Ole Winther

  1. 2018
  2. Published

    Deep learning for automated drivetrain fault detection. / Bach-Andersen, Martin; Rømer-Odgaard, Bo; Winther, Ole.

    In: Wind Energy, Vol. 21, No. 1, 2018, p. 29-41.

    Publication: Research - peer-reviewJournal article – Annual report year: 2018

  3. 2017
  4. Submitted

    A Diagnostic and Predictive Framework for Wind Turbine Drive Train Monitoring. / Bach-Andersen, Martin; Winther, Ole (Main supervisor); Rømer-Odgaard, Bo (Supervisor).

    Technical University of Denmark (DTU), 2017. 111 p. (DTU Compute PHD-2017, Vol. 449).

    Publication: ResearchPh.D. thesis – Annual report year: 2017

  5. Published

    A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning. / Fraccaro, Marco; Kamronn, Simon Due; Paquet, Ulrich; Winther, Ole.

    Proceedings of 31st Conference on Neural Information Processing Systems . 2017.

    Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2017

  6. Published

    An introduction to Deep learning on biological sequence data - Examples and solutions. / Jurtz, Vanessa Isabell; Johansen, Alexander Rosenberg; Nielsen, Morten; Almagro Armenteros, Jose Juan; Nielsen, Henrik; Kaae Sønderby, Casper; Winther, Ole; Kaae Sønderby, Søren.

    In: Bioinformatics, Vol. 33, No. 22, 2017, p. 3685-3690.

    Publication: Research - peer-reviewJournal article – Annual report year: 2017

  7. Published

    Can smartphone-based electronic markers discriminate between patients with bipolar disorder, healthy first-degree relatives and healthy control individuals. / Stanislaus, S.; Faurholt-Jepsen, M.; Vinberg, M.; Winther, Ole; Frost, Michael Grynnerup; Bardram, Jakob Eyvind; Kessing, L.

    In: Bipolar Disorders (English Edition, Online), Vol. 19, 2017, p. 128-128.

    Publication: Research - peer-reviewConference abstract in journal – Annual report year: 2017

  8. Published

    DeepLoc: prediction of protein subcellular localization using deep learning. / Almagro Armenteros, Jose Juan; Sønderby, Casper Kaae; Sønderby, Søren Kaae; Nielsen, Henrik; Winther, Ole.

    In: Bioinformatics, Vol. 33, No. 21, 2017, p. 3387-3395.

    Publication: Research - peer-reviewJournal article – Annual report year: 2017

  9. Published

    Deep recurrent conditional random field network for protein secondary prediction. / Johansen, Alexander Rosenberg; Sønderby, Søren Kaae; Sønderby, Casper Kaae; Winther, Ole.

    8th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics. Association for Computing Machinery, 2017. p. 73-78 (Acm-bcb - Proc. Acm Int. Conf. Bioinform., Comput. Biol., Health Informatics).

    Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2017

  10. Published

    End-to-end information extraction without token-level supervision. / Palm, Rasmus Berg; Hovy, Dirk; Laws, Florian; Winther, Ole.

    In: ArXiv, Vol. 2017, 1707.04913, 2017.

    Publication: Research - peer-reviewJournal article – Annual report year: 2017

  11. Submitted

    FindZebra - using machine learning to aid diagnosis of rare diseases. / Svenstrup, Dan Tito; Winther, Ole (Main supervisor).

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

    Publication: ResearchPh.D. thesis – Annual report year: 2017

  12. Published

    Gaussian process based independent analysis for temporal source separation in fMRI. / Hald, Ditte Høvenhoff; Henao, Ricardo; Winther, Ole.

    In: Neuroimage, Vol. 152, 2017, p. 563-574.

    Publication: Research - peer-reviewJournal article – Annual report year: 2017

Previous 1 2 3 4 5 6 7 8 ...13 Next
Download list:
Download as PDF
Select render style:
APAAuthorCBE/CSEHarvardMLAStandardVancouverShortLong
PDF
Download as HTML
Select render style:
APAAuthorCBE/CSEHarvardMLAStandardVancouverShortLong
HTML
Download as Word
Select render style:
APAAuthorCBE/CSEHarvardMLAStandardVancouverShortLong
Word