# Horizon 2020

**Type:** Funders  
**Canonical URL:** https://scholariq.org/funders/horizon-2020/

## Facts

| Field | Value |
| --- | --- |
| Description | Framework Program for research funded by the European Commission for 2014-2020 |
| OpenAlex ID | https://openalex.org/F4320335254 |
| Works | 45,755 |

## Funder papers

- [An interpretable unsupervised Bayesian network model for fault detection and diagnosis](https://scholariq.org/papers/an-interpretable-unsupervised-bayesian-network-model-for-fault-detection-and/)
- [In-field disease symptom detection and localisation using explainable deep learning: Use case for downy mildew in grapevine](https://scholariq.org/papers/in-field-disease-symptom-detection-and-localisation-using-explainable-deep-2/)
- [Robot-assisted ex vivo neobladder reconstruction: preliminary results of surgical skill evaluation](https://scholariq.org/papers/robot-assisted-ex-vivo-neobladder-reconstruction-preliminary-results-of-surgical/)

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