APA (7th ed.) Citation

Zaccaria, V., Masiero, C., Dandolo, D., & Susto, G. A. (2024). Enabling Efficient and Flexible Interpretability of Data-driven Anomaly Detection in Industrial Processes with AcME-AD.

Chicago Style (17th ed.) Citation

Zaccaria, Valentina, Chiara Masiero, David Dandolo, and Gian Antonio Susto. Enabling Efficient and Flexible Interpretability of Data-driven Anomaly Detection in Industrial Processes with AcME-AD. 2024.

MLA (9th ed.) Citation

Zaccaria, Valentina, et al. Enabling Efficient and Flexible Interpretability of Data-driven Anomaly Detection in Industrial Processes with AcME-AD. 2024.