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]
@inproceedings{TertychnyiSOD20,
title = {Scalable and Imbalance-Resistant Machine Learning Models for Anti-money Laundering: A Two-Layered Approach},
author = {Pavlo Tertychnyi and Ivan Slobozhan and Madis Ollikainen and Marlon Dumas},
year = {2020},
doi = {10.1007/978-3-030-64466-6_3},
url = {https://doi.org/10.1007/978-3-030-64466-6_3},
researchr = {https://researchr.org/publication/TertychnyiSOD20},
cites = {0},
citedby = {0},
pages = {43-58},
booktitle = {Enterprise Applications, Markets and Services in the Finance Industry - 10th International Workshop, FinanceCom 2020, Helsinki, Finland, August 18, 2020, Revised Selected Papers},
editor = {Benjamin Clapham and Jascha-Alexander Koch},
volume = {401},
series = {Lecture Notes in Business Information Processing},
publisher = {Springer},
isbn = {978-3-030-64466-6},
}