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Found 4 papers, 1 papers with code
Machine Learning on Blockchain Data: A Systematic Mapping Study
Conclusion: The results confirm that ML applied to blockchain data is a relevant and a growing topic of interest both in the literature and in practice.
Leveraging Machine Learning for Multichain DeFi Fraud Detection
Since the inception of permissionless blockchains with Bitcoin in 2008, it became apparent that their most well-suited use case is related to making the financial system and its advantages available to everyone seamlessly without depending on any trusted intermediaries.
Monetary Policy, Digital Assets, and DeFi Activity
We also show that some borrowing interest rates in the Ethereum DeFi ecosystem are affected positively by unexpected changes in monetary policy.
Debt-Financed Collateral and Stability Risks in the DeFi Ecosystem
The rise of Decentralized Finance ("DeFi") on the Ethereum blockchain has enabled the creation of lending platforms, which serve as marketplaces to lend and borrow digital currencies.
