• Richard Petersens Plads, 321, 116

    2800 Kgs. Lyngby

    Denmark

20052023

Research output per year

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Research Output

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Journal article
2020

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

Glückstad, F. K., Schmidt, M. N. & Mørup, M., 2020, (Accepted/In press) In : Journal of Business Research. 13 p.

Research output: Contribution to journalJournal articleResearchpeer-review

Validation of structural brain connectivity networks: The impact of scanning parameters

Ambrosen, K. S., Eskildsen, S. F., Hinne, M., Krug, K., Lundell, H., Schmidt, M. N., van Gerven, M. A. J., Mørup, M. & Dyrby, T. B., 1 Jan 2020, In : NeuroImage. 204, 13 p., 116207.

Research output: Contribution to journalJournal articleResearchpeer-review

2019

Deep Learning Spectroscopy: Neural Networks for Molecular Excitation Spectra

Ghosh, K., Stuke, A., Todorović, M., Jørgensen, P. B., Schmidt, M. N., Vehtari, A. & Rinke, P., 2019, In : Advanced Science. 6, 7 p., 1801367.

Research output: Contribution to journalJournal articleResearchpeer-review

Open Access
File
183 Downloads (Pure)

Materials property prediction using symmetry-labeled graphs as atomic position independent descriptors

Jørgensen, P. B., Garijo del Río, E., Schmidt, M. N. & Jacobsen, K. W., 2019, In : Physical Review B. 100, 10, 12 p., 104114.

Research output: Contribution to journalJournal articleResearchpeer-review

Open Access
File
70 Downloads (Pure)
2018

Deep Generative Models for Molecular Science

Jørgensen, P. B., Schmidt, M. N. & Winther, O., 2018, In : Molecular Informatics. 37, 1-2, 9 p., 1700133.

Research output: Contribution to journalJournal articleResearchpeer-review

Open Access
File
679 Downloads (Pure)

Efficient computation for Bayesian comparison of two proportions

Schmidt, M. N. & Mørup, M., 2018, In : Statistics and Probability Letters. 145, p. 57-62

Research output: Contribution to journalJournal articleResearchpeer-review

Machine learning-based screening of complex molecules for polymer solar cells

Jørgensen, P. B., Mesta, M., Shil, S., García Lastra, J. M., Jacobsen, K. W., Thygesen, K. S. & Schmidt, M. N., 2018, In : Journal of Chemical Physics. 148, 13 p., 241735.

Research output: Contribution to journalJournal articleResearchpeer-review

Open Access
File
813 Downloads (Pure)

Predictive assessment of models for dynamic functional connectivity

Nielsen, S. F. V., Schmidt, M. N., Madsen, K. H. & Mørup, M., 2018, In : NeuroImage. 171, 35 p.

Research output: Contribution to journalJournal articleResearchpeer-review

Open Access
File
176 Downloads (Pure)
2017

Examination of heterogeneous societies: Identifying subpopulations by contrasting cultures

Glückstad, F. K., Schmidt, M. N. & Mørup, M., 2017, In : Journal of Cross-Cultural Psychology. 48, 1, p. 39– 57 19 p.

Research output: Contribution to journalJournal articleResearchpeer-review

Open Access
File
238 Downloads (Pure)

Infinite von Mises-Fisher Mixture Modeling of Whole Brain fMRI Data

Røge, R., Madsen, K. H., Schmidt, M. N. & Mørup, M., 2017, In : Neural Computation. 29, 10, p. 2712-2741

Research output: Contribution to journalJournal articleResearchpeer-review

Open Access
File
410 Downloads (Pure)
2016

Surface-enhanced Raman spectroscopic study of DNA and 6-mercapto-1-hexanol interactions using large area mapping

Frøhling, K. B., Alstrøm, T. S., Bache, M., Schmidt, M. S., Schmidt, M. N., Larsen, J., Jakobsen, M. H. & Boisen, A., 2016, In : Vibrational Spectroscopy. 86, p. 331-336

Research output: Contribution to journalJournal articleResearchpeer-review

Open Access
File
313 Downloads (Pure)
2014

Cross-categorization of legal concepts across boundaries of legal systems: in consideration of inferential links

Glückstad, F. K., Herlau, T., Schmidt, M. N. & Mørup, M., Mar 2014, In : Artificial Intelligence and Law. 22, 1, p. 61-108 48 p.

Research output: Contribution to journalJournal articleResearchpeer-review

Errata to "Bayesian community detection": [Neural computation, sept. 2012, vol. 24, no. 9:2434-2456]

Mørup, M. & Schmidt, M. N., 2014, In : Neural Computation. 26, 6, p. 1236-1237

Research output: Contribution to journalJournal articleResearchpeer-review

Infinite-degree-corrected stochastic block model

Herlau, T., Schmidt, M. N. & Mørup, M., 2014, In : Physical Review E. 90, 3, 7 p., 032819.

Research output: Contribution to journalJournal articleResearchpeer-review

Joint Iterative Carrier Synchronization and Signal Detection Employing Expectation Maximization

Zibar, D., de Carvalho, L. H. H., Estaran Tolosa, J. M., Silva, E., Franciscangelis, C., Ribeiro, V., Borkowski, R., Winther, O., Schmidt, M. N., Oliveira, J. & Tafur Monroy, I., 2014, In : Journal of Lightwave Technology. 32, 8, p. 1608-1615

Research output: Contribution to journalJournal articleResearchpeer-review

Non-parametric Bayesian graph models reveal community structure in resting state fMRI

Andersen, K. W., Madsen, K. H., Siebner, H. R., Schmidt, M. N., Mørup, M. & Hansen, L. K., 2014, In : NeuroImage. 100, p. 301-315

Research output: Contribution to journalJournal articleResearchpeer-review

2013

Nonparametric Bayesian Modeling of Complex Networks: An Introduction

Schmidt, M. N. & Mørup, M., 2013, In : I E E E - Signal Processing Magazine. 30, 3, p. 110-128

Research output: Contribution to journalJournal articleResearchpeer-review

2012

Bayesian community detection.

Mørup, M. & Schmidt, M. N., 2012, In : Neural Computation. 24, 9, p. 2434-2456

Research output: Contribution to journalJournal articleResearchpeer-review

File
1423 Downloads (Pure)

Nonlinear impairment compensation using expectation maximization for dispersion managed and unmanaged PDM 16-QAM transmission

Zibar, D., Winther, O., Franceschi, N., Borkowski, R., Caballero Jambrina, A., Arlunno, V., Schmidt, M. N., Guerrero Gonzalez, N., Mao, B., Ye, Y., Larsen, K. J. & Tafur Monroy, I., 2012, In : Optics Express. 20, 26, p. B181-B196

Research output: Contribution to journalJournal articleResearchpeer-review

Open Access
File
569 Downloads (Pure)
2011

Unmixing of Hyperspectral Images using Bayesian Non-negative Matrix Factorization with Volume Prior

Arngren, M., Schmidt, M. N. & Larsen, J., 2011, In : Journal of Signal Processing Systems. 65, 3, p. 479-496

Research output: Contribution to journalJournal articleResearchpeer-review

2008

Non-negative matrix factorization with Gaussian process priors

Schmidt, M. N. & Laurberg, H., 2008, In : Computational Intelligence and Neuroscience. 2008, 10 p., 361705.

Research output: Contribution to journalJournal articleResearchpeer-review

Open Access
File
339 Downloads (Pure)