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Janghyeok Yoon

As seen in: IEEE, MDPI
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Articles

Dynamic technology impact analysis: A multi-task learning approach to patent citation prediction

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By Jaewoong Choi, Seunghyun Lee, Janghyeok Yoon
| arxiv.org
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Open in Who Shared View Duplicates (389) Issue with article?

Prediction of Cognitive Impairment Using Sleep Lifelog Data and LSTM Model

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By JunHee Hong, Youngjin Seol, Seunghyun Lee, Janghyeok Yoon
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Open in Who Shared Issue with article?

Multi-Label Emotion Recognition of Korean Speech Data Using Deep Fusion Models

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By Byeonghoon Jeon, Seunghyun Lee, Janghyeok Yoon, Seoin Park
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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