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.
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.
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.
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.
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.
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.
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.
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, Rubinov, Alex, Yearwood, John, Stranieri, Andrew. Maui, Hawaii, USA : IEEE; 2001. A global optimisation approach to classification in medical diagnosis and prognosis.
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.
Bagirov, Adil, Al Nuaimat, Alia, Sultanova, Nargiz. ; 2013. Hyperbolic smoothing function method for minimax problems.
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.
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. 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, 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.
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.
Bagirov, Adil, Ganjehlou, Asef Nazari. Taylor & Francis; 2010. A quasisecant method for minimizing nonsmooth functions.
Bagirov, Adil, Lai, Daniel, Palaniswami, M.. Melbourne, Victoria : IEEE; 2007. A nonsmooth optimization approach to sensor network localization.
Bagirov, Adil, Ordin, Burak, Ozturk, Gurkan, Xavier, Adilson. Springer; 2015. An incremental clustering algorithm based on hyperbolic smoothing.
Bagirov, Adil, Ugon, Julien, Mirzayeva, Hijran. Springer; 2015. Nonsmooth optimization algorithm for solving clusterwise linear regression problems.
Ozturk, Gurkan, Bagirov, Adil, Kasimbeyli, Refail. Kluwer Academic Publishers; 2015. An incremental piecewise linear classifier based on polyhedral conic separation.
Ordin, Burak, Bagirov, Adil. Kluwer Academic Publishers; 2015. A heuristic algorithm for solving the minimum sum-of-squares clustering problems.
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.
Mala-Jetmarova, Helena, Barton, Andrew, Bagirov, Adil. American Society of Civil Engineers; 2015. Impact of water-quality conditions in source reservoirs on the optimal operation of a regional multiquality water-distribution system.
Karmitsa, Napsu, Bagirov, Adil, Taheri, Sona. Elsevier Ltd; 2018. Clustering in large data sets with the limited memory bundle method.
Bagirov, Adil, Sultanova, Nargiz, Al Nuaimat, Alia, Taheri, Sona. Springer New York LLC; 2018. Solving minimax problems : Local smoothing versus global smoothing.
Ferrer, Albert, Bagirov, Adil, Beliakov, Gleb. Springer; 2015. Solving DC programs using the cutting angle method.
Bagirov, Adil, Ugon, Julien. Taylor and Francis Ltd.; 2018. Nonsmooth DC programming approach to clusterwise linear regression : Optimality conditions and algorithms.
Yearwood, John, Bagirov, Adil, Kelarev, Andrei. Hershey IGI Global; 2012. Machine learning algorithms for analysis of DNA data sets.
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.
Mala-Jetmarova, Helena, Barton, Andrew, Bagirov, Adil. ASCE - American Society of Civil Engineers; 2015. Exploration of the trade-offs between water quality and pumping costs in optimal operation of regional multiquality water distribution systems.
Bagirov, Adil, Barton, Andrew, Mala-Jetmarova, Helena, Al Nuaimat, Alia, Ahmed, S. T., Sultanova, Nargiz, Yearwood, John. An algorithm for minimization of pumping costs in water distribution systems using a novel approach to pump scheduling. 2013.