Mikkel Nørgaard Schmidt

  1. 2017
  2. E-pub ahead of print

    A pseudo-Voigt component model for high-resolution recovery of constituent spectra in Raman spectroscopy. / Alstrøm, Tommy Sonne; Schmidt, Mikkel Nørgaard; Rindzevicius, Tomas; Boisen, Anja; Larsen, Jan.

    Proceedings of the 42nd IEEE International Conference on Acostics, Speech and Signal Processing. IEEE, 2017.

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

  3. 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

  4. 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

  5. Submitted

    Large Scale Computing for the Modelling of Whole Brain Connectivity. / Albers, Kristoffer Jon; Schmidt, Mikkel Nørgaard (Main supervisor); Mørup, Morten (Supervisor).

    DTU Compute, 2017. 224 p. (DTU Compute PHD-2017, Vol. 450).

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

  6. 2016
  7. 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

  8. Published

    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

  9. 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

  10. Published
  11. 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

  12. 2015
  13. 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

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