Mikkel Nørgaard Schmidt

Mikkel Nørgaard Schmidt

Associate Professor

DTU COMPUTE
Department of Applied Mathematics and Computer Science

Technical University of Denmark

Richard Petersens Plads

Building 321, room 116

2800 Kgs. Lyngby

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2020
 

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     |    Year: 2020     |    DOI: https://doi.org/10.1016/j.neuroimage.2019.116207

2019
 

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, IEEE
Presented at:
44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019

Type: Article in proceedings (Peer reviewed)

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

  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, IEEE
Presented at:
2019 IEEE International Workshop on Machine Learning for Signal Processing

Type: Article in proceedings (Peer reviewed)

Status: Accepted/In press     |    Year: 2019

 

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:
Thirty-Third Annual Conference on Neural Information Processing Systems

Type: Article in proceedings (Peer reviewed)

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

 

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     |    Year: 2019     |    DOI: https://doi.org/10.1016/j.jbusres.2019.10.014

2018
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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     |    Year: 2018     |    DOI: https://doi.org/10.1002/minf.201700133

 

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     |    Year: 2018     |    DOI: https://doi.org/10.1016/j.spl.2018.08.011

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