Objects
Bagirov, Adil, Mardaneh, Karim. Inderscience Publishers; 2020. New gene selection algorithm using hypeboxes to improve performance of classifiers.
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.
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. ; 2001. Global optimization of marginal functions with applications to economic equilibrium.
Bagirov, Adil, Ugon, Julien. Taylor & Francis; 2005. An algorithm for minimizing clustering functions.
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.
Demyanov, Vladimir, Bagirov, Adil, Rubinov, Alex. ; 2002. A method of truncated codifferential with application to some problems of cluster analysis.
Bagirov, Adil, Ferguson, Brent, Ivkovic, Sasha, Saunders, Gary, Yearwood, John. ; 2003. New algorithms for multi-class cancer diagnosis using tumor gene expression signatures.
Bagirov, Adil, Ganjehlou, Asef Nazari, Tor, Hakan, Ugon, Julien. ; 2010. A generalized subgradient method with piecewise linear subproblem.
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.
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, Ganjehlou, Asef Nazari. Taylor & Francis; 2010. A quasisecant method for minimizing nonsmooth functions.
Bagirov, Adil, Rubinov, Alex, Yearwood, John. Netherlands Kluwer (Springer); 2002. A global optimization approach to classification.
Bagirov, Adil, Churilov, Leonid. Melbourne : Springer; 2003. An optimization-based approach to patient grouping for acute healthcare in Australia.
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.
Beliakov, Gleb, Bagirov, Adil. Taylor and Francis; 2006. Non-smooth optimization methods for computation of the conditional value-at-risk and portfolio optimization.
Bagirov, Adil, Clausen, Conny, Kohler, Michael. IEEE; 2009. Estimation of a regression function by maxima of minima of linear functions.
Jia, Long, Ouveysi, Iradj, Rubinov, Alex, Bagirov, Adil. Melbourne : 2003 ATNAC Organistion Committee; 2003. Optimization based clustering algorithms in multicast group hierarchies.
Bagirov, Adil, Yatsko, Andrew, Stranieri, Andrew. ; 2011. Feature selection using misclassification counts.
Bagirov, Adil, Ugon, Julien, Webb, Dean. An efficient algorithm for the incremental construction of a piecewise linear classifier. 2011.
Bagirov, Adil, Rubinov, Alex, Yearwood, John, Stranieri, Andrew. Maui, Hawaii, USA : IEEE; 2001. A global optimisation approach to classification in medical diagnosis and prognosis.
Mason, T. L., Emelle, C., Van Berkel, J., Bagirov, Adil, Kampas, F., Pinter, J. D.. ; 2007. Integrated production system optimization using global optimization techniques.
Abbas, Hussein, Bagirov, Adil, Zhang, Jiapu. Canberra : IEEE; 2003. The discrete gradient evolutionary strategy method for global optimization.
Bagirov, Adil. Taylor & Francis; 2005. Max-min separability.
Bagirov, Adil, Lai, Daniel, Palaniswami, M.. Melbourne, Victoria : IEEE; 2007. A nonsmooth optimization approach to sensor network localization.
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.
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, Rubinov, Alex, Zhang, Jiapu. A multidimensional descent method for global optimization. 2009.
Bagirov, Adil. Yokohama Publishers; 2010. Alexander Rubinov - An outstanding scholar.
Ordin, Burak, Bagirov, Adil, Mohebi, Ehsam. American Institute of Mathematical Sciences; 2020. An incremental nonsmooth optimization algorithm for clustering using L1 and L∞ norms.
Bagirov, Adil, Taheri, Sona, Cimen, Emre. Elsevier B.V.; 2021. Incremental DC optimization algorithm for large-scale clusterwise linear regression.
Bagirov, Adil. Springer US; 2009. Nonsmooth optimization approach to clustering.
Ghosh, Ranadhir, Ghosh, Moumita, Yearwood, John, Bagirov, Adil. Leipzig, Germany : Springer; 2005. Determining regularization parameters for derivative free neural learning.
Bagirov, Adil, Ganjehlou, Asef Nazari. Springer-Verlag; 2008. An approximate subgradient algorithm for unconstrained nonsmooth, nonconvex optimization.
Bagirov, Adil, Rubinov, Alex. ; 2003. Cutting angle method and a local search.
Bagirov, Adil, Rubinov, Alex. Perth : Curtin University of Technology; 2003. Penalty functions with a small penalty parameter : Numerical experiments.
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, Ugon, Julien, Barton, Andrew, Briggs, Steven. Darwin, Northern Territory : Engineers Australia; 2008. Optimisation of operations of a water distribution system for reduced power usage.
Ugon, Julien, Bagirov, Adil. ; 2005. Supervised data classification via max-min separability.
Beliakov, Gleb, Tobon, Monsalve, Bagirov, Adil. Melbourne : Springer; 2003. Parallelization of the discrete gradient method of non-smooth optimization and its applications.
Rubinov, Alex, Yang, Xiao, Bagirov, Adil, Gasimov, Rafail. St Petersberg Russia Plenum Publishing Corporation (Springer); 2003. Lagrange-type functions in constrained optimization.
Ghosh, Ranadhir, Yearwood, John, Ghosh, Moumita, Bagirov, Adil. ; 2005. Hybridization of neural learning algorithms using evolutionary and discrete gradient approaches.
Bagirov, Adil, Mardaneh, Karim. Hobart, Tasmania : Australian Computer Society; 2006. Modified global k-means algorithm for clustering in gene expression data sets.
Bagirov, Adil, Zhang, Jiapu. Taylor & Francis; 2003. Comparative analysis of the cutting angle and simulated annealing methods in global optimization.
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, Yearwood, John, Ghosh, Ranadhir. Gold Coast, Queensland : Australian National University; 2004. Optimization of feed forward MLPs using the discrete gradient method.
Bagirov, Adil, Mason, T. L., Ghosh, Moumita. Azerbaijan Azerbaycan Dovlet Iqtisad Universiteti; 2006. Application of derivative free methods for production optimization.
Bagirov, Adil. Springer US; 2009. Continuous approximations to subdifferentials.
Bagirov, Adil, Karasozen, Bulent, Sezer, Monsalve. Springer; 2008. Discrete gradient method : Derivative-free method for nonsmooth optimization.
Bagirov, Adil, Clausen, Conny, Kohler, Michael. IEEE; 2010. An L-2-Boosting Algorithm for Estimation of a Regression Function.
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. New York USA Kluwer (Springer); 2003. Continuous subdifferential approximations and their applications.
Bagirov, Adil, Clausen, Conny, Kohler, Michael. Springer; 2008. An algorithm for the estimation of a regression function by continuous piecewise linear functions.
Rubinov, Alex, Yang, Xiao, Bagirov, Adil. Taylor & Francis Ltd.; 2002. Penalty functions with a small penalty parameter.
Bagirov, Adil, Yearwood, John. Elsevier; 2006. A new nonsmooth optimization algorithm for minimum sum-of-squares clustering problems.
Bagirov, Adil, Ugon, Julien. Springer; 2006. Piecewise partially separable functions and a derivative-free algorithm for large scale nonsmooth optimization.
Bagirov, Adil. Elsevier; 2008. Modified global k-means algorithm for minimum sum-of-squares clustering problems.
Bagirov, Adil, Soukhoroukova, Nadejda. Canberra, Australian Capital Territory :; 2001. Nonsmooth optimisation approach to data classification.
Bagirov, Adil. Springer Verlag; 2009. Comments on : Optimization and data mining in medicine.
Bagirov, Adil. ; 2002. A method for minimization of quasidifferentiable functions.
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. Fast modified global k-means algorithm for incremental cluster construction. 2011.
Bagirov, Adil, Rubinov, Alex, Yearwood, John. ; 2001. Using global optimization to improve classification for medical diagnosis and prognosis.
Bagirov, Adil. Springer US; 2009. Derivative-free methods for non-smooth optimization.
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, Sukhorukova, Nadezda, Yearwood, John. Sociedad de Estadistica Operativa; 2003. Unsupervised and supervised data classification via nonsmooth and global optimisation.
Dzalilov, Zari, Zhang, J, Bagirov, Adil, Mammadov, Musa. ; 2010. Application of optimisation-based data mining techniques to tobacco control dataset.
Ordin, Burak, Bagirov, Adil. Kluwer Academic Publishers; 2015. A heuristic algorithm for solving the minimum sum-of-squares clustering problems.
Makela, Marko, Karmitsa, Napsu, Bagirov, Adil. Springer; 2013. Subgradient and bundle methods for nonsmooth optimization.
Bagirov, Adil, Ugon, Julien. Springer; 2011. Codifferential method for minimizing nonsmooth DC functions.
Taheri, Sona, Mammadov, Musa, Bagirov, Adil. Ballarat, VIC Australian Computer Society, Inc.; 2010. Improving Naive Bayes classifier using conditional probabilities.
Yearwood, John, Bagirov, Adil, Kelarev, Andrei. Hershey IGI Global; 2012. Machine learning algorithms for analysis of DNA data sets.
Alyguliev, R. M., Bagirov, Adil. ; 2005. Global optimization in the summarization of text documents.
Bagirov, Adil, Beliakov, Gleb. Springer US; 2009. Global optimization : Cutting angle method.
Bagirov, Adil, Rubinov, Alex, Zhang, Jiapu. Springer; 2005. Local optimization method with global multidimensional search.
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. A new modified global k-means algorithm for clustering large data sets.
Ghosh, Ranadhir, Ghosh, Moumita, Bagirov, Adil. Berlin Springer-Verlag Berlin; 2006. Derivative free stochastic discrete gradient method with adaptive mutation.
Bagirov, Adil, Beliakov, Gleb. Special issue of Optimization, dedicated to the development of the ideas of the late Prof. A. Rubinov. 2009.
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.
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.
Stranieri, Andrew, Yatsko, Andrew, Golden, Isaac, Mammadov, Musa, Bagirov, Adil. ; 2013. Capped K-NN Editing in definition lacking environments.
Bagirov, Adil, Ugon, Julien, Mirzayeva, Hijran. Springer Verlag; 2014. An algorithm for clusterwise linear regression based on smoothing techniques.
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.
Karmitsa, Napsu, Bagirov, Adil, Makela, Marko. Comparing different nonsmooth minimization methods and software. 2012.
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).
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.
Bagirov, Adil, Ugon, Julien, Webb, Dean, Ozturk, Gurkan, Kasimbeyli, Refail. ; 2011. A novel piecewise linear classifier based on polyhedral conic and max-min separabilities.
Karmitsa, Napsu, Bagirov, Adil. Limited memory discrete gradient bundle method for nonsmooth derivative-free optimization. 2012.
Bagirov, Adil, Ugon, Julien, Webb, Dean, Karasozen, Bulent. Classification through incremental max-min separability. 2011.
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.
Dzalilov, Zari, Bagirov, Adil. ; 2010. Cluster analysis of a tobacco control data set.
Dzalilov, Zari, Bagirov, Adil, Mammadov, Musa. IARA; 2012. Application of optimisation-based data mining techniques to medical data sets: A comparative analysis.
Bagirov, Adil, Al Nuaimat, Alia, Sultanova, Nargiz. Hyperbolic smoothing function method for minimax problems. 2013.
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.
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, Ugon, Julien, Mirzayeva, Hijran. Nonsmooth nonconvex optimization approach to clusterwise linear regression problems. 2013.
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.
Mohebi, Ehsan, Bagirov, Adil. Elsevier Ltd; 2014. A convolutional recursive modified Self Organizing Map for handwritten digits recognition.
Bagirov, Adil, Jin, L., Karmitsa, Napsu, Al Nuaimat, A., Sultanova, Nargiz. Subgradient Method for Nonconvex Nonsmooth Optimization. 2012.