Sven Dähne
According to our database1,
Sven Dähne
authored at least 26 papers
between 2010 and 2019.
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Bibliography
2019
Proceedings of the Explainable AI: Interpreting, 2019
2018
Proceedings of the 6th International Conference on Learning Representations, 2018
2017
CoRR, 2017
2016
Investigating the influence of noise and distractors on the interpretation of neural networks.
CoRR, 2016
Proceedings of the Symbiotic Interaction, 2016
2015
Learning From More Than One Data Source: Data Fusion Techniques for Sensorimotor Rhythm-Based Brain-Computer Interfaces.
Proc. IEEE, 2015
Multivariate Machine Learning Methods for Fusing Multimodal Functional Neuroimaging Data.
Proc. IEEE, 2015
Identifying Granger causal relationships between neural power dynamics and variables of interest.
NeuroImage, 2015
Proceedings of the 2015 International Workshop on Pattern Recognition in NeuroImaging, 2015
Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015
Probing meaningfulness of oscillatory EEG components with bootstrapping, label noise and reduced training sets.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
2014
PLoS Comput. Biol., 2014
On the interpretation of weight vectors of linear models in multivariate neuroimaging.
NeuroImage, 2014
NeuroImage, 2014
SPoC: A novel framework for relating the amplitude of neuronal oscillations to behaviorally relevant parameters.
NeuroImage, 2014
Parameter interpretation, regularization and source localization in multivariate linear models.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014
Optimizing spatial filters for the extraction of envelope-coupled neural oscillations.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014
Proceedings of the 2014 International Winter Workshop on Brain-Computer Interface, 2014
2013
IEEE Trans. Multim., 2013
Artif. Intell. Medicine, 2013
2011
Slow Feature Analysis - A Tool for Extraction of Discriminating Event-Related Potentials in Brain-Computer Interfaces.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011
2010
Pyff - A Pythonic Framework for Feedback Applications and Stimulus Presentation in Neuroscience.
Frontiers Neuroinformatics, 2010