Следене
João Tiago Ascensão
João Tiago Ascensão
Feedzai
Потвърден имейл адрес: feedzai.com
Заглавие
Позовавания
Позовавания
Година
Machine learning methods to detect money laundering in the bitcoin blockchain in the presence of label scarcity
J Lorenz, MI Silva, D Aparício, JT Ascensão, P Bizarro
Proceedings of the first ACM international conference on AI in finance, 1-8, 2020
1662020
Interleaved sequence RNNs for fraud detection
B Branco, P Abreu, AS Gomes, MSC Almeida, JT Ascensão, P Bizarro
Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020
842020
GuiltyWalker: Distance to illicit nodes in the Bitcoin network
C Oliveira, J Torres, MI Silva, D Aparício, JT Ascensão, P Bizarro
arXiv preprint arXiv:2102.05373, 2021
402021
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
232021
Active learning for imbalanced data under cold start
R Barata, M Leite, R Pacheco, MOP Sampaio, JT Ascensão, P Bizarro
Proceedings of the Second ACM International Conference on AI in Finance, 1-9, 2021
142021
Arms: Automated rules management system for fraud detection
D Aparício, R Barata, J Bravo, JT Ascensão, P Bizarro
arXiv preprint arXiv:2002.06075, 2020
122020
Interleaved sequence recurrent neural networks for fraud detection
BJAN de Almeida, PC Abreu, ASL Gomes, MSC Almeida, JTBN Ascensão, ...
US Patent 11,989,643, 2024
92024
Automated rules management system
DO Aparício, RJD Barata, JGSB Ferreira, JTBN Ascensão, PGSR Bizarro
US Patent 11,403,644, 2022
82022
Machine learning methods to detect money laundering in the bitcoin blockchain in the presence of label scarcity (2020)
J Lorenz, MI Silva, D Aparício, JT Ascensão, P Bizarro, JT Ascensão
Preprint arXiv, 2005
72005
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
52022
2020
J Lorenz, M Silva, D Aparício, J Ascensão
Mini-tutorial on explicit (and implicit) renaming macros in CHICKEN. non …, 2009
42009
The GANfather: Controllable generation of malicious activity to improve defence systems
RR Pereira, J Bono, JT Ascensão, D Aparício, P Ribeiro, P Bizarro
Proceedings of the Fourth ACM International Conference on AI in Finance, 133-140, 2023
32023
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
32023
Method and system for obtaining a datasource schema comprising column-specific data-types and/or semantic-types from received tabular data records
RJD Barata, HRC Ferreira, JTBN Ascensão, PGSR Bizarro
US Patent App. 18/193,064, 2023
32023
Adversarial training for tabular data with attack propagation
TL Melo, J Bravo, MOP Sampaio, P Romano, H Ferreira, JT Ascensão, ...
arXiv preprint arXiv:2307.15677, 2023
32023
Automatic profile extraction in data streams using recurrent neural networks
BJAN de Almeida, J Bono, JTBN Ascensão, PGSR Bizarro
US Patent App. 17/586,461, 2022
22022
Active learning annotation system that does not require historical data
MOP Sampaio, JTBN Ascensão, PGSR Bizarro, RJD Barata, MLP Leite, ...
US Patent App. 17/331,501, 2021
22021
Finding NeMo: Fishing in banking networks using network motifs
X Fontes, D Aparício, MI Silva, B Malveiro, JT Ascensão, P Bizarro
arXiv preprint arXiv:2108.04494, 2021
22021
Active learning for online training in imbalanced data streams under cold start
R Barata, M Leite, R Pacheco, MOP Sampaio, JT Ascensão, P Bizarro
arXiv preprint cs.LG/2107.07724, 2021
22021
The GANfather: Controllable generation of malicious activity to expose detection weaknesses and improve defence systems.
RR Pereira, J Bono, JT Ascensão, DO Aparicio, PMP Ribeiro, P Bizarro
12023
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