Mikkel Nørgaard Schmidt

  1. 2017
  2. Submitted

    Bayesian Modelling of Functional Whole Brain Connectivity. / Røge, Rasmus; Mørup, Morten (Main supervisor); Schmidt, Mikkel Nørgaard (Supervisor).

    Kgs. Lyngby : Technical University of Denmark (DTU), 2017. 149 p. (DTU Compute PHD-2017; No. 445).

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

  3. Published

    Examination of heterogeneous societies: Identifying subpopulations by contrasting cultures. / Glückstad, Fumiko Kano; Schmidt, Mikkel Nørgaard; Mørup, Morten.

    In: Journal of Cross-Cultural Psychology, Vol. 48, No. 1, 2017, p. 39– 57.

    Publication: Research - peer-reviewJournal article – Annual report year: 2016

  4. 2016
  5. Published

    Bayesian latent feature modeling for modeling bipartite networks with overlapping groups. / Jørgensen, Philip H. ; Mørup, Morten; Schmidt, Mikkel Nørgaard; Herlau, Tue.

    Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2016). IEEE, 2016.

    Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2016

  6. Accepted/In press

    Completely random measures for modelling block-structured sparse networks. / Herlau, Tue; Schmidt, Mikkel Nørgaard; Mørup, Morten.

    Advances in Neural Information Processing (NIPS 2016). Neural Information Processing Systems Foundation, 2016.

    Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2016

  7. Submitted

    Modeling Structural Brain Connectivity. / Ambrosen, Karen Marie Sandø; Mørup, Morten (Main supervisor); Dyrby, Tim Bjørn (Supervisor); Schmidt, Mikkel Nørgaard (Supervisor).

    Kgs. Lyngby : Technical University of Denmark (DTU), 2016. 70 p. (DTU Compute PHD-2016; No. 443).

    Publication: ResearchPh.D. thesis – Annual report year: 2016

  8. Published
  9. Published

    The influence of hyper-parameters in the infinite relational model. / Albers, Kristoffer Jon; Mørup, Morten; Schmidt, Mikkel Nørgaard.

    Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2016). IEEE, 2016.

    Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2016

  10. 2015
  11. Published

    Nonparametric modeling of dynamic functional connectivity in fmri data. / Nielsen, Søren Føns Vind; Madsen, Kristoffer H.; Røge, Rasmus; Schmidt, Mikkel Nørgaard; Mørup, Morten.

    Proceedings of the 5th NIPS Workshop on Machine Learning and Interpretation in Neuroimaging (MLINI 2015). 2015.

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

  12. Published

    Numerical approximations for speeding up mcmc inference in the infinite relational model. / Schmidt, Mikkel Nørgaard; Albers, Kristoffer Jon.

    Proceedings of the 23rd European Signal Processing Conference (EUSIPCO 2015). IEEE, 2015. p. 2781-2785 (Proceedings of the European Signal Processing Conference (EUSIPCO)).

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

  13. Published

    Statistical analysis of large areas of Raman mapped DNA functionalized gold coated silicon nanopillar SERS substrates. / Frøhling, Kasper Bayer; Alstrøm, Tommy Sonne; Bache, Michael; Schmidt, Michael Stenbæk; Schmidt, Mikkel Nørgaard; Larsen, Jan; Jakobsen, Mogens Havsteen; Boisen, Anja.

    2015. Abstract from 8th International Conference on Advanced Vibrational Spectroscopy, Vienna, Austria.

    Publication: Research - peer-reviewConference abstract for conference – Annual report year: 2015

Previous 1 2 3 4 5 6 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