Interpretable Sequence Classification Via Prototype Trajectory
By Dat Hong, Stephen Seung-Yeob Baek, Tong Wang. 2020
10 citations recorded by the source corpus.
Subfields: Safety, Robustness & Interpretability, Time-Series & Forecasting
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Safety, Robustness & Interpretability
- Lesia Semenova
- Zhi Chen
- Chudi Zhong
- Haiyang Huang
- Cynthia Rudin
- Octavio Loyola-González
- Tong Wang
- S. Lo Piano
Citations in the corpus
- Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges (2021, background): “[129] took the concepts in [183] and [53], and integrated prototype learning into recurrent neural networks for modeling sequential”