Gordon Lin

Publication Activity (10 Years)

Years Active: 2016-2018
Publications (10 Years): 5

Top Topics

Biomedical Text Mining

Scientific Articles

Annotated Corpus

Top Venues

University of California, San Diego, USA (PHD)

Education History

University of California, San Diego, USA

PHD

Publications

Tsung-Ting Kuo, Jina Huh, Jihoon Kim, Robert E. El-Kareh, Siddharth Singh, Stephanie Feudjio Feupe, Vincent Kuri, Gordon Lin, Michele E. Day, Lucila Ohno-Machado, Chun-Nan Hsu
The Impact of Automatic Pre-annotation in Clinical Note Data Element Extraction - the CLEAN Tool. CoRR (2018)
Shitij Bhargava, Tsung-Ting Kuo, Ankit Goyal, Vincent Kuri, Gordon Lin, Chun-Nan Hsu
bioPDFX: preparing PDF scientific articles for biomedical text mining. PeerJ Prepr. 5 (2017)
Hugh Mair, Ericbill Wang, Alice Wang, Ping Kao, Yuwen Tsai, Sumanth Gururajarao, Rolf Lagerquist, Jin Son, Gordon Gammie, Gordon Lin, Achuta Thippana, Kent Li, Manzur Rahman, Wuan Kuo, David Yen, Yi-Chang Zhuang, Ue Fu, Hung-Wei Wang, Mark Peng, Cheng-Yuh Wu, Taner Dosluoglu, Anatoly Gelman, Daniel Dia, Girishankar Gurumurthy, Tony Hsieh, W. X. Lin, Ray Tzeng, Jengding Wu, C. H. Wang, Uming Ko
3.4 A 10nm FinFET 2.8GHz tri-gear deca-core CPU complex with optimized power-delivery network for mobile SoC performance. ISSCC (2017)
Suvir Jain, Kashyap R., Tsung-Ting Kuo, Shitij Bhargava, Gordon Lin, Chun-Nan Hsu
Weakly supervised learning of biomedical information extraction from curated data. BMC Bioinform. 17 (S-1) (2016)
Suvir Jain, Kashyap R. Tumkur, Tsung-Ting Kuo, Shitij Bhargava, Gordon Lin, Chun-Nan Hsu
Erratum to: Weakly supervised learning of biomedical information extraction from curated data. BMC Bioinform. 17 (2016)