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Semi-supervised learning using a graph-based phase field model for imbalanced data set classification

Aymen El Ghoul Hichem Sahbi 1, 2 
1 IMAGES - Image, Modélisation, Analyse, GEométrie, Synthèse
LTCI - Laboratoire Traitement et Communication de l'Information
2 TSI - Département Traitement du Signal et des Images
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Conference papers
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https://hal.telecom-paris.fr/hal-02412107
Contributor : TelecomParis HAL Connect in order to contact the contributor
Submitted on : Sunday, December 15, 2019 - 12:45:53 PM
Last modification on : Tuesday, October 19, 2021 - 11:15:16 AM

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  • HAL Id : hal-02412107, version 1

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INSTITUT-TELECOM | CNRS | PARISTECH | LTCI | IDS | IMAGES

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Aymen El Ghoul, Hichem Sahbi. Semi-supervised learning using a graph-based phase field model for imbalanced data set classification. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2014, Florence, Italy. ⟨hal-02412107⟩

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