Machine Learning Algorithms for Food Intelligence: Towards a Method for More Accurate Predictions
- DOI
- 10.1007/978-3-030-39815-6_16
- Published
- 2020
- Container
- IFIP Advances in Information and Communication Technology
- Publisher
- Springer International Publishing
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/978-3-030-39815-6_16,
title = {Machine Learning Algorithms for Food Intelligence: Towards a Method for More Accurate Predictions},
author = {Ioanna Polychronou and Panagis Katsivelis and Mihalis Papakonstantinou and Giannis Stoitsis and Nikos Manouselis},
year = {2020},
journal = {IFIP Advances in Information and Communication Technology},
doi = {10.1007/978-3-030-39815-6_16},
url = {https://doi.org/10.1007/978-3-030-39815-6_16}
}RIS
TY - JOUR TI - Machine Learning Algorithms for Food Intelligence: Towards a Method for More Accurate Predictions AU - Ioanna Polychronou AU - Panagis Katsivelis AU - Mihalis Papakonstantinou AU - Giannis Stoitsis AU - Nikos Manouselis PY - 2020 JO - IFIP Advances in Information and Communication Technology DO - 10.1007/978-3-030-39815-6_16 UR - https://doi.org/10.1007/978-3-030-39815-6_16 ER -
APA
Polychronou, I., Katsivelis, P., Papakonstantinou, M., Stoitsis, G., & Manouselis, N. (2020). Machine Learning Algorithms for Food Intelligence: Towards a Method for More Accurate Predictions. IFIP Advances in Information and Communication Technology. https://doi.org/10.1007/978-3-030-39815-6_16
Source records
- crossref · retrieved 2026-11-10T11:44:07.939Z