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Frédéric Precioso

Biographic Data

ID8999721
NAMEFrédéric Precioso
GIVEN NAMESFrédéric
FAMILY NAMEPrecioso
SIGNATUREPRECIOSO F
AFFILIATIONSCentre National de la Recherche Scientifique
ORCID0000-0001-8712-1443
VERIFIEDYes
TOTAL WORKS1
TOTAL CITATIONS0
AUTHOR COUNT1
EDITOR COUNT0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2023
H-INDEX0
  • From text saliency to linguistic objects

    Laurent Vanni, Marco Corneli et al.•ARTICLE•Corpus•2023

    A lot of effort is currently made to provide methods to analyze and understand deep neural network impressive performances for tasks such as image or text classification. These methods are mainly based on visualizing the important input features taken into account by the network to build a decision. However these techniques, let us cite LIME, SHAP, Grad-CAM, or TDS, require extra effort to interpret the visualization with respect to expert knowle…

No prominent works on this page.

  • From text saliency to linguistic objects

    Laurent Vanni, Marco Corneli et al.•ARTICLE•Corpus•2023

    A lot of effort is currently made to provide methods to analyze and understand deep neural network impressive performances for tasks such as image or text classification. These methods are mainly based on visualizing the important input features taken into account by the network to build a decision. However these techniques, let us cite LIME, SHAP, Grad-CAM, or TDS, require extra effort to interpret the visualization with respect to expert knowle…

Artificial Intelligence (1 works) · Computational and Text Analysis Methods (1 works) · Computer Science (1 works) · Convolutional neural network (1 works) · Deconvolution (1 works) · Machine learning (1 works) · Natural language processing (1 works) · Natural Language Processing Techniques (1 works) · Syntax (1 works) · Topic Modeling (1 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae