Research on Modeling of the Imbalanced Fraudulent Transaction Detection Problem Based on Embedding-Aware Conditional GAN

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Research on Modeling of the Imbalanced Fraudulent Transaction Detection Problem Based on Embedding-Aware Conditional GAN

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An intelligent sequential fraud detection model based on deep learning
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Real-time abnormality detection and classification in diesel engine operations with convolutional neural network
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Nanosecond anomaly detection with decision trees and real-time application to exotic Higgs decays
  • Apr 25, 2024
  • Nature Communications
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Investigation on the stability of SMOTE-based oversampling techniques in software defect prediction
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  • Information and Software Technology
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Deep Isolation Forest for Anomaly Detection
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  • IEEE Transactions on Knowledge and Data Engineering
  • Hongzuo Xu + 3 more

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A novel method for detecting credit card fraud problems.
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  • PLOS ONE
  • Haichao Du + 3 more

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Sequential Anomaly Detection Under Sampling Constraints
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  • IEEE Transactions on Information Theory
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GP-ELM-RNN: Garson-pruned extreme learning machine based replicator neural network for anomaly detection
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  • Journal of King Saud University - Computer and Information Sciences
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Using generative adversarial networks for improving classification effectiveness in credit card fraud detection
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