Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Myeongjun Jang"'
Autor:
Chloe H. Lee, Jaesung Huh, Paul R. Buckley, Myeongjun Jang, Mariana Pereira Pinho, Ricardo A. Fernandes, Agne Antanaviciute, Alison Simmons, Hashem Koohy
Publikováno v:
Genome Medicine, Vol 15, Iss 1, Pp 1-24 (2023)
Abstract Background T-cells play a crucial role in the adaptive immune system by triggering responses against cancer cells and pathogens, while maintaining tolerance against self-antigens, which has sparked interest in the development of various T-ce
Externí odkaz:
https://doaj.org/article/e4fa26aaefb94dcb8391be6331e31555
Autor:
Myeongjun Jang, Pilsung Kang
Publikováno v:
IEEE Access, Vol 9, Pp 14358-14368 (2021)
Text summarization is an information condensation technique that abbreviates a source document to a few representative sentences with the intention to create a coherent summary containing relevant information of source corpora. This promising subject
Externí odkaz:
https://doaj.org/article/e4ac439b04f749eab4b8eb09602bfd3e
Publikováno v:
IEEE Access, Vol 9, Pp 58088-58101 (2021)
Previous methods for system intrusion detection have mainly consisted of those based on pattern matching that employs prior knowledge extracted from experts’ domain knowledge. However, pattern matching-based methods have a major drawback that it ca
Externí odkaz:
https://doaj.org/article/019f5acb19e943148b2bd622f276c242
Autor:
Myeongjun Jang, Thomas Lukasiewicz
Publikováno v:
IEEE/ACM Transactions on Audio, Speech, and Language Processing. 30:2514-2525
Autor:
Pilsung Kang, Myeongjun Jang
Publikováno v:
IEEE Access, Vol 9, Pp 14358-14368 (2021)
Text summarization is an information condensation technique that abbreviates a source document to a few representative sentences with the intention to create a coherent summary containing relevant information of source corpora. This promising subject
Autor:
Pilsung Kang, Myeongjun Jang
Publikováno v:
Computer Speech & Language. 71:101266
Sentence embedding is an influential research topic in natural language processing (NLP). Generation of sentence vectors that reflect the intrinsic meaning of sentences is crucial for improving performance in various NLP tasks. Therefore, numerous su
Publikováno v:
Journal of the Korean Institute of Industrial Engineers. 44:180-188
Publikováno v:
Expert Systems with Applications. 144:113111
The Vehicle Dependability Study (VDS) is a survey study on customer satisfaction for vehicles that have been sold for three years. VDS data analytics plays an important role in the vehicle development process because it can contribute to enhancing th
Publikováno v:
Information Sciences. 512:277
Autor:
Myeongjun Jang, Pilsung Kang
Sentence embedding is an important research topic in natural language processing. It is essential to generate a good embedding vector that fully reflects the semantic meaning of a sentence in order to achieve an enhanced performance for various natur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2d7d2dafb1de2860022cdd7adfd7830
http://arxiv.org/abs/1808.05505
http://arxiv.org/abs/1808.05505