Felix Biessmann

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Frank C. MeineckeResearch Associate, TU BerlinVerified email at tu-berlin.de
Klaus-Robert MüllerTU Berlin & Korea University & MPII & Google BrainVerified email at tu-berlin.de
Sven DähneAmazonVerified email at amazon.com
Sebastian SchelterAssistant Professor at University of AmsterdamVerified email at uva.nl
Stefan HaufeCharité - Universitätsmedizin BerlinVerified email at charite.de
Philipp SchmidtAmazonVerified email at amazon.com
Siamac FazliNazarbayev UniversityVerified email at nu.edu.kz
Kai GörgenBCCN BerlinVerified email at bccn-berlin.de
Benjamin BlankertzTechnische Universität Berlin, Neurotechnology groupVerified email at tu-berlin.de
Nikos LogothetisVisiting Professor of Neuroscience, Stanford UniversityVerified email at stanford.edu
Dustin LangeAmazonVerified email at amazon.com
John-Dylan HaynesProfessor for Theory and Analysis of Large-Scale Brain Signals, Charite - Universitätsmedizin Berlin, GermanyVerified email at bccn-berlin.de
Gregor RainerProfessor, University of FribourgVerified email at unifr.ch
Tammo RukatUniversity of OxfordVerified email at dtc.ox.ac.uk
Janne M. HahneUniversity Medical Center, Georg-August University GoettingenVerified email at bccn.uni-goettingen.de
Ning JiangDepartment of Systems Design Engineering, University of WaterlooVerified email at uwaterloo.ca
Prof. Dr. Dario FarinaProfessor and Chair in Neurorehabilitation Engineering, Dept. Bioengineering, Imperial CollegeVerified email at imperial.ac.uk
Lucas C. ParraProfessor of Biomedical Engineering, City College of New York, CUNYVerified email at ccny.cuny.edu
Hubertus RehbaumDr. Rehbaum Technology Consulting GmbHVerified email at rehbaum.info
Wojciech SamekHead of AI Department and Explainable AI Group, Fraunhofer HHI, GermanyVerified email at hhi.fraunhofer.de

Felix Biessmann

Einstein Center Digital Future, Beuth University, Amazon Research

Verified email at beuth-hochschule.de - Homepage

Machine Learning


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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	744	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	271	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	138	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	97	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	90	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 Müller Proceedings of the IEEE 103 (6), 891-906, 2015	82	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	75	2015
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	70	2018
Effects of Stimulus Type and of Error-Correcting Code Design on BCI Speller Performance. NJ Hill, J Farquhar, S Martens, F Bießmann, B Schölkopf NIPS, 665-672, 2008	64	2008
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	49	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	38	2012
Stereoscopic depth increases intersubject correlations of brain networks M Gaebler, F Biessmann, JP Lamke, KR Mueller, H Walter, S Hetzer Neuroimage, 2014	37	2014
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	34	2016
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	34	2013
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	33	2018
Quantifying Interpretability and Trust in Machine Learning Systems P Schmidt, F Biessmann AAAI-19 Workshop on Network Interpretability for Deep Learning, 2019	31	2019
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	22	2012
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	17	2012
DataWig: Missing Value Imputation for Tables. F Biessmann, T Rukat, P Schmidt, P Naidu, S Schelter, A Taptunov, ... Journal of Machine Learning Research 20 (175), 1-6, 2019	14	2019
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	13	2012

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