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The role of diversity and ensemble learning in credit card fraud detection., , , , , , and . Adv. Data Anal. Classif., 18 (1): 193-217 (March 2024)Towards Refined Classifications Driven by SHAP Explanations., , , , , , , , and . CD-MAKE, volume 13480 of Lecture Notes in Computer Science, page 68-81. Springer, (2022)Transfer Learning Strategies for Credit Card Fraud Detection., , , , , and . IEEE Access, (2021)Incremental learning strategies for credit cards fraud detection: Extended abstract., , , , , and . DSAA, page 785-786. IEEE, (2020)An experimental study of graph-based semi-supervised classification with additional node information., and . Knowl. Inf. Syst., 62 (11): 4337-4371 (2020)Transfer Learning for Credit Card Fraud Detection: A Journey from Research to Production., , , , , , , and . CoRR, (2021)Incremental learning strategies for credit cards fraud detection., , , , , and . Int. J. Data Sci. Anal., 12 (2): 165-174 (2021)Understanding Telecom Customer Churn with Machine Learning: From Prediction to Causal Inference., , , , and . BNAIC/BENELEARN (Selected Papers), volume 1196 of Communications in Computer and Information Science, page 182-200. Springer, (2019)Comparing MultiLingual and Multiple MonoLingual Models for Intent Classification and Slot Filling., , , , , and . NLDB, volume 12801 of Lecture Notes in Computer Science, page 367-375. Springer, (2021)AST-MTL: An Attention-Based Multi-Task Learning Strategy for Traffic Forecasting., , and . IEEE Access, (2021)