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 …

With the ubiquity of advanced web technologies and location-sensing hand held devices,
citizens regardless of their knowledge or expertise, are able to produce spatial information …

Social media is an invaluable source of time-critical information during a crisis. However,
emergency response and humanitarian relief organizations that would like to use this …

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 …

Data scientists require rich mental models of how AI systems behave to effectively train,
debug, and work with them. Despite the prevalence of AI analysis tools, there is no general …

Nowadays, various data collected in urban context provide unprecedented opportunities for
building a smarter city through urban computing. However, due to heterogeneity, high …

It has been widely suggested that a key goal of visualization systems is to assist decision
making, but is this true? We conduct a critical investigation on whether the activity of …

The unprecedented availability of social media data offers substantial opportunities for data
owners, system operators, solution providers, and end users to explore and understand …

Visual text analytics has recently emerged as one of the most prominent topics in both
academic research and the commercial world. To provide an overview of the relevant …

Capturing human movement patterns across political borders is difficult and this difficulty
highlights the need to investigate alternative data streams. With the advent of smart phones …