Moritz Grosse-Wentrup

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Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHVerified email at tuebingen.mpg.de
Vinay JayaramResearch Scientist, MetaVerified email at tue.mpg.de
Jan PetersProfessor for Intelligent Autonomous Systems/TU Darmstadt, Dept. Head/German AI Research Center DFKIVerified email at ias.tu-darmstadt.de
Jeremy HillNational Center for Adaptive Neurotechnologies; Stratton VA Medical Center, Albany, NY, USAVerified email at med.cornell.edu
Sebastian WeichwaldUniversity of Copenhagen / formerly Max Planck Institute for Intelligent Systems, ETH ZurichVerified email at math.ku.dk
Matthias R. HohmannAlumnus, Max Planck Institute for Intelligent Systems, Tübingen, GermanyVerified email at tuebingen.mpg.de
Ozan ÖzdenizciMontanuniversität LeobenVerified email at unileoben.ac.at
Alireza GharabaghiInstitute for Neuromodulation and Neurotechnology, University of TuebingenVerified email at uni-tuebingen.de
Dominik JanzingAmazon Development Center, TuebingenVerified email at amazon.com
Yasemin AltunGoogle ResearchVerified email at google.com
Morteza AlamgirVerified email at informatik.uni-hamburg.de
Klaus GramannTechnische Universität BerlinVerified email at tu-berlin.de
Manuel Gomez RodriguezFaculty, Max Planck Institute for Software Systems (MPI-SWS)Verified email at mpi-sws.org
Mujdat CetinUniversity of RochesterVerified email at rochester.edu
Tonio BallNeuromedical AI Lab Uni Freiburg, NeuroMentum AI (CEO)Verified email at uniklinik-freiburg.de
Thorsten O. ZanderLichtenberg Professor for Neuroadaptive Human-Computer Interaction at TU BrandenburgVerified email at b-tu.de
David BalduzziXTX MarketsVerified email at google.com
Charles Andersonprofessor of computer science, Colorado State University. Founder Pattern Exploration, LLC.Verified email at colostate.edu
Dean KrusienskiProfessor of Biomedical Engineering, Virginia Commonwealth UniversityVerified email at vcu.edu
Álvaro Barbero JiménezUniversidad Autónoma de Madrid, Instituto de Ingeniería del ConocimientoVerified email at inv.uam.es

Moritz Grosse-Wentrup

University of Vienna

Verified email at univie.ac.at - Homepage

Machine Learning Signal Processing Neural Engineering Brain-Computer Interfaces Causal Inference


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Transfer learning in brain-computer interfaces V Jayaram, M Alamgir, Y Altun, B Scholkopf, M Grosse-Wentrup IEEE Computational Intelligence Magazine 11 (1), 20-31, 2016	458	2016
Multiclass common spatial patterns and information theoretic feature extraction M Grosse-Wentrup, M Buss Biomedical Engineering, IEEE Transactions on 55 (8), 1991-2000, 2008	436	2008
Quantifying causal influences D Janzing, D Balduzzi, M Grosse-Wentrup, B Schölkopf	268	2013
Using brain–computer interfaces to induce neural plasticity and restore function M Grosse-Wentrup, D Mattia, K Oweiss Journal of Neural Engineering 8, 025004, 2011	268	2011
Closing the sensorimotor loop: haptic feedback facilitates decoding of motor imagery M Gomez-Rodriguez, J Peters, J Hill, B Schölkopf, A Gharabaghi, ... Journal of Neural Engineering 8, 036005, 2011	251	2011
Closing the sensorimotor loop: Haptic feedback facilitates decoding of arm movement imagery M Gomez-Rodriguez, J Peters, J Hill, B Schölkopf, A Gharabaghi, ... Systems Man and Cybernetics (SMC), 2010 IEEE International Conference on …, 2010	251*	2010
Critical issues in state-of-the-art brain–computer interface signal processing DJ Krusienski, M Grosse-Wentrup, F Galán, D Coyle, KJ Miller, E Forney, ... Journal of neural engineering 8 (2), 025002, 2011	219	2011
Crowdsourced analysis of clinical trial data to predict amyotrophic lateral sclerosis progression R Küffner, N Zach, R Norel, J Hawe, D Schoenfeld, L Wang, G Li, L Fang, ... Nature biotechnology 33 (1), 51-57, 2015	217	2015
Multi-task learning for Brain-Computer Interfaces M Alamgir, M Grosse-Wentrup, Y Altun	207	2009
Beamforming in Noninvasive Brain–Computer Interfaces M Grosse-Wentrup, C Liefhold, K Gramann, M Buss Biomedical Engineering, IEEE Transactions on 56 (4), 1209-1219, 2009	201	2009
General pitfalls of model-agnostic interpretation methods for machine learning models C Molnar, G König, J Herbinger, T Freiesleben, S Dandl, CA Scholbeck, ... International Workshop on Extending Explainable AI Beyond Deep Models and …, 2020	195	2020
Causal influence of gamma oscillations on the sensorimotor rhythm M Grosse-Wentrup, B Schölkopf, J Hill NeuroImage 56 (2), 837-842, 2011	147	2011
Biased feedback in brain-computer interfaces Á Barbero, M Grosse-Wentrup Journal of neuroengineering and rehabilitation 7 (34), 1-4, 2010	133	2010
Multisubject learning for common spatial patterns in motor‐imagery BCI D Devlaminck, B Wyns, M Grosse-Wentrup, G Otte, P Santens Computational intelligence and neuroscience 2011 (1), 217987, 2011	127	2011
Causal consistency of structural equation models PK Rubenstein, S Weichwald, S Bongers, JM Mooij, D Janzing, ... arXiv preprint arXiv:1707.00819, 2017	121	2017
Causal interpretation rules for encoding and decoding models in neuroimaging S Weichwald, T Meyer, O Özdenizci, B Schölkopf, T Ball, ... Neuroimage 110, 48-59, 2015	121	2015
High gamma-power predicts performance in sensorimotor-rhythm brain-computer interfaces M Grosse-Wentrup, B Schölkopf Journal of Neural Engineering 55, 1991-2000, 2012	98	2012
Towards brain-robot interfaces in stroke rehabilitation M Gomez-Rodriguez, M Grosse-Wentrup, J Hill, A Gharabaghi, ... Rehabilitation Robotics (ICORR), 2011 IEEE International Conference on, 1-6, 2011	92	2011
Are intrinsic neural timescales related to sensory processing? Evidence from abnormal behavioral states F Zilio, J Gomez-Pilar, S Cao, J Zhang, D Zang, Z Qi, J Tan, T Hiromi, ... NeuroImage 226, 117579, 2021	88	2021
Relative feature importance G König, C Molnar, B Bischl, M Grosse-Wentrup 2020 25th International Conference on Pattern Recognition (ICPR), 9318-9325, 2021	71	2021

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