| 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 | 664 | 2014 |
| 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 | 253 | 2014 |
| Analysis of Multimodal Neuroimaging Data F Bießmann, S Plis, FC Meinecke, T Eichele, KR Müller IEEE Reviews in Biomedical Engineering 4, 26 - 58, 2011 | 133 | 2011 |
| 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 | 92 | 2010 |
| 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 | 77 | 2014 |
| 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 | 74 | 2015 |
| 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 | 68 | 2015 |
| 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 | 61 | 2009 |
| 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 | 47 | 2018 |
| 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 | 35 | 2012 |
| 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 | 32 | 2016 |
| Stereoscopic depth increases intersubject correlations of brain networks M Gaebler, F Biessmann, JP Lamke, KR Mueller, H Walter, S Hetzer Neuroimage, 2014 | 32 | 2014 |
| 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 | 32 | 2013 |
| 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 | 28 | 2018 |
| 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 | 26 | 2018 |
| 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 | 21 | 2012 |
| Quantifying Interpretability and Trust in Machine Learning Systems P Schmidt, F Biessmann AAAI-19 Workshop on Network Interpretability for Deep Learning, 2019 | 16 | 2019 |
| 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 | 16 | 2012 |
| 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 | 12 | 2012 |
| 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 | 11 | 2014 |
Frank C. MeineckeResearch Associate, TU BerlinVerified email at tu-berlin.de
