Process Outcome Prediction: CNN vs. LSTM (with Attention). - Hans Weytjens; Jochen De Weerdt (Business Process Management Workshops, 2020)

Learning Uncertainty with Artificial Neural Networks for Improved Remaining Time Prediction of Business Processes. - Hans Weytjens; Jochen De Weerdt (BPM, 2021)

Creating Unbiased Public Benchmark Datasets with Data Leakage Prevention for Predictive Process Monitoring. - Hans Weytjens; Jochen De Weerdt (Business Process Management Workshops, 2021)

Cash flow prediction: MLP and LSTM compared to ARIMA and Prophet. - Hans Weytjens; Enrico Lohmann; Martin Kleinsteuber (Electron. Commer. Res., 2021)

Learning uncertainty with artificial neural networks for predictive process monitoring. - Hans Weytjens; Jochen De Weerdt (Appl. Soft Comput., 2022)

Learning Uncertainty with Artificial Neural Networks for Improved Predictive Process Monitoring. - Hans Weytjens; Jochen De Weerdt (CoRR, 2022)

Timed Process Interventions: Causal Inference vs. Reinforcement Learning. - Hans Weytjens; Wouter Verbeke; Jochen De Weerdt (Business Process Management Workshops, 2023)

DyLoPro: Profiling the Dynamics of Event Logs. - Brecht Wuyts; Hans Weytjens; Seppe vanden Broucke; Jochen De Weerdt (BPM, 2023)

Timing Process Interventions with Causal Inference and Reinforcement Learning. - Hans Weytjens; Wouter Verbeke; Jochen De Weerdt (CoRR, 2023)

RAGOps: Operating and Managing Retrieval-Augmented Generation Pipelines. - Xiwei Xu 001; Hans Weytjens; Dawen Zhang; Qinghua Lu 001; Ingo Weber; Liming Zhu 001 (CoRR, 2025)

SimBank: from Simulation to Solution in Prescriptive Process Monitoring. - Jakob De Moor; Hans Weytjens; Johannes De Smedt; Jochen De Weerdt (CoRR, 2025)

On LLM-Assisted Generation of Smart Contracts from Business Processes. - Fabian Stiehle; Hans Weytjens; Ingo Weber (CoRR, 2025)