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pro vyhledávání: '"Baohang Zhou"'
MTAAL: Multi-Task Adversarial Active Learning for Medical Named Entity Recognition and Normalization
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 35:14586-14593
Automated medical named entity recognition and normalization are fundamental for constructing knowledge graphs and building QA systems. When it comes to medical text, the annotation demands a foundation of expertise and professionalism. Existing meth
Missing value imputation in multivariate time series with end-to-end generative adversarial networks
Publikováno v:
Information Sciences. 551:67-82
Missing values are inherent in multivariate time series because of multiple reasons, such as collection errors, which deteriorate the performance of follow-up analytic applications on the multivariate time series. Numerous missing value imputation me
Autor:
Baohang Zhou, Ying Zhang, Jinyang Gao, Xiangrui Cai, Xiaojie Yuan, Jiawei Ouyang, Xiaoke Ding
Publikováno v:
Information Sciences. 552:48-64
Given samples from a particular normal class, image novelty detection is aimed at determining whether a query sample is from the normal class. Images from this particular class are termed inliers or normal images, whereas images not belonging to the
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Publikováno v:
ACL/IJCNLP (1)
Medical named entity recognition (NER) and normalization (NEN) are fundamental for constructing knowledge graphs and building QA systems. Existing implementations for medical NER and NEN are suffered from the error propagation between the two tasks.
Publikováno v:
2014 IEEE 36th International Telecommunications Energy Conference (INTELEC).
Publikováno v:
2014 IEEE 36th International Telecommunications Energy Conference (INTELEC).