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Online Non-linear Gradient Boosting in Multi-latent Spaces.

, , , , and . IDA, volume 11191 of Lecture Notes in Computer Science, page 99-110. Springer, (2018)

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Multiple perspectives HMM-based feature engineering for credit card fraud detection., , , , , , and . SAC, page 1359-1361. ACM, (2019)Dataset Shift Quantification for Credit Card Fraud Detection., , , , , , and . AIKE, page 97-100. IEEE, (2019)Master Your Metrics with Calibration., , , , and . IDA, volume 12080 of Lecture Notes in Computer Science, page 457-469. Springer, (2020)Dual Sequential Variational Autoencoders for Fraud Detection., , , , and . IDA, volume 12080 of Lecture Notes in Computer Science, page 14-26. Springer, (2020)Online Non-linear Gradient Boosting in Multi-latent Spaces., , , , and . IDA, volume 11191 of Lecture Notes in Computer Science, page 99-110. Springer, (2018)Embeddings of Categorical Variables for Sequential Data in Fraud Context., , and . AMLTA, volume 723 of Advances in Intelligent Systems and Computing, page 542-552. Springer, (2018)Anomaly Detection, Consider Your Dataset First An Illustration on Fraud Detection., , , , , and . ICTAI, page 1351-1355. IEEE, (2019)NAG: Neural feature aggregation framework for credit card fraud detection., , , , and . ICDM, page 92-101. IEEE, (2020)Deep-Learning Domain Adaptation Techniques for Credit Cards Fraud Detection., , , , and . INNSBDDL, page 78-88. Springer, (2019)Non-Linear Gradient Boosting for Class-Imbalance Learning., , , and . LIDTA@ECML/PKDD, volume 94 of Proceedings of Machine Learning Research, page 38-51. PMLR, (2018)