Musa A. Mammadov

According to our database1, Musa A. Mammadov authored at least 44 papers between 2001 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

On csauthors.net:

Bibliography

2021
Hierarchical Independence Thresholding for learning Bayesian network classifiers.
Knowl. Based Syst., 2021

2020
Learning semi-lazy Bayesian network classifier under the c.i.i.d assumption.
Knowl. Based Syst., 2020

Model Weighting for One-Dependence Estimators by Measuring the Independence Assumptions.
IEEE Access, 2020

2019
Discriminative Structure Learning of Bayesian Network Classifiers from Training Dataset and Testing Instance.
Entropy, 2019

Discriminatory Target Learning: Mining Significant Dependence Relationships from Labeled and Unlabeled Data.
Entropy, 2019

2018
Target Learning: A Novel Framework to Mine Significant Dependencies for Unlabeled Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

2017
Detection of Outlier Behaviour Amongst Health/Medical Providers Servicing TAC Clients.
Proceedings of the Data Mining, 2017

2015
Structure learning of Bayesian Networks using global optimization with applications in data classification.
Optim. Lett., 2015

Predicting and controlling the dynamics of infectious diseases.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014
Turnpike Theorem for an Infinite Horizon Optimal Control Problem with Time Delay.
SIAM J. Control. Optim., 2014

Attribute weighted Naive Bayes classifier using a local optimization.
Neural Comput. Appl., 2014

A new loss function for robust classification.
Intell. Data Anal., 2014

A hybrid wrapper-filter approach to detect the source(s) of out-of-control signals in multivariate manufacturing process.
Eur. J. Oper. Res., 2014

2013
Preface: Special issue of JOGO MEC EurOPT 2010-Izmir.
J. Glob. Optim., 2013

Global stabilization in nonlinear discrete systems with time-delay.
J. Glob. Optim., 2013

Learning the naive Bayes classifier with optimization models.
Int. J. Appl. Math. Comput. Sci., 2013

2012
Profiling phishing activity based on hyperlinks extracted from phishing emails.
Soc. Netw. Anal. Min., 2012

A new method for solving linear ill-posed problems.
Appl. Math. Comput., 2012

2011
Global Optimality Conditions and Optimization Methods for Quadratic Knapsack Problems.
J. Optim. Theory Appl., 2011

Improving Naive Bayes Classifier Using Conditional Probabilities.
Proceedings of the Ninth Australasian Data Mining Conference, AusDM 2011, Ballarat, 2011

Drug-drug interactions: A Data Mining Approach.
Proceedings of the Ninth Australasian Data Mining Conference, AusDM 2011, Ballarat, 2011

2010
An inexact modified subgradient algorithm for nonconvex optimization.
Comput. Optim. Appl., 2010

From Convex to Nonconvex: A Loss Function Analysis for Binary Classification.
Proceedings of the ICDMW 2010, 2010

Vibration analysis: Optimization of parameters of the two mass model based on Kelvin elements.
Proceedings of the 8th IEEE International Conference on Control and Automation, 2010

A New Supervised Term Ranking Method for Text Categorization.
Proceedings of the AI 2010: Advances in Artificial Intelligence, 2010

Profiling Phishing Emails Based on Hyperlink Information.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2010

2009
Turnpike Theory: Stability of Optimal Trajectories.
Proceedings of the Encyclopedia of Optimization, Second Edition, 2009

Statistical Convergence and Turnpike Theory.
Proceedings of the Encyclopedia of Optimization, Second Edition, 2009

On Weak Subdifferentials, Directional Derivatives, and Radial Epiderivatives for Nonconvex Functions.
SIAM J. Optim., 2009

Modified Neural Network Algorithms for Predicting Trading Signals of Stock Market Indices.
Adv. Decis. Sci., 2009

Solving a system of nonlinear integral equations by an RBF network.
Comput. Math. Appl., 2009

A new filled function method for nonlinear equations.
Appl. Math. Comput., 2009

2008
The core of a sequence of fuzzy numbers.
Fuzzy Sets Syst., 2008

To be fair or efficient or a bit of both.
Comput. Oper. Res., 2008

Predicting Trading Signals of Stock Market Indices Using Neural Networks.
Proceedings of the AI 2008: Advances in Artificial Intelligence, 2008

2007
The study of drug-reaction relationships using global optimization techniques.
Optim. Methods Softw., 2007

A filled function method for nonlinear equations.
Appl. Math. Comput., 2007

Effectiveness of Using Quantified Intermarket Influence for Predicting Trading Signals of Stock Markets.
Proceedings of the Data Mining and Analytics 2007, 2007

Using Links to Aid Web Classification.
Proceedings of the 6th Annual IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007), 2007

2006
Statistical limit inferior and limit superior for sequences of fuzzy numbers.
Fuzzy Sets Syst., 2006

Coverage in WLAN with Minimum Number of Access Points.
Proceedings of the 63rd IEEE Vehicular Technology Conference, 2006

A Filled Function Method for Box-constrained System of Nonlinear Equations.
Proceedings of the IEEE Asia Pacific Conference on Circuits and Systems 2006, 2006

2001
An Induction Algorithm with Selection Significance Based on a Fuzzy Derivative.
Proceedings of the Hybrid Information Systems, 2001

Fuzzy Derivative & Its Application to Data Classification.
Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001


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