Graph-based spatio-temporal models built from aggregated crypto market data detect pump-and-dump schemes more effectively than standard machine learning baselines.
Random forests,
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A feature engineering method for ad event prediction is claimed to outperform alternatives on a real-world marketing campaign dataset.
citing papers explorer
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Fraud Detection in Cryptocurrency Markets with Spatio-Temporal Graph Neural Networks
Graph-based spatio-temporal models built from aggregated crypto market data detect pump-and-dump schemes more effectively than standard machine learning baselines.
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An Enhanced Ad Event-Prediction Method Based on Feature Engineering
A feature engineering method for ad event prediction is claimed to outperform alternatives on a real-world marketing campaign dataset.