| Anti-money laundering alert optimization using machine learning with graphs AN Eddin, J Bono, D Aparício, D Polido, JT Ascensão, P Bizarro, ... arXiv preprint arXiv:2112.07508, 2021 | 23 | 2021 |
| Graph traversal for measurement of fraudulent nodes MI Silva, DO Aparício, AN Eddin, J Bono, JTBN Ascensão, PGSR Bizarro US Patent App. 17/553,265, 2022 | 5 | 2022 |
| Scalable subgraph counting using MapReduce AN Eddin, P Ribeiro Proceedings of the Symposium on Applied Computing, 1574-1581, 2017 | 5 | 2017 |
| From random-walks to graph-sprints: a low-latency node embedding framework on continuous-time dynamic graphs AN Eddin, J Bono, D Aparício, H Ferreira, JT Ascensão, P Ribeiro, ... Proceedings of the Fourth ACM International Conference on AI in Finance, 176-184, 2023 | 3 | 2023 |
| Method for low-latency feature extraction for training a machine-learning model AN EDDIN, J Bono, HRC Ferreira, JTBN Ascensão, PGSR Bizarro US Patent App. 18/751,973, 2025 | | 2025 |
| Deep-Graph-Sprints: Accelerated Representation Learning in Continuous-Time Dynamic Graphs AN Eddin, J Bono, D Aparício, H Ferreira, P Ribeiro, P Bizarro arXiv preprint arXiv:2407.07712, 2024 | | 2024 |
| Anti-money Laundering using Graph Techniques AN Eddin PQDT-Global, 2024 | | 2024 |
| Triaging alerts using machine learning AN Eddin, J Bono, JTBN Ascensão, PGSR Bizarro US Patent App. 17/831,199, 2023 | | 2023 |
| Large Scale Parallel Subgraph Search AN Eddin PQDT-Global, 2016 | | 2016 |
Pedro G BizarroFeedzaiPotvrđena adresa e-pošte na feedzai.com