31 citations · 44 across the 6 of their papers we have counts for
11 papers
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…
A Review of Meta-level Learning in the Context of Multi-component, Multi-level Evolving Prediction Systems
Abbas Raza Ali, Marcin Budka, Bogdan Gabrys
The exponential growth of volume, variety and velocity of data is raising the need for investigations of automated or semi-automated ways to extract useful patterns from the data.…
Scoring and Assessment in Medical VR Training Simulators with Dynamic Time Series Classification
Neil Vaughan, Bogdan Gabrys
This research proposes and evaluates scoring and assessment methods for Virtual Reality (VR) training simulators. VR simulators capture detailed n-dimensional human motion data whi…
Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction
Hongxu Chen, Hongzhi Yin, Xiangguo Sun +3
Cross-platform account matching plays a significant role in social network analytics, and is beneficial for a wide range of applications. However, existing methods either heavily r…
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…