Thanh Tung Khuat
Orcid: 0000-0002-6456-8530Affiliations:
- University of Technology Sydney, Faculty of Engineering and Information Technology, NSW, Australia
- University of Science and Technology Danang, Vietnam (former)
According to our database1,
Thanh Tung Khuat
authored at least 32 papers
between 2014 and 2024.
Collaborative distances:
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Bibliography
2024
Hyperbox Mixture Regression for Process Performance Prediction in Antibody Production.
CoRR, 2024
Uncertainty Quantification Using Ensemble Learning and Monte Carlo Sampling for Performance Prediction and Monitoring in Cell Culture Processes.
CoRR, 2024
Applications of machine learning in antibody discovery, process development, manufacturing and formulation: Current trends, challenges, and opportunities.
Comput. Chem. Eng., 2024
Proceedings of the AI 2024: Advances in Artificial Intelligence, 2024
2023
Practical implementation of computationally-efficient machine learning-based control performance assessment system for a class of closed loop systems.
Appl. Soft Comput., October, 2023
Application of Machine Learning to Performance Assessment for a Class of PID-Based Control Systems.
IEEE Trans. Syst. Man Cybern. Syst., July, 2023
SoftwareX, July, 2023
Appl. Soft Comput., April, 2023
The Roles and Modes of Human Interactions with Automated Machine Learning Systems: A Critical Review and Perspectives.
Found. Trends Hum. Comput. Interact., 2023
Applications of Machine Learning in Biopharmaceutical Process Development and Manufacturing: Current Trends, Challenges, and Opportunities.
CoRR, 2023
2022
CoRR, 2022
2021
PhD thesis, 2021
An Effective Multiresolution Hierarchical Granular Representation Based Classifier Using General Fuzzy Min-Max Neural Network.
IEEE Trans. Fuzzy Syst., 2021
Soft Comput., 2021
Accelerated learning algorithms of general fuzzy min-max neural network using a novel hyperbox selection rule.
Inf. Sci., 2021
An in-depth comparison of methods handling mixed-attribute data for general fuzzy min-max neural network.
Neurocomputing, 2021
Application of Machine Learning to Performance Assessment for a class of PID-based Control Systems.
CoRR, 2021
2020
Evaluation of Sampling-Based Ensembles of Classifiers on Imbalanced Data for Software Defect Prediction Problems.
SN Comput. Sci., 2020
A comparative study of general fuzzy min-max neural networks for pattern classification problems.
Neurocomputing, 2020
Accelerated learning algorithms of general fuzzy min-max neural network using a branch-and-bound-based hyperbox selection rule.
CoRR, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
2019
Binary teaching-learning-based optimization algorithm with a new update mechanism for sample subset optimization in software defect prediction.
Soft Comput., 2019
An Effective Multi-Resolution Hierarchical Granular Representation based Classifier using General Fuzzy Min-Max Neural Network.
CoRR, 2019
Accelerated Training Algorithms of General Fuzzy Min-Max Neural Network Using GPU for Very High Dimensional Data.
Proceedings of the Neural Information Processing - 26th International Conference, 2019
2018
A Novel Hybrid ABC-PSO Algorithm for Effort Estimation of Software Projects Using Agile Methodologies.
J. Intell. Syst., 2018
2017
A genetic algorithm with multi-parent crossover using quaternion representation for numerical function optimization.
Appl. Intell., 2017
2016
A Novel Fitness function of metaheuristic algorithms for test data generation for simulink models based on mutation analysis.
J. Syst. Softw., 2016
Optimizing Parameters of Software Effort Estimation Models using Directed Artificial Bee Colony Algorithm.
Informatica (Slovenia), 2016
2014
Applying the meta-heuristic algorithms for mutation-based test data generation for Simulink models.
Proceedings of the Fifth Symposium on Information and Communication Technology, 2014
A Novel Test Data Generation Approach Based Upon Mutation Testing by Using Artificial Immune System for Simulink Models.
Proceedings of the Knowledge and Systems Engineering, 2014