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Recipe Networks and the Principles of Healthy Food on the Web

https://doi.org/10.1609/icwsm.v17i1.22129

Chelmis, Charalampos; Gergin, Bedirhan (June 2023, Proceedings of the International AAAI Conference on Web and Social Media)

People increasingly use the Internet to make food-related choices, prompting research on food recommendation systems. Recently, works that incorporate nutritional constraints into the recommendation process have been proposed to promote healthier recipes. Ingredient substitution is also used, particularly by people motivated to reduce the intake of a specific nutrient or in order to avoid a particular category of ingredients due for instance to allergies. This study takes a complementary approach towards empowering people to make healthier food choices by simplifying the process of identifying plausible recipe substitutions. To achieve this goal, this work constructs a large-scale network of similar recipes, and analyzes this network to reveal interesting properties that have important implications to the development of food recommendation systems.
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Noisy Label Detection and Counterfactual Correction

https://doi.org/10.1109/TAI.2023.3271963

Qi, Wenting; Chelmis, Charalampos (January 2023, IEEE Transactions on Artificial Intelligence)

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Label Denoising and Counterfactual Explanation with A Plug and Play Framework

https://doi.org/10.1109/BigData55660.2022.10020488

Qi, Wenting; Chelmis, Charalampos (December 2022, IEEE International Conference on Big Data)

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Robust Learning with Noisy Label Detection and Counterfactual Correction

https://doi.org/10.1109/BigData55660.2022.10020228

Qi, Wenting; Chelmis, Charalampos (December 2022, IEEE International Conference on Big Data)

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Hierarchical MultiClass AdaBoost

https://doi.org/10.1109/BigData52589.2021.9671291

Chelmis, Charalampos; Qi, Wenting (December 2021, 2021 IEEE International Conference on Big Data (Big Data))

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Smart Homelessness Service Provision with Machine Learning

https://doi.org/10.1016/j.procs.2021.05.002

Chelmis, Charalampos; Qi, Wenting; Lee, Wonhyung; Duncan, Stephanie (January 2021, Procedia Computer Science)
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