Accuracy and Interpretability Trade-Offs in Machine Learning Applied to Safer Gambling
By Sanjoy Sarkar, Tillman Weyde, A.S. d'Avila Garcez, G. Slabaugh, Simo Dragicevic, Christian Percy. 2016
30 citations recorded by the source corpus.
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Vinay Chamola
- Mufti Mahmud
- Simone Scardapane
- Vikas Hassija
- Atmesh Mahapatra
- Abhinandan Singal
- D. Goel
- Amir Hussain
Citations in the corpus
- Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI) (2018, background): “class of methods, is the tradeoff between interpretability and accuracy [69].”
- Interpreting Black-Box Models: A Review on Explainable Artificial Intelligence (2023, methodology): “This unfeasible tradeoff between accuracy and interpretability suggested post hoc procedures to be taken into account in a deliberate manner [129].”