6 citations · 16 across the 17 of their papers we have counts for
3 papers · 1 filter
Scene Graph-based Driving Scenario Extraction for Automotive Egocentric Datasets
Stefan Ramdhan, Kyanna Dagenais, Vera Pantelic +2
Extracting scenarios from unlabelled real-world sensor data streams is a critical but challenging task in the development process of automated driving systems (ADS). Automatically…
Engineering Resource-constrained Software Systems with DNN Components: a Concept-based Pruning Approach
Federico Formica, Andrea Rota, Aurora Francesca Zanenga +4
Deep Neural Networks (DNNs) are widely used by engineers to solve difficult problems that require predictive modeling from data. However, these models are often massive, with milli…
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…