Výsledky vyhledávání - "Sung-Pil Choi"

Akademický článek

Korean Grammatical Error Correction Based on Transformer with Copying Mechanisms and Grammatical Noise Implantation Methods

Autor: Myunghoon Lee, Hyeonho Shin, Dabin Lee, Sung-Pil Choi

Publikováno v: Sensors, Vol 21, Iss 8, p 2658 (2021)

Grammatical Error Correction (GEC) is the task of detecting and correcting various grammatical errors in texts. Many previous approaches to the GEC have used various mechanisms including rules, statistics, and their combinations. Recently, the perfor

Externí odkaz: https://doaj.org/article/69443b629b03460fbee77679f1196323

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Akademický článek

The small molecule phenamil is a modulator of adipocyte differentiation and PPARγ expression[S]

Autor: Kye Won Park, Hironori Waki, Sung-Pil Choi, Ki-Moon Park, Peter Tontonoz

Publikováno v: Journal of Lipid Research, Vol 51, Iss 9, Pp 2775-2784 (2010)

We previously described the use of a cell-based screening approach to identify small molecules that regulate adipocyte differentiation. Here we identify the amiloride derivative phenamil as an adipogenic compound. Phenamil acutely induces expression

Externí odkaz: https://doaj.org/article/d6299c27ca9c4685ace032cca1e24a7b

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Akademický článek

A Dynamic Users’ Interest Discovery Model with Distributed Inference Algorithm

Autor: Shuo Xu, Qingwei Shi, Xiaodong Qiao, Lijun Zhu, Han Zhang, Hanmin Jung, Seungwoo Lee, Sung-Pil Choi

Publikováno v: International Journal of Distributed Sensor Networks, Vol 10 (2014)

One of the key issues for providing users user-customized or context-aware services is to automatically detect latent topics, users’ interests, and their changing patterns from large-scale social network information. Most of the current methods are

Externí odkaz: https://doaj.org/article/c448d0e7b7a642ff81dae878ecc9f9e0

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Akademický článek

Platform to Build the Knowledge Base by Combining Sensor Data and Context Data

Autor: Sungho Shin, Jungho Um, Dongmin Seo, Sung-Pil Choi, Seungwoo Lee, Hanmin Jung, Mun Yong Yi

Publikováno v: International Journal of Distributed Sensor Networks, Vol 10 (2014)

Sensor data is structured and generally lacks of meaning by itself, but life-logging data (time, location, etc.) out of sensor data can be utilized to create lots of meaningful information combined with social data from social networks like Facebook

Externí odkaz: https://doaj.org/article/451c783387ff4f3094b5a44dcdc0769a

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Akademický článek

Distributed and Parallel Big Textual Data Parsing for Social Sensor Network

Autor: Jung-Ho Um, Chang-Hoo Jeong, Sung-Pil Choi, Seungwoo Lee, Hwan-Min Kim, Hanmin Jung

Publikováno v: International Journal of Distributed Sensor Networks, Vol 9 (2013)

Recently, due to the popularization of the smartphone and social network service (SNS), many SNS users write their opinions for social events. According to these social phenomena, social sensor network which analyzes social events by utilizing those

Externí odkaz: https://doaj.org/article/bde2d5000d6241a1b023b84e15818474

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