7 papers
David vs. Goliath in Next Activity Prediction: Argmax vs. LSTM, Transformer, and LLM
Hans Weytjens, Ingo Weber
Next activity prediction (NAP) is a cornerstone of predictive process monitoring (PPM), enabling organizations to move from retrospective analysis to proactive process steering. Th…
SCOPE: Sequential Causal Optimization of Process Interventions
Jakob De Moor, Hans Weytjens, Johannes De Smedt +1
Prescriptive Process Monitoring (PresPM) recommends interventions during running business processes to optimize key performance indicators (KPIs). In realistic settings, interventi…
Uncertainty in Machine Learning
Hans Weytjens, Wouter Verbeke
This book chapter introduces the principles and practical applications of uncertainty quantification in machine learning. It explains how to identify and distinguish between differ…
ProCause: Generating Counterfactual Outcomes to Evaluate Prescriptive Process Monitoring Methods
Jakob De Moor, Hans Weytjens, Johannes De Smedt
Prescriptive Process Monitoring (PresPM) is the subfield of Process Mining that focuses on optimizing processes through real-time interventions based on event log data. Evaluating…
On LLM-Assisted Generation of Smart Contracts from Business Processes
Fabian Stiehle, Hans Weytjens, Ingo Weber
Large language models (LLMs) have changed the reality of how software is produced. Within the wider software engineering community, among many other purposes, they are explored for…
SimBank: from Simulation to Solution in Prescriptive Process Monitoring
Jakob De Moor, Hans Weytjens, Johannes De Smedt +1
Prescriptive Process Monitoring (PresPM) is an emerging area within Process Mining, focused on optimizing processes through real-time interventions for effective decision-making. P…