Publications

A. International Publications

[2023]

15. Patryk Grelewicz, Pawel Nowak, Thanh Tung Khuat, Jacek Czeczot, Tomasz Klopot, Bogdan Gabrys. Practical Implementation of Computationally-efficient Machine Learning-based Control Performance Assessment System for a Class of Closed Loop Systems. Applied Soft Computing, vol , pp. 110690 (Indexed by SCIE Q1, IF = 8.7). View/Download from: https://doi.org/10.1016/j.asoc.2023.110690

14. Thanh Tung Khuat, Bogdan Gabrys (2023). hyperbox-brain: a python toolbox for hyperbox-based machine learning algorithms. SoftwareX, vol 23, pp. 101425 (Indexed by SCIE Q2, IF=3.4). View/Dowload from: https://doi.org/10.1016/j.softx.2023.101425

13. Thanh Tung Khuat, Bogdan Gabrys (2023). An online learning algorithm for a neuro-fuzzy classifier with mixed-attribute data. Applied Soft Computing, vol 137, pp. 110152 (Indexed by SCIE Q1, IF = 8.7). View/Download from: https://doi.org/10.1016/j.asoc.2023.110152

12. Patryk Grelewicz, Thanh Tung Khuat, Jacek Czeczot, Pawel Nowak, Tomasz Klopot, Bogdan Gabrys (2023). Application of Machine Learning to Performance Assessment for a class of PID-based Control Systems. IEEE Transactions on Systems, Man, and Cybernetics: Systems (In press) (Indexed by CORE A*, SCIE Q1, IF = 8.7). View/Download from: https://doi.org/10.1109/tsmc.2023.3244714 

11. Thanh Tung Khuat, Bogdan Gabrys (2023). Random hyperboxes. IEEE Transactions on Neural Networks and Learning Systems, vol 34(2), pp. 1008-1022 (Indexed by CORE A*, SCIE Q1, IF = 10.4). View/Download from: https://doi.org/10.1109/TNNLS.2021.3104896

[2021]

10.  Thanh Tung Khuat, Bogdan Gabrys (2021). An in-depth comparison of methods handling mixed-attribute data for general fuzzy min-max neural network. Neurocomputing, vol 464, pp. 175-202 (Indexed by SCIE Q1, IF = 6). View/Download from: https://doi.org/10.1016/j.neucom.2021.08.083

9. Thanh Tung Khuat, Bogdan Gabrys (2021). Accelerated learning algorithms of general fuzzy min-max neural network using a novel hyperbox selection rule. Information Sciences, vol 587, pp. 887-909 (Indexed by SCIE Q1, IF = 8.1). View/ Download from: https://doi.org/10.1016/j.ins.2020.08.046

8. Thanh Tung Khuat, Dymitr Ruta, Bogdan Gabrys (2021). Hyperbox based machine learning algorithms: A comprehensive survey. Soft Computing, vol 25, pp. 1325-1363 (Indexed by SCIE Q2, IF=4.1). View/Download from: https://doi.org/10.1007/s00500-020-05226-7

7. Thanh Tung Khuat, Fang Chen, and Bogdan Gabrys (2021). An Effective Multi-Resolution Hierarchical Granular Representation based Classifier using General Fuzzy Min-Max Neural Network. IEEE Transactions on Fuzzy Systems, vol 29(2), pp. 427-441 (Indexed by SCI Q1, IF = 11.9). Retrieved from: https://doi.org/10.1109/TFUZZ.2019.2956917

[2020]

6. Thanh Tung Khuat, Bogdan Gabrys (2020). A comparative study of general fuzzy min-max neural networks for pattern classification problems. Neurocomputing, vol. 386, pp. 110-125 (Indexed by SCIE Q1, IF = 6). Retrieved from: https://doi.org/10.1016/j.neucom.2019.12.090

[2019]

5. Thanh Tung Khuat, My Hanh Le (2019). Binary teaching-learning based optimization algorithm with a new update mechanism for sample subset optimization in software defect prediction. Soft Computing, vol 23(20), pp. 9919-9935, (Indexed by SCIE Q2, IF=4.1). Retrieved from: https://doi.org/10.1007/s00500-018-3546-6

[2018]

4. Thanh Tung Khuat, My Hanh Le (2018). A novel hybrid ABC-PSO algorithm for effort estimation of software projects using Agile methodologies. Journal of Intelligent Systems, De Gruyter Publisher, vol 27(3), pp. 489-506 (Indexed by ESCI, Scopus SJR-Q2, IF: 3.0). Retrieved from: https://doi.org/10.1515/jisys-2016-0294

[2017]

3. Thanh Tung Khuat, My Hanh Le (2017). A Genetic Algorithm with Multi-Parent Crossover using Quaternion Representation for Numerical Function Optimization. Applied Intelligence, vol 46(4), pp. 810-826 (Indexed by SCI Q1, IF = 5.3). Retrieved from http://dx.doi.org/10.1007/s10489-016-0867-y

2. Thanh Tung Khuat, My Hanh Le (2017). Applying Teaching-Learning to Artificial Bee Colony for Parameter Optimization of Software Effort Estimation Model. Journal of Engineering Science and Technology (JESTEC), vol 12(5), pp. 1178-1190 (Indexed by ESCI, Scopus SJR-Q3, IF: 0.6). Retrieved from: http://jestec.taylors.edu.my/Vol%2012%20issue%205%20May%202017/12_5_3.pdf

[2016]

1. Le Thi My Hanh, Nguyen Thanh Binh, Khuat Thanh Tung (2016). A Novel Fitness Function of Metaheuristic Algorithms for Test Data Generation for Simulink Models based on Mutation Analysis. The Journal of Systems and Software, vol 120, pp. 17-30, Elsevier Publisher. (Indexed by SCIE Q1, IF = 3.5). Retrieved from: http://www.sciencedirect.com/science/article/pii/S0164121216301017


[2021]

9. Thanh Tung Khuat, My Hanh Le (2021). Balanced Random Hyperboxes for Class Imbalanced Problems. IAENG International Journal of Computer Science, 48(2), 406-412 (Indexed by Scopus SJR-Q2). Retrieved from: http://www.iaeng.org/IJCS/issues_v48/issue_2/IJCS_48_2_20.pdf


[2020]

8. Thanh Tung Khuat, My Hanh Le (2020). Evaluation of Sampling-Based Ensembles of Classifiers on Imbalanced Data for Software Defect Prediction Problems. SN Computer Science, 1(2), Paper-108 (Indexed by Scopus). Retrieve from: https://doi.org/10.1007/s42979-020-0119-4

[2019]

7. Thanh Tung Khuat, My Hanh Le (2019). Ensemble learning for software fault prediction problem with imbalanced     data. International Journal of Electrical and Computer Engineering (IJECE), 9(4), 3241-3246 (Indexed by Scopus SJR-Q2). Retrieved from: ijece.iaescore.com/index.php/IJECE/article/view/15782/12912

[2017]

6. Le Thi My Hanh, Nguyen Thanh Binh, Khuat Thanh Tung (2017). Parallel Mutant Execution Techniques in Mutation Testing Process for Simulink Models. Journal of Telecommunications and Information Technology, 4(2017), 90-100 (Indexed by Scopus SJR-Q4). Retrieved from: http://www.nit.eu/czasopisma/JTIT/2017/4/90.pdf

5. Thanh Tung Khuat, My Hanh Le (2017). An Application of Artificial Neural Networks and Fuzzy Logic on the Stock Price Prediction Problem. International Journal of Informatics Visualization, 1(2), 40-49 (Indexed by Scopus SJR-Q4). Retrieve from: http://joiv.org/index.php/joiv/article/view/20

[2016]

4. Thanh Tung Khuat, My Hanh Le (2016). Optimizing Parameters of Software Effort Estimation Models using Directed Artificial Bee Colony Algorithm. Informatica, vol 40(4), pp. 427-436. (Indexed by Scopus SJR-Q3). Retrieved from: http://www.informatica.si/index.php/informatica/article/view/1043

3. Thanh Tung Khuat, Quang Chanh Le, Bich Loan Nguyen, My Hanh Le (2016). Forecasting Stock Price using Wavelet Neural Network optimized by Directed Artificial Bee Colony Algorithm. Journal of Telecommunications and Information Technology, 2(2016), 43-52. (Indexed by Scopus SJR-Q3). Retrieved from: http://www.itl.waw.pl/czasopisma/JTIT/2016/2/43.pdf

2. Thanh Tung Khuat and My Hanh Le (2016). A Novel Technique of Optimization for the COCOMO II Model Parameters using Teaching-Learning based Optimization Algorithm. Journal of Telecommunications and Information Technology, 1(2016), 84-89. (Indexed by Scopus SJR-Q3). Retrieved from: http://www.nit.eu/czasopisma/JTIT/2016/1/84.pdf

[2015]

1. Hanh Le Thi My, Binh Nguyen Thanh, Tung Khuat Thanh (2015). Survey on Mutation-based Test data Generation. International Journal of Electrical and Computer Engineering (IJECE), 5(5), 1164-1173. (Indexed by Scopus SJR-Q2). Retrieved from: http://iaesjournal.com/online/index.php/IJECE/article/view/7917


[2017]

7. Le Thi My Hanh, Nguyen Thanh Binh, Khuat Thanh Tung (2017). An Improved Genetic Algorithm for Test Data Generation for Simulink Models. Journal of Computer Science and Cybernetics, 33(1), 50-69. Retrieve from: http://dx.doi.org/10.15625/1813-9663/33/1/9315

[2016]

6. Thanh Tung Khuat, My Hanh Le (2016). An Effort Estimation Approach for Agile Software Development using Fireworks Algorithm Optimized Neural Network. International Journal of Computer Science and Information Security, 14(7), 122-130. Retrieved from: http://search.proquest.com/docview/1815514577?pq-origsite=gscholar

5. Thanh Tung Khuat, My Hanh Le (2016). A Survey on Human Social Phenomena inspired Algorithms. International Journal of Computer Science and Information Security, 14(6), 76-81. Retrieved from: http://search.proquest.com/openview/271612823ed83e4b4420e540f6b12b20/1?pq-origsite=gscholar&cbl=616671

4. Khuat Thanh Tung, Nguyen Thi Bich Loan, Le Quang Chanh, Le Thi My Hanh (2016). Applying Artificial Neural Network Optimized by Fireworks Algorithm for Stock Price Estimation.  ICTACT Journal on Soft Computing, 6(3),1183-1191. Retrieved from: http://ictactjournals.in/paper/IJSC_Vol_6_Iss_3_paper_2_1183_1191.pdf

[2015]

3. Khuat Thanh Tung, Le Thi My Hanh (2015). Applying Principal Component Analysis, Multilayer Perceptron and Self-Organizing Maps for Optical Character Recognition.  ICTACT Journal on Image and Video Processing, 6(2), 1115-1121. Retrieved from http://ictactjournals.in/ArticleDetails.aspx?id=2156

2. Khuat Thanh Tung, Nguyen Duc Hung, Le Thi My Hanh (2015). A Comparison of Algorithms used to measure the Similarity between two documents. International Journal of Advanced Research in Computer Engineering & Technology (IJARCET), 4(5), 1117-1121. Retrieved from: http://ijarcet.org/wp-content/uploads/IJARCET-VOL-4-ISSUE-4-1117-1121.pdf

[2014]

1. Le Thi My Hanh, Khuat Thanh Tung, Nguyen Thanh Binh (2014). Mutation-based Test Data Generation for Simulink Models using Genetic Algorithm and Simulated Annealing. International Journal of Computer and Information Technology, 3(4), 763-771. Retrieved from: www.ijcit.com/archives/volume3/issue4/Paper030412.pdf


[2020]

5. Thanh Tung Khuat, Fang Chen, Bogdan Gabrys (2020). An improved online learning algorithm for general fuzzy min-max neural network. In: Proceedings of IJCNN/WCCI (Core A ranking), pp. 1-9 (Conference Registration Grant) (Presentation video) (Slides)

[2019]

4. Thanh Tung Khuat, Bogdan Gabrys (2019). Accelerated training algorithms of general fuzzy min-max neural network using GPU for very high dimensional data. In: Proceedings of 26th International Conference on Neural Information Processing (ICONIP19) (Core A ranking), pp. 583-595, 2019 (Best paper award finalists) (Slides). Retrived from: https://link.springer.com/chapter/10.1007/978-3-030-36708-4_48 

[2016]

3. Nguyen Thi Ha Quyen, Khuat Thanh Tung, Le Thi My Hanh, Nguyen Thanh Binh (2016). Improving Mutant Generation for Simulink Models using Genetic Algorithm. In: Proceeding of International Conference on Electronics, Information and Communication (ICEIC), pp. 103-106. Retrieved from: http://ieeexplore.ieee.org/document/7562970/

[2014]

2. Le Thi My Hanh, Nguyen Thanh Binh, Khuat Thanh Tung (2014). Applying the meta-heuristic algorithms for mutation-based test data generation for Simulink model. In: Proceeding of the fifth international symposium on Information and Communication Technology (SoICT 2014), ACM, pp. 102-109. Retrieved from:http://dl.acm.org/citation.cfm?id=2676617

1. Le Thi My Hanh, Nguyen Thanh Binh, Khuat Thanh Tung (2014). A novel Test data generation approach based upon Mutation testing by using Artificial Immune System for Simulink models. In: KSE - The sixth International Conference on Knowledge and Systems Engineering – Advances in Intelligent System and Computing, pp. 169-181. Retrieved from: http://link.springer.com/chapter/10.1007%2F978-3-319-11680-8_14


B. National Papers


C. Thesis