Ole Winther

  1. 2018
  2. Published

    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), 2018. 111 p. (DTU Compute PHD-2017, Vol. 449).

    Publication: ResearchPh.D. thesis – Annual report year: 2018

  3. Published

    Deep Generative Models for Molecular Science. / Jørgensen, Peter Bjørn; Schmidt, Mikkel Nørgaard; Winther, Ole.

    In: Molecular Informatics, Vol. 37, No. 1-2, 1700133, 2018.

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

  4. 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

  5. 2017
  6. 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

  7. 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

  8. Published

    Bayesian inference for spatio-temporal spike-and-slab priors. / Andersen, Michael Riis; Vehtari, Aki; Winther, Ole; Hansen, Lars Kai.

    In: Journal of Machine Learning Research, Vol. 18, 2017.

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

  9. 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

  10. Published

    CloudScan - A Configuration-Free Invoice Analysis System Using Recurrent Neural Networks. / Palm, Rasmus Berg; Winther, Ole; Laws, Florian.

    Proceedings of 2017 14th IAPR International Conference on Document Analysis and Recognition . IEEE, 2017. p. 406-13 (2017 14th Iapr International Conference on Document Analysis and Recognition (icdar)).

    Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2018

  11. 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

  12. 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

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