Ole Winther

  1. 2015
  2. Accepted

    Deep Belief Nets for Topic Modeling. / Maaløe, Lars; Arngren, Morten; Winther, Ole.

    Proceedings of the 31st International Conference on Machine Learning (ICML 2014): JMLR Workshop and Conference Proceedings. ed. / Eric P. Xing; Tony Jebara. Vol. 32 2015.

    Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2015

  3. 2014
  4. Published

    Bone Signaling in Middle Ear Development: A Genome‐Wide Differential Expression Analysis. / Nielsen, Michelle Christine; Bertelsen, Tomas Martin; Friis, Morten; Winther, Ole; Friis‐Hansen, Lennart; Cayé‐Thomasen, Per; Sørensen, Mads Sølvsten.

    In: Anatomical Record, Vol. 297, No. 12, 2014, p. 2349-2355.

    Publication: Research - peer-reviewJournal article – Annual report year: 2014

  5. Published

    MicroRNA expression analysis and Multiplex ligation-dependent probe amplification in metastatic and non-metastatic uveal melanoma. / Larsen, Ann-Cathrine; Holst, Line; Kaczkowski, Bogumil; Andersen, Morten T.; Manfe, Valentina; Siersma, Volkert D.; Kolko, Miriam; Kiilgaard, Jens F.; Winther, Ole; Prause, Jan U.; Gniadecki, Robert; Heegaard, Steffen.

    In: Acta Ophthalmologica, Vol. 92, No. 6, 2014, p. 541-549.

    Publication: Research - peer-reviewJournal article – Annual report year: 2014

  6. Published

    Model Selection in Data Analysis Competitions. / Wind, David Kofoed; Winther, Ole.

    Meta-learning and Algorithm Selection: Proceedings of the International Workshop on Meta-learning and Algorithm Selection co-located with 21st European Conference on Artificial Intelligence (ECAI 2014). ed. / Joaquin Vanschoren; Pavel Brazdil; Carlos Soares; Lars Kotthoff. 2014. p. 55-60 (CEUR Workshop Proceedings, Vol. 1202).

    Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2014

  7. Published

    S-AMP: Approximate Message Passing for General Matrix Ensembles. / Cakmak, Burak ; Winther, Ole; Fleury, Bernard H. .

    Proceedings of 2014 IEEE Information Theory Workshop (ITW). IEEE, 2014. p. 192-196.

    Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2014

  8. 2013
  9. Published

    FindZebra: A search engine for rare diseases. / Dragusin, Radu; Petcu, Paula; Lioma, Christina Amalia; Larsen, Birger; Jørgensen, Hans Henrik; Cox, Ingemar; Hansen, Lars Kai; Ingwersen, Peter; Winther, Ole.

    In: International Journal of Medical Informatics, Vol. 82, No. 6, 2013, p. 528–538.

    Publication: Research - peer-reviewJournal article – Annual report year: 2013

  10. Published

    Kernel Methods for Machine Learning with Life Science Applications. / Abrahamsen, Trine Julie; Hansen, Lars Kai (Main supervisor); Winther, Ole (Supervisor).

    Kgs. Lyngby : Technical University of Denmark, 2013. 168 p. (PHD-2013; No. 299).

    Publication: ResearchPh.D. thesis – Annual report year: 2013

  11. Published

    Perturbative corrections for approximate inference in gaussian latent variable models. / Opper, Manfred; Paquet, Ulrich; Winther, Ole.

    In: Journal of Machine Learning Research, Vol. 14, 2013, p. 2857-2898.

    Publication: Research - peer-reviewJournal article – Annual report year: 2013

  12. 2012
  13. Published

    A hierarchical model for ordinal matrix factorization. / Paquet, Ulrich; Thomson, Blaise; Winther, Ole.

    In: Statistics and Computing, Vol. 22, No. 4, 2012, p. 945-957.

    Publication: Research - peer-reviewJournal article – Annual report year: 2011

  14. Published

    A Machine-Learning Approach to Predict Main Energy Consumption under Realistic Operational Conditions. / Petersen, Joan P; Winther, Ole; Jacobsen, Daniel J.

    In: Ship Technology Research, Vol. 59, No. 1, 2012, p. 64-72.

    Publication: ResearchJournal article – Annual report year: 2012

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