ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2402.05536
  4. Cited By
Empowering machine learning models with contextual knowledge for
  enhancing the detection of eating disorders in social media posts

Empowering machine learning models with contextual knowledge for enhancing the detection of eating disorders in social media posts

8 February 2024
J. Benítez-Andrades
María Teresa García-Ordás
Mayra Russo
Ahmad Sakor
Luis Daniel Fernandes Rotger
Maria-Esther Vidal
    AI4MH
ArXivPDFHTML

Papers citing "Empowering machine learning models with contextual knowledge for enhancing the detection of eating disorders in social media posts"

3 / 3 papers shown
Title
Cross-SEAN: A Cross-Stitch Semi-Supervised Neural Attention Model for
  COVID-19 Fake News Detection
Cross-SEAN: A Cross-Stitch Semi-Supervised Neural Attention Model for COVID-19 Fake News Detection
William Scott Paka
Rachit Bansal
Abhay Kaushik
Shubhashis Sengupta
Tanmoy Chakraborty
FedML
GNN
21
115
0
17 Feb 2021
Semantics of the Black-Box: Can knowledge graphs help make deep learning
  systems more interpretable and explainable?
Semantics of the Black-Box: Can knowledge graphs help make deep learning systems more interpretable and explainable?
Manas Gaur
Keyur Faldu
A. Sheth
37
113
0
16 Oct 2020
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
266
31,267
0
16 Jan 2013
1