| Cash flow prediction: MLP and LSTM compared to ARIMA and Prophet H Weytjens, E Lohmann, M Kleinsteuber Electronic Commerce Research 21 (2), 371-391, 2021 | 94 | 2021 |
| Process outcome prediction: CNN vs. LSTM (with attention) H Weytjens, J De Weerdt Business Process Management Workshops: BPM 2020 International Workshops …, 2020 | 59 | 2020 |
| Learning uncertainty with artificial neural networks for predictive process monitoring H Weytjens, J De Weerdt Applied Soft Computing 125, 109134, 2022 | 19 | 2022 |
| Creating unbiased public benchmark datasets with data leakage prevention for predictive process monitoring H Weytjens, J De Weerdt International Conference on Business Process Management, 18-29, 2021 | 14 | 2021 |
| Learning uncertainty with artificial neural networks for improved remaining time prediction of business processes H Weytjens, J De Weerdt International Conference on Business Process Management, 141-157, 2021 | 8 | 2021 |
| Dylopro: Profiling the dynamics of event logs B Wuyts, H Weytjens, S vanden Broucke, J De Weerdt International Conference on Business Process Management, 146-162, 2023 | 2 | 2023 |
| Timing Process Interventions with Causal Inference and Reinforcement Learning H Weytjens, W Verbeke, J De Weerdt arXiv preprint arXiv:2306.04299, 2023 | 1 | 2023 |
| Timed Process Interventions: Causal Inference vs. Reinforcement Learning H Weytjens, W Verbeke, J De Weerdt International Conference on Business Process Management, 245-258, 2023 | | 2023 |
| Machine Learning for Predictive and Prescriptive Process Monitoring H Weytjens, J De Weerdt | | 2023 |
