48 citations · 55 across the 8 of their papers we have counts for
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cs.AI2024
Bridging the Gap in Hybrid Decision-Making Systems
Federico Mazzoni, Roberto Pellungrini, Riccardo Guidotti
We introduce BRIDGET, a novel human-in-the-loop system for hybrid decision-making, aiding the user to label records from an un-labeled dataset, attempting to ``bridge the gap'' bet…
cs.LG2024★ 5 cited
AI, Meet Human: Learning Paradigms for Hybrid Decision Making Systems
Clara Punzi, Roberto Pellungrini, Mattia Setzu +2
Everyday we increasingly rely on machine learning models to automate and support high-stake tasks and decisions. This growing presence means that humans are now constantly interact…