Mikkel Nørgaard Schmidt

Mikkel Nørgaard Schmidt

Lektor

DTU COMPUTE
Institut for Matematik og Computer Science

Danmarks Tekniske Universitet

Richard Petersens Plads

Bygning 321, rum 116

2800 Kgs. Lyngby

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2020
 

Predictive evaluation of human value segmentations

Albers, Kristoffer Jon ; Mørup, Morten ; Schmidt, Mikkel N. ; Glückstad, Fumiko Kano
in: Journal of Mathematical Sociology

Type: Journal article (Peer reviewed)

Status: Accepted/In press     |    År: 2020     |    DOI: https://doi.org/10.1080/0022250X.2020.1811277

 

Testing a model of destination image formation: Application of Bayesian relational modelling and fsQCA

Glückstad, Fumiko Kano ; Schmidt, Mikkel Nørgaard ; Mørup, Morten
in: Journal of Business Research

Type: Journal article (Peer reviewed)

Status: Accepted/In press     |    År: 2020     |    DOI: https://doi.org/10.1016/j.jbusres.2019.10.014

  PDF

Validation of structural brain connectivity networks

Ambrosen, Karen S. ; Eskildsen, Simon F. ; Hinne, Max ; Krug, Kristine ; Lundell, Henrik ; Schmidt, Mikkel N. ; van Gerven, Marcel A.J. ; Mørup, Morten ; Dyrby, Tim B.
in: NeuroImage, vol: 204

Type: Journal article (Peer reviewed)

Status: Published     |    År: 2020     |    DOI: https://doi.org/10.1016/j.neuroimage.2019.116207

2019
  PDF

A Bayesian Generative Model With Gaussian Process Priors For Thermomechanical Analysis Of Micro-Resonators

Vording, Maximillian Fornitz ; Okeyo, Peter O. ; Rubio Guillamón, Juan José ; Schmidt, Mikkel Nørgaard ; Larsen, Peter Emil ; Alstrøm, Tommy Sonne
part of: Proceedings of 2019 IEEE International Workshop on Machine Learning for Signal Processing, 2019
Presented at:
2019 IEEE International Workshop on Machine Learning for Signal Processing

Type: Article in proceedings (Peer reviewed)

Status: Published     |    År: 2019     |    DOI: https://doi.org/10.1109/MLSP.2019.8918876

  PDF

Analysis of Chromatographic Data using the Probabilistic PARAFAC2

Jørgensen, Philip Johan Havemann ; Nielsen, Søren F. V. ; Hinrich, Jesper Løve ; Schmidt, Mikkel Nørgaard ; Madsen, Kristoffer Hougaard ; Mørup, Morten
part of: Proceedings of Second Workshop on Machine Learning and the Physical Sciences, 2019
Presented at:
33rd Conference on Neural Information Processing Systems

Type: Article in proceedings (Peer reviewed)

Status: Published     |    År: 2019

  PDF

Deep Learning Spectroscopy

Ghosh, Kunal ; Stuke, Annika ; Todorović, Milica ; Jørgensen, Peter Bjørn ; Schmidt, Mikkel N. ; Vehtari, Aki ; Rinke, Patrick
in: Advanced Science, vol: 6

Type: Journal article (Peer reviewed)

Status: Published     |    År: 2019     |    DOI: https://doi.org/10.1002/advs.201801367

 

Peak Detection and Baseline Correction Using a Convolutional Neural Network

Schmidt, Mikkel N. ; Alstrom, Tommy S. ; Svendstorp, Marcus ; Larsen, Jan
part of: Proceedings of 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 , pages: 2757-2761, 2019
Presented at:
44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019

Type: Article in proceedings (Peer reviewed)

Status: Published     |    År: 2019     |    DOI: https://doi.org/10.1109/ICASSP.2019.8682311

2018
  PDF

Deep Generative Models for Molecular Science

Jørgensen, Peter Bjørn ; Schmidt, Mikkel Nørgaard ; Winther, Ole
in: Molecular Informatics, vol: 37, issue: 1-2

Type: Journal article (Peer reviewed)

Status: Published     |    År: 2018     |    DOI: https://doi.org/10.1002/minf.201700133

  PDF

Efficient computation for Bayesian comparison of two proportions

Schmidt, Mikkel Nørgaard ; Mørup, Morten
in: Statistics and Probability Letters, vol: 145, pages: 57-62

Type: Journal article (Peer reviewed)

Status: Published     |    År: 2018     |    DOI: https://doi.org/10.1016/j.spl.2018.08.011