Machine learning methods to detect money laundering in the bitcoin blockchain in the presence of label scarcity-Reference-Cited by-同舟云学术

Machine learning methods to detect money laundering in the bitcoin blockchain in the presence of label scarcity

Published:2020-10-15 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the First ACM International Conference on AI in Finance
language:
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Author:

Lorenz Joana¹,Silva Maria Inês²,Aparício David²,Ascensão João Tiago²,Bizarro Pedro²

Affiliation:

1. NOVA IMS & Feedzai

2. Feedzai

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3383455.3422549

Reference43 articles.

1. Using active learning in intrusion detection

2. Ricardo Barata Miguel Leite Ricardo Pacheco Marco O. P. Sampaio João Ascensão and Pedro Bizarro. 2020. Active learning for online training in imbalanced data streams under cold start. (2020). To appear. Ricardo Barata Miguel Leite Ricardo Pacheco Marco O. P. Sampaio João Ascensão and Pedro Bizarro. 2020. Active learning for online training in imbalanced data streams under cold start. (2020). To appear.

3. Data Mining for Detecting Bitcoin Ponzi Schemes

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