Výsledky vyhledávání - "Nicodeme, Claire"

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Xplique: A Deep Learning Explainability Toolbox

Autor: Fel, Thomas, Hervier, Lucas, Vigouroux, David, Poche, Antonin, Plakoo, Justin, Cadene, Remi, Chalvidal, Mathieu, Colin, Julien, Boissin, Thibaut, Bethune, Louis, Picard, Agustin, Nicodeme, Claire, Gardes, Laurent, Flandin, Gregory, Serre, Thomas

Today's most advanced machine-learning models are hardly scrutable. The key challenge for explainability methods is to help assisting researchers in opening up these black boxes, by revealing the strategy that led to a given decision, by characterizi

Externí odkaz: http://arxiv.org/abs/2206.04394

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Don't Lie to Me! Robust and Efficient Explainability with Verified Perturbation Analysis

Autor: Fel, Thomas, Ducoffe, Melanie, Vigouroux, David, Cadene, Remi, Capelle, Mikael, Nicodeme, Claire, Serre, Thomas

Publikováno v: Proceedings of the IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2023

A variety of methods have been proposed to try to explain how deep neural networks make their decisions. Key to those approaches is the need to sample the pixel space efficiently in order to derive importance maps. However, it has been shown that the

Externí odkaz: http://arxiv.org/abs/2202.07728

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Dissertation/ Thesis

Evaluation de l'adhérence au contact roue-rail par analyse d'images spectrales

Autor: Nicodeme, Claire

L’avantage du train depuis sa création est sa faible résistance à l’avancement du fait du contact fer-fer de la roue sur le rail conduisant à une adhérence réduite. Cependant cette adhérence faible est aussi un inconvénient majeur : étan

Externí odkaz: http://www.theses.fr/2018PSLEM024/document

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Wheel-track adhesion evaluation using spectral imaging

Autor: Nicodeme, Claire

Publikováno v: Traitement des images [eess.IV]. Université Paris sciences et lettres, 2018. Français. ⟨NNT : 2018PSLEM024⟩

The advantage of the train since its creation is in its low resistance to the motion, due to the contact iron-iron of the wheel on the rail leading to low adherence. However this low adherence is also a major drawback : being dependent on the environ

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::8078ffa16e8a030f8f6f073e784cab22
https://pastel.archives-ouvertes.fr/tel-02138055/file/2018PSLEM024_archivage.pdf

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