Stephanie Brandl
Citeret af
Citeret af
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
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
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
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
Challenges and Strategies in Cross-Cultural NLP
D Hershcovich, S Frank, H Lent, M de Lhoneux, M Abdou, S Brandl, ...
arXiv preprint arXiv:2203.10020, 2022
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
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
Motor Imagery Under Distraction—An Open Access BCI Dataset
S Brandl, B Blankertz
Frontiers in Neuroscience 14, 967, 2020
Fourier SPoC: A customised 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
Balancing the composition of word embeddings across heterogenous data sets
S Brandl, D Lassner, M Alber
arXiv preprint arXiv:2001.04693, 2020
Corona Twitter Dataset: 16 February 2020-03 March 2020
S Brandl, D Lassner
BCI under distraction: Motor imagery in a pseudo realistic environment
S Brandl
Do Transformer Models Show Similar Attention Patterns to Task-Specific Human Gaze?
S Brandl, O Eberle, J Pilot, A Søgaard
arXiv preprint arXiv:2205.10226, 2022
A Cross-lingual Comparison of Human and Model Relative Word Importance
F Morger, S Brandl, L Beinborn, N Hollenstein
Proceedings of the 2022 CLASP Conference on (Dis) embodiment, 11-23, 2022
Evaluating Deep Taylor Decomposition for Reliability Assessment in the Wild
S Brandl, D Hershcovich, A Søgaard
Proceedings of the International AAAI Conference on Web and Social Media 16 …, 2022
How Conservative are Language Models? Adapting to the Introduction of Gender-Neutral Pronouns
S Brandl, R Cui, A Søgaard
arXiv preprint arXiv:2204.10281, 2022
Applications of machine learning in dynamic settings
S Brandl
Early Corona Twitter Dataset
S Brandl, D Lassner
Department of Machine Learning, Technische Universität Berlin, 2020
Bias in Datensätzen und ML-Modellen: Erkennung und Umgang in den DH.
D Lassner, S Brandl, L Guy, A Baillot
DHd, 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
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Artikler 1–20