Predictive Process Monitoring in Operational Logistics: A Case Study in Aviation. - Björn Rafn Gunnarsson; Seppe K. L. M. vanden Broucke; Jochen De Weerdt (Business Process Management Workshops, 2019)

Optimizing Marketing Campaign Targeting Using Uncertainty-Based Predictive Modelling. - Björn Rafn Gunnarsson; Seppe vanden Broucke; Jochen De Weerdt (ICDM Workshops, 2019)

Deep learning for credit scoring: Do or don't? - Björn Rafn Gunnarsson; Seppe vanden Broucke; Bart Baesens; María Óskarsdóttir; Wilfried Lemahieu (Eur. J. Oper. Res., 2021)

A framework for encoding the multi-location load state of a business process. - Björn Rafn Gunnarsson; Jochen De Weerdt; Seppe vanden Broucke (PMAI@IJCAI, 2022)

A Direct Data Aware LSTM Neural Network Architecture for Complete Remaining Trace and Runtime Prediction. - Björn Rafn Gunnarsson; Seppe vanden Broucke; Jochen De Weerdt (IEEE Trans. Serv. Comput., 2023)

LS-ICE: A Load State Intercase Encoding framework for improved predictive monitoring of business processes. - Björn Rafn Gunnarsson; Seppe vanden Broucke; Jochen De Weerdt (Inf. Syst., 2024)