| 2024 | CoDIT | Enabling Efficient and Flexible Interpretability of Data-driven Anomaly Detection in Industrial Processes with AcME-AD. | Valentina Zaccaria, Chiara Masiero, David Dandolo, Gian Antonio Susto |
| 2023 | FDL | VIR2EM: VIrtualization and Remotization for Resilient and Efficient Manufacturing: Project-Dissemination Paper. | Alessandro Beghi, Nicola Dall'Ora, Davide Dalle Pezze, Franco Fummi, Chiara Masiero, Stefano Spellini, Gian Antonio Susto, Francesco Tosoni |
| 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 |
| 2019 | SMC | Explainable Machine Learning in Industry 4.0: Evaluating Feature Importance in Anomaly Detection to Enable Root Cause Analysis. | Mattia Carletti, Chiara Masiero, Alessandro Beghi, Gian Antonio Susto |
| 2019 | WWW | Supervised Lexicon Extraction for Emotion Classification. | Alberto Purpura, Chiara Masiero, Gianmaria Silvello, Gian Antonio Susto |
| 2018 | DIS | WS4ABSA: An NMF-Based Weakly-Supervised Approach for Aspect-Based Sentiment Analysis with Application to Online Reviews. | Alberto Purpura, Chiara Masiero, Gian Antonio Susto |