Deep metric learning for end-to-end document classification

Authors

Tri-Cong Pham (ORCID: https://orcid.org/0000-0002-5507-6454)
Aurélie Joseph (ORCID: https://orcid.org/0000-0002-5499-6355)
Antoine Doucet (ORCID: https://orcid.org/0000-0001-6160-3356)
Vincent Poulain d’Andecy (ORCID: https://orcid.org/0009-0008-5515-3561)
Mickaël Coustaty (ORCID: https://orcid.org/0000-0002-0123-439X)

Publication Details

Journal: Neurocomputing
Published: 2025-08-08
DOI: https://doi.org/10.1016/j.neucom.2025.131241
Citations: 1
Primary Topic: Music and Audio Processing
Type: article
Field-Weighted Citation Impact: 1.49

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article

Deep metric learning for end-to-end document classification

Tri-Cong Pham, Aurélie Joseph, Antoine Doucet, Vincent Poulain d’Andecy et al.

Aug 8, 2025

1 citations

Neurocomputing

Music and Audio Processing

1.49

article

Deep metric learning for end-to-end document classification

Tri-Cong Pham, Aurélie Joseph, Antoine Doucet, Vincent Poulain d’Andecy, Mickaël Coustaty

August 8, 2025article en

1 citations

Abstract

No abstract available for this paper.

NeurocomputingVol. 653

Openalex Percentile: Top 16%

Music and Audio Processing

1.49

DOI Open Access PDF OpenAlex

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Deep metric learning for end-to-end document classification — Tri-Cong Pham, Aurélie Joseph, et al. · Neurocomputing (2025) | TGRS Research Map | TGRS