Research in machine learning has become very popular in recent years, with many types of
models proposed to comprehend and predict patterns and trends in data originating from …

Big Data is an emerging paradigm and has currently become a strong attractor of global
interest, specially within the transportation industry. The combination of disruptive …

While there have been a dozen of authoring systems and programming toolkits for visual
design and development, users who do not have programming skills, such as data analysts …

Research on intelligent vehicles has been popular in the past decade. To fill the gap
between automatic approaches and man-machine control systems, it is indispensable to …

Deployment of modern data-driven machine learning methods, most often realized by deep
neural networks (DNNs), in safety-critical applications such as health care, industrial plant …

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 …

Visualization and artificial intelligence (AI) are well-applied approaches to data analysis. On
one hand, visualization can facilitate humans in data understanding through intuitive visual …

Predictive analytics embraces an extensive range of techniques including statistical
modeling, machine learning, and data mining and is applied in business intelligence, public …

Abstract Information visualization as a field is growing rapidly in popularity since the first
information visualization conference in 1995. However, as a consequence of its growth, it is …

Abstract Information visualization has been widely used to convey information from data and
assist communication. There are enormous needs of efficient visualization design for users …