11 citations · 13 across the 6 of their papers we have counts for
9 papers
hyperbox-brain: A Toolbox for Hyperbox-based Machine Learning Algorithms
Thanh Tung Khuat, Bogdan Gabrys
Hyperbox-based machine learning algorithms are an important and popular branch of machine learning in the construction of classifiers using fuzzy sets and logic theory and neural n…
The Roles and Modes of Human Interactions with Automated Machine Learning Systems
Thanh Tung Khuat, David Jacob Kedziora, Bogdan Gabrys
As automated machine learning (AutoML) systems continue to progress in both sophistication and performance, it becomes important to understand the `how' and `why' of human-computer…
An Online Learning Algorithm for a Neuro-Fuzzy Classifier with Mixed-Attribute Data
Thanh Tung Khuat, Bogdan Gabrys
General fuzzy min-max neural network (GFMMNN) is one of the efficient neuro-fuzzy systems for data classification. However, one of the downsides of its original learning algorithms…
An in-depth comparison of methods handling mixed-attribute data for general fuzzy min-max neural network
Thanh Tung Khuat, Bogdan Gabrys
A general fuzzy min-max (GFMM) neural network is one of the efficient neuro-fuzzy systems for classification problems. However, a disadvantage of most of the current learning algor…
Accelerated learning algorithms of general fuzzy min-max neural network using a novel hyperbox selection rule
Thanh Tung Khuat, Bogdan Gabrys
This paper proposes a method to accelerate the training process of a general fuzzy min-max neural network. The purpose is to reduce the unsuitable hyperboxes selected as the potent…
An improved online learning algorithm for general fuzzy min-max neural network
Thanh Tung Khuat, Fang Chen, Bogdan Gabrys
This paper proposes an improved version of the current online learning algorithm for a general fuzzy min-max neural network (GFMM) to tackle existing issues concerning expansion an…