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Yuanting Ma

As seen in: arXiv, Taylor & Francis Online
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Articles by Yuanting Ma

Daily tourism demand forecasting based on a novel Holiformer algorithm: impact of holiday schedule embedding

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By Xu Yan, Yan Zhang, Futian Weng, Yuanting Ma
| Taylor & Francis Online
Forecasting tourism demand is crucial but challenging, especially with irregular and non-periodic holidays due to mismatches between lunar and Gregorian calendars and the transfer system. Current methods simplify holidays as dummy variables, overlooking their complex impacts on travel demand. This study introduces an H-temporal embedding technique to incorporate holiday schedules and timestamps and integrates it into the Transformer-based Holiformer model.
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[2211.10858] An interpretable imbalanced semi-supervised deep learning framework for improving differential diagnosis of skin diseases

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By Jinghan Sun, Shijun Shan, Qiyuan Li, Yuanting Ma
| arXiv
[Submitted on 20 Nov 2022 ( v1 ), last revised 27 Apr 2023 (this version, v2)] Title:An interpretable imbalanced semi-supervised deep learning framework for improving differential diagnosis of skin diseases Download a PDF of the paper titled An interpretable imbalanced semi-supervised deep learning framework for improving differential diagnosis of skin diseases, by Futian Weng and 7 other authors Download PDF Abstract: Dermatological diseases are among the most common disorders worldwide.
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