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Mining Both Commonality and Specificity From Multiple Documents for Multi-Document Summarization 期刊论文
IEEE ACCESS, 2024, 卷号: 12, 页码: 54371-54381
作者:  Ma, Bing
收藏  |  浏览/下载:2/0  |  提交时间:2024/05/20
Vectors  Task analysis  Feature extraction  Natural languages  Clustering algorithms  Symmetric matrices  Standards  Class tree  commonality and specificity  hierarchical clustering of documents  multi-document summarization  pre-trained embedding representation  
Landscape of Big Medical Data: A Pragmatic Survey on Prioritized Tasks 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 15590-15611
作者:  Zhang, Zhifei;  Gao, Wanling;  Zhang, Fan;  Huang, Yunyou;  Dai, Shaopeng;  Fan, Fanda;  Zhan, Jianfeng;  Du, Mengjia;  Yin, Silin;  Xiong, Longxin;  Du, Juan;  Cheng, Yumei;  Zhou, Xiexuan;  Ren, Rui;  Wang, Lei;  Ye, Hainan
收藏  |  浏览/下载:72/0  |  提交时间:2019/04/03
Big medical data  quantified self  disease classification  disease diagnosis  drug discovery  publicly available data  benchmarks  algorithms  systems  multi-disciplinary collaboration