Sven Dähne

Dikutip oleh

	Semua	Sejak 2020
Kutipan	5456	3412
indeks-h	26	17
indeks-i10	36	26

720

360

180

540

2012201320142015201620172018201920202021202220232024202532 38 103 169 264 357 412 588 658 717 686 647 642 62

Akses publik

Lihat semua

17 artikel

5 artikel

tersedia

tidak tersedia

Berdasarkan pada mandat pendanaan

Pengarang bersama

Klaus-Robert MüllerGoogle DeepMind & TU Berlin & Korea University & Max Planck Institute for Informatics, GermanyEmail yang diverifikasi di tu-berlin.de
Benjamin BlankertzTechnische Universität Berlin, Neurotechnology groupEmail yang diverifikasi di tu-berlin.de
Stefan HaufeTechnische Universität Berlin, Physikalisch-Technische Bundesanstalt, Charité - UniversitätsmedizinEmail yang diverifikasi di tu-berlin.de
Pieter-Jan KindermansStaff Research Scientist, Google DeepmindEmail yang diverifikasi di google.com
Felix BiessmannEinstein Center Digital Future, Berlin University of Applied SciencesEmail yang diverifikasi di bht-berlin.de
Frank C. MeineckeDirector of Applied Machine Learning, TomTomEmail yang diverifikasi di tomtom.com
Kristof T. SchüttPfizer, Machine Learning ResearchEmail yang diverifikasi di pfizer.com
Michael TangermannDonders Insitute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands, andEmail yang diverifikasi di donders.ru.nl
Maximilian AlberTU BerlinEmail yang diverifikasi di tu-berlin.de
Kai GörgenBCCN Berlin, Science of Intelligence, Charite University Hospital BerlinEmail yang diverifikasi di bccn-berlin.de
John-Dylan HaynesProfessor for Theory and Analysis of Large-Scale Brain Signals, Charite - Universitätsmedizin Berlin, GermanyEmail yang diverifikasi di bccn-berlin.de
Johannes HöhneData Science @ BayerEmail yang diverifikasi di bayer.com
Wojciech SamekProfessor at TU Berlin, Head of AI Department at Fraunhofer HHI, BIFOLD FellowEmail yang diverifikasi di tu-berlin.de
Matthias Schultze-KraftPostDoc, Bernstein Center for Computational Neuroscience, BerlinEmail yang diverifikasi di bccn-berlin.de
Vadim V NikulinPrincipal Investigator, Max Planck Institute for Human Cognitive and Brain SciencesEmail yang diverifikasi di cbs.mpg.de
Dumitru ErhanDirector of Research @ Google DeepMindEmail yang diverifikasi di google.com
Been KimGoogle DeepMindEmail yang diverifikasi di csail.mit.edu
Martijn SchreuderANT NeuroEmail yang diverifikasi di ant-neuro.com
Siamac FazliNazarbayev UniversityEmail yang diverifikasi di nu.edu.kz
Han-Jeong HwangAssociate Professor, Dept of Electronics and Information Engineering, Korea University, SejongEmail yang diverifikasi di korea.ac.kr

Ikuti

Sven Dähne

Amazon

Email yang diverifikasi di amazon.com

machine learning data science neuroimaging neuroscience


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
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	1396	2014
The (un) reliability of saliency methods PJ Kindermans, S Hooker, J Adebayo, M Alber, KT Schütt, S Dähne, ... Explainable AI: Interpreting, explaining and visualizing deep learning, 267-280, 2019	834	2019
iNNvestigate neural networks! M Alber, S Lapuschkin, P Seegerer, M Hägele, KT Schütt, G Montavon, ... Journal of machine learning research 20 (93), 1-8, 2019	456	2019
Learning how to explain neural networks: Patternnet and patternattribution PJ Kindermans, KT Schütt, M Alber, KR Müller, D Erhan, B Kim, S Dähne arXiv preprint arXiv:1705.05598, 2017	420	2017
The point of no return in vetoing self-initiated movements M Schultze-Kraft, D Birman, M Rusconi, C Allefeld, K Görgen, S Dähne, ... Proceedings of the national Academy of Sciences 113 (4), 1080-1085, 2016	306	2016
The Berlin brain-computer interface: progress beyond communication and control B Blankertz, L Acqualagna, S Dähne, S Haufe, M Schultze-Kraft, I Sturm, ... Frontiers in neuroscience 10, 530, 2016	249	2016
Investigating the influence of noise and distractors on the interpretation of neural networks PJ Kindermans, K Schütt, KR Müller, S Dähne arXiv preprint arXiv:1611.07270, 2016	154	2016
SPoC: A novel framework for relating the amplitude of neuronal oscillations to behaviorally relevant parameters S Dähne, FC Meinecke, S Haufe, J Höhne, M Tangermann, KR Müller, ... NeuroImage 86, 111-122, 2014	152	2014
Effect of higher frequency on the classification of steady-state visual evoked potentials DO Won, HJ Hwang, S Dähne, KR Müller, SW Lee Journal of neural engineering 13 (1), 016014, 2015	122	2015
Concurrent Adaptation of Human and Machine Improves Simultaneous and Proportional Myoelectric Control J Hahne, S Dähne, HJ Hwang, KR Müller, L Parra IEEE Transactions on Neural Systems and Rehabilitation Engineering 23 (4 …, 2015	116	2015
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	112	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	110	2015
User-centered design in brain–computer interfaces—A case study M Schreuder, A Riccio, M Risetti, S Dähne, A Ramsay, J Williamson, ... Artificial intelligence in medicine 59 (2), 71-80, 2013	100	2013
Dimensionality reduction for the analysis of brain oscillations S Haufe, S Dähne, VV Nikulin NeuroImage 101, 583-597, 2014	94	2014
Pyff–a pythonic framework for feedback applications and stimulus presentation in neuroscience B Venthur, S Scholler, J Williamson, S Dähne, MS Treder, MT Kramarek, ... Frontiers in Neuroscience 4, 2010	81	2010
Natural stimuli improve auditory BCIs with respect to ergonomics and performance J Höhne, K Krenzlin, S Dähne, M Tangermann Journal of Neural Engineering 9 (4), 045003, 2012	79	2012
EEG predictors of covert vigilant attention A Martel, S Dähne, B Blankertz Journal of neural engineering 11 (3), 035009, 2014	75	2014
Finding brain oscillations with power dependencies in neuroimaging data S Dähne, VV Nikulin, D Ramírez, PJ Schreier, KR Müller, S Haufe NeuroImage 96, 334-348, 2014	56	2014
Multi-variate EEG analysis as a novel tool to examine brain responses to naturalistic music stimuli I Sturm, S Dähne, B Blankertz, G Curio PloS one 10 (10), e0141281, 2015	54	2015
Unsupervised classification of operator workload from brain signals M Schultze-Kraft, S Dähne, M Gugler, G Curio, B Blankertz Journal of neural engineering 13 (3), 036008, 2016	47	2016

Sistem tidak dapat melakukan operasi ini. Coba lagi nanti.

Artikel 1–20

Kutipan per tahun

Kutipan duplikat

Kutipan yang digabung

Tambahkan pengarang bersamaPengarang bersama

Ikuti

Dikutip oleh

Pengarang bersama