Adil M. Bagirov

97 papers A* 1B 2Misc 5Journal 71Unranked 14

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Absolute indices for determining compactness, separability and number of clusters. CoRR Adil M. Bagirov, Ramiz M. Aliguliyev, Nargiz Sultanova, Sona Taheri
2025	—	`conf`	Hybrid Subgradient and Simulated Annealing Method for Hemivariational Inequalities. ICCS (Workshops 2) Piotr Bartman-Szwarc, Adil M. Bagirov, Anna Ochal
2025	J	`jnl`	Hybrid subgradient and simulated annealing method for hemivariational inequalities. CoRR Piotr Bartman-Szwarc, Adil M. Bagirov, Anna Ochal
2024	B	`conf`	Discriminating Malware Families using Partitional Clustering. TrustCom Pooja Mishra, Paul Black, Adil M. Bagirov, Shaoning Pang
2024	J	`jnl`	Fuzzy Multiview Graph Learning on Sparse Electronic Health Records. IEEE Trans. Fuzzy Syst. Tao Tang, Zhuoyang Han, Shuo Yu, Adil M. Bagirov, Qiang Zhang
2024	J	`jnl`	Robust clustering algorithm: The use of soft trimming approach. Pattern Recognit. Lett. Sona Taheri, Adil M. Bagirov, Nargiz Sultanova, Burak Ordin
2024	—	`conf`	Semi-supervised clustering algorithm for data streams. ISCMI Yongjia Yuan, Sona Taheri, Adil M. Bagirov
2023	J	`jnl`	A novel optimization approach towards improving separability of clusters. Comput. Oper. Res. Adil M. Bagirov, Najmeh Hoseini Monjezi, Sona Taheri
2023	J	`jnl`	Bundle Enrichment Method for Nonsmooth Difference of Convex Programming Problems. Algorithms Manlio Gaudioso, Sona Taheri, Adil M. Bagirov, Napsu Karmitsa
2023	J	`jnl`	Finding compact and well-separated clusters: Clustering using silhouette coefficients. Pattern Recognit. Adil M. Bagirov, Ramiz M. Aliguliyev, Nargiz Sultanova
2023	J	`jnl`	Methods and Applications of Clusterwise Linear Regression: A Survey and Comparison. ACM Trans. Knowl. Discov. Data Qiang Long, Adil M. Bagirov, Sona Taheri, Nargiz Sultanova, Xue Wu
2023	J	`jnl`	Nonsmooth Optimization-Based Hyperparameter-Free Neural Networks for Large-Scale Regression. Algorithms Napsu Karmitsa, Sona Taheri, Kaisa Joki, Pauliina Paasivirta, Adil M. Bagirov, Marko M. Mäkelä
2023	J	`jnl`	Nonsmooth Optimization-Based Model and Algorithm for Semisupervised Clustering. IEEE Trans. Neural Networks Learn. Syst. Adil M. Bagirov, Sona Taheri, Fusheng Bai, Fangying Zheng
2022	J	`jnl`	Missing Value Imputation via Clusterwise Linear Regression. IEEE Trans. Knowl. Data Eng. Napsu Karmitsa, Sona Taheri, Adil M. Bagirov, Pauliina Mäkinen
2022	J	`jnl`	Robust piecewise linear Optim. Methods Softw. Adil M. Bagirov, Sona Taheri, Napsu Karmitsa, Nargiz Sultanova, Soodabeh Asadi
2021	J	`jnl`	Aggregate subgradient method for nonsmooth DC optimization. Optim. Lett. Adil M. Bagirov, Sona Taheri, Kaisa Joki, Napsu Karmitsa, Marko M. Mäkelä
2021	J	`jnl`	An augmented subgradient method for minimizing nonsmooth DC functions. Comput. Optim. Appl. Adil M. Bagirov, Najmeh Hoseini Monjezi, Sona Taheri
2021	J	`jnl`	Incremental DC optimization algorithm for large-scale clusterwise linear regression. J. Comput. Appl. Math. Adil M. Bagirov, Sona Taheri, Emre Çimen
2020	J	`jnl`	A biased-randomised algorithm for the capacitated facility location problem with soft constraints. J. Oper. Res. Soc. Alejandro Estrada-Moreno, Alberto Ferrer, Angel A. Juan, Adil M. Bagirov, Javier Panadero
2020	J	`jnl`	Clusterwise support vector linear regression. Eur. J. Oper. Res. Kaisa Joki, Adil M. Bagirov, Napsu Karmitsa, Marko M. Mäkelä, Sona Taheri
2020	J	`jnl`	Cyberattack triage using incremental clustering for intrusion detection systems. Int. J. Inf. Sec. Sona Taheri, Adil M. Bagirov, Iqbal Gondal, Simon Brown
2020	J	`jnl`	New gene selection algorithm using hypeboxes to improve performance of classifiers. Int. J. Bioinform. Res. Appl. Adil M. Bagirov, Karim Mardaneh
2020	—	`conf`	Partial Undersampling of Imbalanced Data for Cyber Threats Detection. ACSW Md. Moniruzzaman, Adil M. Bagirov, Iqbal Gondal
2020	J	`jnl`	Prediction of gold-bearing localised occurrences from limited exploration data. Int. J. Comput. Sci. Eng. Igor Grigoryev, Adil M. Bagirov, Michael Tuck
2019	—	`conf`	A Comparative Study of Unsupervised Classification Algorithms in Multi-Sized Data Sets. AICCC Syed Quddus, Adil M. Bagirov
2019	J	`jnl`	A sharp augmented Lagrangian-based method in constrained non-convex optimization. Optim. Methods Softw. Adil M. Bagirov, Gürkan Öztürk, Refail Kasimbeyli
2019	J	`jnl`	A simulated annealing-based maximum-margin clustering algorithm. Comput. Intell. Sattar Seifollahi, Adil M. Bagirov, Ehsan Zare Borzeshi, Massimo Piccardi
2019	—	`conf`	Multi-Source Cyber-Attacks Detection using Machine Learning. ICIT Sona Taheri, Iqbal Gondal, Adil M. Bagirov, Greg Harkness, Simon Brown, Chihung Chi
2018	—	`conf`	A Server Side Solution for Detecting WebInject: A Machine Learning Approach. PAKDD (Workshops) Md. Moniruzzaman, Adil M. Bagirov, Iqbal Gondal, Simon Brown
2018	J	`jnl`	Clustering in large data sets with the limited memory bundle method. Pattern Recognit. Napsu Karmitsa, Adil M. Bagirov, Sona Taheri
2018	J	`jnl`	Double Bundle Method for finding Clarke Stationary Points in Nonsmooth DC Programming. SIAM J. Optim. Kaisa Joki, Adil M. Bagirov, Napsu Karmitsa, Marko M. Mäkelä, Sona Taheri
2018	J	`jnl`	Minimizing nonsmooth DC functions via successive DC piecewise-affine approximations. J. Glob. Optim. Manlio Gaudioso, Giovanni Giallombardo, Giovanna Miglionico, Adil M. Bagirov
2018	J	`jnl`	Nonsmooth DC programming approach to clusterwise linear regression: optimality conditions and algorithms. Optim. Methods Softw. Adil M. Bagirov, Julien Ugon
2018	J	`jnl`	Preface of the special issue: the 6th International Conference on Optimization and Control with Applications (6th OCA). Optim. Lett. Kok Lay Teo, Adil M. Bagirov, Wuyi Yue
2018	—	`conf`	SMGKM: An Efficient Incremental Algorithm for Clustering Document Collections. CICLing (2) Adil M. Bagirov, Sattar Seifollahi, Massimo Piccardi, Ehsan Zare Borzeshi, Bernie Kruger
2017	J	`jnl`	A proximal bundle method for nonsmooth DC optimization utilizing nonconvex cutting planes. J. Glob. Optim. Kaisa Joki, Adil M. Bagirov, Napsu Karmitsa, Marko M. Mäkelä
2017	J	`jnl`	New diagonal bundle method for clustering problems in large data sets. Eur. J. Oper. Res. Napsu Karmitsa, Adil M. Bagirov, Sona Taheri
2017	J	`jnl`	Optimization Based Clustering Algorithms for Authorship Analysis of Phishing Emails. Neural Process. Lett. Sattar Seifollahi, Adil M. Bagirov, Robert Layton, Iqbal Gondal
2016	J	`jnl`	An Algorithm for Clustering Using Comput. Intell. Adil M. Bagirov, Ehsan Mohebi
2016	J	`jnl`	Constrained Self Organizing Maps for Data Clusters Visualization. Neural Process. Lett. Ehsan Mohebi, Adil M. Bagirov
2016	J	`jnl`	Nonsmooth DC programming approach to the minimum sum-of-squares clustering problems. Pattern Recognit. Adil M. Bagirov, Sona Taheri, Julien Ugon
2015	J	`jnl`	A heuristic algorithm for solving the minimum sum-of-squares clustering problems. J. Glob. Optim. Burak Ordin, Adil M. Bagirov
2015	J	`jnl`	An algorithm for clusterwise linear regression based on smoothing techniques. Optim. Lett. Adil M. Bagirov, Julien Ugon, Hijran G. Mirzayeva
2015	J	`jnl`	An incremental clustering algorithm based on hyperbolic smoothing. Comput. Optim. Appl. Adil M. Bagirov, Burak Ordin, Gürkan Öztürk, Adilson Elias Xavier
2015	J	`jnl`	An incremental piecewise linear classifier based on polyhedral conic separation. Mach. Learn. Gürkan Öztürk, Adil M. Bagirov, Refail Kasimbeyli
2015	J	`jnl`	Diagnostic with incomplete nominal/discrete data. Artif. Intell. Res. Herbert F. Jelinek, Andrew Yatsko, Andrew Stranieri, Sitalakshmi Venkatraman, Adil M. Bagirov
2015	J	`jnl`	Modified self-organising maps with a new topology and initialisation algorithm. J. Exp. Theor. Artif. Intell. Ehsan Mohebi, Adil M. Bagirov
2015	J	`jnl`	Nonsmooth Optimization Algorithm for Solving Clusterwise Linear Regression Problems. J. Optim. Theory Appl. Adil M. Bagirov, Julien Ugon, Hijran G. Mirzayeva
2015	J	`jnl`	Solving DC programs using the cutting angle method. J. Glob. Optim. Alberto Ferrer, Adil M. Bagirov, Gleb Beliakov
2014	J	`jnl`	A convolutional recursive modified Self Organizing Map for handwritten digits recognition. Neural Networks Ehsan Mohebi, Adil M. Bagirov
2014	J	`jnl`	Aggregate codifferential method for nonsmooth DC optimization. J. Comput. Appl. Math. Ali Hakan Tor, Adil M. Bagirov, Bülent Karasözen
2014	—	`conf`	CR-Modified SOM to the Problem of Handwritten Digits Recognition. SGAI Conf. Ehsan Mohebi, Adil M. Bagirov
2014	J	`jnl`	Preface of the special issue OR: connecting sciences supported by global optimization related to the 25th European conference on operational research (EURO XXV 2012). J. Glob. Optim. Adil M. Bagirov, Kaisa Miettinen, Gerhard-Wilhelm Weber
2013	J	`jnl`	An algorithm for minimization of pumping costs in water distribution systems using a novel approach to pump scheduling. Math. Comput. Model. Adil M. Bagirov, A. F. Barton, H. Mala-Jetmarova, A. Al Nuaimat, S. T. Ahmed, Napsu Sultanova, John Yearwood
2013	J	`jnl`	Nonsmooth nonconvex optimization approach to clusterwise linear regression problems. Eur. J. Oper. Res. Adil M. Bagirov, Julien Ugon, Hijran G. Mirzayeva
2013	J	`jnl`	Subgradient Method for Nonconvex Nonsmooth Optimization. J. Optim. Theory Appl. Adil M. Bagirov, L. Jin, Napsu Karmitsa, A. Al Nuaimat, Napsu Sultanova
2012	J	`jnl`	Comparing different nonsmooth minimization methods and software. Optim. Methods Softw. N. M. S. Karmitsa, Adil M. Bagirov, Marko M. Mäkelä
2011	Misc	`conf`	A novel hybrid neural learning algorithm using simulated annealing and quasisecant method. AusDM John Yearwood, Adil M. Bagirov, Sattar Seifollahi
2011	J	`jnl`	An efficient algorithm for the incremental construction of a piecewise linear classifier. Inf. Syst. Adil M. Bagirov, Julien Ugon, Dean Webb
2011	J	`jnl`	Classification through incremental max-min separability. Pattern Anal. Appl. Adil M. Bagirov, Julien Ugon, Dean Webb, Bülent Karasözen
2011	J	`jnl`	Codifferential method for minimizing nonsmooth DC functions. J. Glob. Optim. Adil M. Bagirov, Julien Ugon
2011	J	`jnl`	Fast modified global k-means algorithm for incremental cluster construction. Pattern Recognit. Adil M. Bagirov, Julien Ugon, Dean Webb
2011	Misc	`conf`	Feature Selection using Misclassification Counts. AusDM Adil M. Bagirov, Andrew Yatsko, Andrew Stranieri, Herbert F. Jelinek
2011	Misc	`conf`	Improving Naive Bayes Classifier Using Conditional Probabilities. AusDM Sona Taheri, Musa Mammadov, Adil M. Bagirov
2010	J	`jnl`	A quasisecant method for minimizing nonsmooth functions. Optim. Methods Softw. Adil M. Bagirov, Asef Nazari Ganjehlou
2010	J	`jnl`	An L2-boosting algorithm for estimation of a regression function. IEEE Trans. Inf. Theory Adil M. Bagirov, Conny Clausen, Michael Kohler
2010	J	`jnl`	An algorithm for the estimation of a regression function by continuous piecewise linear functions. Comput. Optim. Appl. Adil M. Bagirov, Conny Clausen, Michael Kohler
2009	—	`ch.`	Continuous Approximations to Subdifferentials. Encyclopedia of Optimization Adil M. Bagirov
2009	—	`ch.`	Derivative-Free Methods for Non-smooth Optimization. Encyclopedia of Optimization Adil M. Bagirov
2009	J	`jnl`	Estimation of a Regression Function by Maxima of Minima of Linear Functions. IEEE Trans. Inf. Theory Adil M. Bagirov, Conny Clausen, Michael Kohler
2009	—	`ch.`	Global Optimization: Cutting Angle Method. Encyclopedia of Optimization Adil M. Bagirov, Gleb Beliakov
2009	—	`ch.`	Nonsmooth Optimization Approach to Clustering. Encyclopedia of Optimization Adil M. Bagirov
2008	J	`jnl`	An approximate subgradient algorithm for unconstrained nonsmooth, nonconvex optimization. Math. Methods Oper. Res. Adil M. Bagirov, Asef Nazari Ganjehlou
2008	J	`jnl`	Modified global k-means algorithm for minimum sum-of-squares clustering problems. Pattern Recognit. Adil M. Bagirov
2007	—	`conf`	Visual Tools for Analysing Evolution, Emergence, and Error in Data Streams. ACIS-ICIS Sol Hart, John Yearwood, Adil M. Bagirov
2006	J	`jnl`	A Hybrid Neural Learning Algorithm Using Evolutionary Learning and Derivative Free Local Search Method. Int. J. Neural Syst. Ranadhir Ghosh, John Yearwood, Moumita Ghosh, Adil M. Bagirov
2006	J	`jnl`	A new nonsmooth optimization algorithm for minimum sum-of-squares clustering problems. Eur. J. Oper. Res. Adil M. Bagirov, John Yearwood
2006	A*	`conf`	Derivative Free Stochastic Discrete Gradient Method with Adaptive Mutation. ICDM Ranadhir Ghosh, Moumita Ghosh, Adil M. Bagirov
2006	J	`jnl`	Piecewise Partially Separable Functions and a Derivative-free Algorithm for Large Scale Nonsmooth Optimization. J. Glob. Optim. Adil M. Bagirov, Julien Ugon
2005	—	`conf`	Comparative Analysis of Genetic Algorithm, Simulated Annealing and Cutting Angle Method for Artificial Neural Networks. MLDM Ranadhir Ghosh, Moumita Ghosh, John Yearwood, Adil M. Bagirov
2005	J	`jnl`	Data Mining with Combined Use of Optimization Techniques and Self-Organizing Maps for Improving Risk Grouping Rules: Application to Prostate Cancer Patients. J. Manag. Inf. Syst. Leonid Churilov, Adil M. Bagirov, Daniel Schwartz, Kate A. Smith, Michael Dally
2005	—	`conf`	Determining Regularization Parameters for Derivative Free Neural Learning. MLDM Ranadhir Ghosh, Moumita Ghosh, John Yearwood, Adil M. Bagirov
2005	—	`conf`	Fusion Strategies for Neural Learning Algorithms using Evolutionary and Discrete Gradient Approaches. Artificial Intelligence and Applications Ranadhir Ghosh, John Yearwood, Moumita Ghosh, Adil M. Bagirov
2005	J	`jnl`	Local Optimization Method with Global Multidimensional Search. J. Glob. Optim. Adil M. Bagirov, Alexander M. Rubinov, Jiapu Zhang
2005	J	`jnl`	Max-min separability. Optim. Methods Softw. Adil M. Bagirov
2004	—	`conf`	Improving Risk Grouping Rules for Prostate Cancer Patients with Optimization. HICSS Leonid Churilov, Adil M. Bagirov, Daniel Schwartz, Kate A. Smith, Michael Dally
2003	Misc	`conf`	An Optimization-Based Approach to Patient Grouping for Acute Healthcare in Australia. International Conference on Computational Science Adil M. Bagirov, Leonid Churilov
2003	J	`jnl`	Cutting Angle Method and a Local Search. J. Glob. Optim. Adil M. Bagirov, Alexander M. Rubinov
2003	J	`jnl`	New algorithms for multi-class cancer diagnosis using tumor gene expression signatures. Bioinform. Adil M. Bagirov, Brent Ferguson, Sasha Ivkovic, G. Saunders, John Yearwood
2003	Misc	`conf`	Parallelization of the Discrete Gradient Method of Non-smooth Optimization and Its Applications. International Conference on Computational Science Gleb Beliakov, J. E. Monsalve Tobon, Adil M. Bagirov
2003	B	`conf`	The discrete gradient evolutionary strategy method for global optimization. IEEE Congress on Evolutionary Computation Hussein A. Abbass, Adil M. Bagirov, Jiapu Zhang
2002	J	`jnl`	A Method for Minimization of Quasidifferentiable Functions. Optim. Methods Softw. Adil M. Bagirov
2002	J	`jnl`	A method of truncated codifferential with application to some problems of cluster analysis. J. Glob. Optim. Vladimir F. Demyanov, Adil M. Bagirov, Alexander M. Rubinov
2002	J	`jnl`	Penalty functions with a small penalty parameter. Optim. Methods Softw. Alex M. Rubinov, X. Q. Yang, Adil M. Bagirov
2001	—	`conf`	A Global Optimization Approach to Classification in Medical Diagnosis and Prognosis. HICSS Adil M. Bagirov, Alexander M. Rubinov, John Yearwood, Andrew Stranieri
2001	J	`jnl`	Global Optimization of Marginal Functions with Applications to Economic Equilibrium. J. Glob. Optim. Adil M. Bagirov, Alexander M. Rubinov
2000	J	`jnl`	Global Minimization of Increasing Positively Homogeneous Functions over the Unit Simplex. Ann. Oper. Res. Adil M. Bagirov, Alexander M. Rubinov