| 2026 | CaiSE | Time Series Foundation Models for Process Model Forecasting. | Yongbo Yu, Jari Peeperkorn, Johannes De Smedt, Jochen De Weerdt |
| 2025 | ACL | Language Fusion for Parameter-Efficient Cross-lingual Transfer. | Philipp Borchert, Ivan Vulic, Marie-Francine Moens, Jochen De Weerdt |
| 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 |
| 2025 | BPM | Linking Actor Behavior to Process Performance over Time. | Aurlie Leribaux, Rafael Seidi Oyamada, Johannes De Smedt, Zahra Dasht Bozorgi, Artem Polyvyanyy, Jochen De Weerdt |
| 2025 | BPM | SimBank: From Simulation to Solution in Prescriptive Process Monitoring. | Jakob De Moor, Hans Weytjens, Johannes De Smedt, Jochen De Weerdt |
| 2025 | IJCNLP | Native Design Bias: Studying the Impact of English Nativeness on Language Model Performance. | Manon Reusens, Philipp Borchert, Jochen De Weerdt, Bart Baesens |
| 2024 | ICPM | SuTraN: an Encoder-Decoder Transformer for Full-Context-Aware Suffix Prediction of Business Processes. | Brecht Wuyts, Seppe K. L. M. vanden Broucke, Jochen De Weerdt |
| 2024 | ICPM | CaLenDiR: Mitigating Case-Length Distortion in Deep-Learning-Based Predictive Process Monitoring. | Brecht Wuyts, Seppe K. L. M. vanden Broucke, Jochen De Weerdt |
| 2024 | ICPM | Multivariate Approaches for Process Model Forecasting. | Yongbo Yu, Jari Peeperkorn, Johannes De Smedt, Jochen De Weerdt |
| 2024 | NAACL | Efficient Information Extraction in Few-Shot Relation Classification through Contrastive Representation Learning. | Philipp Borchert, Jochen De Weerdt, Marie-Francine Moens |
| 2023 | BPM | A Novel Multi-perspective Trace Clustering Technique for IoT-Enhanced Processes: A Case Study in Smart Manufacturing. | Yannis Bertrand, Jochen De Weerdt, Estefana Serral |
| 2023 | BPM | Timed Process Interventions: Causal Inference vs. Reinforcement Learning. | Hans Weytjens, Wouter Verbeke, Jochen De Weerdt |
| 2023 | BPM | DyLoPro: Profiling the Dynamics of Event Logs. | Brecht Wuyts, Hans Weytjens, Seppe vanden Broucke, Jochen De Weerdt |
| 2023 | EMNLP | CORE: A Few-Shot Company Relation Classification Dataset for Robust Domain Adaptation. | Philipp Borchert, Jochen De Weerdt, Kristof Coussement, Arno De Caigny, Marie-Francine Moens |
| 2023 | EMNLP | Investigating Bias in Multilingual Language Models: Cross-Lingual Transfer of Debiasing Techniques. | Manon Reusens, Philipp Borchert, Margot Mieskes, Jochen De Weerdt, Bart Baesens |
| 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 | ICMLA | Vector Representation for Business Process: Graph Embedding for Domain Knowledge Integration. | Thais Rodrigues Neubauer, Jari Peeperkorn, Sarajane Marques Peres, Jochen De Weerdt, Marcelo Fantinato |
| 2023 | ICPM | Manifold Learning for Adversarial Robustness in Predictive Process Monitoring. | Alexander Stevens, Jari Peeperkorn, Johannes De Smedt, Jochen De Weerdt |
| 2023 | IJCAI | An Evolutionary Geospatial Regression Tree. | Margot Geerts, Seppe vanden Broucke, Jochen De Weerdt |
| 2022 | BPM | Assessing the Suitability of Traditional Event Log Standards for IoT-Enhanced Event Logs. | Yannis Bertrand, Jochen De Weerdt, Estefana Serral |
| 2022 | ICPM | Defining Data Quality Issues in Process Mining with IoT Data. | Yannis Bertrand, Rafal Van Belle, Jochen De Weerdt, Estefana Serral |
| 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 | ICPM | Assessing the Robustness in Predictive Process Monitoring through Adversarial Attacks. | Alexander Stevens, Johannes De Smedt, Jari Peeperkorn, 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 | BPM | Learning Uncertainty with Artificial Neural Networks for Improved Remaining Time Prediction of Business Processes. | Hans Weytjens, Jochen De Weerdt |
| 2021 | BPM | Creating Unbiased Public Benchmark Datasets with Data Leakage Prevention for Predictive Process Monitoring. | Hans Weytjens, Jochen De Weerdt |
| 2021 | CaiSE | Supporting Data-Aware Processes with MERODE. | Monique Snoeck, Johannes De Smedt, Jochen De Weerdt |
| 2021 | ER | Process Model Forecasting Using Time Series Analysis of Event Sequence Data. | Johannes De Smedt, Anton Yeshchenko, Artem Polyvyanyy, Jochen De Weerdt, Jan Mendling |
| 2021 | ICPM | A Bridging Model for Process Mining and IoT. | Yannis Bertrand, Jochen De Weerdt, Estefana Serral |
| 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 | BPM | Process Outcome Prediction: CNN vs. LSTM (with Attention). | Hans Weytjens, 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 | BPM | Predictive Process Monitoring in Operational Logistics: A Case Study in Aviation. | Bjrn Rafn Gunnarsson, Seppe K. L. M. vanden Broucke, Jochen De Weerdt |
| 2019 | ICDM | Optimizing Marketing Campaign Targeting Using Uncertainty-Based Predictive Modelling. | Bjrn Rafn Gunnarsson, Seppe vanden Broucke, Jochen De Weerdt |
| 2019 | ICPM | Scalable Mixed-Paradigm Trace Clustering using Super-Instances. | Pieter De Koninck, Jochen De Weerdt |
| 2018 | BPM | Understanding Automated Feedback in Learning Processes by Mining Local Patterns. | Galina Deeva, 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 | BPM | Dropout Prediction in MOOCs: A Comparison Between Process and Sequence Mining. | Galina Deeva, Johannes De Smedt, Pieter De Koninck, 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 |
| 2017 | DSAA | Scalable RFM-enriched Representation Learning for Churn Prediction. | Sandra Mitrovic, Gaurav Singh, Bart Baesens, Wilfried Lemahieu, Jochen De Weerdt |
| 2016 | BPM | A Stability Assessment Framework for Process Discovery Techniques. | Pieter De Koninck, Jochen De Weerdt |
| 2016 | BPM | Multi-objective Trace Clustering: Finding More Balanced Solutions. | Pieter De Koninck, Jochen De Weerdt |
| 2016 | CaiSE | Improving Understandability of Declarative Process Models by Revealing Hidden Dependencies. | Johannes De Smedt, Jochen De Weerdt, Estefana Serral, Jan Vanthienen |
| 2016 | RCIS | Automating immediate and personalized feedback taking conceptual modelling education to a next level. | Estefana Serral, Jochen De Weerdt, Gayane Sedrakyan, Monique Snoeck |
| 2015 | BPM | Gamification of Declarative Process Models for Learning and Model Verification. | Johannes De Smedt, Jochen De Weerdt, Estefana Serral, Jan Vanthienen |
| 2014 | BPM | SECPI: Searching for Explanations for Clustered Process Instances. | Jochen De Weerdt, Seppe K. L. M. vanden Broucke |
| 2014 | BPM | Bidimensional Process Discovery for Mining BPMN Models. | Jochen De Weerdt, Seppe K. L. M. vanden Broucke, Filip Caron |
| 2014 | CEC | Perturbing event logs to identify cost reduction opportunities: A genetic algorithm-based approach. | Wei Zhe Low, Jochen De Weerdt, Moe Thandar Wynn, Arthur H. M. ter Hofstede, Wil M. P. van der Aalst, Seppe K. L. M. vanden Broucke |
| 2013 | BPM | Report: Business Process Intelligence Challenge 2013. | Boudewijn F. van Dongen, Barbara Weber, Diogo R. Ferreira, Jochen De Weerdt |
| 2013 | CIDM | A comprehensive benchmarking framework (CoBeFra) for conformance analysis between procedural process models and event logs in ProM. | Seppe K. L. M. vanden Broucke, Jochen De Weerdt, Jan Vanthienen, Bart Baesens |
| 2012 | CaiSE | Improved Artificial Negative Event Generation to Enhance Process Event Logs. | Seppe K. L. M. vanden Broucke, Jochen De Weerdt, Bart Baesens, Jan Vanthienen |
| 2012 | CEC | Leveraging process discovery with trace clustering and text mining for intelligent analysis of incident management processes. | Jochen De Weerdt, Seppe K. L. M. vanden Broucke, Jan Vanthienen, Bart Baesens |
| 2012 | PAKDD | Getting a Grasp on Clinical Pathway Data: An Approach Based on Process Mining. | Jochen De Weerdt, Filip Caron, Jan Vanthienen, Bart Baesens |
| 2011 | BPM | Advanced Care-Flow Mining and Analysis. | Filip Caron, Jan Vanthienen, Jochen De Weerdt, Bart Baesens |
| 2011 | CIDM | A robust F-measure for evaluating discovered process models. | Jochen De Weerdt, Manu De Backer, Jan Vanthienen, Bart Baesens |
| 2010 | BPM | A Critical Evaluation Study of Model-Log Metrics in Process Discovery. | Jochen De Weerdt, Manu De Backer, Jan Vanthienen, Bart Baesens |