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João Tiago Ascensão
João Tiago Ascensão
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Title
Cited by
Cited by
Year
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
1212020
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
672020
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
292021
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
142021
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
92021
Arms: Automated rules management system for fraud detection
D Aparício, R Barata, J Bravo, JT Ascensão, P Bizarro
arXiv preprint arXiv:2002.06075, 2020
62020
Automated rules management system
DO Aparício, RJD Barata, JGSB Ferreira, JTBN Ascensão, PGSR Bizarro
US Patent 11,403,644, 2022
52022
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
42022
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
32024
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
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
12022
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
12022
Discriminative machine learning system for optimization of multiple objectives
CA Duarte, JGSB Ferreira, PC Abreu, JPV Caetano, TLE Marquês, ...
US Patent App. 17/473,153, 2022
12022
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
12021
Continuous active defense for digital services
JCC Casas, DM Antón, GA Del Sastre, JL De La Barrera, FP Fernández, ...
US Patent App. 18/345,626, 2024
2024
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
2023
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
2023
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
2023
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
2023
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