output
20202026
most citedControl-flow anomaly detection by process mining-based feature extraction and dimensionality reduction

11 citations

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cs.LG2025★ 11 cited

Control-flow anomaly detection by process mining-based feature extraction and dimensionality reduction

Francesco Vitale, Marco Pegoraro, Wil M. P. van der Aalst +1

The business processes of organizations may deviate from normal control flow due to disruptive anomalies, including unknown, skipped, and wrongly-ordered activities. To identify th…

cs.LG2020★ 3 cited

EVO-RL: Evolutionary-Driven Reinforcement Learning

Ahmed Hallawa, Thorsten Born, Anke Schmeink +6

In this work, we propose a novel approach for reinforcement learning driven by evolutionary computation. Our algorithm, dubbed as Evolutionary-Driven Reinforcement Learning (evo-RL…