Objects
Yearwood, John, Bagirov, Adil, Kelarev, Andrei. Hershey IGI Global; 2012. Machine learning algorithms for analysis of DNA data sets.
Gaudioso, Manlio, Giallombardo, Giovanni, Miglionico, Giovanna, Bagirov, Adil. Springer New York LLC; 2018. Minimizing nonsmooth DC functions via successive DC piecewise-affine approximations.
Bagirov, Adil, Clausen, Conny, Kohler, Michael. Springer; 2008. An algorithm for the estimation of a regression function by continuous piecewise linear functions.
Hart, Sol, Yearwood, John, Bagirov, Adil. Melbourne, Victoria : IEEE; 2007. Visual tools for analysing evolution, emergence, and error in data streams.
Bagirov, Adil, Yearwood, John, Ghosh, Ranadhir. Gold Coast, Queensland : Australian National University; 2004. Optimization of feed forward MLPs using the discrete gradient method.
Karmitsa, Napsu, Bagirov, Adil, Taheri, Sona. Elsevier B.V.; 2017. New diagonal bundle method for clustering problems in large data sets.
Bagirov, Adil, Mardaneh, Karim. Inderscience Publishers; 2020. New gene selection algorithm using hypeboxes to improve performance of classifiers.
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.
Bagirov, Adil, Rubinov, Alex, Yearwood, John. ; 2001. Using global optimization to improve classification for medical diagnosis and prognosis.
Mala-Jetmarova, Helena, Barton, Andrew, Bagirov, Adil. IWA Publishing; 2015. A history of water distribution systems and their optimisation.
Bagirov, Adil, Clausen, Conny, Kohler, Michael. IEEE; 2009. Estimation of a regression function by maxima of minima of linear functions.
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. Springer; 2017. A proximal bundle method for nonsmooth DC optimization utilizing nonconvex cutting planes.
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.
Karmitsa, Napsu, Bagirov, Adil. Limited memory discrete gradient bundle method for nonsmooth derivative-free optimization. 2012.
Bagirov, Adil. ; 2002. A method for minimization of quasidifferentiable functions.
Bagirov, Adil, Rubinov, Alex. Perth : Curtin University of Technology; 2003. Penalty functions with a small penalty parameter : Numerical experiments.
Bagirov, Adil, Rubinov, Alex, Sukhorukova, Nadezda, Yearwood, John. Sociedad de Estadistica Operativa; 2003. Unsupervised and supervised data classification via nonsmooth and global optimisation.
Bagirov, Adil, Taheri, Sona. Springer Berlin Heidelberg; 2017. DC programming algorithm for clusterwise linear L1 regression.
Stranieri, Andrew, Yatsko, Andrew, Golden, Isaac, Mammadov, Musa, Bagirov, Adil. ; 2013. Capped K-NN Editing in definition lacking environments.
Karmitsa, Napsu, Bagirov, Adil, Makela, Marko. Comparing different nonsmooth minimization methods and software. 2012.
Beliakov, Gleb, Tobon, Monsalve, Bagirov, Adil. Melbourne : Springer; 2003. Parallelization of the discrete gradient method of non-smooth optimization and its applications.
Ferrer, Albert, Bagirov, Adil, Beliakov, Gleb. Springer; 2015. Solving DC programs using the cutting angle method.
Bagirov, Adil, Sultanova, Nargiz, Al Nuaimat, Alia, Taheri, Sona. Springer New York LLC; 2018. Solving minimax problems : Local smoothing versus global smoothing.
Taheri, Sona, Bagirov, Adil, Gondal, Iqbal, Brown, Simon. Springer; 2020. Cyberattack triage using incremental clustering for intrusion detection systems.
Bagirov, Adil, Zhang, Jiapu. Taylor & Francis; 2003. Comparative analysis of the cutting angle and simulated annealing methods in global optimization.
Bagirov, Adil, Rubinov, Alex, Yearwood, John. Netherlands Kluwer (Springer); 2002. A global optimization approach to classification.
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.
Bagirov, Adil, Jin, L., Karmitsa, Napsu, Al Nuaimat, A., Sultanova, Nargiz. Subgradient Method for Nonconvex Nonsmooth Optimization. 2012.
Bagirov, Adil, Rubinov, Alex. ; 2003. Cutting angle method and a local 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, Yatsko, Andrew, Stranieri, Andrew. ; 2011. Feature selection using misclassification counts.
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.
Mohebi, Ehsan, Bagirov, Adil. Springer New York LLC; 2016. Constrained self organizing maps for data clusters visualization.
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, 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).
Dzalilov, Zari, Bagirov, Adil, Mammadov, Musa. IARA; 2012. Application of optimisation-based data mining techniques to medical data sets: A comparative analysis.
Bagirov, Adil, Gaudioso, Manlio, Karmitsa, Napsu, Mäkelä, Marko, Taheri, Sona. Springer International Publishing; 2020. Final words.
Abbas, Hussein, Bagirov, Adil, Zhang, Jiapu. Canberra : IEEE; 2003. The discrete gradient evolutionary strategy method for global optimization.
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, 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.
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, Beliakov, Gleb. Springer US; 2009. Global optimization : Cutting angle method.
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.
Bagirov, Adil, Ugon, Julien, Mirzayeva, Hijran. Springer; 2015. Nonsmooth optimization algorithm for solving clusterwise linear regression problems.
Taheri, Sona, Mammadov, Musa, Bagirov, Adil. Ballarat, VIC Australian Computer Society, Inc.; 2010. Improving Naive Bayes classifier using conditional probabilities.
Bagirov, Adil. Springer US; 2009. Continuous approximations to subdifferentials.
Jia, Long, Ouveysi, Iradj, Rubinov, Alex, Bagirov, Adil. Melbourne : 2003 ATNAC Organistion Committee; 2003. Optimization based clustering algorithms in multicast group hierarchies.
Ozturk, Gurkan, Bagirov, Adil, Kasimbeyli, Refail. Kluwer Academic Publishers; 2015. An incremental piecewise linear classifier based on polyhedral conic separation.
Alguliyev, Rasim, Aliguliyev, Ramiz, Bagirov, Adil, Karimov, Rafael. Institute of Electrical and Electronics Engineers Inc.; 2017. Batch clustering algorithm for big data sets.
Moniruzzaman, Md, Bagirov, Adil, Gondal, Iqbal. Association for Computing Machinery; 2020. Partial undersampling of imbalanced data for cyber threats detection.
Bagirov, Adil. Doctor of Philosophy; 2001. The cutting angle method and its applications.
Bagirov, Adil, Ugon, Julien. Springer; 2011. Codifferential method for minimizing nonsmooth DC functions.
Bagirov, Adil. Yokohama Publishers; 2010. Alexander Rubinov - An outstanding scholar.
Bagirov, Adil, Karasozen, Bulent, Sezer, Monsalve. Springer; 2008. Discrete gradient method : Derivative-free method for nonsmooth optimization.
Bagirov, Adil, Ozturk, Gurkan, Kasimbeyli, Refail. Taylor and Francis Ltd.; 2019. A sharp augmented Lagrangian-based method in constrained non-convex optimization.
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.
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, Mason, T. L., Ghosh, Moumita. Azerbaijan Azerbaycan Dovlet Iqtisad Universiteti; 2006. Application of derivative free methods for production optimization.
Bagirov, Adil, Ugon, Julien. Taylor & Francis; 2005. An algorithm for minimizing clustering functions.
Bagirov, Adil, Ganjehlou, Asef Nazari. Taylor & Francis; 2010. A quasisecant method for minimizing nonsmooth functions.
Bagirov, Adil. Springer US; 2009. Nonsmooth optimization approach to clustering.
Bagirov, Adil. Springer US; 2009. Derivative-free methods for non-smooth optimization.
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, Taheri, Sona, Asadi, Soodabeh. American Institute of Mathematical Sciences; 2019. A difference of convex optimization algorithm for piecewise linear regression.
Bagirov, Adil, Al Nuaimat, Alia, Sultanova, Nargiz. Hyperbolic smoothing function method for minimax problems. 2013.
Dzalilov, Zari, Bagirov, Adil. ; 2010. Cluster analysis of a tobacco control data set.
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. 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, Ugon, Julien. Springer; 2006. Piecewise partially separable functions and a derivative-free algorithm for large scale nonsmooth optimization.
Karmitsa, Napsu, Bagirov, Adil, Taheri, Sona. Elsevier Ltd; 2018. Clustering in large data sets with the limited memory bundle method.
Bagirov, Adil, Ferguson, Brent, Ivkovic, Sasha, Saunders, Gary, Yearwood, John. ; 2003. New algorithms for multi-class cancer diagnosis using tumor gene expression signatures.
Tor, Ali, Bagirov, Adil, Karasozen, Bulent. ; 2014. Aggregate codifferential method for nonsmooth DC optimization.
Mohebi, Ehsan, Bagirov, Adil. Elsevier Ltd; 2014. A convolutional recursive modified Self Organizing Map for handwritten digits recognition.
Seifollahi, Sattar, Bagirov, Adil, Layton, Robert, Gondal, Iqbal. Springer New York LLC; 2017. Optimization based clustering algorithms for authorship analysis of phishing emails.
Rubinov, Alex, Yang, Xiao, Bagirov, Adil. Taylor & Francis Ltd.; 2002. Penalty functions with a small penalty parameter.
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, Beliakov, Gleb. Special issue of Optimization, dedicated to the development of the ideas of the late Prof. A. Rubinov. 2009.
Bagirov, Adil, Ganjehlou, Asef Nazari, Tor, Hakan, Ugon, Julien. ; 2010. A generalized subgradient method with piecewise linear subproblem.
Bagirov, Adil, Ugon, Julien, Webb, Dean, Karasozen, Bulent. Classification through incremental max-min separability. 2011.
Bagirov, Adil, Churilov, Leonid. Melbourne : Springer; 2003. An optimization-based approach to patient grouping for acute healthcare in Australia.
Ghosh, Ranadhir, Yearwood, John, Ghosh, Moumita, Bagirov, Adil. ; 2005. Hybridization of neural learning algorithms using evolutionary and discrete gradient approaches.
Bagirov, Adil, Rubinov, Alex, Yearwood, John, Stranieri, Andrew. Maui, Hawaii, USA : IEEE; 2001. A global optimisation approach to classification in medical diagnosis and prognosis.
Seifollahi, Sattar, Bagirov, Adil, Borzeshi, Ehsan, Piccardi, Massimo. Blackwell Publishing Inc.; 2019. A simulated annealing-based maximum-margin clustering algorithm.
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, Mohebi, Ehsan. Springer International Publishing; 2015. Nonsmooth optimization based algorithms in cluster analysis.
Rubinov, Alex, Yang, Xiao, Bagirov, Adil, Gasimov, Rafail. St Petersberg Russia Plenum Publishing Corporation (Springer); 2003. Lagrange-type functions in constrained optimization.
Estrada-Moreno, Alejandro, Ferrer, Albert, Juan, Angel, Panadero, Javier, Bagirov, Adil. MDPI AG; 2020. The non-smooth and bi-objective team orienteering problem with soft constraints.
Bagirov, Adil, Mahmood, Arshad, Barton, Andrew. Elsevier Ltd; 2017. Prediction of monthly rainfall in Victoria, Australia : Clusterwise linear regression approach.
Alyguliev, R. M., Bagirov, Adil. ; 2005. Global optimization in the summarization of text documents.
Demyanov, Vladimir, Bagirov, Adil, Rubinov, Alex. ; 2002. A method of truncated codifferential with application to some problems of cluster analysis.
Mohebi, Ehsan, Bagirov, Adil. ; 2013. A new modification of Kohonen neural network for VQ and clustering problems.
Bagirov, Adil, Soukhoroukova, Nadejda. Canberra, Australian Capital Territory :; 2001. Nonsmooth optimisation approach to data classification.
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.
Taheri, Sona, Gondal, Iqbal, Bagirov, Adil, Harkness, Greg, Brown, Simon, Chi, Chihung. Institute of Electrical and Electronics Engineers Inc.; 2019. Multi-source cyber-attacks detection using machine learning.
Beliakov, Gleb, Bagirov, Adil. Taylor and Francis; 2006. Non-smooth optimization methods for computation of the conditional value-at-risk and portfolio optimization.
Yearwood, John, Bagirov, Adil, Kelarev, Andrei. Optimization methods and the k-committees algorithm for clustering of sequence data. 2009.
Bagirov, Adil, Ugon, Julien, Mirzayeva, Hijran. Nonsmooth nonconvex optimization approach to clusterwise linear regression problems. 2013.
Ugon, Julien, Bagirov, Adil. ; 2005. Supervised data classification via max-min separability.
Bagirov, Adil, Ugon, Julien. Taylor and Francis Ltd.; 2018. Nonsmooth DC programming approach to clusterwise linear regression : Optimality conditions and algorithms.