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Rubinov, Alex, Yang, Xiao, Bagirov, Adil, Gasimov, Rafail. St Petersberg Russia Plenum Publishing Corporation (Springer); 2003. Lagrange-type functions in constrained optimization.
Karmitsa, Napsu, Bagirov, Adil, Taheri, Sona, Joki, Kaisa. Springer Science and Business Media B.V.; 2022. Limited Memory Bundle Method for Clusterwise Linear Regression.
Ghosh, Ranadhir, Ghosh, Moumita, Yearwood, John, Bagirov, Adil. Leipzig, Germany : Springer; 2005. Determining regularization parameters for derivative free neural learning.
Seifollahi, Sattar, Bagirov, Adil, Borzeshi, Ehsan, Piccardi, Massimo. Blackwell Publishing Inc.; 2019. A simulated annealing-based maximum-margin clustering algorithm.
Bagirov, Adil. Yokohama Publishers; 2010. Alexander Rubinov - An outstanding scholar.
Bagirov, Adil, Taheri, Sona, Cimen, Emre. Elsevier B.V.; 2021. Incremental DC optimization algorithm for large-scale clusterwise linear regression.
Bagirov, Adil, Rubinov, Alex, Zhang, Jiapu. Springer; 2005. Local optimization method with global multidimensional search.
Ferrer, Albert, Bagirov, Adil, Beliakov, Gleb. Springer; 2015. Solving DC programs using the cutting angle method.
Bagirov, Adil. Doctor of Philosophy; 2001. The cutting angle method and its applications.
Bagirov, Adil, Ugon, Julien, Mirzayeva, Hijran. Springer; 2015. Nonsmooth optimization algorithm for solving clusterwise linear regression problems.
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.
Demyanov, Vladimir, Bagirov, Adil, Rubinov, Alex. ; 2002. A method of truncated codifferential with application to some problems of cluster analysis.
Bagirov, Adil, Ugon, Julien, Webb, Dean, Karasozen, Bulent. Classification through incremental max-min separability. 2011.
Bagirov, Adil, Ugon, Julien. Taylor & Francis; 2005. An algorithm for minimizing clustering functions.
Joki, Kaisa, Bagirov, Adil, Karmitsa, Napsu, Makela, Marko. Springer; 2017. A proximal bundle method for nonsmooth DC optimization utilizing nonconvex cutting planes.
Bagirov, Adil, Ganjehlou, Asef Nazari. Taylor & Francis; 2010. A quasisecant method for minimizing nonsmooth functions.
Bagirov, Adil, Ugon, Julien, Mirzayeva, Hijran. Nonsmooth nonconvex optimization approach to clusterwise linear regression problems. 2013.
Mohebi, Ehsan, Bagirov, Adil. Taylor and Francis Ltd.; 2015. Modified self-organising maps with a new topology and initialisation algorithm.
Dzalilov, Zari, Zhang, J, Bagirov, Adil, Mammadov, Musa. ; 2010. Application of optimisation-based data mining techniques to tobacco control dataset.
Bagirov, Adil, Ugon, Julien. Springer; 2006. Piecewise partially separable functions and a derivative-free algorithm for large scale nonsmooth optimization.
Bagirov, Adil, Ganjehlou, Asef Nazari. Springer-Verlag; 2008. An approximate subgradient algorithm for unconstrained nonsmooth, nonconvex optimization.
Stranieri, Andrew, Yatsko, Andrew, Golden, Isaac, Mammadov, Musa, Bagirov, Adil. ; 2013. Capped K-NN Editing in definition lacking environments.
Bagirov, Adil, Lai, Daniel, Palaniswami, M.. Melbourne, Victoria : IEEE; 2007. A nonsmooth optimization approach to sensor network localization.
Bagirov, Adil, Ozturk, Gurkan, Kasimbeyli, Refail. Taylor and Francis Ltd.; 2019. A sharp augmented Lagrangian-based method in constrained non-convex optimization.
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, Jin, L., Karmitsa, Napsu, Al Nuaimat, A., Sultanova, Nargiz. Subgradient Method for Nonconvex Nonsmooth Optimization. 2012.
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. Perth : Curtin University of Technology; 2003. Penalty functions with a small penalty parameter : Numerical experiments.
Jelinek, Herbert, Yatsko, Andrew, Stranieri, Andrew, Venkatraman, Sitalakshmi, Bagirov, Adil. Sciedu Press; 2015. Diagnostic with incomplete nominal/discrete data.
Tor, Ali, Bagirov, Adil, Karasozen, Bulent. ; 2014. Aggregate codifferential method for nonsmooth DC optimization.
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.
Bagirov, Adil, Hoseini-Monjezi, Najmeh, Taheri, Sona. Elsevier Ltd; 2023. A novel optimization approach towards improving separability of clusters.
Bagirov, Adil, Gaudioso, Manlio, Karmitsa, Napsu, Mäkelä, Marko, Taheri, Sona. Springer International Publishing; 2020. Final words.
Bagirov, Adil, Churilov, Leonid. Melbourne : Springer; 2003. An optimization-based approach to patient grouping for acute healthcare in Australia.
Bagirov, Adil. Springer US; 2009. Nonsmooth optimization approach to clustering.
Ghosh, Ranadhir, Ghosh, Moumita, Bagirov, Adil. Berlin Springer-Verlag Berlin; 2006. Derivative free stochastic discrete gradient method with adaptive mutation.
Bagirov, Adil, Sultanova, Nargiz, Taheri, Sona, Ozturk, Gurkan. Springer; 2021. Subgradient smoothing method for nonsmooth nonconvex optimization.
Bagirov, Adil, Soukhoroukova, Nadejda. Canberra, Australian Capital Territory :; 2001. Nonsmooth optimisation approach to data classification.
Karmitsa, Napsu, Bagirov, Adil, Taheri, Sona. Elsevier Ltd; 2018. Clustering in large data sets with the limited memory bundle method.
Taheri, Sona, Bagirov, Adil, Gondal, Iqbal, Brown, Simon. Springer; 2020. Cyberattack triage using incremental clustering for intrusion detection systems.
Joki, Kaisa, Bagirov, Adil. Springer International Publishing; 2020. Bundle methods for nonsmooth DC optimization.
Bagirov, Adil, Seifollahi, Sattar, Piccardi, Massimo, Zare Borzeshi, Ehsan, Kruger, Bernie. Springer Science and Business Media Deutschland GmbH; 2023. SMGKM : an efficient incremental algorithm for clustering document collections.
Bagirov, Adil. New York USA Kluwer (Springer); 2003. Continuous subdifferential approximations and their applications.
Yearwood, John, Bagirov, Adil, Kelarev, Andrei. Hershey IGI Global; 2012. Machine learning algorithms for analysis of DNA data sets.
Moniruzzaman, Md, Bagirov, Adil, Gondal, Iqbal. Association for Computing Machinery; 2020. Partial undersampling of imbalanced data for cyber threats detection.
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, Karasozen, Bulent, Sezer, Monsalve. Springer; 2008. Discrete gradient method : Derivative-free method for nonsmooth optimization.
Bagirov, Adil, Aliguliyev, Ramiz, Sultanova, Nargiz. Elsevier Ltd; 2023. Finding compact and well-separated clusters : clustering using silhouette coefficients.
Bagirov, Adil, Taheri, Sona, Karmitsa, Napsu, Sultanova, Nargiz, Asadi, Soodabeh. Taylor and Francis Ltd.; 2022. Robust piecewise linear L 1-regression via nonsmooth DC optimization.
Bagirov, Adil, Rubinov, Alex. ; 2003. Cutting angle method and a local search.
Mala-Jetmarova, Helena, Barton, Andrew, Bagirov, Adil. IWA Publishing; 2015. A history of water distribution systems and their optimisation.
Yearwood, John, Bagirov, Adil, Kelarev, Andrei. Optimization methods and the k-committees algorithm for clustering of sequence data. 2009.
Mohebi, Ehsan, Bagirov, Adil. Elsevier Ltd; 2014. A convolutional recursive modified Self Organizing Map for handwritten digits recognition.
Bagirov, Adil. Springer US; 2009. Continuous approximations to subdifferentials.
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, Clausen, Conny, Kohler, Michael. IEEE; 2010. An L-2-Boosting Algorithm for Estimation of a Regression Function.
Bagirov, Adil, Mahmood, Arshad, Barton, Andrew. Elsevier Ltd; 2017. Prediction of monthly rainfall in Victoria, Australia : Clusterwise linear regression approach.
Mohebi, Ehsan, Bagirov, Adil. ; 2013. A new modification of Kohonen neural network for VQ and clustering problems.
Dzalilov, Zari, Bagirov, Adil, Mammadov, Musa. IARA; 2012. Application of optimisation-based data mining techniques to medical data sets: A comparative analysis.
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, Ugon, Julien, Mirzayeva, Hijran. Springer Verlag; 2014. An algorithm for clusterwise linear regression based on smoothing techniques.
Bagirov, Adil, Beliakov, Gleb. Special issue of Optimization, dedicated to the development of the ideas of the late Prof. A. Rubinov. 2009.
Bagirov, Adil. Taylor & Francis; 2005. Max-min separability.
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, Taheri, Sona, Karmitsa, Napsu. Springer International Publishing; 2020. Discrete gradient methods.
Hart, Sol, Yearwood, John, Bagirov, Adil. Melbourne, Victoria : IEEE; 2007. Visual tools for analysing evolution, emergence, and error in data streams.
Bagirov, Adil, Rubinov, Alex, Sukhorukova, Nadezda, Yearwood, John. London UK Blackwell Publishing; 2003. An algorithm for clustering based on non-smooth optimization techniques.
Zarei, Mahdi, Xie, Dan, Jiang, Fei, Bagirov, Adil, Huang, Bo, Raj, Ashish, Nagarajan, Srikantan, Guo, Su. BioMed Central Ltd.; 2022. High activity and high functional connectivity are mutually exclusive in resting state zebrafish and human brains.
Bagirov, Adil, Taheri, Sona, Bai, Fusheng, Wu, Zhiyou. Springer; 2019. An approximate ADMM for solving linearly constrained nonsmooth optimization problems with two blocks of variables.
Bagirov, Adil, Yatsko, Andrew, Stranieri, Andrew. ; 2011. Feature selection using misclassification counts.
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.
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, Mardaneh, Karim. Inderscience Publishers; 2020. New gene selection algorithm using hypeboxes to improve performance of classifiers.
Bagirov, Adil, Taheri, Sona. Springer Berlin Heidelberg; 2017. DC programming algorithm for clusterwise linear L1 regression.
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, 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, 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.
Bagirov, Adil, Ferguson, Brent, Ivkovic, Sasha, Saunders, Gary, Yearwood, John. ; 2003. New algorithms for multi-class cancer diagnosis using tumor gene expression signatures.
Alyguliev, R. M., Bagirov, Adil. ; 2005. Global optimization in the summarization of text documents.
Quddus, Syed, Bagirov, Adil. Association for Computing Machinery; 2019. A comparative study of unsupervised classification algorithms in multi-sized data sets.
Bagirov, Adil. Springer Verlag; 2009. Comments on : Optimization and data mining in medicine.
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.
Bagirov, Adil, Taheri, Sona, Ugon, Julien. Elsevier Ltd; 2016. Nonsmooth DC programming approach to the minimum sum-of-squares clustering problems.
Bagirov, Adil, Mason, T. L., Ghosh, Moumita. Azerbaijan Azerbaycan Dovlet Iqtisad Universiteti; 2006. Application of derivative free methods for production optimization.
Bagirov, Adil, Mohebi, Ehsan. Blackwell Publishing Inc.; 2016. An algorithm for clustering using L1-norm based on hyperbolic smoothing technique.
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.
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.
Joki, Kaisa, Bagirov, Adil, Karmitsa, Napsu, Mäkelä, Marko, Taheri, Sona. Elsevier B.V.; 2020. Clusterwise support vector linear regression.
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.
Bagirov, Adil. Springer US; 2009. Derivative-free methods for non-smooth optimization.
Abbas, Hussein, Bagirov, Adil, Zhang, Jiapu. Canberra : IEEE; 2003. The discrete gradient evolutionary strategy method for global optimization.
Bagirov, Adil, Karmitsa, Napsu, Makela, Marko. Springer; 2014. Introduction to Nonsmooth Optimization : Theory, practice and software.
Bagirov, Adil. ; 2002. A method for minimization of quasidifferentiable functions.
Bagirov, Adil, Rubinov, Alex, Yearwood, John. ; 2001. Using global optimization to improve classification for medical diagnosis and prognosis.
Bagirov, Adil, Al Nuaimat, Alia, Sultanova, Nargiz. Hyperbolic smoothing function method for minimax problems. 2013.
Bagirov, Adil, Mardaneh, Karim. Hobart, Tasmania : Australian Computer Society; 2006. Modified global k-means algorithm for clustering in gene expression data sets.
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, Zhang, Jiapu. Taylor & Francis; 2003. Comparative analysis of the cutting angle and simulated annealing methods in global optimization.
Bagirov, Adil, Sultanova, Nargiz, Al Nuaimat, Alia, Taheri, Sona. Springer New York LLC; 2018. Solving minimax problems : Local smoothing versus global smoothing.
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.