Unboxing Tree ensembles for interpretability: A hierarchical visualization tool and a multivariate optimal re-built tree-Reference-Cited by-同舟云学术

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Unboxing Tree ensembles for interpretability: A hierarchical visualization tool and a multivariate optimal re-built tree

Published:2024 Issue: Volume:12 Page:100084
ISSN:2192-4406
Container-title:EURO Journal on Computational Optimization
language:en
Short-container-title:EURO Journal on Computational Optimization

Author:

Di Teodoro Giulia^ORCID,Monaci Marta,Palagi Laura^ORCID

Publisher

Elsevier BV

Reference38 articles.

1. A comparison among interpretative proposals for random forests;Aria;Mach. Learn. Appl.,2021

2. Explainable ensemble trees;Aria;Comput. Stat.,2023

3. Decision tree construction via linear programming;Bennett,1992

4. Optimal classification trees;Bertsimas;Mach. Learn.,2017

5. Shattering inequalities for learning optimal decision trees;Boutilier,2022

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Artificial intelligence to classify the cooling effect of tree-shade in buildings’ façade: a case study in Brazil;Theoretical and Applied Climatology;2024-08-29

2. Modern optimization approaches to classification—Special issue editorial;EURO Journal on Computational Optimization;2024-07

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