Martens, Timo

3 publications

ICML 2025 Compressing Tree Ensembles Through Level-Wise Optimization and Pruning Laurens Devos, Timo Martens, Deniz Can Oruc, Wannes Meert, Hendrik Blockeel, Jesse Davis

AISTATS 2025 Learning from Biased Positive-Unlabeled Data via Threshold Calibration Paweł Teisseyre, Timo Martens, Jessa Bekker, Jesse Davis

ECML-PKDD 2023 Semi-Supervised Learning from Active Noisy Soft Labels for Anomaly Detection Timo Martens, Lorenzo Perini, Jesse Davis