Stephanie Brandl
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Robust artifactual independent component classification for BCI practitioners
I Winkler, S Brandl, F Horn, E Waldburger, C Allefeld, M Tangermann
Journal of neural engineering 11 (3), 035013, 2014
1922014
Bringing BCI into everyday life: Motor imagery in a pseudo realistic environment
S Brandl, J Höhne, KR Müller, W Samek
2015 7th International IEEE/EMBS Conference on Neural Engineering (NER), 224-227, 2015
232015
Brain-computer interfacing under distraction: an evaluation study.
S Brandl, L Frølich, J Höhne, KR Müller, W Samek
Journal of neural engineering 13 (5), 056012, 2016
212016
Robust common spatial patterns based on Bhattacharyya distance and Gamma divergence
S Brandl, KR Müller, W Samek
The 3rd International Winter Conference on Brain-Computer Interface, 1-4, 2015
112015
Times Are Changing: Investigating the Pace of Language Change in Diachronic Word Embeddings
S Brandl, D Lassner
Proceedings of the 1st International Workshop on Computational Approaches to …, 2019
22019
Alternative CSP approaches for multimodal distributed BCI data
S Brandl, KR Müller, W Samek
2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2016
22016
Corona Twitter Dataset: 16 February 2020-03 March 2020
S Brandl, D Lassner
12020
Fourier SPoC: A costumised machine-learning analysis pipeline for auditory beat-based entrainment in the MEG
S Brandl, NT Haumann, S Radloff, S Dähne, L Bonetti, P Vuust, E Brattico, ...
bioRxiv, 2021
2021
Motor Imagery Under Distraction—An Open Access BCI Dataset
S Brandl, B Blankertz
Frontiers in Neuroscience 14, 967, 2020
2020
Early Corona Twitter Dataset
S Brandl, D Lassner
Department of Machine Learning, Technische Universität Berlin, 2020
2020
Balancing the composition of word embeddings across heterogenous data sets
S Brandl, D Lassner, M Alber
arXiv preprint arXiv:2001.04693, 2020
2020
Bias in Datensätzen und ML-Modellen: Erkennung und Umgang in den DH.
D Lassner, S Brandl, L Guy, A Baillot
DHd, 2020
2020
BEAT BASED ENTRAINMENT IN THE BRAIN and the question of its relevance to auditory perception of rhythmic patterns
S Radloff, NT Haumann, S Brandl, E Brattico, P Vuust, M Grube
AU Neuroscience Day 2019, 2019
2019
Tracing rhythmic regularity processing in EEG and MEG
S Brandl, NT Haumann, E Brattico, P Vuust, M Grube
Engineering in Medicine & Biology Conference (EMBC), 2019
2019
Chasing auditory rhythmic regularity processingin the EEG & MEG
S Brandl, NT Haumann, E Brattico, P Vuust, M Grube
The Predictive Brain Conference, 2019
2019
Chasing auditory rhythmic regularity processingin the EEG–and now MEG
S Brandl, NT Haumann, E Brattico, P Vuust, M Grube
MEG Nord, 2019
2019
What comes next? Finding connections between word embeddings.
D Lassner, S Brandl
Inaugural conference of the European Association for Digital Humanities (EADH), 2018
2018
Can we “find the beat”? Searching the beta band in the human EEG as a function of acoustic rhythmic regularity and in correlation with behaviour
M Grube, S Brandl, PJ Kindermans, B Blankertz, S Daehne, KR Mueller
11th FENS Forum of Neuroscience, 2018
2018
ABCI-Adaptives BCI in nichtstationären Umgebungen: Abschlussbericht: Projektlaufzeit: 1. Juli 2012 bis 30. November 2015
S Brandl, PJ Kindermans, W Samek, KR Müller
Technische Universität Berlin, 2016
2016
BCI under distraction: Motor imagery in a pseudo realistic environment
S Brandl
2015
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Artikler 1–20