Harnessing Interpretable Machine Learning for Origami Feature Design and Pattern Selection

By Yi Zhu, E. Filipov. 2022

3 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Mechanical Engineering

How researchers see this paper

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

In Biomedical Engineering

1. Zhi Chen
2. Cynthia Rudin
3. L. Catherine Brinson
4. Alexander C. Ogren
5. Chiara Daraio

In Mechanical Engineering

1. L. Catherine Brinson
2. Chiara Daraio

Citations in the corpus

• How to See Hidden Patterns in Metamaterials with Interpretable Machine Learning (2021, background): “[22] also build rule-based models, namely decision trees, but the design problems they are solving are different and much simpler than the problem we try to solve.”