Cargando…
Spectroscopy Approaches for Food Safety Applications: Improving Data Efficiency Using Active Learning and Semi-supervised Learning
The past decade witnessed rapid development in the measurement and monitoring technologies for food science. Among these technologies, spectroscopy has been widely used for the analysis of food quality, safety, and nutritional properties. Due to the complexity of food systems and the lack of compreh...
Autores principales: | Zhang, Huanle, Wisuthiphaet, Nicharee, Cui, Hemiao, Nitin, Nitin, Liu, Xin, Zhao, Qing |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9257238/ https://www.ncbi.nlm.nih.gov/pubmed/35814488 http://dx.doi.org/10.3389/frai.2022.863261 |
Ejemplares similares
-
Building One-Shot Semi-Supervised (BOSS) Learning Up to Fully Supervised Performance
por: Smith, Leslie N., et al.
Publicado: (2022) -
Supervised machine learning models for depression sentiment analysis
por: Obagbuwa, Ibidun Christiana, et al.
Publicado: (2023) -
Healthy-unhealthy animal detection using semi-supervised generative adversarial network
por: Almal, Shubh, et al.
Publicado: (2023) -
Automatic emotion recognition in healthcare data using supervised machine learning
por: Azam, Nazish, et al.
Publicado: (2021) -
Improving Uncertainty Estimation With Semi-Supervised Deep Learning for COVID-19 Detection Using Chest X-Ray Images
Publicado: (2021)