Felix Biessmann
Felix Biessmann
Einstein Center Digital Future, Beuth University, Amazon Research
Verified email at beuth-hochschule.de - Homepage
Title
Cited by
Cited by
Year
On the interpretation of weight vectors of linear models in multivariate neuroimaging
S Haufe, F Meinecke, K Görgen, S Dähne, JD Haynes, B Blankertz, ...
Neuroimage 87, 96-110, 2014
6642014
Linear and nonlinear regression techniques for simultaneous and proportional myoelectric control
JM Hahne, F Biessmann, N Jiang, H Rehbaum, D Farina, FC Meinecke, ...
Neural Systems and Rehabilitation Engineering, IEEE Transactions on 22 (2 …, 2014
2532014
Analysis of Multimodal Neuroimaging Data
F Bießmann, S Plis, FC Meinecke, T Eichele, KR Müller
IEEE Reviews in Biomedical Engineering 4, 26 - 58, 2011
1332011
Temporal kernel CCA and its application in multimodal neuronal data analysis
F Bießmann, FC Meinecke, A Gretton, A Rauch, G Rainer, NK Logothetis, ...
Machine Learning 79 (1-2), 5-27, 2010
922010
Decoding Three-Dimensional Trajectory of Executed and Imagined Arm Movements from Electroencephalogram Signals
JH Kim, F Biessmann, SW Lee
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2014
772014
Learning from more than one data source: data fusion techniques for sensorimotor rhythm-based brain–computer interfaces
S Fazli, S Dähne, W Samek, F Bießmann, KR Mueller
Proceedings of the IEEE 103 (6), 891-906, 2015
742015
Multivariate machine learning methods for fusing multimodal functional neuroimaging data
S Dähne, F Biessmann, W Samek, S Haufe, D Goltz, C Gundlach, ...
Proceedings of the IEEE 103 (9), 1507-1530, 2015
682015
Effects of stimulus type and of error-correcting code design on BCI speller performance
J Hill, J Farquhar, S Martens, F Bießmann, B Schölkopf
Advances in neural information processing systems, 665-672, 2009
612009
Automating large-scale data quality verification
S Schelter, D Lange, P Schmidt, M Celikel, F Biessmann, A Grafberger
Proceedings of the VLDB Endowment 11 (12), 1781-1794, 2018
472018
Simultaneous and proportional control of 2D wrist movements with myoelectric signals
JM Hahne, H Rehbaum, F Biessmann, FC Meinecke, KR Müller, N Jiang, ...
2012 IEEE international workshop on machine learning for signal processing, 1-6, 2012
352012
Regularized linear discriminant analysis of EEG features in dementia patients
E Neto, F Biessmann, H Aurlien, H Nordby, T Eichele
Frontiers in aging neuroscience 8, 273, 2016
322016
Stereoscopic depth increases intersubject correlations of brain networks
M Gaebler, F Biessmann, JP Lamke, KR Mueller, H Walter, S Hetzer
Neuroimage, 2014
322014
Integration of multivariate data streams with bandpower signals
S Dähne, F Bießmann, FC Meinecke, J Mehnert, S Fazli, KR Müller
IEEE Transactions on Multimedia 15 (5), 1001-1013, 2013
322013
On Challenges in Machine Learning Model Management
S Schelter, F Biessmann, T Januschowski, D Salinas, S Seufert, ...
Bulletin of the IEEE Computer Society Technical Committee on Data …, 2018
282018
Deep Learning for Missing Value Imputation in Tables with Non-Numerical Data
F Biessmann, D Salinas, S Schelter, P Schmidt, D Lange
Proceedings of the 27th ACM International Conference on Information and …, 2018
262018
Functional and laminar dissociations between muscarinic and nicotinic cholinergic neuromodulation in the tree shrew primary visual cortex
A Bhattacharyya, F Bießmann, J Veit, R Kretz, G Rainer
European Journal of Neuroscience 35 (8), 1270-1280, 2012
212012
Quantifying Interpretability and Trust in Machine Learning Systems
P Schmidt, F Biessmann
AAAI-19 Workshop on Network Interpretability for Deep Learning, 2019
162019
Improved decoding of neural activity from fMRI signals using non-separable spatiotemporal deconvolutions
F Bießmann, Y Murayama, NK Logothetis, KR Müller, FC Meinecke
NeuroImage 61 (4), 1031-1042, 2012
162012
On the interpretability of linear multivariate neuroimaging analyses: filters, patterns and their relationship
F Bießmann, S Dähne, FC Meinecke, B Blankertz, K Görgen, KR Müller, ...
Proceedings of the 2nd NIPS Workshop on Machine Learning and Interpretation …, 2012
122012
Reconstruction of hand movements from EEG signals based on non-linear regression
JH Kim, F Biessmann, SW Lee
Brain-Computer Interface (BCI), 2014 International Winter Workshop on, 1-3, 2014
112014
The system can't perform the operation now. Try again later.
Articles 1–20