Many domains in the field of Inductive Logic Programming (ILP) involve highly unbalanced data. A common way to measure performance in these domains is to use precision and recall i...
This paper proposes a novel decision tree for a data set with time-series attributes. Our time-series tree has a value (i.e. a time sequence) of a time-series attribute in its int...
This paper addresses the measurement of motion expressiveness in wheeled mobile robots. A neural network based supervised learning strategy is proposed as a method to fuse informat...
— There is not a method for analysing unreplicated factorial designs that performs well for various configurations of number and size of active effects. Moreover, the most popula...
Abstract. Prediction and Planning are essential elements of successful human driving, making them equally important for autonomously driving systems. Many approaches achieve planni...
Irene Markelic, Tomas Kulvicius, Minija Tamosiunai...