Published on in Vol 7 (2023)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/41137, first published
.
![Fine-tuning Strategies for Classifying Community-Engaged Research Studies Using Transformer-Based Models: Algorithm Development and Improvement Study Fine-tuning Strategies for Classifying Community-Engaged Research Studies Using Transformer-Based Models: Algorithm Development and Improvement Study](https://asset.jmir.pub/assets/f75b9818a4e05a6635d9e2afd4d173b0.png 480w,https://asset.jmir.pub/assets/f75b9818a4e05a6635d9e2afd4d173b0.png 960w,https://asset.jmir.pub/assets/f75b9818a4e05a6635d9e2afd4d173b0.png 1920w,https://asset.jmir.pub/assets/f75b9818a4e05a6635d9e2afd4d173b0.png 2500w)
Journals
- 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
- Yu S, Yang S, Yoon S. The Design of an Intelligent Lightweight Stock Trading System Using Deep Learning Models: Employing Technical Analysis Methods. Systems 2023;11(9):470 View