SSTA has received a considerable amount of attention in recent years. However, it is a general rule that any approach can only be as accurate as the underlying models. Thus, varia...
Brian Cline, Kaviraj Chopra, David Blaauw, Andres ...
Spatiotemporal data pose serious challenges to analysts in geographic and other domains. Owing to the complexity of the geospatial and temporal components, this kind of data canno...
Gennady L. Andrienko, Natalia V. Andrienko, Sebast...
Abstract--Is the temporal dimension alone sufficient to characterize contacts in opportunistic networks? Several studies analyze the temporal aspect of contacts with significant re...
Nadjet Belblidia, Marcelo Dias de Amorim, Jeremie ...
The increasing availability of electronic communication data, such as that arising from e-mail exchange, presents social and information scientists with new possibilities for char...
R. Dean Malmgren, Jake M. Hofman, Luis A. N. Amara...
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...