Machine learning methods to detect money laundering in the bitcoin blockchain in the presence of label scarcity. - Joana Lorenz; Maria Inês Silva; David Aparício; João Tiago Ascensão; Pedro Bizarro (ICAIF, 2020)

Interleaved Sequence RNNs for Fraud Detection. - Bernardo Branco; Pedro Abreu; Ana Sofia Gomes; Mariana S. C. Almeida; João Tiago Ascensão; Pedro Bizarro (KDD, 2020)

ARMS: Automated rules management system for fraud detection. - David Aparício; Ricardo Barata; João Bravo; João Tiago Ascensão; Pedro Bizarro (CoRR, 2020)

Active learning for imbalanced data under cold start. - Ricardo Barata; Miguel Leite; Ricardo Pacheco; Marco O. P. Sampaio; João Tiago Ascensão; Pedro Bizarro (ICAIF, 2021)

Finding NeMo: Fishing in Banking Networks Using Network Motifs. - Xavier Fontes; David Aparício; Maria Inês Silva; Beatriz Malveiro; João Tiago Ascensão; Pedro Bizarro (SEA-Data@VLDB, 2021)

GuiltyWalker: Distance to illicit nodes in the Bitcoin network. - Catarina Oliveira; João Torres; Maria Inês Silva; David Aparício; João Tiago Ascensão; Pedro Bizarro (CoRR, 2021)

Active learning for online training in imbalanced data streams under cold start. - Ricardo Barata; Miguel Leite; Ricardo Pacheco; Marco O. P. Sampaio; João Tiago Ascensão; Pedro Bizarro (CoRR, 2021)

GUDIE: a flexible, user-defined method to extract subgraphs of interest from large graphs. - Maria Inês Silva; David Aparício; Beatriz Malveiro; João Tiago Ascensão; Pedro Bizarro (CoRR, 2021)

Anti-Money Laundering Alert Optimization Using Machine Learning with Graphs. - Ahmad Naser Eddin; Jacopo Bono; David Aparício; David Polido; João Tiago Ascensão; Pedro Bizarro; Pedro Ribeiro 004 (CoRR, 2021)

Lightweight Automated Feature Monitoring for Data Streams. - João Conde; Ricardo Moreira; João Torres; Pedro Cardoso; Hugo R. C. Ferreira; Marco O. P. Sampaio; João Tiago Ascensão; Pedro Bizarro (CoRR, 2022)

From random-walks to graph-sprints: a low-latency node embedding framework on continuous-time dynamic graphs. - Jacopo Bono; Ahmad Naser Eddin; David Aparício; Hugo Ferreira 006; João Tiago Ascensão; Pedro Ribeiro 004; Pedro Bizarro (ICAIF, 2023)

The GANfather: Controllable generation of malicious activity to improve defence systems. - Ricardo Ribeiro Pereira; Jacopo Bono; João Tiago Ascensão; David Aparício; Pedro Ribeiro 004; Pedro Bizarro (ICAIF, 2023)

Adversarial training for tabular data with attack propagation. - Tiago Leon Melo; João Bravo; Marco O. P. Sampaio; Paolo Romano 002; Hugo Ferreira 006; João Tiago Ascensão; Pedro Bizarro (CoRR, 2023)