• Richard Petersens Plads, 321, 112

    2800 Kgs. Lyngby

    Denmark

20162019

Research output per year

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Research Output

  • 7 Article in proceedings
  • 3 Journal article
2016

Archetypal Analysis for Modeling Multisubject fMRI Data

Hinrich, J. L., Bardenfleth, S. E., Røge, R., Churchill, N. W., Madsen, K. H. & Mørup, M., 2016, In : I E E E Journal on Selected Topics in Signal Processing. 10, 7, p. 1160-1171

Research output: Contribution to journalJournal articleResearchpeer-review

1 Downloads (Pure)

Variational group-PCA for intrinsic dimensionality determination in fMRI data

Hinrich, J. L., Nielsen, S. F. V., Madsen, K. H. & Mørup, M., 2016, Proceedings of the 6th International Workshop on Pattern Recognition in Neuroimaging (PRNI 2016). IEEE, 4 p.

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

2017

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

Sparse Probabilistic Parallel Factor Analysis for the Modeling of PET and Task-fMRI Data

Beliveau, V., Papoutsakis, G., Hinrich, J. L. & Mørup, M., 2017, Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging. Springer, Vol. 10081. p. 186-198 (Lecture Notes in Computer Science, Vol. 10081).

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

2018

Probabilistic sparse non-negative matrix factorization

Hinrich, J. L. & Mørup, M., 2018, Latent Variable Analysis and Signal Separation: 14th International Conference, LVA/ICA 2018, Guildford, UK, July 2–5, 2018, Proceedings. Y. D., S. G., R. M., M. D. P. & D. W. (eds.). p. 488-498 11 p. (Lecture Notes in Computer Science, Vol. 10891).

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

Variational bayesian partially observed non-negative tensor factorization

Hinrich, J. L., Nielsen, S. F. V., Madsen, K. H. & Mørup, M., 2018, Proceedings of 2018 IEEE 28th International Workshop on Machine Learning for Signal Processing. IEEE, p. 1-6 6 p.

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

3 Downloads (Pure)
2019

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

Classification of social anhedonia using temporal and spatial network features from a social cognition fMRI task

Krohne, L. G., Wang, Y., Hinrich, J. L., Mørup, M., Chan, R. C. K. & Madsen, K. H., 2019, In : Human Brain Mapping. 40, 17, p. 4965-4981 17 p.

Research output: Contribution to journalJournal articleResearchpeer-review

Probabilistic Tensor Train Decomposition

Hinrich, J. L. & Mørup, M., 2019, Proceedings of 2019 27th European Signal Processing Conference. IEEE, 5 p.

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

Social ties between team members affect patient satisfaction: a data-driven approach to handling complex network analyses

Andersen, B. R., Hinrich, J. L., Rasmussen, M. B., Lehmann, S., Ringsted, C., Løkkegaard, E. & Tolsgaard, M. G., 1 Jan 2019, In : Advances in Health Sciences Education. 26 p.

Research output: Contribution to journalJournal articleResearchpeer-review