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The following results are related to Digital Humanities and Cultural Heritage. Are you interested to view more results? Visit OpenAIRE - Explore.
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46 research outcomes, page 1 of 5
  • research data . 2019
    Open Access
    Authors:
    Rusanov, Alexander; Miotto, Riccardo; Weng, Chunhua;
    Persistent Identifiers
    Publisher: Dryad
    Project: NIH | Anesthesiology Research T... (2T32GM008464-21), NIH | Bridging the Semantic Gap... (5R01LM009886-02)

    Objectives: Traditionally, summarization of research themes and trends within a given discipline was accomplished by manual review of scientific works in the field. However, with the ushering in of the age of “big data”, new methods for discovery of such information bec...

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  • research data . 2018
    Open Access English
    Authors:
    Hamilton, Leah; Robb, Esther; Fitzpatrick, April; Goel, Akshay; Nandigam, Ramya;
    Persistent Identifiers
    Publisher: Virginia Tech

    Summarization is often a time-consuming task for humans. Automated methods can summarize a larger volume of source material in a shorter amount of time, but creating a good summary with these methods remains challenging. This submission contains all work related to a se...

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  • research data . 2018
    Open Access English
    Authors:
    Cheng, Junjie;
    Persistent Identifiers
    Publisher: Virginia Tech

    This is the Neural Network Document Summarization project for the Multimedia, Hypertext, and Information Access (CS 4624) course at Virginia Tech in the 2018 Spring semester. The purpose of this project is to generate a summary from a long document through deep learning...

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  • research data . 2018
    Authors:
    David Osumi-Sutherland; Enrico Ponta; Melanie Courtot; Helen Parkinson; Laura Badi;
    Persistent Identifiers
    Publisher: figshare Academic Research System
    Project: NIH | Gene Ontology Consortium (4U41HG002273-16), WT

    A complete over-representation analysis for RCV gene sets against GTEx tissue type transcriptomes. The analysis is displayed as a heat map with RCV on the Y-axis, GTEx on the X-axis, over-respresentation in blue and under-respresentation in red. Both axes are clustered ...

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  • research data . 2018
    Authors:
    Osumi-Sutherland, David; Ponta, Enrico; Courtot, Melanie; Parkinson, Helen; Badi, Laura;
    Publisher: Figshare
    Project: WT , NIH | Gene Ontology Consortium (4U41HG002273-16)

    Abstract Background The Gene Ontology (GO) consists of over 40,000 terms for biological processes, cell components and gene product activities linked into a graph structure by over 90,000 relationships. It has been used to annotate the functions and cellular locations o...

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  • research data . 2018
    Authors:
    John D. Osborne; Matthew B. Neu; Maria I. Danila; Thamar Solorio; Steven J. Bethard;
    Publisher: Figshare
    Project: NIH | Extended Methods and Soft... (5R01GM114355-04), NIH | UAB Center for Clinical a... (3UL1TR001417-01S1)

    Abstract Background Traditionally text mention normalization corpora have normalized concepts to single ontology identifiers (“pre-coordinated concepts”). Less frequently, normalization corpora have used concepts with multiple identifiers (“post-coordinated concepts”) b...

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  • research data . 2018
    Open Access
    Authors:
    Stewart, Fiona A.; Piel, Alexander K.; Luncz, Lydia; Osborne, Joanna; Li, Yingying; Hahn, Beatrice H.; Haslam, Michael; Osborn, Joanna;
    Persistent Identifiers
    Project: NIH | Studies of the precursor ... (1R01AI120810-01A1), NIH | Natural SIV Reservoirs an... (7R37AI050529-10), EC | PRIMARCH (283959)

    Most of our knowledge of wild chimpanzee behaviour stems from fewer than 10 long-term field sites. This bias limits studies to a potentially unrepresentative set of communities known to show great behavioural diversity on small geographic scales. Here, we introduce a ne...

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  • research data . 2017
    Authors:
    Weng, Wei-Hung; Kavishwar Wagholikar; McCray, Alexa; Szolovits, Peter; Chueh, Henry;
    Publisher: Figshare
    Project: NIH | Core 3 (1U54HL108460-01), NIH | A Framework to Enhance De... (5R00LM011575-04)

    Abstract Background The medical subdomain of a clinical note, such as cardiology or neurology, is useful content-derived metadata for developing machine learning downstream applications. To classify the medical subdomain of a note accurately, we have constructed a machi...

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  • research data . 2017
    Open Access
    Authors:
    Mozzherin, Dmitry; Myltsev, Alexander; Patterson, David;
    Publisher: Figshare
    Project: NSF | ABI Development: Global N... (1356347)

    1,000 name-strings randomly selected from GNI and used to determine Accuracy, Precision and Recall data (Table 1). (TXT 32 kb)

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  • research data . 2017
    Open Access
    Authors:
    Mozzherin, Dmitry; Myltsev, Alexander; Patterson, David;
    Publisher: Figshare
    Project: NSF | ABI Development: Global N... (1356347)

    Includes a full and formal explanation of all parser fields as a JSON schema. (JSON 9 kb)

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46 research outcomes, page 1 of 5