Visual analytics for machine learning has recently evolved as one of the most exciting areas
in the field of visualization. To better identify which research topics are promising and to …

Recent years have witnessed an explosion of extensive geolocated datasets related to
human movement, enabling scientists to quantitatively study individual and collective …

Pervasive presence of location-sharing services made it possible for researchers to gain an
unprecedented access to the direct records of human activity in space and time. This article …

Recent advances in technology have enabled social media services to support space-time
indexed data, and internet users from all over the world have created a large volume of time …

With the development of social media (eg Twitter, Flickr, Foursquare, Sina Weibo, etc.), a
large number of people are now using them and post microblogs, messages and multi …

Abstract Analysis of public behavior plays an important role in crisis management, disaster
response, and evacuation planning. Unfortunately, collecting relevant data can be costly …

Users with anomalous behaviors in online communication systems (eg email and social
medial platforms) are potential threats to society. Automated anomaly detection based on …

The increasing availability of spatiotemporal data continuously collected from various
sources provides new opportunities for a timely understanding of the data in their spatial and …

As the Internet of Things (IoT) grows rapidly, huge amounts of wireless sensor networks
emerged monitoring a wide range of infrastructure, in various domains such as healthcare …

One major cause of performance degradation in predictive models is that the test samples
are not well covered by the training data. Such not well-represented samples are called OoD …