Designing Actionable and Interpretable Analytics Indicators for Improving Feedback in AI-Based Systems
Julien Broisin, Isabel Hilliger, Rafael Ferreira Mello, Esteban Villalobos et al.
Citations
1 citations
Topics
Explainable Artificial Intelligence (XAI)
Field-Weighted Citation Impact (FWCI)
2.48
article
Designing Actionable and Interpretable Analytics Indicators for Improving Feedback in AI-Based Systems
Julien Broisin, Isabel Hilliger, Rafael Ferreira Mello, Esteban Villalobos, Ilmara Monteverde Martins Ramos, Esther Félix, Elaine Oliveira, Mar Pérez‐Sanagustín
article en
1 citations
Abstract
No abstract available for this paper.
Institutions
Centre National de la Recherche Scientifique (FR), Université Toulouse III - Paul Sabatier (FR), Pontificia Universidad Católica de Chile (CL), Université Fédérale de Toulouse Midi-Pyrénées (FR), Université Toulouse-I-Capitole (FR), Institut de Recherche en Informatique de Toulouse (FR), Centro de Estudos e Sistemas Avançados do Recife (BR), Université Toulouse - Jean Jaurès (FR), Institut Polytechnique de Bordeaux (FR), Universidade Federal do Amazonas (BR)