Dr Musa Mammadov

A Novel Hybrid Spatiotemporal Missing Value Imputation Approach for Rainfall Data: An Application to the Ratnapura Area, Sri Lanka

Shanthi Saubhagya, Chandima Tilakaratne, Pemantha Lakraj, Musa Mammadov

(2024), Vol. 14, pp. 1-16, Applied Sciences (Switzerland), Basel, Switzerland, C1

Invariant ideals and its applications to the turnpike theory

M Mammadov, P Szuca

(2023), Vol. 66, pp. 959-975, Canadian Mathematical Bulletin, C1

An Application of Ensemble Spatiotemporal Data Mining Techniques for Rainfall Forecasting †

S Saubhagya, C Tilakaratne, M Mammadov, P Lakraj

(2023), Vol. 39, pp. 1-10, Engineering Proceedings, Basel, Switzerland, C1

Anomaly Detection with Sub-Extreme Values: Health Provider Billing

Rob Muspratt, Musa Mammadov

(2023), pp. 1-11, Data Science and Engineering, London, Eng., C1-1

Semi-supervised weighting for averaged one-dependence estimators

L Wang, S Zhang, M Mammadov, K Li, X Zhang, S Wu

(2022), Vol. 52, pp. 4057-4073, Applied Intelligence, C1

Hierarchical Independence Thresholding for learning Bayesian network classifiers

Y Liu, L Wang, M Mammadov, S Chen, G Wang, S Qi, M Sun

(2021), Vol. 212, Knowledge-Based Systems, C1

Averaged tree-augmented one-dependence estimators

H Kong, X Shi, L Wang, Y Liu, M Mammadov, G Wang

(2021), Vol. 51, pp. 4270-4286, Applied Intelligence, C1

Alleviating the independence assumptions of averaged one-dependence estimators by model weighting

Li-Min Wang, Peng Chen, Musa Mammadov, Yang Liu, Si-Yuan Wu

(2021), Vol. 25, pp. 1431-1451, Intelligent Data Analysis, Amsterdam, The Netherlands, C1

Model weighting for one-dependence estimators by measuring the independence assumptions

Hua Lou, Gaojie Wang, Limin Wang, Musa Mammadov

(2020), Vol. 8, pp. 150465-150477, IEEE access, Piscataway, N.J., C1

Learning semi-lazy Bayesian network classifier under the c.i.i.d assumption

Y Liu, L Wang, M Mammadov

(2020), Vol. 208, Knowledge-Based Systems, C1

Discriminatory target learning: Mining significant dependence relationships from labeled and unlabeled data

Z Duan, L Wang, M Mammadov, H Lou, M Sun

(2019), Vol. 21, Entropy, Switzerland, C1

Discriminative structure learning of Bayesian network classifiers from training dataset and testing instance

L Wang, Y Liu, M Mammadov, M Sun, S Qi

(2019), Vol. 21, Entropy, Switzerland, C1

An improved probabilistic neural network model for directional prediction of a stock market index

V Chandrasekara, C Tilakaratne, M Mammadov

(2019), Vol. 9, Applied Sciences (Switzerland), C1

RDE: A novel approach to improve the classification performance and expressivity of KDB

H Lou, L Wang, D Duan, C Yang, M Mammadov

(2018), Vol. 13, PLoS ONE, United States, C1-1

Optimality conditions via weak subdifferentials in reflexive Banach spaces

S Hassani, M Mammadov, M Jamshidi

(2017), Vol. 41, pp. 1-8, Turkish journal of mathematics, Ankara, Turkey, C1-1

A generalization of a theorem of Arrow, Barankin and Blackwell to a nonconvex case

N Kasimbeyli, R Kasimbeyli, M Mammadov

(2016), Vol. 65, pp. 937-945, Optimization, C1-1

Dynamics of Ebola epidemics in West Africa 2014

Robin Evans, Musa Mammadov

(2015), Vol. 3, pp. 1-12, F1000research, London, Eng., C1-1

Globally convergent algorithms for solving unconstrained optimization problems

S Taheri, M Mammadov, S Seifollahi

(2015), Vol. 64, pp. 249-263, Optimization, Abingdon, Eng., C1-1

Structure learning of Bayesian Networks using global optimization with applications in data classification

S Taheri, M Mammadov

(2015), Vol. 9, pp. 931-948, Optimization letters, Berlin, Germany, C1-1

Turnpike theorem for terminal functionals in infinite horizon optimal control problems

M Mammadov, R Evans

(2015), Vol. 428, pp. 1147-1160, Journal of mathematical analysis and applications, Amsterdam, The Netherlands, C1-1

A new reliability analysis method based on the conjugate gradient direction

G Ezzati, M Mammadov, S Kulkarni

(2015), Vol. 51, pp. 89-98, Structural and multidisciplinary optimization, Berlin, Germany, C1-1

A hybrid wrapper-filter approach to detect the source(s) of out-of-control signals in multivariate manufacturing process

S Huda, M Abdollahian, M Mammadov, J Yearwood, S Ahmed, I Sultan

(2014), Vol. 237, pp. 857-870, European journal of operational research, Amsterdam, The Netherlands, C1-1

A new loss function for robust classification

L Zhao, M Mammadov, J Yearwood

(2014), Vol. 18, pp. 697-715, Intelligent data analysis, [Amsterdam, The Netherlands], C1-1

Attribute weighted Naive Bayes classifier using a local optimization

S Taheri, J Yearwood, M Mammadov, S Seifollahi

(2014), Vol. 24, pp. 995-1002, Neural computing and applications, Berlin, Germany, C1-1

Sigma supporting cone and optimality conditions in non-convex problems

S Hassani, M Mammadov

(2014), Vol. 91, pp. 169-190, Far East journal of mathematical sciences, Allahabad, India, C1-1

Turnpike theorem for an infinite horizon optimal control problem with time delay

M Mammadov

(2014), Vol. 52, pp. 420-438, SIAM journal on control and optimization, Philadelphia, Pa., C1-1

A new auxiliary function method for general constrained global optimization

Z Wu, F Bai, Y Yang, M Mammadov

(2013), Vol. 62, pp. 193-210, Optimization, Abingdon, Eng., C1-1

Learning the naive Bayes classifier with optimization models

S Taheri, M Mammadov

(2013), Vol. 23, pp. 787-795, International journal of applied mathematics and computer science, Zielona Góra, Poland, C1-1

Profiling phishing activity based on hyperlinks extracted from phishing emails

J Yearwood, M Mammadov, D Webb

(2012), Vol. 2, pp. 5-16, Social network analysis and mining, Berlin, Germany, C1-1

A new method for solving linear ill-posed problems

J Zhang, M Mammadov

(2012), Vol. 218, pp. 10180-10187, Applied mathematics and computation, Amsterdam, The Netherlands, C1-1

The effect of regularization on drug-reaction relationships

M Mammadov, L Zhao, J Zhang

(2012), Vol. 61, pp. 405-422, Optimization, Abingdon, Eng., C1-1

Global asymptotic stability in a class of nonlinear differential delay equations

A Ivanov, M Mammadov

(2011), pp. 727-736, Discrete and continuous dynamical systems- series a, Springfield, Mo., C1-1

Optimality conditions in nonconvex optimization via weak subdifferentials

R Kasimbeyli, M Mammadov

(2011), Vol. 74, pp. 2534-2547, Nonlinear analysis, theory, methods and applications, Amsterdam, The Netherlands, C1-1

Optimization of improved suspension system with inerter device of the quarter-car model in vibration analysis

A Kuznetsov, M Mammadov, I Sultan, E Hajilarov

(2011), Vol. 81, pp. 1427-1437, Archive of applied mechanics, Cham, Switzerland, C1-1

Optimization of a quarter-car suspension model coupled with the driver biomechanical effects

A Kuznetsov, M Mammadov, I Sultan, E Hajilarov

(2011), Vol. 330, pp. 2937-2946, Journal of sound and vibration, Amsterdam, The Netherlands, C1-1

Global optimality conditions and optimization methods for quadratic knapsack problems

Z Wu, Y Yang, F Bai, M Mammadov

(2011), Vol. 151, pp. 241-259, Journal of optimization theory and applications, Cham, Switzerland, C1-1

An inexact modified subgradient algorithm for nonconvex optimization

R Burachik, C Kaya, M Mammadov

(2010), Vol. 45, pp. 1-24, Computational optimization and applications, Cham, Switzerland, C1-1

Optimization of multiple classifiers in data mining based on string rewriting systems

R Dazeley, A Kelarev, J Yearwood, M Mammadov

(2009), Vol. 2, pp. 41-56, Asian-European journal of mathematics, C1-1

Solving a system of nonlinear integral equations by an RBF network

A Golbabai, M Mammadov, S Seifollahi

(2009), Vol. 57, pp. 1651-1658, Computers and Mathematics with Applications, Amsterdam, The Netherlands, C1-1

A new filled function method for nonlinear equations

Y Lin, Y Yang, M Mammadov

(2009), Vol. 210, pp. 411-421, Applied Mathematics and Computation, Amsterdam, The Netherlands, C1-1

Modified neural network algorithms for predicting trading signals of stock market indices

C Tilakaratne, M Mammadov, S Morris

(2009), Vol. 2009, pp. 1-22, Journal of Applied Mathematics and Decision Sciences, London, Eng., C1-1

On weak subdifferentials, directional derivatives, and radial epiderivatives for nonconvex functions

R Kasimbeyli, M Mammadov

(2009), Vol. 20, pp. 841-855, SIAM Journal on Optimization, Philadelphia, Pa., C1-1

The core of a sequence of fuzzy numbers

S Aytar, S Pehlivan, M Mammadov

(2008), Vol. 159, pp. 3369-3379, Fuzzy Sets and Systems, Amsterdam, The Netherlands, C1-1

To be fair or efficient or a bit of both

M Zukerman, M Mammadov, L Tan, I Ouveysi, L Andrew

(2008), Vol. 35, pp. 3787-3806, Computers and Operations Research, Amsterdam, The Netherlands, C1-1

Facility location via continuous optimization with discontinuous objective functions

J Ugon, S Kouhbor, M Mammadov, A Rubinov, A Kruger

(2007), Vol. 48, pp. 315-325, ANZIAM journal, Cambridge, Eng., C1-1

Quantification of intermarket influence on the Australian All Ordinary Index based on optimization techniques

C Tilakaratne, S Morris, M Mammadov, C Hurst

(2007), Vol. 48, pp. C104-C118, ANZIAM journal, Adelaide, S. Aust., C1-1

A filled function method for nonlinear equations

Z Wu, M Mammadov, F Bai, Y Yang

(2007), Vol. 189, pp. 1196-1204, Applied mathematics and computation, Amsterdam, The Netherlands, C1-1

Statistical limit inferior and limit superior for sequences of fuzzy numbers

S Aytar, M Mammadov, S Pehlivan

(2006), Vol. 157, pp. 976-985, Fuzzy sets and systems, Amsterdam, The Netherlands, C1-1

A fuzzy derivative approach to classification of outcomes from the ADRAC database

M Mamedov, G Saunders, J Yearwood

(2004), Vol. 11, pp. 169-179, International transactions in operational research, Chichester, Eng., C1-1

Statistical cluster points of sequences in finite dimensional spaces

S Pehlivan, A Güngan, M Mamedov

(2004), Vol. 54, pp. 95-102, Czechoslovak mathematical journal, Cham, Switzerland, C1-1

A turnpike theorem for continuous-time control systems when the optimal stationary point is not unique

M Mamedov

(2003), Vol. 2003, pp. 631-650, Abstract and applied analysis, Cairo, Egypt, C1-1

Statistical cluster points and turnpike theorem in nonconvex problems

M Mamedov, S Pehlivan

(2001), Vol. 256, pp. 686-693, Journal of mathematical analysis and applications, Amsterdam, The Netherlands, C1-1

Statistical cluster points and turnpike

S Pehlivan, M Mamedov

(2000), Vol. 48, pp. 93-106, Optimization, Abingdon, Eng., C1-1