Data-driven bicycle network planning for demand and safety. - Pietro Folco; Laetitia Gauvin; Michele Tizzoni; Michael Szell (CoRR, 2022)

An ILP for scheduling rolling stock maintenance activities under operational and logistical constraints. - Pietro Folco; Abderrahim Sahli; Sana Belmokhtar Berraf; Laurent Bouillaut; Pierre-Emmanuel Fayemi; Fabien Turgis (CoDIT, 2023)

How good Neural Networks interpretation methods really are? A quantitative benchmark. - Antoine Passemiers; Pietro Folco; Daniele Raimondi; Giovanni Birolo; Yves Moreau; Piero Fariselli (CoRR, 2023)

A rolling horizon for rolling stock maintenance scheduling problem with cyclical activities. - Pietro Folco; Abderrahim Sahli; Sana Belmokhtar Berraf; Laurent Bouillaut (Comput. Ind. Eng., 2024)