Asst. Prof. MUSA MƏMMƏDOV

Nəşr Şəbəkəsi

Məqalələr 61

1. A Fusion of Deep Learning and Time Series Regression for Flood Forecasting: An Application to the Ratnapura Area Based on the Kalu River Basin in Sri Lanka

Saubhagya S., Tilakaratne C., Lakraj P., MƏMMƏDOV M.

Forecasting , vol.7, no.2, 2025 (ESCI, Scopus)

2. Granger Causality-Based Forecasting Model for Rainfall at Ratnapura Area, Sri Lanka: A Deep Learning Approach

Saubhagya S., Tilakaratne C., Lakraj P., MƏMMƏDOV M.

Forecasting , vol.6, no.4, pp.1124-1151, 2024 (ESCI, Scopus)

3. Anomaly Detection with Sub-Extreme Values: Health Provider Billing

Muspratt R., MƏMMƏDOV M.

Data Science and Engineering , vol.9, no.1, pp.62-72, 2024 (ESCI, Scopus)

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

Saubhagya S., Tilakaratne C., Lakraj P., MƏMMƏDOV M.

Applied Sciences (Switzerland) , vol.14, no.3, 2024 (SCI-Expanded, Scopus)

5. Invariant ideals and their applications to the turnpike theory

MƏMMƏDOV M., Szuca P.

Canadian Mathematical Bulletin , vol.66, no.3, pp.959-975, 2023 (SCI-Expanded, Scopus)

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

Saubhagya S., Tilakaratne C., MƏMMƏDOV M., Lakraj P.

Engineering Proceedings , vol.39, no.1, 2023 (Scopus)

7. Semi-supervised weighting for averaged one-dependence estimators

Wang L., Zhang S., MƏMMƏDOV M., Li K., Zhang X., Wu S.

Applied Intelligence , vol.52, no.4, pp.4057-4073, 2022 (SCI-Expanded, Scopus)

8. Averaged tree-augmented one-dependence estimators

Kong H., Shi X., Wang L., Liu Y., MƏMMƏDOV M., Wang G.

Applied Intelligence , vol.51, no.7, pp.4270-4286, 2021 (SCI-Expanded, Scopus)

9. Hierarchical Independence Thresholding for learning Bayesian network classifiers

Liu Y., Wang L., MƏMMƏDOV M., Chen S., Wang G., Qi S., et al.

Knowledge-Based Systems , vol.212, 2021 (SCI-Expanded, Scopus)

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

Liu Y., Wang L., MƏMMƏDOV M.

Knowledge-Based Systems , vol.208, 2020 (SCI-Expanded, Scopus)

11. Model Weighting for One-Dependence Estimators by Measuring the Independence Assumptions

Lou H., Wang G., Wang L., MƏMMƏDOV M.

IEEE Access , vol.8, pp.150465-150477, 2020 (SCI-Expanded, Scopus)

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

Chandrasekara V., Tilakaratne C., MƏMMƏDOV M.

Applied Sciences (Switzerland) , vol.9, no.24, 2019 (SCI-Expanded, Scopus)

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

Wang L., Liu Y., MƏMMƏDOV M., Sun M., Qi S.

Entropy , vol.21, no.5, 2019 (SCI-Expanded, Scopus)

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

Duan Z., Wang L., MƏMMƏDOV M., Lou H., Sun M.

Entropy , vol.21, no.5, 2019 (SCI-Expanded, Scopus)

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

Lou H., Wang L., Duan D., Yang C., MƏMMƏDOV M.

PLoS ONE , vol.13, no.7, 2018 (SCI-Expanded, Scopus)

16. Optimality conditions via weak subdifferentials in reflexive Banach spaces

Hassani S., MƏMMƏDOV M., Jamshidi M.

Turkish Journal of Mathematics , vol.41, no.1, pp.1-8, 2017 (SCI-Expanded, Scopus, TRDizin)

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

Kasimbeyli N., Kasımbeyli R., MƏMMƏDOV M.

Optimization , vol.65, no.5, pp.937-945, 2016 (SCI-Expanded, Scopus)

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

Taheri S., MƏMMƏDOV M.

Optimization Letters , vol.9, no.5, pp.931-948, 2015 (SCI-Expanded, Scopus)

19. Turnpike theorem for terminal functionals in infinite horizon optimal control problems

MƏMMƏDOV M., Evans R. J.

Journal of Mathematical Analysis and Applications , vol.428, no.2, pp.1147-1160, 2015 (SCI-Expanded, Scopus)

20. Globally convergent algorithms for solving unconstrained optimization problems

Taheri S., MƏMMƏDOV M., Seifollahi S.

Optimization , vol.64, no.2, pp.249-263, 2015 (SCI-Expanded, Scopus)

21. Dynamics of Ebola epidemics in West Africa 2014

Evans R. J., MƏMMƏDOV M.

F1000Research , vol.3, 2015 (Scopus)

22. A new reliability analysis method based on the conjugate gradient direction

Ezzati G., MƏMMƏDOV M., Kulkarni S.

Structural and Multidisciplinary Optimization , vol.51, no.1, pp.89-98, 2015 (SCI-Expanded, Scopus)

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

Huda S., Abdollahian M., MƏMMƏDOV M., Yearwood J., Ahmed S., Sultan I.

European Journal of Operational Research , vol.237, no.3, pp.857-870, 2014 (SCI-Expanded, Scopus)

24. Attribute weighted Naive Bayes classifier using a local optimization

Taheri S., Yearwood J., MƏMMƏDOV M., Seifollahi S.

Neural Computing and Applications , vol.24, no.5, pp.995-1002, 2014 (SCI-Expanded, Scopus)

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

MƏMMƏDOV M.

SIAM Journal on Control and Optimization , vol.52, no.1, pp.420-438, 2014 (SCI-Expanded, Scopus)

26. Sigma supporting cone and optimality conditions in non-convex problems

Hassani S., MƏMMƏDOV M.

Far East Journal of Mathematical Sciences , vol.91, no.2, pp.169-190, 2014 (Scopus)

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

Tilakaratne C., Morris S., MƏMMƏDOV M., Hurst C.

ANZIAM Journal , vol.48, 2014 (SCI-Expanded, Scopus)

28. A new loss function for robust classification

Zhao L., MƏMMƏDOV M., Yearwood J.

Intelligent Data Analysis , vol.18, no.4, pp.697-715, 2014 (SCI-Expanded, Scopus)

29. Preface: Special issue of JOGO MEC EurOPT 2010-Izmir

Kasımbeyli R., MƏMMƏDOV M., Dinçer C.

Journal of Global Optimization , vol.56, no.2, pp.217-218, 2013 (SCI-Expanded, Scopus)

30. Global stabilization in nonlinear discrete systems with time-delay

Ivanov A. F., MƏMMƏDOV M., Trofimchuk S. I.

Journal of Global Optimization , vol.56, no.2, pp.251-263, 2013 (SCI-Expanded, Scopus)

31. A new auxiliary function method for general constrained global optimization

Wu Z., Bai F., Yang Y., MƏMMƏDOV M.

Optimization , vol.62, no.2, pp.193-210, 2013 (SCI-Expanded, Scopus)

32. Learning the naive bayes classifier with optimization models

Taheri S., MƏMMƏDOV M.

International Journal of Applied Mathematics and Computer Science , vol.23, no.4, pp.787-795, 2013 (SCI-Expanded, Scopus)

33. A new method for solving linear ill-posed problems

Zhang J., MƏMMƏDOV M.

Applied Mathematics and Computation , vol.218, no.20, pp.10180-10187, 2012 (SCI-Expanded, Scopus)

34. The effect of regularization on drug-reaction relationships

MƏMMƏDOV M., Zhao L., Zhang J.

Optimization , vol.61, no.4, pp.405-422, 2012 (SCI-Expanded, Scopus)

35. Profiling phishing activity based on hyperlinks extracted from phishing emails

Yearwood J., MƏMMƏDOV M., Webb D.

Social Network Analysis and Mining , vol.2, no.1, pp.5-16, 2012 (Scopus)

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

Kuznetsov A., MƏMMƏDOV M., Sultan I., Hajilarov E.

Archive of Applied Mechanics , vol.81, no.10, pp.1427-1437, 2011 (SCI-Expanded, Scopus)

37. Global asymptotic stability in a class of nonlinear differential delay equations

Ivanov A. F., MƏMMƏDOV M.

Discrete and Continuous Dynamical Systems- Series A , no.SUPPL., pp.727-736, 2011 (SCI-Expanded, Scopus)

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

Kuznetsov A., MƏMMƏDOV M., Sultan I., Hajilarov E.

Journal of Sound and Vibration , vol.330, no.12, pp.2937-2946, 2011 (SCI-Expanded, Scopus)

39. Optimality conditions in nonconvex optimization via weak subdifferentials

Kasımbeyli R., MƏMMƏDOV M.

Nonlinear Analysis, Theory, Methods and Applications , vol.74, no.7, pp.2534-2547, 2011 (SCI-Expanded, Scopus)

40. Global Optimality Conditions and Optimization Methods for Quadratic Knapsack Problems

Wu Z., Yang Y., Bai F., MƏMMƏDOV M.

Journal of Optimization Theory and Applications , vol.151, no.2, pp.241-259, 2011 (SCI-Expanded, Scopus)

41. Improving Naive Bayes classifier using conditional probabilities

Taheri S., MƏMMƏDOV M., Bagirov A. M.

Conferences in Research and Practice in Information Technology Series , vol.121, pp.63-68, 2010 (Scopus)

42. An inexact modified subgradient algorithm for nonconvex optimization

Burachik R. S., Kaya C. Y., MƏMMƏDOV M.

Computational Optimization and Applications , vol.45, no.1, pp.1-24, 2010 (SCI-Expanded, Scopus)

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

Kasımbeyli R., MƏMMƏDOV M.

SIAM Journal on Optimization , vol.20, no.2, pp.841-855, 2009 (SCI-Expanded, Scopus)

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

Tilakaratne C., MƏMMƏDOV M., Morris S.

Journal of Applied Mathematics and Decision Sciences , vol.2009, 2009 (Scopus)

45. Solving a system of nonlinear integral equations by an RBF network

Golbabai A., MƏMMƏDOV M., Seifollahi S.

Computers and Mathematics with Applications , vol.57, no.10, pp.1651-1658, 2009 (SCI-Expanded, Scopus)

46. A new filled function method for nonlinear equations

Lin Y., Yang Y., MƏMMƏDOV M.

Applied Mathematics and Computation , vol.210, no.2, pp.411-421, 2009 (SCI-Expanded, Scopus)

47. A formula for multiple classifiers in data mining based on Brandt semigroups

Kelarev A., Yearwood J., MƏMMƏDOV M.

Semigroup Forum , vol.78, no.2, pp.293-309, 2009 (SCI-Expanded, Scopus)

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

Dazeley R., Kelarev A., Yearwood J., MƏMMƏDOV M.

Asian-European Journal of Mathematics , vol.2, no.1, pp.41-56, 2009 (Scopus)

49. The core of a sequence of fuzzy numbers

AYTAR S., PEHLİVAN S., MƏMMƏDOV M.

Fuzzy Sets and Systems , vol.159, no.24, pp.3369-3379, 2008 (SCI-Expanded, Scopus)

50. To be fair or efficient or a bit of both

Zukerman M., MƏMMƏDOV M., Tan L., Ouveysi I., Andrew L. L.

Computers and Operations Research , vol.35, no.12, pp.3787-3806, 2008 (SCI-Expanded, Scopus)

51. A filled function method for constrained nonlinear equations

Bai F., MƏMMƏDOV M., Wu Z., Yang Y.

Pacific Journal of Optimization , vol.4, no.1, pp.9-18, 2008 (Scopus)

52. Effectiveness of using quantified intermarket influence for predicting trading signals of stock markets

Tilakaratne C. D., MƏMMƏDOV M., Morris S. A.

Conferences in Research and Practice in Information Technology Series , vol.70, pp.171-179, 2007 (Scopus)

53. A filled function method for nonlinear equations

Wu Z., MƏMMƏDOV M., Bai F., Yang Y.

Applied Mathematics and Computation , vol.189, no.2, pp.1196-1204, 2007 (SCI-Expanded, Scopus)

54. The study of drug-reaction relationships using global optimization techniques

MƏMMƏDOV M., Rubinov A., Yearwood J.

Optimization Methods and Software , vol.22, no.1, pp.99-126, 2007 (SCI-Expanded, Scopus)

55. Facility location via continuous optimization with discontinuous objective functions

Ugon J., Kouhbor S., MƏMMƏDOV M., Rubinov A., Kruger A.

ANZIAM Journal , vol.48, no.3, pp.315-325, 2007 (SCI-Expanded, Scopus)

56. Statistical limit inferior and limit superior for sequences of fuzzy numbers

AYTAR S., MƏMMƏDOV M., PEHLİVAN S.

Fuzzy Sets and Systems , vol.157, no.7, pp.976-985, 2006 (SCI-Expanded, Scopus)

57. Statistical cluster points of sequences in finite dimensional spaces

PEHLİVAN S., Güngan A., MƏMMƏDOV M.

Czechoslovak Mathematical Journal , vol.54, no.1, pp.95-102, 2004 (SCI-Expanded, Scopus)

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

MƏMMƏDOV M., Saunders G., Yearwood J.

International Transactions in Operational Research , vol.11, no.2, pp.169-179, 2004 (Scopus)

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

MƏMMƏDOV M.

Abstract and Applied Analysis , vol.2003, no.11, pp.631-650, 2003 (Scopus)

60. Statistical cluster points and Turnpike theorem in nonconvex problems

MƏMMƏDOV M., PEHLİVAN S.

Journal of Mathematical Analysis and Applications , vol.256, no.2, pp.686-693, 2001 (SCI-Expanded, Scopus)

61. Statistical cluster points and turnpike

PEHLİVAN S., MƏMMƏDOV M.

Optimization , vol.48, no.1, pp.91-106, 2000 (Scopus)

Referensiya edilmiş Elmi İclaslarda dərc olunmuş məqalələr 19

1. Decomposition of Service Level Encoding for Anomaly Detection

Muspratt R., MƏMMƏDOV M.

20th Australasian Data Mining Conference, AusDM 2022, Western Sydney, Australia, 12 - 15 December 2022, vol.1741 CCIS, pp.192-204, (Full Text)

2. Target learning: A novel framework to mine significant dependencies for unlabeled data

Wang L., Chen S., MƏMMƏDOV M.

22nd Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2018, Melbourne, Australia, 3 - 06 June 2018, vol.10937 LNAI, pp.106-117, (Full Text)

3. Detection of outlier behaviour amongst health/medical providers servicing TAC clients

MƏMMƏDOV M., Muspratt R., Ugon J.

15th Australasian Conference on Data Mining, AusDM 2017, Melbourne, Australia, 19 - 20 August 2017, vol.845, pp.161-172, (Full Text)

4. Predicting and controlling the dynamics of infectious diseases

Evans R. J., MƏMMƏDOV M.

54th IEEE Conference on Decision and Control, CDC 2015, Osaka, Japan, 15 - 18 December 2015, pp.5378-5383, (Full Text) Davamlı İnkişaf

5. From convex to nonconvex: A loss function analysis for binary classification

Zhao L., MƏMMƏDOV M., Yearwood J.

10th IEEE International Conference on Data Mining Workshops, ICDMW 2010, Sydney, Australia, 14 - 17 December 2010, pp.1281-1288, (Full Text)

6. A new supervised term ranking method for text categorization

MƏMMƏDOV M., Yearwood J., Zhao L.

23rd Australasian Joint Conference on Artificial Intelligence, AI 2010, Adelaide, Australia, 7 - 10 December 2010, vol.6464 LNAI, pp.102-111, (Full Text)

7. Profiling phishing emails based on hyperlink information

Yearwood J., MƏMMƏDOV M., Banerjee A.

2010 International Conference on Advances in Social Network Analysis and Mining, ASONAM 2010, Odense, Denmark, 9 - 11 August 2010, pp.120-127, (Full Text)

8. Vibration analysis: Optimization of parameters of the two mass model based on Kelvin elements

Kuznetsov A., MƏMMƏDOV M., Sultan I., Hajilarov E.

2010 8th IEEE International Conference on Control and Automation, ICCA 2010, Xiamen, China, 9 - 11 June 2010, pp.1326-1332, (Full Text)

9. Investment decision model via an improved BP neural network

Shen J., Zhang C., Lian C., Hu H., MƏMMƏDOV M.

2010 IEEE International Conference on Information and Automation, ICIA 2010, Harbin, China, 20 - 23 June 2010, pp.2092-2096, (Full Text)

10. Optimization of parameters of the Kelvin element in vibration analysis

Kuznetsov A., MƏMMƏDOV M., Hajilarov E.

2009 IEEE International Conference on Industrial Technology, ICIT 2009, Churchill, VIC, Australia, 10 - 13 February 2009, (Full Text)

11. Predicting trading signals of stock market indices using neural networks

Tilakaratne C. D., MƏMMƏDOV M., Morris S. A.

21st Australasian Joint Conference on Artificial Intelligence, AI 2008, Auckland, New Zealand, 1 - 05 December 2008, vol.5360 LNAI, pp.522-531, (Full Text)

12. An auxiliary function method for constrained systems of nonlinear equations

Wu Z., Bai F., MƏMMƏDOV M.

20th International Conference EURO Mini Conference: Continuous Optimization and Knowledge-Based Technologies, EurOPT 2008, Neringa, Lithuania, 20 - 23 May 2008, pp.259-265, (Full Text)

13. Using links to aid web classification

Wei X., MƏMMƏDOV M., Yearwood J.

6th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2007; 1st IEEE/ACIS International Workshop on e-Activity, IWEA 2007, Melbourne, Australia, 11 - 13 July 2007, pp.981-986, (Full Text)

14. Quantification of intermarket influence based on the global optimization and its application for stock market prediction

Tilakaratne C., MƏMMƏDOV M., Hurst C.

1st International Workshop on Integrating AI and Data Mining, AIDM 2006, Hobart, Australia, 4 - 05 December 2006, pp.42-49, (Full Text)

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