| Discovery of key whole-brain transitions and dynamics during human wakefulness and non-REM sleep ABA Stevner, D Vidaurre, J Cabral, K Rapuano, SFV Nielsen, ... Nature communications 10 (1), 1035, 2019 | 184 | 2019 |
| Predictive assessment of models for dynamic functional connectivity SFV Nielsen, MN Schmidt, KH Madsen, M Mørup Neuroimage 171, 116-134, 2018 | 20 | 2018 |
| Nonparametric modeling of dynamic functional connectivity in fMRI data SFV Nielsen, KH Madsen, R Røge, MN Schmidt, M Mørup 5th NIPS Workshop on Machine Learning and Interpretation in Neuroimaging …, 2015 | 15 | 2015 |
| Non-negative tensor factorization with missing data for the modeling of gene expressions in the human brain SFV Nielsen, M Mørup 2014 IEEE International Workshop on Machine Learning for Signal Processing …, 2014 | 10 | 2014 |
| Probabilistic parafac2 PJH Jørgensen, SFV Nielsen, JL Hinrich, MN Schmidt, KH Madsen, ... arXiv preprint arXiv:1806.08195, 2018 | 7 | 2018 |
| Analysis of chromatographic data using the probabilistic parafac2 PJH Jørgensen, SFV Nielsen, JL Hinrich, MN Schmidt, KH Madsen, ... 33rd Conference on Neural Information Processing Systems, 2019 | 6 | 2019 |
| Variational Bayesian partially observed non-negative tensor factorization JL Hinrich, SFV Nielsen, KH Madsen, M Mørup 2018 IEEE 28th international workshop on machine learning for signal …, 2018 | 6 | 2018 |
| Modeling dynamic functional connectivity using a wishart mixture model SFV Nielsen, KH Madsen, MN Schmidt, M Mørup 2017 International Workshop on Pattern Recognition in Neuroimaging (PRNI), 1-4, 2017 | 4 | 2017 |
| Whole-brain exploratory analysis of functional task response following erythropoietin treatment in mood disorders: a supervised machine learning approach SFV Nielsen, KH Madsen, M Vinberg, LV Kessing, HR Siebner, ... Frontiers in Neuroscience 13, 461110, 2019 | 3 | 2019 |
| Variational group-pca for intrinsic dimensionality determination in fmri data JL Hinrich, SFV Nielsen, KH Madsen, M Morup 2016 International Workshop on Pattern Recognition in Neuroimaging (PRNI), 1-4, 2016 | 3 | 2016 |
| Temporally intermittent communities in brain fMRI correlation networks U Aslak, SFV Nielsen, M Mørup, S Lehmann Applied Network Science 4 (1), 65, 2019 | 2 | 2019 |
| Scalable group level probabilistic sparse factor analysis JL Hinrich, SFV Nielsen, NAB Riis, CT Eriksen, J Frøsig, MDF Kristensen, ... 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 2 | 2017 |
| Evaluating models of dynamic functional connectivity using predictive classification accuracy SFV Nielsen, Y Levin-Schwartz, D Vidaurre, T Adali, VD Calhoun, ... 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 1 | 2018 |
| End-to-End Learning of Pulse-Shaper and Receiver Filter in the Presence of Strong Intersymbol Interference SF Nielsen, F Da Ros, MN Schmidt, D Zibar arXiv preprint arXiv:2405.13367, 2024 | | 2024 |
| Testing group differences in state transition structure of dynamic functional connectivity models SFV Nielsen, D Vidaurre, KH Madsen, MN Schmidt, M Mørup 2018 International Workshop on Pattern Recognition in Neuroimaging (PRNI), 1-4, 2018 | | 2018 |
| Modeling Temporal Dynamics in Functional Brain Connectivity SFV Nielsen DTU Compute, 2018 | | 2018 |
| Functional Connectivity using a Wishart Mixture Model SFV Nielsen, KH Madsen, MN Schmidt, M Mørup | | 2017 |
| Modelling Dynamic Functional Brain Connectivity SFV Nielsen MA thesis. Technical University of Denmark, 2015 | | 2015 |
| Classification of Own Voice in Hearing Aids SFV Nielsen Technical University of Denmark,{DTU} Compute,{E-} mail: compute@ compute …, 2013 | | 2013 |
Morten MørupSection for Cognitive Systems, Technical University of Denmark在 dtu.dk 的电子邮件经过验证
