This site features a curated list of the publications, where I have made a significant contribution.

TLDR: Link to Google scholar (potentially more up-to-date)

Journal publications

  • S. F. Nielsen, F. Da Ros, M. N. Schmidt, and D. Zibar, “End-to-End Learning of Transmitter and Receiver Filters in Bandwidth Limited Fiber Optic Communication Systems,” Journal of Lightwave Technology, pp. 1–12, 2025, doi: 10.1109/JLT.2025.3528542.
  • S. F. Nielsen, D. Zibar, and M. N. Schmidt, “Blind Equalization using a Variational Autoencoder with Second Order Volterra Channel Model,” Oct. 21, 2024, arXiv: arXiv:2410.16125. doi: 10.48550/arXiv.2410.16125. (Under review)
  • S. F. V. Nielsen, M. N. Schmidt, K. H. Madsen, and M. Mørup, “Predictive assessment of models for dynamic functional connectivity,” NeuroImage, vol. 171, pp. 116–134, May 2018, doi: 10.1016/j.neuroimage.2017.12.084.
  • S. F. V. Nielsen, K. H. Madsen, M. Vinberg, L. V. Kessing, H. R. Siebner, and K. W. Miskowiak, “Whole-Brain Exploratory Analysis of Functional Task Response Following Erythropoietin Treatment in Mood Disorders: A Supervised Machine Learning Approach,” Frontiers in Neuroscience, vol. 13, 2019. Available: https://www.frontiersin.org/articles/10.3389/fnins.2019.01246

Peer-reviewed conference publications

  • S. F. V. Nielsen, K. H. Madsen, M. N. Schmidt, and M. Mørup, “Modeling dynamic functional connectivity using a wishart mixture model,” in 2017 International Workshop on Pattern Recognition in Neuroimaging (PRNI), Jun. 2017, pp. 1–4. doi: 10.1109/PRNI.2017.7981505.
  • S. F. V. Nielsen and M. Mørup, “Non-negative Tensor Factorization with missing data for the modeling of gene expressions in the Human Brain,” in 2014 IEEE International Workshop on Machine Learning for Signal Processing (MLSP), Sep. 2014, pp. 1–6. doi: 10.1109/MLSP.2014.6958919.
  • S. F. V. Nielsen, K. H. Madsen, R. Røge, M. N. Schmidt, and M. Mørup, “Nonparametric Modeling of Dynamic Functional Connectivity in fMRI Data.” arXiv, Jun. 08, 2016. doi: 10.48550/arXiv.1601.00496.
  • S. F. V. Nielsen et al., “Evaluating Models of Dynamic Functional Connectivity Using Predictive Classification Accuracy,” in 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr. 2018, pp. 2566–2570. doi: 10.1109/ICASSP.2018.8462310.
  • S. F. V. Nielsen, D. Vidaurre, K. H. Madsen, M. N. Schmidt, and M. Mørup, “Testing group differences in state transition structure of dynamic functional connectivity models,” in 2018 International Workshop on Pattern Recognition in Neuroimaging (PRNI), Jun. 2018, pp. 1–4. doi: 10.1109/PRNI.2018.8423966.