Interval Coded Scoring extensions for larger problems
By Lieven Billiet, S. Van Huffel, Vanya Van Belle. 2017
6 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Cardiology and Cardiovascular Medicine, Mathematical Optimization
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
- Cynthia Rudin
- Berk Ustun
- Lesia Semenova
- Chudi Zhong
- Zhi Chen
- Haiyang Huang
- Vanya Van Belle
- Lieven Billiet
In Cardiology and Cardiovascular Medicine
In Mathematical Optimization
- Cynthia Rudin
- Berk Ustun
- Lesia Semenova
- Chudi Zhong
- Zhi Chen
- Haiyang Huang
- S. Van Huffel
- Vanya Van Belle
Citations in the corpus
- Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges (2021, background): “Several works solve approximate versions of (3), including works of Sokolovska et al. (2018, 2017); Billiet et al. (2018, 2017); Carrizosa et al. (2016).”
- Interval Coded Scoring: a toolbox for interpretable scoring systems (2018, methodology): “Instead of using another model, one can also perform feature selection beforehand (Billiet et al., 2017).”
- Learning Optimized Risk Scores (2016, methodology): “[12] Billiet, Lieven, Sabine Van Huffel, and Vanya Van Belle.”