# Evaluation Methodology for Interpretation Methods of Predictive Quality Models

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/evaluation-methodology-for-interpretation-methods-of-predictive-quality-models/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Tobias Schulze,Daniel Buschmann,Robert Schmitt |
| Citations | 2 |
| DOI | 10.1016/j.procir.2024.08.366 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://doi.org/10.1016/j.procir.2024.08.366 |
| OpenAlex ID | https://openalex.org/W4403249937 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Tobias Schulze](https://scholariq.org/researchers/tobias-schulze/)
- [Daniel Buschmann](https://scholariq.org/researchers/daniel-buschmann/)
- [Robert Schmitt](https://scholariq.org/researchers/robert-schmitt/)

## Paper funders

- [Deutsche Forschungsgemeinschaft](https://scholariq.org/funders/deutsche-forschungsgemeinschaft/)

## Paper journal

- [Procedia CIRP](https://scholariq.org/journals/procedia-cirp/)

## Paper primary topic

- [Explainable Artificial Intelligence (XAI)](https://scholariq.org/topics/explainable-artificial-intelligence-xai/)

## Paper topics

- [Explainable Artificial Intelligence (XAI)](https://scholariq.org/topics/explainable-artificial-intelligence-xai/)
- [Bayesian Modeling and Causal Inference](https://scholariq.org/topics/bayesian-modeling-and-causal-inference/)

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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.