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Dish-ID: A neural-based method for ingredient extraction and further recipe suggestion

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Department of Information Technologies

DOI

https://doi.org/10.1109/EnT50437.2020.9431242
Final published version

Ilya Shchuka
Saydash Miftakhov
Vladislav Patrushev
Maria Tikhonova
Alena Fenogenova

Original language	English
Title of host publication	2020 International Conference Engineering and Telecommunication, En and T 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728188294
DOIs	https://doi.org/10.1109/EnT50437.2020.9431242
Publication status	Published - 25 Nov 2020
Event	2020 International Conference Engineering and Telecommunication, En and T 2020 - Dolgoprudny, Russian Federation Duration: 25 Nov 2020 → 26 Nov 2020

Publication series

Name	2020 International Conference Engineering and Telecommunication, En and T 2020

Conference

Conference	2020 International Conference Engineering and Telecommunication, En and T 2020
Country/Territory	Russian Federation
City	Dolgoprudny
Period	25.11.2020 → 26.11.2020

Research areas

Computer vision, Deep learning, Food detection, Food recognition, Image capturing, Ingredient extraction, Machine learning, Natural language processing, Neural networks

OECD FOS+WOS

1.02 COMPUTER AND INFORMATION SCIENCES
1.03 PHYSICAL SCIENCES AND ASTRONOMY

ID: 34227110