A Novel Hybrid ABC-PSO Algorithm for Effort Estimation of Software Projects Using Agile Methodologies TT Khuat, MH Le Journal of Intelligent Systems 27 (3), 489–506, 2018 | 63 | 2018 |
A Comparison of Algorithms used to measure the Similarity between two documents KT Tung, ND Hung, LTM Hanh International Journal of Advanced Research in Computer Engineering …, 2015 | 41 | 2015 |
Hyperbox based machine learning algorithms: A comprehensive survey TT Khuat, D Ruta, B Gabrys Soft Computing 25, 1325–1363, 2021 | 38 | 2021 |
Evaluation of sampling-based ensembles of classifiers on imbalanced data for software defect prediction problems TT Khuat, MH Le SN Computer Science 1 (2), 108, 2020 | 38 | 2020 |
A comparative study of general fuzzy min-max neural networks for pattern classification problems TT Khuat, B Gabrys Neurocomputing 386, 110-125, 2020 | 37 | 2020 |
An application of artificial neural networks and fuzzy logic on the stock price prediction problem TT Khuat, MH Le JOIV: International Journal on Informatics Visualization 1 (2), 40-49, 2017 | 35 | 2017 |
Ensemble learning for software fault prediction problem with imbalanced data. TT Khuat, MH Le International Journal of Electrical & Computer Engineering (2088-8708) 9 (4), 2019 | 33 | 2019 |
Optimizing Parameters of Software Effort Estimation Models using Directed Artificial Bee Colony Algorithm K Thanh Tung, L My Hanh Informatica 40 (4), 427-436, 2017 | 30* | 2017 |
The Roles and Modes of Human Interactions with Automated Machine Learning Systems: A Critical Review and Perspectives TT Khuat, DJ Kedziora, B Gabrys Foundations and Trends® in Human–Computer Interaction 17 (3-4), 195-387, 2023 | 29* | 2023 |
A Novel Fitness Function of Metaheuristic Algorithms for Test Data Generation for Simulink Models based on Mutation Analysis LTM Hanh, NT Binh, KT Tung Journal of Systems and Software 120, 17-30, 2016 | 27 | 2016 |
Mutation-based Test Data Generation for Simulink Models using Genetic Algorithm and Simulated Annealing LTM Hanh, KT Tung, NT Binh International Journal of Computer and Information Technology 3 (04), 763-771, 2014 | 26 | 2014 |
Applications of machine learning in antibody discovery, process development, manufacturing and formulation: Current trends, challenges, and opportunities TT Khuat, R Bassett, E Otte, A Grevis-James, B Gabrys Computers & Chemical Engineering, 108585, 2024 | 23* | 2024 |
A genetic algorithm with multi-parent crossover using quaternion representation for numerical function optimization TT Khuat, MH Le Applied Intelligence 46, 810-826, 2017 | 23 | 2017 |
An Effort Estimation Approach for Agile Software Development using Fireworks Algorithm Optimized Neural Network K Thanh Tung, L My Hanh International Journal of Computer Science and Information Security 14 (7 …, 2016 | 22* | 2016 |
An effective multi-resolution hierarchical granular representation based classifier using general fuzzy min-max neural network TT Khuat, F Chen, B Gabrys IEEE Transactions on Fuzzy Systems 29 (2), 427- 441, 2021 | 21 | 2021 |
Accelerated learning algorithms of general fuzzy min-max neural network using a novel hyperbox selection rule TT Khuat, B Gabrys Information Sciences 547, 887-909, 2021 | 20 | 2021 |
Survey on Mutation-based Test Data Generation LTM Hanh, NT Binh, KT Tung International Journal of Electrical and Computer Engineering (IJECE) 5 (5), 2015 | 20* | 2015 |
Application of Machine Learning to Performance Assessment for a class of PID-based Control Systems P Grelewicz, TT Khuat, J Czeczot, P Nowak, T Klopot, B Gabrys IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023 | 16 | 2023 |
Binary teaching–learning-based optimization algorithm with a new update mechanism for sample subset optimization in software defect prediction TT Khuat, MH Le Soft Computing 23 (20), 9919-9935, 2019 | 16 | 2019 |
An improved online learning algorithm for general fuzzy min-max neural network TT Khuat, F Chen, B Gabrys 2020 International Joint Conference on Neural Networks (IJCNN), 1-9, 2020 | 15 | 2020 |