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The increasing digitalization of banking services has led to a surge in financial fraud, necessitating advanced detection ...
This feature—Adaptive AI Anomaly Detection—automatically detects and identifies hidden, multi-dimensional data anomalies and patterns that a human may miss, improving business operations and AI agent ...
We address common misconceptions about capital flow data and discuss differences between high-frequency proxies for portfolio flows. In a nowcasting “horse race” we show that high-frequency proxies ...
Kisantal M, Wojna Z, Murawski J, et al. Augmentation for small object detection[J]. arXiv preprint arXiv:1902.07296, 2019. pdf Make sure the file "/augmentation_zoo ...
Abstract: Recently, salient object detection (SOD) methods have achieved impressive performance. However, salient regions predicted by existing methods usually contain unsaturated regions and shadows, ...
extract attack data word vectors, use them as the input of the relationship diagram convolution networks added to the attention mechanism, and learn attack feature word vectors. After further ...
The notifications will also include an opt-out link to a form where users can choose to object to their public data being collected for AI training. Meta said it will honor all objection forms it has ...
Sign up to receive important email messages about the Imagine RIT Festival this year, and future years, too (save-the-date announcement, event announcements, and post ...
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