Baesens, Bart

9 publications

ECML-PKDD 2025 On the Performance of LLMs for Real Estate Appraisal Margot Geerts, Manon Reusens, Bart Baesens, Seppe vanden Broucke, Jochen De Weerdt

MLJ 2024 Special Issue on Feature Engineering Editorial Tim Verdonck, Bart Baesens, María Óskarsdóttir, Seppe vanden Broucke

NeurIPSW 2024 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

CoLLAs 2023 MultiMix TFT: A Multi-Task Mixed-Frequency Framework with Temporal Fusion Transformers Boje Deforce, Bart Baesens, Jan Diels, Estefanía Serral Asensio

NeurIPSW 2022 Influencer Detection with Dynamic Graph Neural Networks Elena Tiukhova, Emiliano Penaloza, María Óskarsdóttir, Hernan Garcia, Alejandro Correa Bahnsen, Bart Baesens, Monique Snoeck, Cristián Bravo

ICMLW 2022 Optimizing Maintenance by Learning Individual Treatment Effects Toon Vanderschueren, Robert Boute, Tim Verdonck, Bart Baesens, Wouter Verbeke

MLJ 2011 Editorial Survey: Swarm Intelligence for Data Mining David Martens, Bart Baesens, Tom Fawcett

JMLR 2009 Robust Process Discovery with Artificial Negative Events Stijn Goedertier, David Martens, Jan Vanthienen, Bart Baesens

MLJ 2004 Benchmarking Least Squares Support Vector Machine Classifiers Tony Van Gestel, Johan A. K. Suykens, Bart Baesens, Stijn Viaene, Jan Vanthienen, Guido Dedene, Bart De Moor, Joos Vandewalle