| 2024 | CoDIT | Enhancing Predictive Analytics in Semiconductor Manufacturing: A Deep Learning Approach for Overall Equipment Efficiency Estimation. | Filippo Boni, Riccardo De Monte, Yao Yang, Natalie Gentner, Joon Khim Low, Gian Antonio Susto |
| 2023 | INDIN | Predictive Maintenance in the Industry: A Comparative Study on Deep Learning-based Remaining Useful Life Estimation. | Luciano Lorenti, Davide Dalle Pezze, Jacopo Andreoli, Chiara Masiero, Natalie Gentner, Yao Yang, Gian Antonio Susto |
| 2021 | WSC | A Scalable Deep Learning-Based Approach for Anomaly Detection in Semiconductor Manufacturing. | Simone Tedesco, Gian Antonio Susto, Natalie Gentner, Andreas Kyek, Yao Yang |
| 2020 | WSC | Interpretable Anomaly Detection for Knowledge Discovery in Semiconductor Manufacturing. | Mattia Carletti, Marco Maggipinto, Alessandro Beghi, Gian Antonio Susto, Natalie Gentner, Yao Yang, Andreas Kyek |
| 2020 | WSC | Enhancing Scalability of Virtual Metrology: A Deep Learning-Based Approach for Domain Adaptation. | Natalie Gentner, Andreas Kyek, Yao Yang, Mattia Carletti, Gian Antonio Susto |