In this paper, we present a new method to design customizable self-evolving fuzzy rule-based classifiers. The presented approach combines an incremental clustering algorithm with a...
Abdullah Almaksour, Eric Anquetil, Solen Quiniou, ...
In this research, we investigate the role of common coupling in evolving software systems. It can be argued that most software developers understand that the use of global data has...
Abstract. We present a novel technique where a medical image segmentation system is evolved using genetic programming. The evolved system was trained on just 8 images outlined by a...
This paper explores the limitations of one technique for modelling computer-based systems with evolving requirements. A case study is introduced which highlights the importance of...
Anomaly detection holds great potential for detecting previously unknown attacks. In order to be effective in a practical environment, anomaly detection systems have to be capable...