Search Results for author: Hans Weytjens

Found 5 papers, 2 papers with code

Timing Process Interventions with Causal Inference and Reinforcement Learning

no code implementations7 Jun 2023 Hans Weytjens, Wouter Verbeke, Jochen De Weerdt

Our contribution consists of experiments on timed process interventions with synthetic data that renders genuine online RL and the comparison to CI possible, and allows for an accurate evaluation of the results.

Causal Inference reinforcement-learning +1

Learning Uncertainty with Artificial Neural Networks for Improved Predictive Process Monitoring

1 code implementation13 Jun 2022 Hans Weytjens, Jochen De Weerdt

The inability of artificial neural networks to assess the uncertainty of their predictions is an impediment to their widespread use.

Predictive Process Monitoring

Creating Unbiased Public Benchmark Datasets with Data Leakage Prevention for Predictive Process Monitoring

no code implementations5 Jul 2021 Hans Weytjens, Jochen De Weerdt

Often the training and test sets are not completely separated, a data leakage problem particular to predictive process monitoring.

Predictive Process Monitoring

Process Outcome Prediction: CNN vs. LSTM (with Attention)

no code implementations14 Apr 2021 Hans Weytjens, Jochen De Weerdt

Attention is another technique that, in combination with LSTMs, has found application in time series classification and was included in our research.

General Classification Time Series +2

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