheduling.
Bagirov, Adil, Barton, Andrew, Mala-Jetmarova, Helena, Al Nuaimat, Alia, Ahmed, S. T., Sultanova, Nargiz, Yearwood, John. A novel approach to optimal pump scheduling in water distribution systems. 2012.
Bagirov, Adil, Mohebi, Ehsan. Blackwell Publishing Inc.; 2016. An algorithm for clustering using L1-norm based on hyperbolic smoothing technique.
Seifollahi, Sattar, Bagirov, Adil, Layton, Robert, Gondal, Iqbal. Springer New York LLC; 2017. Optimization based clustering algorithms for authorship analysis of phishing emails.
Bagirov, Adil. Springer US; 2009. Derivative-free methods for non-smooth optimization.
Bagirov, Adil. Springer US; 2009. Nonsmooth optimization approach to clustering.
Bagirov, Adil, Beliakov, Gleb. Springer US; 2009. Global optimization : Cutting angle method.
Bagirov, Adil. Springer US; 2009. Continuous approximations to subdifferentials.
Bagirov, Adil, Mohebi, Ehsan. Springer International Publishing; 2015. Nonsmooth optimization based algorithms in cluster analysis.
Demyanov, Vladimir, Bagirov, Adil, Rubinov, Alex. ; 2002. A method of truncated codifferential with application to some problems of cluster analysis.
Bagirov, Adil, Rubinov, Alex, Sukhorukova, Nadezda, Yearwood, John. London UK Blackwell Publishing; 2003. An algorithm for clustering based on non-smooth optimization techniques.
Bagirov, Adil, Sultanova, Nargiz, Al Nuaimat, Alia, Taheri, Sona. Springer New York LLC; 2018. Solving minimax problems : Local smoothing versus global smoothing.
Ghosh, Ranadhir, Yearwood, John, Ghosh, Moumita, Bagirov, Adil. World Scientific Publishing Company; 2006. A hybrid neural learning algorithm using evolutionary learning and derivative free local search method.
Bagirov, Adil, Rubinov, Alex, Zhang, Jiapu. Springer; 2005. Local optimization method with global multidimensional search.
Churilov, Leonid, Bagirov, Adil, Schwartz, Daniel, Smith, Kate, Dally, Michael. Big Island, Hawaii : IEEE; 2004. Improving risk grouping rules for prostate cancer patients with optimization.
Bagirov, Adil, Churilov, Leonid. Melbourne : Springer; 2003. An optimization-based approach to patient grouping for acute healthcare in Australia.
Abbas, Hussein, Bagirov, Adil, Zhang, Jiapu. Canberra : IEEE; 2003. The discrete gradient evolutionary strategy method for global optimization.
Bagirov, Adil, Rubinov, Alex, Zhang, Jiapu. A multidimensional descent method for global optimization. 2009.
Bagirov, Adil, Beliakov, Gleb. Special issue of Optimization, dedicated to the development of the ideas of the late Prof. A. Rubinov. 2009.
Karmitsa, Napsu, Bagirov, Adil, Makela, Marko. Comparing different nonsmooth minimization methods and software. 2012.
Bagirov, Adil, Ugon, Julien, Webb, Dean, Karasozen, Bulent. Classification through incremental max-min separability. 2011.
Ghosh, Ranadhir, Ghosh, Moumita, Yearwood, John, Bagirov, Adil. Leipzig, Germany : Springer; 2005. Determining regularization parameters for derivative free neural learning.
Bagirov, Adil, Lai, Daniel, Palaniswami, M.. Melbourne, Victoria : IEEE; 2007. A nonsmooth optimization approach to sensor network localization.
Bagirov, Adil, Rubinov, Alex, Yearwood, John, Stranieri, Andrew. Maui, Hawaii, USA : IEEE; 2001. A global optimisation approach to classification in medical diagnosis and prognosis.
Karmitsa, Napsu, Bagirov, Adil. Limited memory discrete gradient bundle method for nonsmooth derivative-free optimization. 2012.
Bagirov, Adil, Ganjehlou, Asef Nazari. Taylor & Francis; 2010. A quasisecant method for minimizing nonsmooth functions.
Bagirov, Adil, Ugon, Julien. Springer; 2011. Codifferential method for minimizing nonsmooth DC functions.
Mohebi, Ehsan, Bagirov, Adil. Elsevier Ltd; 2014. A convolutional recursive modified Self Organizing Map for handwritten digits recognition.
Bagirov, Adil, Miettinen, Kaisa, Weber, Gerhard-Wilhelm. Kluwer Academic Publishers; 2014. Preface of the special issue OR: Connecting sciences supported by global optimization related to the 25th European conference on operational research (EURO XXV 2012).
Bagirov, Adil, Ugon, Julien, Webb, Dean, Ozturk, Gurkan, Kasimbeyli, Refail. ; 2011. A novel piecewise linear classifier based on polyhedral conic and max-min separabilities.
Bagirov, Adil, Ugon, Julien. Taylor and Francis Ltd.; 2018. Nonsmooth DC programming approach to clusterwise linear regression : Optimality conditions and algorithms.
Bagirov, Adil, Ugon, Julien, Webb, Dean. An efficient algorithm for the incremental construction of a piecewise linear classifier. 2011.
Ordin, Burak, Bagirov, Adil. Kluwer Academic Publishers; 2015. A heuristic algorithm for solving the minimum sum-of-squares clustering problems.
Bagirov, Adil, Ozturk, Gurkan, Kasimbeyli, Refail. Taylor and Francis Ltd.; 2019. A sharp augmented Lagrangian-based method in constrained non-convex optimization.
Makela, Marko, Karmitsa, Napsu, Bagirov, Adil. Springer; 2013. Subgradient and bundle methods for nonsmooth optimization.
Bagirov, Adil. Springer Verlag; 2009. Comments on : Optimization and data mining in medicine.
Bagirov, Adil, Kasimbeyli, Refail, Ozturk, Gurkan, Ugon, Julien. Springer New York; 2014. Piecewise linear classifiers based on nonsmooth optimization approaches.
Mohebi, Ehsan, Bagirov, Adil. Springer; 2014. CR-Modified SOM to the problem of handwritten digits recognition.