17 citations · 59 across the 17 of their papers we have counts for
9 papers · 1 filter
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…
On the Dynamics of Political Discussions on Instagram: A Network Perspective
Carlos H. G. Ferreira, Fabricio Murai, Ana P. C. Silva +5
Instagram has been increasingly used as a source of information especially among the youth. As a result, political figures now leverage the platform to spread opinions and politica…
Machine Learning for Performance Prediction of Spark Cloud Applications
Alexandre Maros, Fabricio Murai, Ana Paula Couto da Silva +5
Big data applications and analytics are employed in many sectors for a variety of goals: improving customers satisfaction, predicting market behavior or improving processes in publ…
How effective are Graph Neural Networks in Fraud Detection for Network Data?
Ronald D. R. Pereira, Fabrício Murai
Graph-based Neural Networks (GNNs) are recent models created for learning representations of nodes (and graphs), which have achieved promising results when detecting patterns that…