When AI-driven detection underperforms, the instinct is to tune the algorithm, retrain the model or push the vendor for a ...

Abstract: Financial transactions' growing quantities and complexity require improved anomaly detection techniques to fight fraud. This paper looks at the application of self-enclosure neural networks ...

Abstract: Weakly-supervised video anomaly detection (WSVAD) performs frame-level anomaly detection using only video-level labels. However, existing methods mainly rely on visual data, ignoring ...

Principal Data Engineer Rajesh Mattaparthi is using transformer-based AI to detect hidden faults in standby power generators ...