2 papers
cs.LG2026
Ensembles-based Feature Guided Analysis
Federico Formica, Stefano Gregis, Andrea Rota +3
Recent Deep Neural Networks (DNN) applications ask for techniques that can explain their behavior. Existing solutions, such as Feature Guided Analysis (FGA), extract rules on their…
cs.LG2025
Feature-Guided Analysis of Neural Networks: A Replication Study
Federico Formica, Stefano Gregis, Aurora Francesca Zanenga +3
Understanding why neural networks make certain decisions is pivotal for their use in safety-critical applications. Feature-Guided Analysis (FGA) extracts slices of neural networks…