| Entropy as a measure of log variability CO Back, S Debois, T Slaats Journal on Data Semantics 8, 129-156, 2019 | 18 | 2019 |
| Discover: accurate and efficient discovery of declarative process models CO Back, T Slaats, TT Hildebrandt, M Marquard International Journal on Software Tools for Technology Transfer 24 (4), 563-587, 2022 | 16 | 2022 |
| Discovering responsibilities with dynamic condition response graphs V Nekrasaite, AT Parli, CO Back, T Slaats International Conference on Advanced Information Systems Engineering, 595-610, 2019 | 13 | 2019 |
| Weighing the pros and cons: process discovery with negative examples T Slaats, S Debois, CO Back International Conference on Business Process Management, 47-64, 2021 | 11 | 2021 |
| Towards an empirical evaluation of imperative and declarative process mining CO Back, S Debois, T Slaats International conference on conceptual modeling, 191-198, 2018 | 9 | 2018 |
| Business Process Management Workshops: BPM 2017 International Workshops, Barcelona, Spain, September 10-11, 2017, Revised Papers E Teniente, M Weidlich Springer, 2018 | 8 | 2018 |
| Towards an entropy-based analysis of log variability CO Back, S Debois, T Slaats International Conference on Business Process Management, 53-70, 2017 | 7 | 2017 |
| Mining patient flow patterns in a surgical ward C Olling Back, A Manataki, E Harrison Proceedings of the 13th international joint conference on biomedical …, 2020 | 6 | 2020 |
| Imperative versus declarative process mining: An empirical comparison C Back, S Debois, T Slaats Department of Computer Science, University of Copenhagen, WorkingPaper, 2020 | 1 | 2020 |
| Advances in Conceptual Modeling C Woo, J Lu, Z Li, TW Ling, G Li, ML Lee Springer International Publishing, 2018 | 1 | 2018 |
| Foundations and practice of binary process discovery T Slaats, S Debois, CO Back, AKF Christfort Information Systems 121, 102339, 2024 | | 2024 |
| Comparing Trace Similarity Metrics Across Logs and Evaluation Measures CO Back, JG Simonsen International Conference on Advanced Information Systems Engineering, 226-242, 2023 | | 2023 |
| Hybrid Process Mining: Inference & Evaluation Across Imperative & Declarative Approaches CO Back University of Copenhagen, Department of Computer Science, 2021 | | 2021 |
| Stochastic workflow modeling in a surgical ward: towards simulating and predicting patient flow C Olling Back, A Manataki, A Papanastasiou, E Harrison Biomedical Engineering Systems and Technologies, 2021 | | 2021 |
| DisCoveR: Accurate & Efficient Discovery of Declarative Process Models C Olling Back, T Slaats, T Troels Hildebrandt, M Marquard arXiv e-prints, arXiv: 2005.10085, 2020 | | 2020 |
| Stochastic Workflow Modeling in a Surgical Ward: Towards Simulating and Predicting Patient Flow CO Back, A Manataki, A Papanastasiou, E Harrison International Joint Conference on Biomedical Engineering Systems and …, 2020 | | 2020 |
| Advanced Information Systems Engineering: 31st International Conference, CAiSE 2019, Rome, Italy, June 3–7, 2019, Proceedings P Giorgini, B Weber Springer, 2019 | | 2019 |
| Probabilistic Topic Modeling C Back, K Mahari-Tesfai, M Frøkjær-Rubbås | | 2016 |
Tijs SlaatsAssociate Professor at Department of Computer Science, University of CopenhagenGeverifieerd e-mailadres voor di.ku.dk
