Objects
Bagirov, Adil, Ugon, Julien. ; 2006. Piecewise partially separable functions and a derivative-free algorithm for large scale nonsmooth optimization.
Bagirov, Adil, Mahmood, Arshad, Barton, Andrew. Elsevier Ltd; 2017. Prediction of monthly rainfall in Victoria, Australia : Clusterwise linear regression approach.
Bagirov, Adil, Rubinov, Alex, Zhang, Jiapu. ; 2005. Local optimization method with global multidimensional search.
Stranieri, Andrew, Yatsko, Andrew, Golden, Isaac, Mammadov, Musa, Bagirov, Adil. ; 2013. Capped K-NN Editing in definition lacking environments.
Abbas, Hussein, Bagirov, Adil, Zhang, Jiapu. Canberra : IEEE; 2003. The discrete gradient evolutionary strategy method for global optimization.
Bagirov, Adil, Jin, L., Karmitsa, Napsu, Al Nuaimat, A., Sultanova, Nargiz. ; 2012. Subgradient Method for Nonconvex Nonsmooth Optimization.
Rubinov, Alex, Yang, Xiao, Bagirov, Adil, Gasimov, Rafail. ; 2003. Lagrange-type functions in constrained optimization.
Dzalilov, Zari, Zhang, J, Bagirov, Adil, Mammadov, Musa. ; 2010. Application of optimisation-based data mining techniques to tobacco control dataset.
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. Springer US; 2009. Nonsmooth optimization approach to clustering.
Bagirov, Adil, Soukhoroukova, Nadejda. Canberra, Australian Capital Territory :; 2001. Nonsmooth optimisation approach to data classification.
Bagirov, Adil, Ferguson, Brent, Ivkovic, Sasha, Saunders, Gary, Yearwood, John. ; 2003. New algorithms for multi-class cancer diagnosis using tumor gene expression signatures.
Ghosh, Ranadhir, Yearwood, John, Ghosh, Moumita, Bagirov, Adil. ; 2006. A hybrid neural learning algorithm using evolutionary learning and derivative free local search method.
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.
Karmitsa, Napsu, Bagirov, Adil, Taheri, Sona. Elsevier B.V.; 2017. New diagonal bundle method for clustering problems in large data sets.
Mohebi, Ehsan, Bagirov, Adil. ; 2013. A new modification of Kohonen neural network for VQ and clustering problems.
Ghosh, Ranadhir, Ghosh, Moumita, Yearwood, John, Bagirov, Adil. Leipzig, Germany : Springer; 2005. Determining regularization parameters for derivative free neural learning.
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.
Bagirov, Adil. ; 2005. Max-min separability.
Karmitsa, Napsu, Bagirov, Adil. ; 2012. Limited memory discrete gradient bundle method for nonsmooth derivative-free optimization.
Mohebi, Ehsan, Bagirov, Adil. Springer New York LLC; 2016. Constrained self organizing maps for data clusters visualization.
Bagirov, Adil. Springer US; 2009. Continuous approximations to subdifferentials.
Bagirov, Adil, Rubinov, Alex, Sukhorukova, Nadezda, Yearwood, John. ; 2003. Unsupervised and supervised data classification via nonsmooth and global optimisation.
Bagirov, Adil, Yearwood, John. ; 2006. A new nonsmooth optimization algorithm for minimum sum-of-squares clustering problems.
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, Beliakov, Gleb. ; 2009. Special issue of Optimization, dedicated to the development of the ideas of the late Prof. A. Rubinov.
Bagirov, Adil, Rubinov, Alex, Yearwood, John. ; 2001. Using global optimization to improve classification for medical diagnosis and prognosis.
Bagirov, Adil, Ugon, Julien, Mirzayeva, Hijran. ; 2013. Nonsmooth nonconvex optimization approach to clusterwise linear regression problems.
Bagirov, Adil, Ugon, Julien, Mirzayeva, Hijran. Springer Verlag; 2014. An algorithm for clusterwise linear regression based on smoothing techniques.
Bagirov, Adil, Rubinov, Alex. ; 2001. Global optimization of marginal functions with applications to economic equilibrium.
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.
Bagirov, Adil. ; 2002. A method for minimization of quasidifferentiable functions.
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.
Rubinov, Alex, Yang, Xiao, Bagirov, Adil. ; 2002. Penalty functions with a small penalty parameter.
Jelinek, Herbert, Yatsko, Andrew, Stranieri, Andrew, Venkatraman, Sitalakshmi, Bagirov, Adil. Sciedu Press; 2015. Diagnostic with incomplete nominal/discrete data.
Bagirov, Adil, Rubinov, Alex. ; 2003. Cutting angle method and a local search.
Bagirov, Adil, Clausen, Conny, Kohler, Michael. IEEE; 2010. An L-2-Boosting Algorithm for Estimation of a Regression Function.
Makela, Marko, Karmitsa, Napsu, Bagirov, Adil. Springer; 2013. Subgradient and bundle methods for nonsmooth optimization.
Bagirov, Adil, Ugon, Julien, Webb, Dean, Ozturk, Gurkan, Kasimbeyli, Refail. ; 2011. A novel piecewise linear classifier based on polyhedral conic and max-min separabilities.
Alyguliev, R. M., Bagirov, Adil. ; 2005. Global optimization in the summarization of text documents.
Ghosh, Ranadhir, Ghosh, Moumita, Bagirov, Adil. ; 2006. Derivative free stochastic discrete gradient method with adaptive mutation.
Mohebi, Ehsan, Bagirov, Adil. Taylor and Francis Ltd.; 2015. Modified self-organising maps with a new topology and initialisation algorithm.
Bagirov, Adil, Ugon, Julien. ; 2005. An algorithm for minimizing clustering functions.
Bagirov, Adil, Rubinov, Alex, Yearwood, John, Stranieri, Andrew. Maui, Hawaii, USA : IEEE; 2001. A global optimisation approach to classification in medical diagnosis and prognosis.
Churilov, Leonid, Bagirov, Adil, Schwartz, Daniel, Smith, Kate, Dally, Michael. ; 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, Yatsko, Andrew, Stranieri, Andrew. ; 2011. Feature selection using misclassification counts.
Bagirov, Adil, Mohebi, Ehsan. Springer International Publishing; 2015. Nonsmooth optimization based algorithms in cluster analysis.
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.
Demyanov, Vladimir, Bagirov, Adil, Rubinov, Alex. ; 2002. A method of truncated codifferential with application to some problems of cluster analysis.
Bagirov, Adil, Al Nuaimat, Alia, Sultanova, Nargiz. ; 2013. Hyperbolic smoothing function method for minimax problems.
Bagirov, Adil, Rubinov, Alex, Sukhorukova, Nadezda, Yearwood, John. ; 2003. An algorithm for clustering based on non-smooth optimization techniques.
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.
Beliakov, Gleb, Bagirov, Adil. ; 2006. Non-smooth optimization methods for computation of the conditional value-at-risk and portfolio optimization.
Bagirov, Adil, Zhang, Jiapu. ; 2003. Comparative analysis of the cutting angle and simulated annealing methods in global optimization.
Bagirov, Adil, Beliakov, Gleb. Springer US; 2009. Global optimization : Cutting angle method.
Bagirov, Adil. ; 2009. Comments on : Optimization and data mining in medicine.
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, 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).
Hart, Sol, Yearwood, John, Bagirov, Adil. Melbourne, Victoria : IEEE; 2007. Visual tools for analysing evolution, emergence, and error in data streams.
Bagirov, Adil, Churilov, Leonid. Melbourne : Springer; 2003. An optimization-based approach to patient grouping for acute healthcare in Australia.
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.
Mohebi, Ehsan, Bagirov, Adil. Springer; 2014. CR-Modified SOM to the problem of handwritten digits recognition.
Bagirov, Adil, Rubinov, Alex, Yearwood, John. ; 2002. A global optimization approach to classification.
Bagirov, Adil. Springer US; 2009. Derivative-free methods for non-smooth optimization.
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.
Bagirov, Adil, Rubinov, Alex, Zhang, Jiapu. ; 2009. A multidimensional descent method for global optimization.
Tor, Ali, Karasozen, Bulent, Bagirov, Adil. ; 2010. Truncated codifferential method for linearly constrained nonsmooth optimization.
Bagirov, Adil. ; 2003. Continuous subdifferential approximations and their applications.
Bagirov, Adil, Kasimbeyli, Refail, Ozturk, Gurkan, Ugon, Julien. Springer New York; 2014. Piecewise linear classifiers based on nonsmooth optimization approaches.
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.
Tor, Ali, Bagirov, Adil, Karasozen, Bulent. ; 2014. Aggregate codifferential method for nonsmooth DC optimization.
Bagirov, Adil, Karmitsa, Napsu, Makela, Marko. Springer; 2014. Introduction to Nonsmooth Optimization : Theory, practice and software.
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. Springer; 2017. A proximal bundle method for nonsmooth DC optimization utilizing nonconvex cutting planes.
Mohebi, Ehsan, Bagirov, Adil. Elsevier Ltd; 2014. A convolutional recursive modified Self Organizing Map for handwritten digits recognition.
Bagirov, Adil, Taheri, Sona, Ugon, Julien. Elsevier Ltd; 2016. Nonsmooth DC programming approach to the minimum sum-of-squares clustering problems.
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, Karasozen, Bulent. Classification through incremental max-min separability. 2011.
Bagirov, Adil, Ugon, Julien. Springer; 2011. Codifferential method for minimizing nonsmooth DC functions.
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. An efficient algorithm for the incremental construction of a piecewise linear classifier. 2011.