Bart Baesens

Full Professor, Faculty of Economics and Business, KU Leuven

Joined

June 2023

Names

Bart Baesens (Preferred)

Emails

****@kuleuven.be (Confirmed)

Personal Links

Career & Education History

Full Professor

Faculty of Economics and Business, KU Leuven (kuleuven.be)

1998 – Present

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

Advances in Continual Graph Learning for Anti-Money Laundering Systems: A Comprehensive Review
Bruno Deprez, Wei Wei, Wouter Verbeke, Bart Baesens, Kevin Mets, Tim Verdonck
- CoRR 2025
- Readers: Everyone
Deep multi-task learning for stem water potential prediction : Actionable guidelines
Boje Deforce, Bart Baesens, Jan Diels, Pieter Janssens, Luis Bonet Pérez de León, Estefanía Serral Asensio
- Comput. Electron. Agric. 2025
- Readers: Everyone
Enhancing explainability in real-world scenarios: Towards a robust stability measure for local interpretability
Eduardo Sepúlveda, Félix Vandervorst, Bart Baesens, Tim Verdonck
- Expert Syst. Appl. 2025
- Readers: Everyone
TSA on AutoPilot: Self-tuning Self-supervised Time Series Anomaly Detection
Boje Deforce, Meng-Chieh Lee, Bart Baesens, Estefanía Serral Asensio, Jaemin Yoo, Leman Akoglu
- NeurIPS 2024 Workshop SSL
- Readers: Everyone
Special issue on feature engineering editorial
Tim Verdonck, Bart Baesens, María Óskarsdóttir, Seppe vanden Broucke
- Mach. Learn. 2024
- Readers: Everyone
Interpretable and Accurate Identification of Job Seekers at Risk of Long-Term Unemployment: Explainable ML-Based Profiling
Wouter Dossche, Sarah Vansteenkiste, Bart Baesens, Wilfried Lemahieu
- SN Comput. Sci. 2024
- Readers: Everyone
Time-Series Foundation Models for Forecasting Soil Moisture Levels in Smart Agriculture
Boje Deforce, Bart Baesens, Estefanía Serral
- Fragile Earth FullPresentation
- Readers: Everyone
INFLECT-DGNN: Influencer Prediction With Dynamic Graph Neural Networks
Elena Tiukhova, Emiliano Penaloza, María Óskarsdóttir, Bart Baesens, Monique Snoeck, Cristián Bravo
- IEEE Access 2024
- Readers: Everyone
Network Analytics for Anti-Money Laundering - A Systematic Literature Review and Experimental Evaluation
Bruno Deprez, Toon Vanderschueren, Bart Baesens, Tim Verdonck, Wouter Verbeke
- CoRR 2024
- Readers: Everyone
Native Design Bias: Studying the Impact of English Nativeness on Language Model Performance
Manon Reusens, Philipp Borchert, Jochen De Weerdt, Bart Baesens
- CoRR 2024
- Readers: Everyone

View all 237 publications

Co-Authors

View all 223 co-authors