This paper is in the following e-collection/theme issue:

Development and Evaluation of Research Methods, Instruments and Tools (514) Formative Evaluation of Digital Health Interventions (2498) Ontologies, Classifications, and Coding (244)

Published on in Vol 6, No 9 (2022): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/32460, first published .
Attention-Based Models for Classifying Small Data Sets Using Community-Engaged Research Protocols: Classification System Development and Validation Pilot Study

Attention-Based Models for Classifying Small Data Sets Using Community-Engaged Research Protocols: Classification System Development and Validation Pilot Study

Attention-Based Models for Classifying Small Data Sets Using Community-Engaged Research Protocols: Classification System Development and Validation Pilot Study

Authors of this article:

Brian J Ferrell1 Author Orcid Image ;   Sarah E Raskin2 Author Orcid Image ;   Emily B Zimmerman3 Author Orcid Image ;   David H Timberline1 Author Orcid Image ;   Bridget T McInnes4 Author Orcid Image ;   Alex H Krist5 Author Orcid Image
Article Authors Cited by (4) Tweetations (3) Metrics

Journals

  1. Ferrell B. Fine-tuning Strategies for Classifying Community-Engaged Research Studies Using Transformer-Based Models: Algorithm Development and Improvement Study. JMIR Formative Research 2023;7:e41137 View
  2. Ferrell B, Raskin S, Zimmerman E. Calibrating a Transformer-Based Model’s Confidence on Community-Engaged Research Studies: Decision Support Evaluation Study. JMIR Formative Research 2023;7:e41516 View
  3. Chen Y, Jiang H. Optimizing automated compliance checking with ontology-enhanced natural language processing: Case in the fire safety domain. Journal of Environmental Management 2024;371:123320 View

Books/Policy Documents

  1. Sayed M, Braşoveanu A, Nixon L, Scharl A. Advances in Computational Intelligence. View