Statistical Modeling: The Two Cultures (with comments and a rejoinder by the author)
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Citation edge evidence
- Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)→Statistical Modeling: The Two Cultures (with comments and a rejoinder by the author)Legacy edge — source detail unavailable
- Definitions, methods, and applications in interpretable machine learning→Statistical Modeling: The Two Cultures (with comments and a rejoinder by the author)Legacy edge — source detail unavailable
- Interpreting Black-Box Models: A Review on Explainable Artificial Intelligence→Statistical Modeling: The Two Cultures (with comments and a rejoinder by the author)Legacy edge — source detail unavailable
- Peeking Inside the Black Box: Visualizing Statistical Learning With Plots of Individual C…→Statistical Modeling: The Two Cultures (with comments and a rejoinder by the author)Legacy edge — source detail unavailable
- Machine Learning Interpretability: A Survey on Methods and Metrics→Statistical Modeling: The Two Cultures (with comments and a rejoinder by the author)Legacy edge — source detail unavailable
- Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustw…→Statistical Modeling: The Two Cultures (with comments and a rejoinder by the author)Legacy edge — source detail unavailable
- Statistical Modeling: The Two Cultures (with comments and a rejoinder by the author)→Random ForestsLegacy edge — source detail unavailable
- Statistical Modeling: The Two Cultures (with comments and a rejoinder by the author)→The Nature of Statistical Learning TheoryLegacy edge — source detail unavailable
- Statistical Modeling: The Two Cultures (with comments and a rejoinder by the author)→The random subspace method for constructing decision forestsLegacy edge — source detail unavailable
- Statistical Modeling: The Two Cultures (with comments and a rejoinder by the author)→Machine Learning, Neural and Statistical ClassificationLegacy edge — source detail unavailable
- The random subspace method for constructing decision forests→The Nature of Statistical Learning TheoryLegacy edge — source detail unavailable
- Peeking Inside the Black Box: Visualizing Statistical Learning With Plots of Individual C…→Random ForestsLegacy edge — source detail unavailable
- Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)→Peeking Inside the Black Box: Visualizing Statistical Learning With Plots of Individual C…Legacy edge — source detail unavailable
- Definitions, methods, and applications in interpretable machine learning→Random ForestsLegacy edge — source detail unavailable
- Random Forests→The random subspace method for constructing decision forestsLegacy edge — source detail unavailable
- Machine Learning Interpretability: A Survey on Methods and Metrics→Peeking Inside the Black Box: Visualizing Statistical Learning With Plots of Individual C…Legacy edge — source detail unavailable
- Machine Learning Interpretability: A Survey on Methods and Metrics→Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)Legacy edge — source detail unavailable
- Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustw…→Peeking Inside the Black Box: Visualizing Statistical Learning With Plots of Individual C…Legacy edge — source detail unavailable
- Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustw…→Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)Legacy edge — source detail unavailable
- Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustw…→Definitions, methods, and applications in interpretable machine learningLegacy edge — source detail unavailable
- Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustw…→Machine Learning Interpretability: A Survey on Methods and MetricsLegacy edge — source detail unavailable
- Interpreting Black-Box Models: A Review on Explainable Artificial Intelligence→Peeking Inside the Black Box: Visualizing Statistical Learning With Plots of Individual C…Legacy edge — source detail unavailable
- Interpreting Black-Box Models: A Review on Explainable Artificial Intelligence→Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)Legacy edge — source detail unavailable
- Interpreting Black-Box Models: A Review on Explainable Artificial Intelligence→Random ForestsLegacy edge — source detail unavailable
What this paper cites, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| Random Forests | 2001 | 131,109 |
| The Nature of Statistical Learning Theory | 1995 | 39,409 |
| The random subspace method for constructing decision forests | 1998 | 6,904 |
| Machine Learning, Neural and Statistical Classification | 1995 | 2,193 |
What cites it, inside the corpus
Links
Topics
| Bayesian Modeling and Causal Inference | Computer Science |
| Advanced Statistical Methods and Models | Mathematics |
| Statistical Methods and Inference | Mathematics |
Is this record sound?
complete
Nothing in this record contradicts itself and no field we check is missing.
- supports1 author record(s) attached.
- supports27 reference(s) recorded.
- neutralThe DOI carries no year to check against.
- supportsA title is present.
Provenance
sha256 bba2969b3567609a…