| 2025 | BPM | Inter-case Informed Business Process Suffix Prediction Integrating Trace and Log Information. | Xiaomeng He, Johannes De Smedt, Seppe vanden Broucke, Jochen De Weerdt |
| 2024 | ICMLA | Learning from Uncertainty: Improving Churn Prediction using Conformal Confidence Intervals. | Yameng Guo, Seppe vanden Broucke |
| 2023 | BPM | DyLoPro: Profiling the Dynamics of Event Logs. | Brecht Wuyts, Hans Weytjens, Seppe vanden Broucke, Jochen De Weerdt |
| 2023 | ER | Discovering high-quality process models despite data scarcity. | Jan Niklas Adams, Jari Peeperkorn, Tobias Brockhoff, Isabelle Terrier, Heiko Ghner, Merih Seran Uysal, Seppe vanden Broucke, Jochen De Weerdt, Wil M. P. van der Aalst |
| 2023 | IJCAI | An Evolutionary Geospatial Regression Tree. | Margot Geerts, Seppe vanden Broucke, Jochen De Weerdt |
| 2023 | IJCAI | Geospatial Prediction Using Road Topology: A Graph-based Perspective. | Yameng Guo, Seppe vanden Broucke |
| 2023 | RE | Toward Data Protection by Design: Assessing the Current State of GDPR Disclosure in Web Applications. | Abdel-Jaouad Aberkane, Seppe vanden Broucke, Geert Poels |
| 2022 | ICPM | Outcome-Oriented Predictive Process Monitoring on Positive and Unlabelled Event Logs. | Jari Peeperkorn, Carlos Ortega Vzquez, Alexander Stevens, Johannes De Smedt, Seppe vanden Broucke, Jochen De Weerdt |
| 2022 | IJCAI | A framework for encoding the multi-location load state of a business process. | Bjrn Rafn Gunnarsson, Jochen De Weerdt, Seppe vanden Broucke |
| 2022 | RCIS | Predicting the State of a House Using Google Street View - An Analysis of Deep Binary Classification Models for the Assessment of the Quality of Flemish Houses. | Margot Geerts, Kiran Shaikh, Jochen De Weerdt, Seppe vanden Broucke |
| 2021 | ICPM | Can Deep Neural Networks Learn Process Model Structure? An Assessment Framework and Analysis. | Jari Peeperkorn, Seppe vanden Broucke, Jochen De Weerdt |
| 2020 | BPM | Conformance Checking Using Activity and Trace Embeddings. | Jari Peeperkorn, Seppe vanden Broucke, Jochen De Weerdt |
| 2020 | ICPM | Supervised Conformance Checking Using Recurrent Neural Network Classifiers. | Jari Peeperkorn, Seppe vanden Broucke, Jochen De Weerdt |
| 2020 | LAK | Predicting student success in a blended learning environment. | Steven Van Goidsenhoven, Daria Bogdanova, Galina Deeva, Seppe vanden Broucke, Jochen De Weerdt, Monique Snoeck |
| 2020 | WorldCIST | A Comparative Study of Representation Learning Techniques for Dynamic Networks. | Carlos Ortega Vzquez, Sandra Mitrovic, Jochen De Weerdt, Seppe vanden Broucke |
| 2019 | ICDM | Optimizing Marketing Campaign Targeting Using Uncertainty-Based Predictive Modelling. | Bjrn Rafn Gunnarsson, Seppe vanden Broucke, Jochen De Weerdt |
| 2018 | BPM | act2vec, trace2vec, log2vec, and model2vec: Representation Learning for Business Processes. | Pieter De Koninck, Seppe vanden Broucke, Jochen De Weerdt |
| 2017 | CaiSE | An Approach for Incorporating Expert Knowledge in Trace Clustering. | Pieter De Koninck, Klaas Nelissen, Bart Baesens, Seppe vanden Broucke, Monique Snoeck, Jochen De Weerdt |
| 2015 | DSAA | Profit maximizing logistic regression modeling for customer churn prediction. | Eugen Stripling, Seppe vanden Broucke, Katrien Antonio, Bart Baesens, Monique Snoeck |
| 2013 | BPM | Volvo IT Belgium VINST. | Seppe vanden Broucke, Jan Vanthienen, Bart Baesens |