Zobrazeno 1 - 10
of 240
pro vyhledávání: '"Seong Bae Park"'
Autor:
Seong Min Kim, Kyeong Min Kim, Ji Hoon Choi, Seung Man Kang, Min Kyung Bang, So Hee Park, Eon Gyeong Lee, Seong Bae Park, Choong Seon Hong, Sang Hoon Hong
Publikováno v:
IEEE Access, Vol 11, Pp 3416-3430 (2023)
In this paper, we present a digital processing in memory (DPIM) configured as a stride edge-detection search frequency neural network (SE-SFNN) which is trained through spike location dependent plasticity (SLDP), a learning mechanism reminiscent of s
Externí odkaz:
https://doaj.org/article/cf14eab95f9342d2989981a21e3a7d63
Publikováno v:
IEEE Access, Vol 10, Pp 43341-43350 (2022)
The non-autoregressive decoders in neural machine translation are paid increasing attention due to their faster decoding than autoregressive decoders. However, their apparent problem is a low performance which is mainly originated from wrong predicti
Externí odkaz:
https://doaj.org/article/8320be98a72142419ef4bbee5119283d
Secure Health Fog: A Novel Framework for Personalized Recommendations Based on Adaptive Model Tuning
Publikováno v:
IEEE Access, Vol 9, Pp 108373-108391 (2021)
The emergence of smart technology has equipped humans with wearables and sensors that collect relevant data related to individuals and their surroundings. In healthcare, the collected data can monitor user emotion, behavior, and activity, which leads
Externí odkaz:
https://doaj.org/article/0b75549a969b4815981cc2070d55e8b3
Publikováno v:
KIISE Transactions on Computing Practices. 29:95-100
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fcec0b375dc8415dc2e7cf87609bfe21
https://doi.org/10.5626/ktcp.2023.29.2.95
https://doi.org/10.5626/ktcp.2023.29.2.95
Publikováno v:
IEEE Access. 11:1934-1943
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb7359ae30ce2502001d3ecec44d5da1
https://doi.org/10.1109/access.2022.3233854
https://doi.org/10.1109/access.2022.3233854
Autor:
Jeongeun Lee, Hyun-Je Song, Eunsil Yoon, Seong-Bae Park, Sung-Hye Park, Jeong-Wook Seo, Peom Park, Jinwook Choi
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 18, Iss 1, Pp 1-11 (2018)
Abstract Background Pathology reports are written in free-text form, which precludes efficient data gathering. We aimed to overcome this limitation and design an automated system for extracting biomarker profiles from accumulated pathology reports. M
Externí odkaz:
https://doaj.org/article/d094032f8a3a46c1beacfb8007983cfb
Autor:
Hyun-Je Song, Seong-Bae Park
Publikováno v:
IEEE Access, Vol 6, Pp 60489-60497 (2018)
This paper addresses an enrichment of translation-based knowledge graph embeddings. When new knowledge triples become available after a knowledge graph is embedded onto a vector space, the embedding should be enriched with the new triples, but withou
Externí odkaz:
https://doaj.org/article/54ddd17fab484e5aa77b57799e750990
Publikováno v:
Applied Sciences, Vol 11, Iss 24, p 12023 (2021)
This paper addresses a question difficulty estimation of which goal is to estimate the difficulty level of a given question in question-answering (QA) tasks. Since a question in the tasks is composed of a questionary sentence and a set of information
Externí odkaz:
https://doaj.org/article/0635d9a3cd634d829dbc18b175114668
Publikováno v:
KIISE Transactions on Computing Practices. 28:527-531
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78fdaf069ce7299a7805883ab2b72486
https://doi.org/10.5626/ktcp.2022.28.10.527
https://doi.org/10.5626/ktcp.2022.28.10.527
Autor:
Hyunjong Ok, Seong-Bae Park
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b73b798c43558a353956c812725ad6e3
https://doi.org/10.1109/icassp49357.2023.10094938
https://doi.org/10.1109/icassp49357.2023.10094938