| Active trace clustering for improved process discovery J De Weerdt, S vanden Broucke, J Vanthienen, B Baesens IEEE Transactions on Knowledge and Data Engineering 25 (12), 2708-2720, 2013 | 221 | 2013 |
| An empirical comparison of techniques for the class imbalance problem in churn prediction B Zhu, B Baesens, SKLM vanden Broucke Information Sciences 408, 84-99, 2017 | 209 | 2017 |
| Deep learning for credit scoring: Do or don’t? BR Gunnarsson, S Vanden Broucke, B Baesens, M Óskarsdóttir, ... European Journal of Operational Research 295 (1), 292-305, 2021 | 129 | 2021 |
| Profit driven decision trees for churn prediction S Höppner, E Stripling, B Baesens, S vanden Broucke, T Verdonck European Journal of Operational Research 284 (3), 920-933, 2020 | 125 | 2020 |
| Fodina: a robust and flexible heuristic process discovery technique SKLM vanden Broucke, J De Weerdt Decision Support Systems 100, 109-118, 2017 | 123 | 2017 |
| Profit maximizing logistic model for customer churn prediction using genetic algorithms E Stripling, S vanden Broucke, K Antonio, B Baesens, M Snoeck Swarm and Evolutionary Computation 40, 116-130, 2018 | 98 | 2018 |
| act2vec, trace2vec, log2vec, and model2vec: Representation Learning for Business Processes P De Koninck, S vanden Broucke, J De Weerdt Business Process Management: 16th International Conference, BPM 2018, Sydney …, 2018 | 91 | 2018 |
| Special issue on feature engineering editorial T Verdonck, B Baesens, M Óskarsdóttir, S vanden Broucke Machine learning 113 (7), 3917-3928, 2024 | 89 | 2024 |
| Determining process model precision and generalization with weighted artificial negative events S Vanden Broucke, J De Weerdt, J Vanthienen, B Baesens IEEE Transactions on Knowledge and Data Engineering, 2013 | 86 | 2013 |
| Benchmarking sampling techniques for imbalance learning in churn prediction B Zhu, B Baesens, A Backiel, SKLM vanden Broucke Journal of the Operational Research Society, 1-17, 2017 | 64 | 2017 |
| A guide for the application of analytics on healthcare processes: A dynamic view on patient pathways J Lismont, AS Janssens, I Odnoletkova, S vanden Broucke, F Caron, ... Computers in Biology and Medicine 77, 125-134, 2016 | 58 | 2016 |
| Isolation-based conditional anomaly detection on mixed-attribute data to uncover workers' compensation fraud E Stripling, B Baesens, B Chizi, S vanden Broucke Decision Support Systems 111, 13-26, 2018 | 54 | 2018 |
| Practical Web scraping for data science S Vanden Broucke, B Baesens Apress, 2018 | 52 | 2018 |
| Event-based real-time decomposed conformance analysis SKLM vanden Broucke, J Munoz-Gama, J Carmona, B Baesens, ... OTM Confederated International Conferences" On the Move to Meaningful …, 2014 | 48 | 2014 |
| Towards a holistic discovery of decisions in process-aware information systems J De Smedt, F Hasić, SKLM vanden Broucke, J Vanthienen Business Process Management: 15th International Conference, BPM 2017 …, 2017 | 44 | 2017 |
| Predicting student success in a blended learning environment S Van Goidsenhoven, D Bogdanova, G Deeva, S Broucke, J De Weerdt, ... Proceedings of the Tenth International Conference on Learning Analytics …, 2020 | 43 | 2020 |
| A dynamic understanding of customer behavior processes based on clustering and sequence mining A Seret, SKLM vanden Broucke, B Baesens, J Vanthienen Expert Systems with Applications 41 (10), 4648-4657, 2014 | 43 | 2014 |
| Explaining clusterings of process instances P De Koninck, J De Weerdt, SKLM vanden Broucke Data Mining and Knowledge Discovery 31 (3), 774-808, 2017 | 42 | 2017 |
| Practical Web Scraping for Data Science: best practices and examples with Python SV Broucke, B Baesens Apress, 2018 | 41 | 2018 |
| A Comprehensive Benchmarking Framework (CoBeFra) for conformance analysis between procedural process models and event logs in ProM S vanden Broucke, J De Weerdt, B Baesens, J Vanthienen Proceedings of the IEEE Symposium on Computational Intelligence and Data …, 2013 | 40 | 2013 |
Jochen De WeerdtKU LeuvenVerified email at kuleuven.be
