Thanh Tung Khuat

35 papers B 1Journal 31Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Learning From Limited Data and Feedback for Cell Culture Process Monitoring: A Comparative Study. CoRR Johnny Peng, Thanh Tung Khuat, Ellen Otte, Katarzyna Musial, Bogdan Gabrys
2025	J	`jnl`	Lessons Learned from Deploying Adaptive Machine Learning Agents with Limited Data for Real-time Cell Culture Process Monitoring. CoRR Thanh Tung Khuat, Johnny Peng, Robert Bassett, Ellen Otte, Bogdan Gabrys
2025	J	`jnl`	Machine Learning Methods for Small Data and Upstream Bioprocessing Applications: A Comprehensive Review. CoRR Johnny Peng, Thanh Tung Khuat, Katarzyna Musial, Bogdan Gabrys
2024	J	`jnl`	Applications of machine learning in antibody discovery, process development, manufacturing and formulation: Current trends, challenges, and opportunities. Comput. Chem. Eng. Thanh Tung Khuat, Robert Bassett, Ellen Otte, Alistair Grevis-James, Bogdan Gabrys
2024	J	`jnl`	Hyperbox Mixture Regression for Process Performance Prediction in Antibody Production. CoRR Ali Nik-Khorasani, Thanh Tung Khuat, Bogdan Gabrys
2024	—	`conf`	Online Machine Learning for Real-Time Cell Culture Process Monitoring. AI (2) Thanh Tung Khuat, Robert Bassett, Ellen Otte, Bogdan Gabrys
2024	J	`jnl`	Uncertainty Quantification Using Ensemble Learning and Monte Carlo Sampling for Performance Prediction and Monitoring in Cell Culture Processes. CoRR Thanh Tung Khuat, Robert Bassett, Ellen Otte, Bogdan Gabrys
2023	J	`jnl`	An online learning algorithm for a neuro-fuzzy classifier with mixed-attribute data. Appl. Soft Comput. Thanh Tung Khuat, Bogdan Gabrys
2023	J	`jnl`	Application of Machine Learning to Performance Assessment for a Class of PID-Based Control Systems. IEEE Trans. Syst. Man Cybern. Syst. Patryk Grelewicz, Thanh Tung Khuat, Jacek Czeczot, Pawel Nowak, Tomasz Klopot, Bogdan Gabrys
2023	J	`jnl`	Applications of Machine Learning in Biopharmaceutical Process Development and Manufacturing: Current Trends, Challenges, and Opportunities. CoRR Thanh Tung Khuat, Robert Bassett, Ellen Otte, Alistair Grevis-James, Bogdan Gabrys
2023	J	`jnl`	Practical implementation of computationally-efficient machine learning-based control performance assessment system for a class of closed loop systems. Appl. Soft Comput. Patryk Grelewicz, Pawel Nowak, Thanh Tung Khuat, Jacek Czeczot, Tomasz Klopot, Bogdan Gabrys
2023	J	`jnl`	Random Hyperboxes. IEEE Trans. Neural Networks Learn. Syst. Thanh Tung Khuat, Bogdan Gabrys
2023	J	`jnl`	The Roles and Modes of Human Interactions with Automated Machine Learning Systems: A Critical Review and Perspectives. Found. Trends Hum. Comput. Interact. Thanh Tung Khuat, David Jacob Kedziora, Bogdan Gabrys
2023	J	`jnl`	hyperbox-brain: A Python toolbox for hyperbox-based machine learning algorithms. SoftwareX Thanh Tung Khuat, Bogdan Gabrys
2022	J	`jnl`	The Roles and Modes of Human Interactions with Automated Machine Learning Systems. CoRR Thanh Tung Khuat, David Jacob Kedziora, Bogdan Gabrys
2022	J	`jnl`	hyperbox-brain: A Toolbox for Hyperbox-based Machine Learning Algorithms. CoRR Thanh Tung Khuat, Bogdan Gabrys
2021	J	`jnl`	Accelerated learning algorithms of general fuzzy min-max neural network using a novel hyperbox selection rule. Inf. Sci. Thanh Tung Khuat, Bogdan Gabrys
2021	J	`jnl`	An Effective Multiresolution Hierarchical Granular Representation Based Classifier Using General Fuzzy Min-Max Neural Network. IEEE Trans. Fuzzy Syst. Thanh Tung Khuat, Fang Chen, Bogdan Gabrys
2021	J	`jnl`	An in-depth comparison of methods handling mixed-attribute data for general fuzzy min-max neural network. Neurocomputing Thanh Tung Khuat, Bogdan Gabrys
2021	J	`jnl`	Application of Machine Learning to Performance Assessment for a class of PID-based Control Systems. CoRR Patryk Grelewicz, Thanh Tung Khuat, Jacek Czeczot, Tomasz Klopot, Bogdan Gabrys
2021	—	`—`	Development of Robust and Scalable Hyperbox based Machine Learning Algorithms Thanh Tung Khuat
2021	J	`jnl`	Hyperbox-based machine learning algorithms: a comprehensive survey. Soft Comput. Thanh Tung Khuat, Dymitr Ruta, Bogdan Gabrys
2020	J	`jnl`	A comparative study of general fuzzy min-max neural networks for pattern classification problems. Neurocomputing Thanh Tung Khuat, Bogdan Gabrys
2020	J	`jnl`	Accelerated learning algorithms of general fuzzy min-max neural network using a branch-and-bound-based hyperbox selection rule. CoRR Thanh Tung Khuat, Bogdan Gabrys
2020	B	`conf`	An Improved Online Learning Algorithm for General Fuzzy Min-Max Neural Network. IJCNN Thanh Tung Khuat, Fang Chen, Bogdan Gabrys
2020	J	`jnl`	An Online Learning Algorithm for a Neuro-Fuzzy Classifier with Mixed-Attribute Data. CoRR Thanh Tung Khuat, Bogdan Gabrys
2020	J	`jnl`	An improved online learning algorithm for general fuzzy min-max neural network. CoRR Thanh Tung Khuat, Fang Chen, Bogdan Gabrys
2020	J	`jnl`	An in-depth comparison of methods handling mixed-attribute data for general fuzzy min-max neural network. CoRR Thanh Tung Khuat, Bogdan Gabrys
2020	J	`jnl`	Evaluation of Sampling-Based Ensembles of Classifiers on Imbalanced Data for Software Defect Prediction Problems. SN Comput. Sci. Thanh Tung Khuat, My Hanh Le
2020	J	`jnl`	Random Hyperboxes. CoRR Thanh Tung Khuat, Bogdan Gabrys
2019	J	`jnl`	A comparative study of general fuzzy min-max neural networks for pattern classification problems. CoRR Thanh Tung Khuat, Bogdan Gabrys
2019	—	`conf`	Accelerated Training Algorithms of General Fuzzy Min-Max Neural Network Using GPU for Very High Dimensional Data. ICONIP (1) Thanh Tung Khuat, Bogdan Gabrys
2019	J	`jnl`	An Effective Multi-Resolution Hierarchical Granular Representation based Classifier using General Fuzzy Min-Max Neural Network. CoRR Thanh Tung Khuat, Fang Chen, Bogdan Gabrys
2019	J	`jnl`	Binary teaching-learning-based optimization algorithm with a new update mechanism for sample subset optimization in software defect prediction. Soft Comput. Thanh Tung Khuat, My Hanh Le
2019	J	`jnl`	Hyperbox based machine learning algorithms: A comprehensive survey. CoRR Thanh Tung Khuat, Dymitr Ruta, Bogdan Gabrys