Neuro-Symbolic Fraud Detection: Guiding Models with Rules
Tired of fraud detection models that lie? Learn how Neuro-Symbolic Fraud Detection uses differentiable domain rules to fix imbalanced datasets. Ahmad Wael dives into why standard BCE fails, how to implement rule-based loss in PyTorch, and why symmetric threshold evaluation is mandatory for any production-ready security architecture. Skip the performance theater.