We present an algorithmic framework for supervised classification learning where the set of labels is organized in a predefined hierarchical structure. This structure is encoded b...
Abstract. The branching pattern and geometry of coronary microvessels are of high interest to understand and model the blood flow distribution and the processes of contrast invasi...
H. E. Bennink, Hans C. van Assen, Geert J. Streeks...
The general problem of visualizing “family trees”, or genealogical graphs, in 2D, is considered. A graph theoretic analysis is given, which identifies why genealogical graphs...
The goal of this paper is to improve the prediction performance of fault-prone module prediction models (fault-proneness models) by employing over/under sampling methods, which ar...
Integration testing has always been a challenge especially if the system under test is large with many subsystems and interfaces. This paper proposes an approach to design End-toE...