Dan Tito Svenstrup

  1. 2018
  2. Published

    FindZebra - using machine learning to aid diagnosis of rare diseases. / Svenstrup, Dan Tito.

    DTU Compute, 2018. 118 p. (DTU Compute PHD-2017, Vol. 463).

    Research output: Book/ReportPh.D. thesis – Annual report year: 2018Research

  3. 2017
  4. Published

    Hash embeddings for efficient word representations. / Svenstrup, Dan Tito; Hansen, Jonas Meinertz; Winther, Ole.

    Proceedings of the 31st International Conference on Neural Information Processing Systems. Association for Computing Machinery, 2017. p. 4929-4937.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedings – Annual report year: 2017Researchpeer-review

  5. 2015
  6. Published

    Method of and System for Information Retrieval. / Winther, Ole (Inventor); Svenstrup, Dan Tito (Inventor).

    IPC No.: G06F17/30. Patent No.: WO2015086824. Jun 18, 2015.

    Research output: PatentPatent – Annual report year: 2015Research

  7. Published

    Rare disease diagnosis: A review of web search, social media and large-scale data-mining approaches. / Svenstrup, Dan Tito; Jørgensen, Henrik L; Winther, Ole.

    In: Rare Diseases (Online), Vol. 3, No. 1, e1083145, 2015.

    Research output: Contribution to journalJournal article – Annual report year: 2015Researchpeer-review

  8. 2014
  9. Published

    FindZebra - the search engine for difficult medical cases. / Winther, Ole; Svenstrup, Dan Tito; Henningsen, Philip P.; Kristiásson, Róbert; Jørgensen, Henrik L.

    In: Orphanet Journal of Rare Diseases, Vol. 9, No. 1, 2014, p. 822.

    Research output: Contribution to journalJournal article – Annual report year: 2015Researchpeer-review