# Unbiased Isotonic Regression Tree for Discovering Hidden Heterogeneity in Monotonicity Constraints

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/unbiased-isotonic-regression-tree-for-discovering-hidden-heterogeneity-in/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Doowon Choi |
| Citations | 1 |
| DOI | 10.3390/app15020818 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/2076-3417/15/2/818/pdf?version=1737017780 |
| OpenAlex ID | https://openalex.org/W4406433975 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Doowon Choi](https://scholariq.org/researchers/doowon-choi/)

## Paper journal

- [Applied Sciences](https://scholariq.org/journals/applied-sciences/)

## Paper primary topic

- [Machine Learning and Data Classification](https://scholariq.org/topics/machine-learning-and-data-classification/)

## Paper topics

- [Machine Learning and Data Classification](https://scholariq.org/topics/machine-learning-and-data-classification/)
- [Neural Networks and Applications](https://scholariq.org/topics/neural-networks-and-applications/)
- [Face and Expression Recognition](https://scholariq.org/topics/face-and-expression-recognition/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.