Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Shasha Mo"'
Autor:
Kairui Chen, Fuqun Huang, Zejing Liu, Haomiao Yu, Liuchang Meng, Shasha Mo, Li Zhang, You Song
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-13 (2024)
Abstract A well-designed educational programming dataset is a valuable asset for students and educators. Such a dataset enables students to improve their programming performances continuously, provides researchers with significant data sources to ide
Externí odkaz:
https://doaj.org/article/cc14b95828f34ce39b65b2d4e9f51d25
Autor:
Kairui Chen, Fuqun Huang, Zejing Liu, Haomiao Yu, Liuchang Meng, Shasha Mo, Li Zhang, You Song
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-1 (2024)
Externí odkaz:
https://doaj.org/article/3d5a33d272974906b483ac0cdae66b4c
Publikováno v:
BMC Musculoskeletal Disorders, Vol 24, Iss 1, Pp 1-7 (2023)
Abstract Objectives To investigate the clinical efficacy and safety of open reduction through anterior minimally invasive approach in the treatment of children with developmental dysplasia of the hip. Method A total of 23 patients (25 hips) less than
Externí odkaz:
https://doaj.org/article/d8d0fb297fac4f43ab6a042d7cdf459a
Autor:
SiYu Xu, YaoXi Liu, GuangHui Zhu, Kun Liu, Jin Tang, JiangYan Wu, An Yan, Fei Jiang, ShaSha Mo, HaiBo Mei
Publikováno v:
Journal of Orthopaedic Surgery and Research, Vol 17, Iss 1, Pp 1-11 (2022)
Abstract Background Reconstruction of large tibial defects is often a major challenge in limb salvage. This study aimed to evaluate initial follow-up results of ipsilateral fibula transfer for the treatment of large tibial defects in children. Method
Externí odkaz:
https://doaj.org/article/97f526aab1114e358667a3629ef72a28
Autor:
Shasha Mo, Hui Xiong, Guangwen Shu, Xinzhou Yang, Jianxia Wang, Congyi Zheng, Wei Xiong, Zhinan Mei
Publikováno v:
Journal of Pharmacological Sciences, Vol 122, Iss 3, Pp 163-175 (2013)
Phaseoloideside E (PE), a new oleanane-type triterpene saponin, was isolated from the seed kernels of Entada phaseoloides (Linn.) Merr. PE had strong cytotoxic activity against an array of malignant cells. Typical morphological and biochemical featur
Externí odkaz:
https://doaj.org/article/35741efafe1d470db462ef71d7ad93d3
Publikováno v:
2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::99c504cf118d7da4a231ad6214cf848e
https://doi.org/10.1109/icdsca56264.2022.9988375
https://doi.org/10.1109/icdsca56264.2022.9988375
Publikováno v:
2022 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a45ccf8297ccc95a0b412b0d7cc543fc
https://doi.org/10.1109/icaica54878.2022.9844540
https://doi.org/10.1109/icaica54878.2022.9844540
Publikováno v:
CVPR
In real application scenarios, the performance of deep networks may be degraded when the dataset contains noisy labels. Existing methods for learning with noisy labels are limited by two aspects. Firstly, methods based on the noise probability modeli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b4c0fea07a971d2372e6a070c47023a
https://doi.org/10.1109/cvpr46437.2021.00675
https://doi.org/10.1109/cvpr46437.2021.00675
Publikováno v:
ICC
Language modeling is an important problem in Natural Language Processing (NLP), and the multi-layer Transformer network is currently the most advanced and effective model for this task. However, there exist two inherent defects in its multi-head self
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::116142f5f92e56aaae14008a018c6a17
https://doi.org/10.1109/icc42927.2021.9500450
https://doi.org/10.1109/icc42927.2021.9500450
Autor:
Shasha Mo, Jianwei Niu
Publikováno v:
IEEE Transactions on Affective Computing. 10:313-324
Music mood is useful for music-related applications such as music retrieval or recommendation, which represents the inherent emotional expression of music signals. In this paper, a novel technique is proposed for music signal analysis in the view of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d65f1c8c9d94612e34f86d32220e5216
https://doi.org/10.1109/taffc.2017.2724515
https://doi.org/10.1109/taffc.2017.2724515