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 …

There is fast‐growing literature on provenance‐related research, covering aspects such as
its theoretical framework, use cases, and techniques for capturing, visualizing, and …

Delivering customer services through video communications has brought new opportunities
to analyze customer satisfaction for quality management. However, due to the lack of …

Constructing supervised machine learning models for real-world video analysis require
substantial labeled data, which is costly to acquire due to scarce domain expertise and …

In order to effectively infer correct labels from noisy crowdsourced annotations, learning-from-
crowds models have introduced expert validation. However, little research has been done …

In this paper, we contribute an eye tracking study conducted with pedestrians and cyclists.
We apply a visual analytics-based method to inspect pedestrians' and cyclists' gaze …

In eye tracking research, finding eye movement patterns and similar strategies between
participants' eye movements is important to understand task solving strategies and …

We define behavior as a set of actions performed by some actor during a period of time. We
consider the problem of analyzing a large collection of behaviors by multiple actors, more …

Qualitative coding offers the potential to obtain deep insights into social media, but the
technique can be inconsistent and hard to scale. Researchers using qualitative coding …

Self-regulated learning (SRL) integrates monitoring and controlling of cognitive, affective,
metacognitive, and motivational processes during learning in pursuit of goals. Researchers …