Generative Adversarial Networks (GANs) have shown remarkable success in producing
realistic-looking images in the computer vision area. Recently, GAN-based techniques are …

Anomaly detection identifies objects or events that do not behave as expected or correlate
with other data points. Anomaly detection has been used to identify and investigate …

Even though the problem of event detection from social media has been well studied in
recent years, few authors have looked at deriving structured representations for their …

In recent years, spatiotemporal data has continued to proliferate with the development of
data collecting technologies such as the Global Positioning System (GPS), the Internet of …

Effective event modeling allows accurate event identification and monitoring to enable timely
response to emergencies occurring in various applications. Although event identification (or …

Linked data datasets are usually created with different data and metadata quality. This
makes the exploration of these datasets a quite difficult task for the users. In this paper, we …

Synthetic data provides a good alternative to real data when the latter is not sufficientor
limited by privacy requirements. In spatio-temporal applications, generating syntheticdata is …

Diese Arbeit untersucht, in wie weit Geodaten aus sozialen Medien vor, während und nach
Naturkatastrophen gesammelt und ausgewertet werden können, um das Lagebewusstsein …