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João Tiago Ascensão

Adversarial training for tabular data with attack propagation

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Jul 28, 2023
Tiago Leon Melo, João Bravo, Marco O. P. Sampaio, Paolo Romano, Hugo Ferreira, João Tiago Ascensão, Pedro Bizarro

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The GANfather: Controllable generation of malicious activity to improve defence systems

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Jul 25, 2023
Ricardo Ribeiro Pereira, Jacopo Bono, João Tiago Ascensão, David Aparício, Pedro Ribeiro, Pedro Bizarro

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Lightweight Automated Feature Monitoring for Data Streams

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Jul 19, 2022
João Conde, Ricardo Moreira, João Torres, Pedro Cardoso, Hugo R. C. Ferreira, Marco O. P. Sampaio, João Tiago Ascensão, Pedro Bizarro

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Anti-Money Laundering Alert Optimization Using Machine Learning with Graphs

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Dec 14, 2021
Ahmad Naser Eddin, Jacopo Bono, David Aparício, David Polido, João Tiago Ascensão, Pedro Bizarro, Pedro Ribeiro

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Active learning for online training in imbalanced data streams under cold start

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Jul 16, 2021
Ricardo Barata, Miguel Leite, Ricardo Pacheco, Marco O. P. Sampaio, João Tiago Ascensão, Pedro Bizarro

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GuiltyWalker: Distance to illicit nodes in the Bitcoin network

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Feb 10, 2021
Catarina Oliveira, João Torres, Maria Inês Silva, David Aparício, João Tiago Ascensão, Pedro Bizarro

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Machine learning methods to detect money laundering in the Bitcoin blockchain in the presence of label scarcity

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May 29, 2020
Joana Lorenz, Maria Inês Silva, David Aparício, João Tiago Ascensão, Pedro Bizarro

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ARMS: Automated rules management system for fraud detection

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Feb 14, 2020
David Aparício, Ricardo Barata, João Bravo, João Tiago Ascensão, Pedro Bizarro

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Interleaved Sequence RNNs for Fraud Detection

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Feb 14, 2020
Bernardo Branco, Pedro Abreu, Ana Sofia Gomes, Mariana S. C. Almeida, João Tiago Ascensão, Pedro Bizarro

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