Methods › General › Deep Tabular Learning › GRANDE
Gradient-Based Decision Tree Ensembles
GRANDE
Introduced by Sascha Marton et al. in GRANDE: Gradient-Based Decision Tree Ensembles for Tabular Data
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
The archive carries no description for this method.
Papers archive 2025-07-28
5 shown of 5, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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Integrating epidemiological and economic models to estimate the cost of simulated foot-and-mouth disease outbreaks in Brazil 10 Feb 2025 · 0 repositories · arXiv:2502.07083
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Identification of a time-varying SIR Model for Covid-19 25 Jul 2024 · 0 repositories · arXiv:2407.18154
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From Pampas to Pixels: Fine-Tuning Diffusion Models for Gaúcho Heritage 10 Jan 2024 · 0 repositories · arXiv:2401.05520
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Détection d'objets célestes dans des images astronomiques par IA explicable 17 Nov 2023 · 0 repositories · arXiv:2311.10592
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GRANDE: Gradient-Based Decision Tree Ensembles for Tabular Data 29 Sep 2023 · 3 repositories · arXiv:2309.17130Syntology ran 7 of 12 samples · 5 unverified
Tasks archive 2025-07-28
2 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
| Task | Papers |
|---|---|
| Explainable artificial intelligence | 1 |
| Position | 1 |
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections