• Richard Petersens Plads, 321, 116

    2800 Kgs. Lyngby

    Denmark

20052023

Research output per year

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Research Output

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

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

Vording, M. F., Okeyo, P. O., Rubio Guillamón, J. J., Schmidt, M. N., Larsen, P. E. & Alstrøm, T. S., 2019, Proceedings of 2019 IEEE International Workshop on Machine Learning for Signal Processing. IEEE, 6 p.

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Open Access
File
19 Downloads (Pure)

Analysis of Chromatographic Data using the Probabilistic PARAFAC2

Jørgensen, P. J. H., Nielsen, S. F. V., Hinrich, J. L., Schmidt, M. N., Madsen, K. H. & Mørup, M., 2019, Proceedings of Second Workshop on Machine Learning and the Physical Sciences. 5 p.

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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)

Peak Detection and Baseline Correction Using a Convolutional Neural Network

Schmidt, M. N., Alstrom, T. S., Svendstorp, M. & Larsen, J., 1 May 2019, Proceedings of 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 . IEEE, p. 2757-2761 8682311

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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)
131 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)

Testing a Model of Destination Image Formation: Application of Nonparametric Bayesian Relational Modeling to Destination Image Analysis

Glückstad, F. K., Schmidt, M. N. & Mørup, M., 2018, 2018 Global Marketing Conference at Tokyo Proceedings. Choi, J. (ed.). Global Alliance of Marketing and Management Associations, Vol. 2018. p. 63-64 2 p. (Global Fashion Management Conference).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Testing group differences in state transition structure of dynamic functional connectivity models

Nielsen, S. F. V., Vidaurre, D., Madsen, K. H., Schmidt, M. N. & Mørup, M., 2018, Proceedings of 2018 International Workshop on Pattern Recognition in Neuroimaging. IEEE, p. 1-4

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Understanding Mindsets Across Markets, Internationally: A Public-private Innovation Project for Developing a Tourist Data Analytic Platform

Albers, K. J., Schmidt, M. N., Litong-Palima, M., Mørup, M., Bonnevie, R. & Kano Glückstad, F., 2018, Proceedings of the 2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC). S. R., S. I. A., C. D., T. C., W. C., M. N., E. T., S. C., C-H. L., H. T., J-J. Y., T. A., Z. Z. & K. H. (eds.). IEEE, p. 159-164 6 p.

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

1 Downloads (Pure)
2017

A pseudo-Voigt component model for high-resolution recovery of constituent spectra in Raman spectroscopy

Alstrøm, T. S., Schmidt, M. N., Rindzevicius, T., Boisen, A. & Larsen, J., 2017, Proceedings of the 42nd IEEE International Conference on Acostics, Speech and Signal Processing. IEEE, p. 2317-21

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Open Access
File
364 Downloads (Pure)

Difference-of-Convex optimization for variational kl-corrected inference in dirichlet process mixtures

Bonnevie, R., Schmidt, M. N. & Mørup, M., 2017, Proceedings of 2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP). IEEE, p. 1-6 6 p.

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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)

Modeling dynamic functional connectivity using a wishart mixture model

Nielsen, S. F. V., Madsen, K. H., Schmidt, M. N. & Mørup, M., 2017, Proceedings of the 2017 International Workshop on Pattern Recognition in Neuroimaging. IEEE, p. 1-4 4 p. (2017 International Workshop on Pattern Recognition in Neuroimaging (prni)).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Open Access
File
295 Downloads (Pure)

Scalable group level probabilistic sparse factor analysis

Hinrich, J. L., Nielsen, S. F. V., Riis, N. A. B., Eriksen, C., Frøsig, J., Kristensen, M. D. F., Schmidt, M. N., Madsen, K. H. & Mørup, M., 2017, Proceedings of 2017 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, p. 6314-6318 (I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Whole-brain functional connectivity predicted by indirect structural connections

Røge, R., Ambrosen, K. M. S., Albers, K. J., Eriksen, C. T., Liptrot, M. G., Schmidt, M. N., Madsen, K. H. & Mørup, M., 2017, Proceedings of 2017 International Workshop on Pattern Recognition in Neuroimaging . IEEE, p. 4 pp. (2017 International Workshop on Pattern Recognition in Neuroimaging (prni)).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

2016

Bayesian latent feature modeling for modeling bipartite networks with overlapping groups

Jørgensen, P. H., Mørup, M., Schmidt, M. N. & Herlau, T., 2016, Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2016). IEEE, 6 p.

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Completely random measures for modelling block-structured sparse networks

Herlau, T., Schmidt, M. N. & Mørup, M., 2016, Advances in Neural Information Processing (NIPS 2016). Neural Information Processing Systems Foundation, 12 p.

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Open Access
File
108 Downloads (Pure)

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)

The influence of hyper-parameters in the infinite relational model

Albers, K. J., Mørup, M. & Schmidt, M. N., 2016, Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2016). IEEE, 6 p.

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

2015

Nonparametric modeling of dynamic functional connectivity in fmri data

Nielsen, S. F. V., Madsen, K. H., Røge, R., Schmidt, M. N. & Mørup, M., 2015, Proceedings of the 5th NIPS Workshop on Machine Learning and Interpretation in Neuroimaging (MLINI 2015). 8 p.

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Open Access
File
325 Downloads (Pure)

Numerical approximations for speeding up mcmc inference in the infinite relational model

Schmidt, M. N. & Albers, K. J., 2015, Proceedings of the 23rd European Signal Processing Conference (EUSIPCO 2015). IEEE, p. 2781-2785 (Proceedings of the European Signal Processing Conference).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Open Access
File
191 Downloads (Pure)

Statistical analysis of large areas of Raman mapped DNA functionalized gold coated silicon nanopillar SERS substrates

Frøhling, K. B., Alstrøm, T. S., Bache, M., Schmidt, M. S., Schmidt, M. N., Larsen, J., Jakobsen, M. H. & Boisen, A., 2015. 2 p.

Research output: Contribution to conferenceConference abstract for conferenceResearchpeer-review

Open Access
File
180 Downloads (Pure)

Unsupervised segmentation of task activated regions in fmRI

Røge, R., Madsen, K. H., Schmidt, M. N. & Mørup, M., 2015, Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2015). IEEE, 6 p.

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

2014

Community structure in resting state complex networks

Andersen, K. W., Madsen, K. H., Siebner, H. R., Schmidt, M. N., Mørup, M. & Hansen, L. K., 2014. 5 p.

Research output: Contribution to conferenceConference abstract for conferenceResearchpeer-review

Open Access
File
81 Downloads (Pure)

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

Discovering hierarchical structure in normal relational data

Schmidt, M. N., Herlau, T. & Mørup, M., 2014, Proceedings of the 4th International Workshop on Cognitive Information Processing. IEEE, 6 p.

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-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

Improving the robustness of Surface Enhanced Raman Spectroscopy based sensors by Bayesian Non-negative Matrix Factorization

Alstrøm, T. S., Frøhling, K. B., Larsen, J., Schmidt, M. N., Bache, M., Schmidt, M. S., Jakobsen, M. H. & Boisen, A., 2014, Proceedings of the 2014 IEEE International Workshop on Machine Learning for Signal Processing (MLSP) . Mboup, M., Adali, T., Moreau, É. & Larsen, J. (eds.). IEEE, 6 p.

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-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

Nonparametric Bayesian Clustering of Structural Whole Brain Connectivity in Full Image Resolution

Ambrosen, K. M. S., Albers, K. J., Dyrby, T. B., Schmidt, M. N. & Mørup, M., 2014, Proceedings of the 4th International Workshop on Pattern Recognition in Neuroimaging (PRNI 2014). IEEE, 4 p.

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-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

Nonparametric statistical structuring of knowledge systems using binary feature matches

Mørup, M., Glückstad, F. K., Herlau, T. & Schmidt, M. N., 2014, Proceedings of MLSP 2014. IEEE, 6 p.

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

2013

Analysis of Conceptualization Patterns across Groups of People

Glückstad, F. K., Herlau, T., Schmidt, M. N., Mørup, M., Rzepka, R. & Araki, K., 2013, 2013 Conference on Technologies and Applications of Artificial Intelligence. IEEE, p. 349-354

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Analysis of Subjective Conceptualizations Towards Collective Conceptual Modelling

Glückstad, F. K., Herlau, T., Schmidt, M. N. & Mørup, M., 2013, Proceedings of the 27th Annual Conference of the Japanese Society for Artificial Intelligence (JSAI 2013). Japanese Society for Artificial Intelligence, 8 p. Paper 795

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Comparing Structural Brain Connectivity by the Infinite Relational Model

Ambrosen, K. M. S., Herlau, T., Dyrby, T., Schmidt, M. N. & Mørup, M., 2013, 2013 International Workshop on Pattern Recognition in Neuroimaging (PRNI). IEEE, p. 50-53

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Large scale inference in the Infinite Relational Model: Gibbs sampling is not enough

Albers, K. J., Moth, A. L. A., Mørup, M. & Schmidt, M. N., 2013, 2013 IEEE International Workshop on Machine Learning for Signal Processing (MLSP). IEEE, 6 p. (Machine Learning for Signal Processing).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Modeling Temporal Evolution and Multiscale Structure in Networks

Herlau, T., Mørup, M. & Schmidt, M. N., 2013, Proceedings of the 30 th International Conference on Machine Learning. p. 960-968 (JMLR: Workshop and Conference Proceedings; No. Cycle 3, Vol. 28).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Open Access
File
128 Downloads (Pure)

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

Unsupervised knowledge structuring Application of Infinite Relational Models to the FCA visualization

Glückstad, F. K., Herlau, T., Schmidt, M. N. & Mørup, M., 2013, 2013 International Conference on Signal-Image Technology & Internet-Based Systems. IEEE, p. 233-240

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-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)

Detecting Hierarchical Structure in Networks

Herlau, T., Mørup, M., Schmidt, M. N. & Hansen, L. K., 2012, 2012 3rd International Workshop on Cognitive Information Processing (CIP). IEEE, 6 p.

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Haussdorff and hellinger for colorimetric sensor array classification

Alstrøm, T. S., Jensen, B. S., Schmidt, M. N., Kostesha, N. & Larsen, J., 2012, 2012 IEEE International Workshop on Machine Learning for Signal Processing (MLSP). 978-1-4673-1025-3: IEEE, 6 p. (Machine Learning for Signal Processing).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review