17 citations · 59 across the 17 of their papers we have counts for
20 papers
Can LLM-assisted regularization increase forecast accuracy for migration flows in low data regimes?
Nathaniel T. Hindman, Fabricio Murai
Predicting migration flows remains a significant challenge for traditional gravity-based forecasting models, which primarily rely on structured socio-economic indicators such as ec…
Helping Fact-Checkers Identify Fake News Stories Shared through Images on WhatsApp
Julio C. S. Reis, Philipe Melo, Fabiano Belém +3
WhatsApp has introduced a novel avenue for smartphone users to engage with and disseminate news stories. The convenience of forming interest-based groups and seamlessly sharing con…
DELATOR: Money Laundering Detection via Multi-Task Learning on Large Transaction Graphs
Henrique S. Assumpção, Fabrício Souza, Leandro Lacerda Campos +3
Money laundering has become one of the most relevant criminal activities in modern societies, as it causes massive financial losses for governments, banks and other institutions. D…
Top-Down Deep Clustering with Multi-generator GANs
Daniel de Mello, Renato Assunção, Fabricio Murai
Deep clustering (DC) leverages the representation power of deep architectures to learn embedding spaces that are optimal for cluster analysis. This approach filters out low-level i…
Heterogeneous download times in bandwidth-homogeneous BitTorrent swarms
Fabricio Murai, Antonio A. de A. Rocha, Daniel R. Figueiredo +1
Modeling and understanding BitTorrent (BT) dynamics is a recurrent research topic mainly due to its high complexity and tremendous practical efficiency. Over the years, different m…
Fairness via AI: Bias Reduction in Medical Information
Shiri Dori-Hacohen, Roberto Montenegro, Fabricio Murai +4
Most Fairness in AI research focuses on exposing biases in AI systems. A broader lens on fairness reveals that AI can serve a greater aspiration: rooting out societal inequities fr…