Fuzzy Derivative & Its Application to Data Classification. - Musa A. Mammadov (FUZZ-IEEE, 2001)

An Induction Algorithm with Selection Significance Based on a Fuzzy Derivative. - Musa A. Mamedov; John Yearwood (HIS, 2001)

A Nonsmooth Optimization Approach to H ∞ Synthesis. - Musa A. Mammadov; Robert Orsi (CDC/ECC, 2005)

A Filled Function Method for Box-constrained System of Nonlinear Equations. - Zhi-You Wu; Musa Mammadov; Fu-Sheng Bai (APCCAS, 2006)

Coverage in WLAN with Minimum Number of Access Points. - Shahnaz Kouhbor; Julien Ugon; Alex M. Rubinov; Alex Kruger; Musa A. Mammadov (VTC Spring, 2006)

Statistical limit inferior and limit superior for sequences of fuzzy numbers. - Salih Aytar; Musa A. Mammadov; Serpil Pehlivan (Fuzzy Sets Syst., 2006)

Using Links to Aid Web Classification. - Wei Xie; Musa A. Mammadov; John Yearwood (ACIS-ICIS, 2007)

Effectiveness of Using Quantified Intermarket Influence for Predicting Trading Signals of Stock Markets. - Chandima Tilakaratne; Musa A. Mammadov; Sidney A. Morris (AusDM, 2007)

A filled function method for nonlinear equations. - Zhi-You Wu; Musa Mammadov; Fu-Sheng Bai; Y. J. Yang (Appl. Math. Comput., 2007)

The study of drug-reaction relationships using global optimization techniques. - Musa A. Mammadov; Alexander M. Rubinov; John Yearwood (Optim. Methods Softw., 2007)

Predicting Trading Signals of Stock Market Indices Using Neural Networks. - Chandima Tilakaratne; Musa A. Mammadov; Sidney A. Morris (Australasian Conference on Artificial Intelligence, 2008)

To be fair or efficient or a bit of both. - Moshe Zukerman; Musa Mammadov; Liansheng Tan; Iradj Ouveysi; Lachlan L. H. Andrew (Comput. Oper. Res., 2008)

The core of a sequence of fuzzy numbers. - Salih Aytar; Serpil Pehlivan; Musa A. Mammadov (Fuzzy Sets Syst., 2008)

A new filled function method for nonlinear equations. - Youjiang Lin; Yongjian Yang 006; Musa Mammadov (Appl. Math. Comput., 2009)

Solving a system of nonlinear integral equations by an RBF network. - Ahmad Golbabai; Musa A. Mammadov; Sattar Seifollahi (Comput. Math. Appl., 2009)

Modified Neural Network Algorithms for Predicting Trading Signals of Stock Market Indices. - Chandima Tilakaratne; Musa A. Mammadov; Sidney A. Morris (Adv. Decis. Sci., 2009)

On Weak Subdifferentials, Directional Derivatives, and Radial Epiderivatives for Nonconvex Functions. - Refail Kasimbeyli; Musa Mammadov (SIAM J. Optim., 2009)

Statistical Convergence and Turnpike Theory. - Musa A. Mammadov (Encyclopedia of Optimization, 2009)

Turnpike Theory: Stability of Optimal Trajectories. - Musa A. Mammadov (Encyclopedia of Optimization, 2009)

Profiling Phishing Emails Based on Hyperlink Information. - John Yearwood; Musa A. Mammadov; Arunava Banerjee (ASONAM, 2010)

A New Supervised Term Ranking Method for Text Categorization. - Musa A. Mammadov; John Yearwood; Lei Zhao 002 (Australasian Conference on Artificial Intelligence, 2010)

Vibration analysis: Optimization of parameters of the two mass model based on Kelvin elements. - Alexey Kuznetsov; Musa A. Mammadov; Ibrahim A. Sultan; Ibrahim Hajilarov (ICCA, 2010)

From Convex to Nonconvex: A Loss Function Analysis for Binary Classification. - Lei Zhao 002; Musa A. Mammadov; John Yearwood (ICDM Workshops, 2010)

An inexact modified subgradient algorithm for nonconvex optimization. - Regina Sandra Burachik; C. Yalçin Kaya; Musa Mammadov (Comput. Optim. Appl., 2010)

Drug-drug interactions: A Data Mining Approach. - Musa A. Mammadov (AusDM, 2011)

Improving Naive Bayes Classifier Using Conditional Probabilities. - Sona Taheri; Musa Mammadov; Adil M. Bagirov (AusDM, 2011)

Global Optimality Conditions and Optimization Methods for Quadratic Knapsack Problems. - Zhi-You Wu; Y. J. Yang; Fu-Sheng Bai; Musa Mammadov (J. Optim. Theory Appl., 2011)

A new method for solving linear ill-posed problems. - Jianjun Zhang; Musa Mammadov (Appl. Math. Comput., 2012)

Profiling phishing activity based on hyperlinks extracted from phishing emails. - John Yearwood; Musa A. Mammadov; Dean Webb (Soc. Netw. Anal. Min., 2012)

Learning the naive Bayes classifier with optimization models. - Sona Taheri; Musa A. Mammadov (Int. J. Appl. Math. Comput. Sci., 2013)

Global stabilization in nonlinear discrete systems with time-delay. - Anatoli F. Ivanov; Musa A. Mammadov; Sergei I. Trofimchuk (J. Glob. Optim., 2013)

Preface: Special issue of JOGO MEC EurOPT 2010-Izmir. - Refail Kasimbeyli; Musa Mammadov; Cemali Dinçer (J. Glob. Optim., 2013)

A hybrid wrapper-filter approach to detect the source(s) of out-of-control signals in multivariate manufacturing process. - Md. Shamsul Huda; Mali Abdollahian; Musa A. Mammadov; John Yearwood; Shafiq Ahmad; Ibrahim A. Sultan (Eur. J. Oper. Res., 2014)

A new loss function for robust classification. - Lei Zhao 002; Musa A. Mammadov; John Yearwood (Intell. Data Anal., 2014)

Attribute weighted Naive Bayes classifier using a local optimization. - Sona Taheri; John Yearwood; Musa A. Mammadov; Sattar Seifollahi (Neural Comput. Appl., 2014)

Turnpike Theorem for an Infinite Horizon Optimal Control Problem with Time Delay. - Musa A. Mammadov (SIAM J. Control. Optim., 2014)

Predicting and controlling the dynamics of infectious diseases. - Robin J. Evans 001; Musa Mammadov (CDC, 2015)

Structure learning of Bayesian Networks using global optimization with applications in data classification. - Sona Taheri; Musa A. Mammadov (Optim. Lett., 2015)

Detection of Outlier Behaviour Amongst Health/Medical Providers Servicing TAC Clients. - Musa Mammadov; Rob Muspratt; Julien Ugon (AusDM, 2017)

Target Learning: A Novel Framework to Mine Significant Dependencies for Unlabeled Data. - Limin Wang 007; Shenglei Chen; Musa Mammadov (PAKDD (1), 2018)

Discriminatory Target Learning: Mining Significant Dependence Relationships from Labeled and Unlabeled Data. - Zhiyi Duan; Limin Wang 007; Musa Mammadov; Hua Lou; Ming-Hui Sun (Entropy, 2019)

Discriminative Structure Learning of Bayesian Network Classifiers from Training Dataset and Testing Instance. - Limin Wang 007; Yang Liu 170; Musa Mammadov; Minghui Sun; Sikai Qi (Entropy, 2019)

Model Weighting for One-Dependence Estimators by Measuring the Independence Assumptions. - Hua Lou; Gaojie Wang; Limin Wang 007; Musa Mammadov (IEEE Access, 2020)

Learning semi-lazy Bayesian network classifier under the c.i.i.d assumption. - Yang Liu 170; Limin Wang 007; Musa Mammadov (Knowl. Based Syst., 2020)

Averaged tree-augmented one-dependence estimators. - He Kong; Xiaohu Shi; Limin Wang 007; Yang Liu 170; Musa Mammadov; Gaojie Wang (Appl. Intell., 2021)

Alleviating the independence assumptions of averaged one-dependence estimators by model weighting. - Limin Wang 007; Peng Chen; Musa Mammadov; Yang Liu 170; Si-Yuan Wu (Intell. Data Anal., 2021)

Hierarchical Independence Thresholding for learning Bayesian network classifiers. - Yang Liu 170; Limin Wang 007; Musa Mammadov; Shenglei Chen; Gaojie Wang; Sikai Qi; Minghui Sun (Knowl. Based Syst., 2021)

Decomposition of Service Level Encoding for Anomaly Detection. - Rob Muspratt; Musa Mammadov (AusDM, 2022)

Semi-supervised weighting for averaged one-dependence estimators. - Limin Wang 007; Shuai Zhang; Musa Mammadov; Kuo Li; Xinhao Zhang 001; Siyuan Wu 002 (Appl. Intell., 2022)

Anomaly Detection with Sub-Extreme Values: Health Provider Billing. - Rob Muspratt; Musa Mammadov (Data Sci. Eng., 2024)