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20242026
most citedBoosting Relational Deep Learning with Pretrained Tabular Models

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cs.HC2024

Exploiting Preference Elicitation in Interactive and User-centered Algorithmic Recourse: An Initial Exploration

Seyedehdelaram Esfahani, Giovanni De Toni, Bruno Lepri +3

Algorithmic Recourse aims to provide actionable explanations, or recourse plans, to overturn potentially unfavourable decisions taken by automated machine learning models. In this…