Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Jongpil Lee"'
Autor:
Sang Hoon Song, Dong Hyun Lee, Hwiwoo Kim, Jongpil Lee, Sangmin Lee, Donghyun Ahn, Sungchan Park, Kun Suk Kim
Publikováno v:
Investigative and Clinical Urology, Vol 60, Iss 4, Pp 295-302 (2019)
Purpose: We aimed to determine the impact of de novo vesicoureteral reflux (VUR) on postoperative urinary tract infection (UTI) and renal function in pediatric patients with ureteroceles. Materials and Methods: We retrospectively reviewed the medical
Externí odkaz:
https://doaj.org/article/57d7004a47684d0f8d1b8227052f04e9
Publikováno v:
Applied Sciences, Vol 8, Iss 1, p 150 (2018)
Convolutional Neural Networks (CNN) have been applied to diverse machine learning tasks for different modalities of raw data in an end-to-end fashion. In the audio domain, a raw waveform-based approach has been explored to directly learn hierarchical
Externí odkaz:
https://doaj.org/article/bd9b7550085e4a8d9bce2dbf47ec0a61
Publikováno v:
Journal of the Korean Institute of Illuminating and Electrical Installation Engineers. 36:1-6
Publikováno v:
J-Institute. 7:136-147
Autor:
JongPil Lee
Publikováno v:
The Comments on the Korean Classical Texts. 33:103-128
Publikováno v:
International Society for Music Information Retrieval Conference Proceedings; 2023, p409-416, 8p
Publikováno v:
IEEE/ACM Transactions on Audio, Speech, and Language Processing. 28:1656-1668
Singing voice is a key sound source in popular music. As recent music streaming and entertainment services call for more intelligent solutions to retrieve songs or evaluate musical characteristics, automatic analysis of popular music targeted to sing
Lack of large-scale note-level labeled data is the major obstacle to singing transcription from polyphonic music. We address the issue by using pseudo labels from vocal pitch estimation models given unlabeled data. The proposed method first converts
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::564f6017c65be174ae583cc30200d3be
http://arxiv.org/abs/2203.13422
http://arxiv.org/abs/2203.13422
Recent advances of music source separation have achieved high quality of vocal isolation from mix audio. This has paved the way for various applications in the area of music informational retrieval (MIR). In this paper, we propose a method to learn a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::908e45be7de446ad3f367f397b6e5e05
Autor:
Sangmin Lee, Kun Suk Kim, Donghyun Lee, Hwiwoo Kim, Sang Hoon Song, Sungchan Park, Jongpil Lee, Donghyun Ahn
Publikováno v:
Investigative and Clinical Urology
Investigative and Clinical Urology, Vol 60, Iss 4, Pp 295-302 (2019)
Investigative and Clinical Urology, Vol 60, Iss 4, Pp 295-302 (2019)
Purpose We aimed to determine the impact of de novo vesicoureteral reflux (VUR) on postoperative urinary tract infection (UTI) and renal function in pediatric patients with ureteroceles. Materials and methods We retrospectively reviewed the medical r