A deep learning approach using natural language processing and time-series forecasting towards enhanced food safety

DOI10.1007/s10994-022-06151-6OpenAlexW4220701138MaRDI QIDQ6106472

Dimosthenis Kyriazis, Philip Mavrepis, Georgios Makridis

Publication date: 27 June 2023

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10994-022-06151-6

zbMATH Keywords

surrogate datareinforcement learningnatural language processingdeep learningtime-series forecastingproduct named entity recognition

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

Reconciling privacy and utility: an unscented Kalman filter-based framework for differentially private machine learning

Cites Work

• Unnamed Item
• Unnamed Item

This page was built for publication: A deep learning approach using natural language processing and time-series forecasting towards enhanced food safety