# Wasserstein Distance Learns Domain Invariant Feature Representations for Drift Compensation of E-Nose

> Research article (Sensors, 2019) · cited 20× · AI/ML

**Wikidata**: [openalex:W2969221627](https://www.wikidata.org/wiki/openalex:W2969221627)  
**Source**: https://4ort.xyz/entity/wasserstein-distance-learns-domain-invariant-feature-representations-for-drift-compensation-of-e-nose