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Romain Xu-Darme
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2020 – today
- 2024
- [c5]Romain Xu-Darme, Aymeric Varasse, Alban Grastien, Julien Girard-Satabin, Zakaria Chihani:
CaBRNet, An Open-Source Library For Developing And Evaluating Case-Based Reasoning Models. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2024: 265-272 - [i7]Romain Xu-Darme, Aymeric Varasse, Alban Grastien, Julien Girard, Zakaria Chihani:
CaBRNet, an open-source library for developing and evaluating Case-Based Reasoning Models. CoRR abs/2409.16693 (2024) - 2023
- [b1]Romain Xu-Darme:
Algorithms and evaluation metrics for improving trust in machine learning : application to visual object recognition. (Algorithmes et métriques d'évaluation pour la confiance dans les systèmes utilisant l'apprentissage machine : application à la reconnaissance visuelle d'objets). Grenoble Alpes University, France, 2023 - [c4]Romain Xu-Darme
, Jenny Benois-Pineau
On the stability, correctness and plausibility of visual explanation methods based on feature importance. CBMI 2023: 119-125 - [c3]Romain Xu-Darme, Georges Quénot, Zakaria Chihani, Marie-Christine Rousset:
Sanity checks for patch visualisation in prototype-based image classification. CVPR Workshops 2023: 3691-3696 - [c2]Romain Xu-Darme, Julien Girard-Satabin, Darryl Hond, Gabriele Incorvaia, Zakaria Chihani:
Contextualised Out-of-Distribution Detection Using Pattern Identification. SAFECOMP Workshops 2023: 423-435 - [i6]Romain Xu-Darme, Georges Quénot, Zakaria Chihani, Marie-Christine Rousset:
Sanity checks and improvements for patch visualisation in prototype-based image classification. CoRR abs/2302.08508 (2023) - [i5]Romain Xu-Darme, Julien Girard-Satabin, Darryl Hond, Gabriele Incorvaia, Zakaria Chihani:
Interpretable Out-Of-Distribution Detection Using Pattern Identification. CoRR abs/2302.10303 (2023) - [i4]Romain Xu-Darme, Julien Girard-Satabin, Darryl Hond, Gabriele Incorvaia, Zakaria Chihani:
Contextualised Out-of-Distribution Detection using Pattern Identication. CoRR abs/2311.12855 (2023) - [i3]Romain Xu-Darme, Jenny Benois-Pineau, Romain Giot, Georges Quénot, Zakaria Chihani, Marie-Christine Rousset, Alexey Zhukov:
On the stability, correctness and plausibility of visual explanation methods based on feature importance. CoRR abs/2311.12860 (2023) - [i2]Romain Xu-Darme, Georges Quénot, Zakaria Chihani, Marie-Christine Rousset:
Sanity checks for patch visualisation in prototype-based image classification. CoRR abs/2311.16120 (2023) - 2022
- [c1]Romain Xu-Darme, Georges Quénot, Zakaria Chihani, Marie-Christine Rousset:
PARTICUL: Part Identification with Confidence Measure Using Unsupervised Learning. ICPR Workshops (3) 2022: 173-187 - [i1]Romain Xu-Darme, Georges Quénot, Zakaria Chihani, Marie-Christine Rousset:
PARTICUL: Part Identification with Confidence measure using Unsupervised Learning. CoRR abs/2206.13304 (2022)
Coauthor Index
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