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FDUMedSearch at TREC 2015 Clinical Decision Support Track.

, , , and . TREC, Special Publication 500-319, National Institute of Standards and Technology (NIST), (2015)

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The Fudan Participation in the 2015 BioASQ Challenge: Large-scale Biomedical Semantic Indexing and Question Answering., , , , , and . CLEF (Working Notes), volume 1391 of CEUR Workshop Proceedings, CEUR-WS.org, (2015)POSTER: STAR (Space-Time Adaptive and Reductive) Algorithms for Real-World Space-Time Optimality., and . PPOPP, page 455-456. ACM, (2017)DeepText2Go: Improving large-scale protein function prediction with deep semantic text representation., and . BIBM, page 42-49. IEEE Computer Society, (2017)DeepMeSH: deep semantic representation for improving large-scale MeSH indexing., , , , , and . Bioinformatics, 32 (12): 70-79 (2016)GOLabeler: improving sequence-based large-scale protein function prediction by learning to rank., , , , , and . Bioinformatics, 34 (14): 2465-2473 (2018)HAXMLNet: Hierarchical Attention Network for Extreme Multi-Label Text Classification., , , and . CoRR, (2019)AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification., , , , , and . NeurIPS, page 5812-5822. (2019)FDUMedSearch at TREC 2015 Clinical Decision Support Track., , , and . TREC, Special Publication 500-319, National Institute of Standards and Technology (NIST), (2015)AttentionXML: Extreme Multi-Label Text Classification with Multi-Label Attention Based Recurrent Neural Networks., , , , and . CoRR, (2018)Cache-oblivious wavefront: improving parallelism of recursive dynamic programming algorithms without losing cache-efficiency., , , , , and . PPOPP, page 205-214. ACM, (2015)