Thanh Tung Khuat

Orcid: 0000-0002-6456-8530

Affiliations:
  • 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 30 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

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

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

hyperbox-brain: A Python toolbox for hyperbox-based machine learning algorithms.
SoftwareX, July, 2023

An online learning algorithm for a neuro-fuzzy classifier with mixed-attribute data.
Appl. Soft Comput., April, 2023

Random Hyperboxes.
IEEE Trans. Neural Networks Learn. Syst., February, 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
hyperbox-brain: A Toolbox for Hyperbox-based Machine Learning Algorithms.
CoRR, 2022

The Roles and Modes of Human Interactions with Automated Machine Learning Systems.
CoRR, 2022

2021
Development of Robust and Scalable Hyperbox based Machine Learning Algorithms
PhD thesis, 2021

An Effective Multiresolution Hierarchical Granular Representation Based Classifier Using General Fuzzy Min-Max Neural Network.
IEEE Trans. Fuzzy Syst., 2021

Hyperbox-based machine learning algorithms: a comprehensive survey.
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

An Improved Online Learning Algorithm for General Fuzzy Min-Max Neural Network.
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


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