| 2022 | CaiSE | Inferring a Multi-perspective Likelihood Graph from Black-Box Next Event Predictors. | Yannik Gerlach, Alexander Seeliger, Timo Nolle, Max Mhlhuser |
| 2021 | BPM | Process Learning for Process Autonomous Anomaly Correction (Extended Abstract). | Timo Nolle |
| 2021 | CaiSE | Learning of Process Representations Using Recurrent Neural Networks. | Alexander Seeliger, Stefan Luettgen, Timo Nolle, Max Mhlhuser |
| 2020 | CaiSE | DeepAlign: Alignment-Based Process Anomaly Correction Using Recurrent Neural Networks. | Timo Nolle, Alexander Seeliger, Nils Thoma, Max Mhlhuser |
| 2020 | ICPM | Case2vec: Advances in Representation Learning for Business Processes. | Stefan Luettgen, Alexander Seeliger, Timo Nolle, Max Mhlhuser |
| 2019 | BPM | ProcessExplorer: Intelligent Process Mining Guidance. | Alexander Seeliger, Alejandro Snchez Guinea, Timo Nolle, Max Mhlhuser |
| 2018 | BPM | BINet: Multivariate Business Process Anomaly Detection Using Deep Learning. | Timo Nolle, Alexander Seeliger, Max Mhlhuser |
| 2018 | BPM | Finding Structure in the Unstructured: Hybrid Feature Set Clustering for Process Discovery. | Alexander Seeliger, Timo Nolle, Max Mhlhuser |
| 2017 | Mobiquitous | Capturing Daily Student Life by Recognizing Complex Activities Using Smartphones. | Christian Meurisch, Artur Gogel, Benedikt Schmidt, Timo Nolle, Frederik Janssen, Immanuel Schweizer, Max Mhlhuser |
| 2016 | DIS | Unsupervised Anomaly Detection in Noisy Business Process Event Logs Using Denoising Autoencoders. | Timo Nolle, Alexander Seeliger, Max Mhlhuser |
| 2016 | ICIS | Process Compliance Checking using Taint Flow Analysis. | Alexander Seeliger, Timo Nolle, Benedikt Schmidt, Max Mhlhuser |