Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Jinsung Jeon"'
Publikováno v:
Analytical Chemistry. 93:1416-1422
We demonstrate for the first time a fast aptamer generation method based on the screen-printed electrodynamic microfluidic channel device, where a specific aptamer selectively binds to a target protein on channel walls, following recovery and separat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d570759f0b816d5b3bc2b67ab72b0337
https://doi.org/10.1021/acs.analchem.0c03231
https://doi.org/10.1021/acs.analchem.0c03231
Publikováno v:
CIKM
Collaborative filtering (CF) is a long-standing problem of recommender systems. Many novel methods have been proposed, ranging from classical matrix factorization to recent graph convolutional network-based approaches. After recent fierce debates, re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b4e06782c574dd5ee0d61d830f723ba5
https://doi.org/10.1145/3459637.3482449
https://doi.org/10.1145/3459637.3482449
Autor:
Seonghoon Kim, Chiyoung Song, Soyoung Kang, Noseong Park, Jinsung Jeon, Seunghyeon Cho, Minju Jo
Publikováno v:
CIKM
Mobile digital billboards are an effective way to augment brand-awareness. Among various such mobile billboards, taxicab rooftop devices are emerging in the market as a brand new media. Motov is a leading company in South Korea in the taxicab rooftop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2be2415aa38190982d55691f6762081
https://doi.org/10.1145/3459637.3481935
https://doi.org/10.1145/3459637.3481935
Publikováno v:
KDD
Neural ordinary differential equations (NODEs) presented a new paradigm to construct (continuous-time) neural networks. While showing several good characteristics in terms of the number of parameters and the flexibility in constructing neural network
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5449767d1fd119ac2605fee4eb893149
https://doi.org/10.1145/3447548.3467419
https://doi.org/10.1145/3447548.3467419
Publikováno v:
KDD
We present a prediction-driven optimization framework to maximize the market influence in the US domestic air passenger transportation market by adjusting flight frequencies. At the lower level, our neural networks consider a wide variety of features
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b76f3140f07893c2eb54867aae1449e
http://arxiv.org/abs/2105.15012
http://arxiv.org/abs/2105.15012
Publikováno v:
WWW
Synthesizing tabular data is attracting much attention these days for various purposes. With sophisticate synthetic data, for instance, one can augment its training data. For the past couple of years, tabular data synthesis techniques have been great
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::93f1cb7810f7127f3d45bebd6191555c
https://doi.org/10.1145/3442381.3449999
https://doi.org/10.1145/3442381.3449999
Autor:
Jinsung Jeon, Jing Liu, Jayoung Kim, Jaehoon Lee, Noseong Park, Jamie Jooyeon Lee, Ozlem Uzuner, Sushil Jajodia
Publikováno v:
Proceedings of the 2021 SIAM International Conference on Data Mining (SDM) ISBN: 9781611976700
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7fe93ed7c8e83cb211f9cf59674959f1
https://doi.org/10.1137/1.9781611976700.35
https://doi.org/10.1137/1.9781611976700.35
Autor:
Jinsung Jeon, Dongeun Lee, Seunghyun Hwang, Soyoung Kang, Noseong Park, Duanshun Li, Kookjin Lee, Jing Liu
Publikováno v:
Proceedings of the 2021 SIAM International Conference on Data Mining (SDM) ISBN: 9781611976700
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a73ee13d9d9304e6583df141cdae7ff4
https://doi.org/10.1137/1.9781611976700.80
https://doi.org/10.1137/1.9781611976700.80
Autor:
Se Hwan Jang, Byeongchan Kang, Se-Hoon Park, Jiyeong Jeong, Nulee Jang, In Seop Chang, Jinsung Jeon, Jiyeon Kim, Zee-Yong Park, Mungyu Lee, Soyoung Oh
Publikováno v:
Bioresource Technology. 321:124521
This study analyzed the effect of methanol on the metabolism of syngas components (i.e., H2 and CO) by the syngas fermenting acetogenic strain E. limosum KIST612. The culture characteristics and relevant proteomic expressions (as fold changes) were c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::32d6606086bd55a47c400975b3203c1c
https://doi.org/10.1016/j.biortech.2020.124521
https://doi.org/10.1016/j.biortech.2020.124521