2 citations · 2 across the 6 of their papers we have counts for
4 papers · 1 filter
Differentiable Lifting for Topological Neural Networks
Jorge Luiz Franco, Gabriel Duarte, Alexander Nikitin +3
Topological neural networks (TNNs) enable leveraging high-order structures on graphs (e.g., cycles and cliques) to boost the expressive power of message-passing neural networks. In…
Real-Time Anomaly Detection with Synthetic Anomaly Monitoring (SAM)
Emanuele Luzio, Moacir Antonelli Ponti
Anomaly detection is essential for identifying rare and significant events across diverse domains such as finance, cybersecurity, and network monitoring. This paper presents Synthe…
Decoupling Decision-Making in Fraud Prevention through Classifier Calibration for Business Logic Action
Emanuele Luzio, Moacir Antonelli Ponti, Christian Ramirez Arevalo +1
Machine learning models typically focus on specific targets like creating classifiers, often based on known population feature distributions in a business context. However, models…
Dendrogram distance: an evaluation metric for generative networks using hierarchical clustering
Gustavo Sutter Carvalho, Moacir Antonelli Ponti
We present a novel metric for generative modeling evaluation, focusing primarily on generative networks. The method uses dendrograms to represent real and fake data, allowing for t…