Search Results for author: Hugo Ferreira

Found 3 papers, 0 papers with code

Adversarial training for tabular data with attack propagation

no code implementations28 Jul 2023 Tiago Leon Melo, João Bravo, Marco O. P. Sampaio, Paolo Romano, Hugo Ferreira, João Tiago Ascensão, Pedro Bizarro

Adversarial attacks are a major concern in security-centered applications, where malicious actors continuously try to mislead Machine Learning (ML) models into wrongly classifying fraudulent activity as legitimate, whereas system maintainers try to stop them.

Feature Engineering Fraud Detection

From random-walks to graph-sprints: a low-latency node embedding framework on continuous-time dynamic graphs

no code implementations17 Jul 2023 Ahmad Naser Eddin, Jacopo Bono, David Aparício, Hugo Ferreira, João Ascensão, Pedro Ribeiro, Pedro Bizarro

We demonstrate that our graph-sprints features, combined with a machine learning classifier, achieve competitive performance (outperforming all baselines for the node classification tasks in five datasets).

Graph Representation Learning Node Classification

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