Zobrazeno 1 - 10
of 78
pro vyhledávání: '"De-Chuan Zhan"'
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 35:3575-3588
Autor:
Yang Yu, Guo Yu, Lu-Yao Han, Jian Li, Zhi-Long Zhang, Tian-Shuo Liu, Ming-Feng Li, De-Chuan Zhan, Shao-Qiu Tang, Zhi-Hua Zhou, Guang-Ji Wang
To investigate the impact of ursodeoxycholic acid (UDCA) treatment on the clinical outcome of mild and moderate COVID-19 cases, a retrospective analysis was conducted to evaluate the efficacy of UDCA on patients diagnosed with COVID-19 during the pea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::65ea231fad395750f0fca6b147710209
https://doi.org/10.1101/2023.05.02.23289410
https://doi.org/10.1101/2023.05.02.23289410
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. 33:2429-2443
New class detection and effective model expansion are of great importance in incremental data mining. In open incremental data environments, data often come with novel classes, e.g., the emergence of new classes in image classification or new topics
Autor:
Jia-Qi Yang, YuCheng Xu, Kebin Fan, Jingbo Wu, Caihong Zhang, De-Chuan Zhan, Biao-Bing Jin, Willie J. Padilla
Publikováno v:
ACS Photonics.
Publikováno v:
Interspeech 2022.
Publikováno v:
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
Hierarchical clustering produces a cluster tree with different granularities. As a result, hierarchical clustering provides richer information and insight into a dataset than partitioning clustering. However, hierarchical clustering algorithms often
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 35:10682-10690
Training a model with limited data is an essential task for machine learning and visual recognition. Few-shot learning approaches meta-learn a task-level inductive bias from SEEN class few-shot tasks, and the meta-model is expected to facilitate the
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 35:8776-8783
Few-Shot Learning (FSL) is essential for visual recognition. Many methods tackle this challenging problem via learning an embedding function from seen classes and transfer it to unseen classes with a few labeled instances. Researchers recently found
Publikováno v:
International Journal of Computer Vision. 129:1930-1953
Object recognition in the real-world requires handling long-tailed or even open-ended data. An ideal visual system needs to recognize the populated head visual concepts reliably and meanwhile efficiently learn about emerging new tail categories with
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).