Sequence Synopsis: Optimize Visual Summary of Temporal Event Data

By Yuanzhe Chen, Panpan Xu, Liu Ren. 2018

105 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Liu Ren
2. Yao Ming
3. Huamin Qu
4. Panpan Xu
5. Cynthia Rudin
6. Joanna Radin

In Computer Vision and Pattern Recognition

1. Liu Ren
2. Yao Ming
3. Huamin Qu
4. Panpan Xu
5. Shixia Liu

Citations in the corpus

• Interpretable and Steerable Sequence Learning via Prototypes (2019, methodology): “that are likely to occur in the future, and thus enable predictive maintenance for car manufacturers and repair workshops, which eventually could improve customer experience and reduce warranty costs [7]. The most widely adopted method for modeling sequential data nowadays is Recurrent Neural Networ”