Concept drifting is an important and challenging research issue in the field of machine learning. This paper mainly addresses the issue of semantic concept drifting in time series...
Abstract. The coverability problem is decidable for the class of wellstructured transition systems. Until recently, the only known algorithm to solve this problem was based on symb...
Our previous work on road detection suggests the usage of prior knowledge in order to improve performance. In this paper we will explain our motivation for a novel approach, defin...
Program slicing is a well-known methodology that aims at identifying the program statements that (potentially) affect the values computed at some point of interest. Within imperat...
In this paper, we propose a set of similarity metrics for manipulating collections of values occuring in XML documents. Following the data model presented in TAX algebra, we treat...
Carina F. Dorneles, Carlos A. Heuser, Andrei E. N....