Παρακολούθηση
Khuat Thanh Tung
Khuat Thanh Tung
Άλλα ονόματαThanh Tung Khuat, Tung Khuat
Data Science Institute - University of Technology Sydney
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα uts.edu.au - Αρχική σελίδα
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
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
632018
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
412015
Hyperbox based machine learning algorithms: A comprehensive survey
TT Khuat, D Ruta, B Gabrys
Soft Computing 25, 1325–1363, 2021
382021
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
382020
A comparative study of general fuzzy min-max neural networks for pattern classification problems
TT Khuat, B Gabrys
Neurocomputing 386, 110-125, 2020
372020
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
352017
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
332019
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
272016
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
262014
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
232017
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
212021
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
202021
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
162023
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
162019
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
152020
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