| A Review on the Long Short-Term Memory Model G Van Houdt, C Mosquera, G Nápoles Artificial Intelligence Review, 5929–5955, 2020 | 1163 | 2020 |
| Root cause analysis in process mining with probabilistic temporal logic G Van Houdt, B Depaire, N Martin International Conference on Process Mining, 73-84, 2021 | 13 | 2021 |
| DaQAPO: supporting flexible and fine-grained event log quality assessment N Martin, G Van Houdt, G Janssenswillen Expert Systems with Applications 191, 116274, 2022 | 12 | 2022 |
| Unsupervised Event Abstraction in a Process Mining Context: A Benchmark Study G Van Houdt, B Depaire, N Martin International Conference on Process Mining, 82-93, 2020 | 4 | 2020 |
| Fuzzy Cognitive Maps: A Business Intelligence Discussion G Napoles Ruiz, G Van Houdt, M Laghmouch, W Goossens, Q Moesen, ... Springer, 2020 | 4* | 2020 |
| Towards more structured data quality assessment in the process mining field: the DaQAPO package N Martin, G Van Houdt, G Janssenswillen Proceedings of the European R Users Meeting 2020, 2020 | 3 | 2020 |
| Extensions to the bupaR ecosystem: An overview G Janssenswillen, F Mannhardt, M Creemers, B Depaire, M Jans, ... | 2 | 2020 |
| An empirical evaluation of unsupervised event log abstraction techniques in process mining G Van Houdt, M de Leoni, N Martin, B Depaire Information Systems 121, 102320, 2024 | | 2024 |
| AITIA-PM: Discovering the true causes of events in a process mining context G Van Houdt, N Martin, B Depaire Engineering Applications of Artificial Intelligence 126, 107145, 2023 | | 2023 |
| Mining Behavioural Patterns from Event Data to Enable Context-Aware Root Cause Analysis G Van Houdt Proceedings of the ICPM Doctoral Consortium and Tool Demonstration Track …, 2020 | | 2020 |
| Deep Learning: the power behind the Long Short-term Memory model G Van Houdt UHasselt, 2019 | | 2019 |
Gonzalo NápolesAssistant Professor at Tilburg University在 uvt.nl 的电子邮件经过验证
