| 2025 | EMNLP | Are Economists Always More Introverted? Analyzing Consistency in Persona-Assigned LLMs. | Manon Reusens, Bart Baesens, David Jurgens |
| 2025 | IJCNLP | Native Design Bias: Studying the Impact of English Nativeness on Language Model Performance. | Manon Reusens, Philipp Borchert, Jochen De Weerdt, Bart Baesens |
| 2025 | SDM | End-To-End Self-Tuning Self-Supervised Time Series Anomaly Detection. | Boje Deforce, Meng-Chieh Lee, Bart Baesens, Estefana Serral Asensio, Jaemin Yoo, Leman Akoglu |
| 2024 | CoopIS | IML4DQ: Interactive Machine Learning for Data Quality with Applications in Credit Risk. | Elena Tiukhova, Adriano Salcuni, Can Oguz, Fabio Forte, Bart Baesens, Monique Snoeck |
| 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 | EMNLP | SEER : A Knapsack approach to Exemplar Selection for In-Context HybridQA. | Jonathan Tonglet, Manon Reusens, Philipp Borchert, Bart Baesens |
| 2023 | ER | Learning analytics tells: Know your basics and go to class. | Elena Tiukhova, Charlotte Verbruggen, Bart Baesens, Monique Snoeck |
| 2022 | RCIS | Benchmarking Conventional Outlier Detection Methods. | Elena Tiukhova, Manon Reusens, Bart Baesens, Monique Snoeck |
| 2018 | ICIS | Credit Scoring for Good: Enhancing Financial Inclusion with Smartphone-Based Microlending. | Mara skarsdttir, Cristin Bravo, Carlos Sarraute, Bart Baesens, Jan Vanthienen |
| 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 |
| 2015 | DSAA | Profit maximizing logistic regression modeling for customer churn prediction. | Eugen Stripling, Seppe vanden Broucke, Katrien Antonio, Bart Baesens, Monique Snoeck |
| 2014 | BPM | Towards Location-Aware Process Modeling and Execution. | Xinwei Zhu, Guobin Zhu, Seppe K. L. M. vanden Broucke, Jan Vanthienen, Bart Baesens |
| 2014 | CEC | Declarative process discovery with evolutionary computing. | Seppe K. L. M. vanden Broucke, Jan Vanthienen, Bart Baesens |
| 2014 | ICAISC | Mining Telecommunication Networks to Enhance Customer Lifetime Predictions. | Aime Backiel, Bart Baesens, Gerda Claeskens |
| 2013 | BPM | Validating and Enhancing Declarative Business Process Models Based on Allowed and Non-occurring Past Behavior. | Seppe K. L. M. vanden Broucke, Filip Caron, Jan Vanthienen, Bart Baesens |
| 2013 | BPM | Uncovering the Relationship Between Event Log Characteristics and Process Discovery Techniques. | Seppe K. L. M. vanden Broucke, Cdric Delvaux, Joo Freitas, Taisiia Rogova, Jan Vanthienen, Bart Baesens |
| 2013 | BPM | Volvo IT Belgium VINST. | Seppe vanden Broucke, Jan Vanthienen, Bart Baesens |
| 2013 | BPM | An Exploratory Approach for Understanding Customer Behavior Processes Based on Clustering and Sequence Mining. | Alex Seret, Seppe K. L. M. vanden Broucke, Bart Baesens, Jan Vanthienen |
| 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 |
| 2013 | EDOC | Business Rule Patterns and Their Application to Process Analytics. | Filip Caron, Jan Vanthienen, Bart Baesens |
| 2013 | ICIS | Using social network data to predict technology acceptance. | Libo Li, Frank Goethals, Antonio Giangreco, 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 |
| 2010 | ICTAI | Software Effort Prediction Using Regression Rule Extraction from Neural Networks. | Rudy Setiono, Karel Dejaeger, Wouter Verbeke, David Martens, Bart Baesens |
| 2007 | BPM | Process Mining as First-Order Classification Learning on Logs with Negative Events. | Stijn Goedertier, David Martens, Bart Baesens, Raf Haesen, Jan Vanthienen |
| 2006 | DaWaK | ITER: An Algorithm for Predictive Regression Rule Extraction. | Johan Huysmans, Bart Baesens, Jan Vanthienen |
| 2006 | ICIS | Risk Management and Regulatory Compliance: A Data Mining Framework Based on Neural Network Rule Extraction. | Rudy Setiono, Christophe Mues, Bart Baesens |
| 2004 | DIAGRAMS | Decision Diagrams in Machine Learning: An Empirical Study on Real-Life Credit-Risk Data. | Christophe Mues, Bart Baesens, Craig M. Files, Jan Vanthienen |
| 2002 | ICPR | Learning Bayesian Network Classifiers for Credit Scoring Using Markov Chain Monte Carlo Search. | Bart Baesens, Michael Egmont-Petersen, Robert Castelo, Jan Vanthienen |
| 2001 | ICIS | Building Credit-Risk Evaluation Expert Systems Using Neural Network Rule Extraction and Decision Tables. | Bart Baesens, Rudy Setiono, Christophe Mues, Stijn Viaene, Jan Vanthienen |
| 2000 | ICPR | Wrapped Feature Selection by Means of Guided Neural Network Optimization. | Bart Baesens, Stijn Viaene, Jan Vanthienen, Guido Dedene |
| 2000 | KES | An empirical assessment of kernel type performance for least squares support vector machine classifiers. | Bart Baesens, Stijn Viaene, Tony Van Gestel, Johan A. K. Suykens, Guido Dedene, Bart De Moor, Jan Vanthienen |