Indian Food Segmentation and Calorie Estimation Using CatBoost and Masked Convolutional Neural Networks-Reference-Cited by-同舟云学术

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Indian Food Segmentation and Calorie Estimation Using CatBoost and Masked Convolutional Neural Networks

Published:2023-09-01 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Network, Multimedia and Information Technology (NMITCON)
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Author:

Acharya Nabin¹,Singh Ayush Kumar²,Dwivedi Anshuman Kumar¹,G Jayanthi M.³,Kannadaguli Prashant⁴

Affiliation:

1. Cambridge Institute of Technology,Dept. of Information Science and Engineering,Bengaluru,India

2. Cambridge Institute of Technology,Dept. of Artificial Intelligence and Machine Learning,Bengaluru,India

3. Cambridge Institute of Technology,Dept. of Computer Science and Engineering,Bengaluru,India

4. Dhaarini Academy of Technical Education,Bengaluru,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10275783/10275784/10275885.pdf?arnumber=10275885

Reference21 articles.

1. CatBoost Ensemble Approach for Diabetes Risk Prediction at Early Stages

2. Comparison of the CatBoost Classifier with other Machine Learning Methods

3. Fusion of color histogram and LBP-based features for texture image retrieval and classification

4. Classical Machine Learning Classification for Javanese Traditional Food Image

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