4 citations · 4 across the 4 of their papers we have counts for
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cs.LG2021★ 4 cited
GuiltyWalker: Distance to illicit nodes in the Bitcoin network
Catarina Oliveira, João Torres, Maria Inês Silva +3
Money laundering is a global phenomenon with wide-reaching social and economic consequences. Cryptocurrencies are particularly susceptible due to the lack of control by authorities…
cs.LG2020
Machine learning methods to detect money laundering in the Bitcoin blockchain in the presence of label scarcity
Joana Lorenz, Maria Inês Silva, David Aparício +2
Every year, criminals launder billions of dollars acquired from serious felonies (e.g., terrorism, drug smuggling, or human trafficking) harming countless people and economies. Cry…