A Novel Test Data Generation Approach Based Upon Mutation Testing by Using Artificial Immune System for Simulink Models. - Le Thi My Hanh; Nguyen Thanh Binh 002; Khuat Thanh Tung (KSE, 2014)

Applying the meta-heuristic algorithms for mutation-based test data generation for Simulink models. - Le Thi My Hanh; Nguyen Thanh Binh 002; Khuat Thanh Tung (SoICT, 2014)

Optimizing Parameters of Software Effort Estimation Models using Directed Artificial Bee Colony Algorithm. - Khuat Thanh Tung; Le Thi My Hanh (Informatica (Slovenia), 2016)

A Novel Fitness function of metaheuristic algorithms for test data generation for simulink models based on mutation analysis. - Le Thi My Hanh; Nguyen Thanh Binh 002; Khuat Thanh Tung (J. Syst. Softw., 2016)

A genetic algorithm with multi-parent crossover using quaternion representation for numerical function optimization. - Khuat Thanh Tung; Le Thi My Hanh (Appl. Intell., 2017)

A Novel Hybrid ABC-PSO Algorithm for Effort Estimation of Software Projects Using Agile Methodologies. - Khuat Thanh Tung; Le Thi My Hanh (J. Intell. Syst., 2018)

Accelerated Training Algorithms of General Fuzzy Min-Max Neural Network Using GPU for Very High Dimensional Data. - Thanh Tung Khuat; Bogdan Gabrys (ICONIP (1), 2019)

An Effective Multi-Resolution Hierarchical Granular Representation based Classifier using General Fuzzy Min-Max Neural Network. - Thanh Tung Khuat; Fang Chen 001; Bogdan Gabrys (CoRR, 2019)

Binary teaching-learning-based optimization algorithm with a new update mechanism for sample subset optimization in software defect prediction. - Thanh Tung Khuat; My Hanh Le (Soft Comput., 2019)

An Improved Online Learning Algorithm for General Fuzzy Min-Max Neural Network. - Thanh Tung Khuat; Fang Chen 001; Bogdan Gabrys (IJCNN, 2020)

Accelerated learning algorithms of general fuzzy min-max neural network using a branch-and-bound-based hyperbox selection rule. - Thanh Tung Khuat; Bogdan Gabrys (CoRR, 2020)

A comparative study of general fuzzy min-max neural networks for pattern classification problems. - Thanh Tung Khuat; Bogdan Gabrys (Neurocomputing, 2020)

Evaluation of Sampling-Based Ensembles of Classifiers on Imbalanced Data for Software Defect Prediction Problems. - Thanh Tung Khuat; My Hanh Le (SN Comput. Sci., 2020)

Application of Machine Learning to Performance Assessment for a class of PID-based Control Systems. - Patryk Grelewicz; Thanh Tung Khuat; Jacek Czeczot; Tomasz Klopot; Bogdan Gabrys (CoRR, 2021)

An in-depth comparison of methods handling mixed-attribute data for general fuzzy min-max neural network. - Thanh Tung Khuat; Bogdan Gabrys (Neurocomputing, 2021)

Accelerated learning algorithms of general fuzzy min-max neural network using a novel hyperbox selection rule. - Thanh Tung Khuat; Bogdan Gabrys (Inf. Sci., 2021)

Hyperbox-based machine learning algorithms: a comprehensive survey. - Thanh Tung Khuat; Dymitr Ruta; Bogdan Gabrys (Soft Comput., 2021)

An Effective Multiresolution Hierarchical Granular Representation Based Classifier Using General Fuzzy Min-Max Neural Network. - Thanh Tung Khuat; Fang Chen 001; Bogdan Gabrys (IEEE Trans. Fuzzy Syst., 2021)

Development of Robust and Scalable Hyperbox based Machine Learning Algorithms - Thanh Tung Khuat (2021)

The Roles and Modes of Human Interactions with Automated Machine Learning Systems. - Thanh Tung Khuat; David Jacob Kedziora; Bogdan Gabrys (CoRR, 2022)

hyperbox-brain: A Toolbox for Hyperbox-based Machine Learning Algorithms. - Thanh Tung Khuat; Bogdan Gabrys (CoRR, 2022)

Applications of Machine Learning in Biopharmaceutical Process Development and Manufacturing: Current Trends, Challenges, and Opportunities. - Thanh Tung Khuat; Robert Bassett; Ellen Otte; Alistair Grevis-James; Bogdan Gabrys (CoRR, 2023)

The Roles and Modes of Human Interactions with Automated Machine Learning Systems: A Critical Review and Perspectives. - Thanh Tung Khuat; David Jacob Kedziora; Bogdan Gabrys (Found. Trends Hum. Comput. Interact., 2023)

Random Hyperboxes. - Thanh Tung Khuat; Bogdan Gabrys (IEEE Trans. Neural Networks Learn. Syst., 2023)

An online learning algorithm for a neuro-fuzzy classifier with mixed-attribute data. - Thanh Tung Khuat; Bogdan Gabrys (Appl. Soft Comput., 2023)

hyperbox-brain: A Python toolbox for hyperbox-based machine learning algorithms. - Thanh Tung Khuat; Bogdan Gabrys (SoftwareX, 2023)

Application of Machine Learning to Performance Assessment for a Class of PID-Based Control Systems. - Patryk Grelewicz; Thanh Tung Khuat; Jacek Czeczot; Pawel Nowak; Tomasz Klopot; Bogdan Gabrys (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Practical implementation of computationally-efficient machine learning-based control performance assessment system for a class of closed loop systems. - Patryk Grelewicz; Pawel Nowak; Thanh Tung Khuat; Jacek Czeczot; Tomasz Klopot; Bogdan Gabrys (Appl. Soft Comput., 2023)

Online Machine Learning for Real-Time Cell Culture Process Monitoring. - Thanh Tung Khuat; Robert Bassett; Ellen Otte; Bogdan Gabrys (AI (2), 2024)

Applications of machine learning in antibody discovery, process development, manufacturing and formulation: Current trends, challenges, and opportunities. - Thanh Tung Khuat; Robert Bassett; Ellen Otte; Alistair Grevis-James; Bogdan Gabrys (Comput. Chem. Eng., 2024)

Uncertainty Quantification Using Ensemble Learning and Monte Carlo Sampling for Performance Prediction and Monitoring in Cell Culture Processes. - Thanh Tung Khuat; Robert Bassett; Ellen Otte; Bogdan Gabrys (CoRR, 2024)

Hyperbox Mixture Regression for Process Performance Prediction in Antibody Production. - Ali Nik-Khorasani; Thanh Tung Khuat; Bogdan Gabrys (CoRR, 2024)

Machine Learning Methods for Small Data and Upstream Bioprocessing Applications: A Comprehensive Review. - Johnny Peng; Thanh Tung Khuat; Katarzyna Musial; Bogdan Gabrys (CoRR, 2025)