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Case-based Explainability for Random Forest: Prototypes, Critics,
  Counter-factuals and Semi-factuals

Case-based Explainability for Random Forest: Prototypes, Critics, Counter-factuals and Semi-factuals

13 August 2024
Gregory Yampolsky
Dhruv Desai
Mingshu Li
Stefano Pasquali
Dhagash Mehta
ArXivPDFHTML

Papers citing "Case-based Explainability for Random Forest: Prototypes, Critics, Counter-factuals and Semi-factuals"

3 / 3 papers shown
Title
Can an unsupervised clustering algorithm reproduce a categorization
  system?
Can an unsupervised clustering algorithm reproduce a categorization system?
Nathalia Castellanos
Dhruv Desai
Sebastian Frank
Stefano Pasquali
Dhagash Mehta
21
0
0
19 Aug 2024
Quantile Regression using Random Forest Proximities
Quantile Regression using Random Forest Proximities
Mingshu Li
Bhaskarjit Sarmah
Dhruv Desai
Joshua Rosaler
Snigdha Bhagat
Philip Sommer
Dhagash Mehta
18
3
0
05 Aug 2024
GeCo: Quality Counterfactual Explanations in Real Time
GeCo: Quality Counterfactual Explanations in Real Time
Maximilian Schleich
Zixuan Geng
Yihong Zhang
D. Suciu
35
61
0
05 Jan 2021
1