| 2025 | ETFA | Leveraging Large Language Models for Robust Maintenance Rule Extraction in Industrial Settings. | Nicola Tamascelli, Nilavra Bhattacharya, Chen Song, Reuben Borrison, Ralf Gitzel |
| 2023 | INDIN | Measuring the Robustness of ML Models Against Data Quality Issues in Industrial Time Series Data. | Marcel Dix, Gianluca Manca, Kenneth Chigozie Okafor, Reuben Borrison, Konstantin Kirchheim, Divyasheel Sharma, Chandrika K. R., Deepti Maduskar, Frank Ortmeier |
| 2023 | INDIN | Technical Debt Management in Industrial ML - State of Practice and Management Model Proposal. | Xiaofei Wang, Herbert Schuster, Reuben Borrison, Benjamin Klpper |
| 2021 | INDIN | Practical Aspects for Exploration and Analysis of Manual Interventions in Process Plants. | Benedikt Schmidt, Reuben Borrison, Marco Grtler, Sylvia Maczey, Arzam Kotriwala |
| 2021 | SENSYS | Open set anomaly classification. | Marcel Dix, Reuben Borrison |
| 2019 | INDIN | Data Preparation for Data Mining in Chemical Plants using Big Data. | Reuben Borrison, Benjamin Klpper, Jennifer Mullen |
| 2018 | IDEAL | Reusable Big Data System for Industrial Data Mining - A Case Study on Anomaly Detection in Chemical Plants. | Reuben Borrison, Benjamin Klpper, Moncef Chioua, Marcel Dix, Barbara Sprick |