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cs.LG2026
SOHET: Sequence Of Heterogeneous Events Transformer with Self-Supervised Pre-Training
Kees Jan de Vries, Mustafa Radha, Mathijs de Jong
Many machine learning applications rely on heterogeneous event streams to make predictions, either causally as events arrive or bidirectionally over complete sequences. We propose…
cs.LG2021
Machine Learning for Fraud Detection in E-Commerce: A Research Agenda
Niek Tax, Kees Jan de Vries, Mathijs de Jong +5
Fraud detection and prevention play an important part in ensuring the sustained operation of any e-commerce business. Machine learning (ML) often plays an important role in these a…