In this work, a generalized method for learning from sequence of unlabelled data points based on unsupervised order-preserving regression is proposed. Sequence learning is a funda...
This paper illustrates the development of an approximate analytical model for a communication network providing integrated services to a population of mobile users, and presents p...
Marco Ajmone Marsan, Salvatore Marano, Carlo Mastr...
In this paper, we present a novel three-stage process to visualize the structure of point clouds in arbitrary dimensions. To get insight into the structure and complexity of a dat...
Molecular dynamics is a widely used simulation technique to investigate material properties and structural changes under external forces. The availability of more powerful cluster...
Abstract. To advance the comprehension of complex biological processes occurring in crop plants (e.g. for improvement of growth or yield) it is of high interest to reconstruct and ...
Stephan Weise, Christian Colmsee, Eva Grafahrend-B...