28 citations · 28 across the 2 of their papers we have counts for
2 papers
cs.LG2023
How good Neural Networks interpretation methods really are? A quantitative benchmark
Antoine Passemiers, Pietro Folco, Daniele Raimondi +3
Saliency Maps (SMs) have been extensively used to interpret deep learning models decision by highlighting the features deemed relevant by the model. They are used on highly nonline…
cs.CY2022★ 28 cited
Data-driven micromobility network planning for demand and safety
Pietro Folco, Laetitia Gauvin, Michele Tizzoni +1
Developing safe infrastructure for micromobility like bicycles or e-scooters is an efficient pathway towards climate-friendly, sustainable, and livable cities. However, urban micro…