Scalable and Imbalance-Resistant Machine Learning Models for Anti-money Laundering: A Two-Layered Approach - researchr publication authors

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Pavlo Tertychnyi, Ivan Slobozhan, Madis Ollikainen, Marlon Dumas. Scalable and Imbalance-Resistant Machine Learning Models for Anti-money Laundering: A Two-Layered Approach. In Benjamin Clapham, Jascha-Alexander Koch, editors, Enterprise Applications, Markets and Services in the Finance Industry - 10th International Workshop, FinanceCom 2020, Helsinki, Finland, August 18, 2020, Revised Selected Papers. Volume 401 of Lecture Notes in Business Information Processing, pages 43-58, Springer, 2020. [doi]

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