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Elodie Escriva

A quantitative approach for the comparison of additive local explanation methods
2022 · Emmanuel Doumard, Julien Aligon, et al. · Information Systems · 53
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Coalitional Strategies for Efficient Individual Prediction Explanation
2021 · Gabriel Ferrettini, Elodie Escriva, et al. · Information Systems Frontiers · 30
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A comparative study of additive local explanation methods based on feature influences
2022 · Doumard, Emmanuel, Aligon, Julien, et al. · HAL · 12
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Local Explanation-Based Method for Healthcare Risk Stratification
2022 · Jean-Baptiste Excoffier, Elodie Escriva, et al. · Studies in health technology and informatics · 10
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Effective data exploration through clustering of local attributive explanations
2024 · Elodie Escriva, Tom Lefrere, et al. · Information Systems · 6
How to Make the Most of Local Explanations: Effective Clustering Based on Influences
2023 · Elodie Escriva, Julien Aligon, et al. · Lecture notes in computer science · 6
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Data Exploration Based on Local Attribution Explanation: A Medical Use Case
2023 · Elodie Escriva, Emmanuel Doumard, et al. · Communications in computer and information science · 6
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L'explicabilité au service de l'extraction de connaissances : application à des données médicales
2023 · Cugny, Robin, Doumard, Emmanuel, et al. · arXiv (Cornell University) · 2
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Enhancing local attributive explanations to support Machine Learning predictive analysis : application to the healthcare sector and medical decision tools.
2024 · Elodie Escriva · theses.fr (ABES)
Stratégies coalitionnelles pour une explication efficace des prédictions individuelles
2022 · Escriva, Elodie, Ferrettini, Gabriel, et al. · HAL
Works count: 10
Citation count: 125
H-index: 6
I10-index: 4
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