41 citations · 42 across the 2 of their papers we have counts for
3 papers
cs.AI2021★ 1 cited
Creating Unbiased Public Benchmark Datasets with Data Leakage Prevention for Predictive Process Monitoring
Hans Weytjens, Jochen De Weerdt
Advances in AI, and especially machine learning, are increasingly drawing research interest and efforts towards predictive process monitoring, the subfield of process mining (PM) t…
cs.LG2021
Learning Uncertainty with Artificial Neural Networks for Improved Remaining Time Prediction of Business Processes
Hans Weytjens, Jochen De Weerdt
Artificial neural networks will always make a prediction, even when completely uncertain and regardless of the consequences. This obliviousness of uncertainty is a major obstacle t…
cs.LG2021★ 41 cited
Process Outcome Prediction: CNN vs. LSTM (with Attention)
Hans Weytjens, Jochen De Weerdt
The early outcome prediction of ongoing or completed processes confers competitive advantage to organizations. The performance of classic machine learning and, more recently, deep…