58 citations · 135 across the 7 of their papers we have counts for
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cs.AI2020★ 24 cited
Solving the single-track train scheduling problem via Deep Reinforcement Learning
Valerio Agasucci, Giorgio Grani, Leonardo Lamorgese
Every day, railways experience disturbances and disruptions, both on the network and the fleet side, that affect the stability of rail traffic. Induced delays propagate through the…
eess.IV2020★ 58 cited
Multimodal Feature Fusion and Knowledge-Driven Learning via Experts Consult for Thyroid Nodule Classification
Danilo Avola, Luigi Cinque, Alessio Fagioli +3
Computer-aided diagnosis (CAD) is becoming a prominent approach to assist clinicians spanning across multiple fields. These automated systems take advantage of various computer vis…