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

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

Seyedehdelaram Esfahani
Giovanni De Toni
Bruno Lepri
Andrea Passerini
Katya Tentori
Massimo Zancanaro
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Papers citing "Exploiting Preference Elicitation in Interactive and User-centered Algorithmic Recourse: An Initial Exploration"

5 / 5 papers shown
Title
Exploring the Impact of Explainable AI and Cognitive Capabilities on Users' Decisions
Exploring the Impact of Explainable AI and Cognitive Capabilities on Users' Decisions
Federico Maria Cau
Lucio Davide Spano
31
0
0
02 May 2025
Feature Responsiveness Scores: Model-Agnostic Explanations for Recourse
Feature Responsiveness Scores: Model-Agnostic Explanations for Recourse
Seung Hyun Cheon
Anneke Wernerfelt
Sorelle A. Friedler
Berk Ustun
FaML
FAtt
50
0
0
29 Oct 2024
Time Can Invalidate Algorithmic Recourse
Time Can Invalidate Algorithmic Recourse
Giovanni De Toni
Stefano Teso
Bruno Lepri
Andrea Passerini
42
0
0
10 Oct 2024
In Pursuit of Interpretable, Fair and Accurate Machine Learning for Criminal Recidivism Prediction
In Pursuit of Interpretable, Fair and Accurate Machine Learning for Criminal Recidivism Prediction
Caroline Linjun Wang
Bin Han
Bhrij Patel
Cynthia Rudin
FaML
HAI
64
84
0
08 May 2020
ViCE: Visual Counterfactual Explanations for Machine Learning Models
ViCE: Visual Counterfactual Explanations for Machine Learning Models
Oscar Gomez
Steffen Holter
Jun Yuan
E. Bertini
AAML
59
93
0
05 Mar 2020