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Uncertainty Quantification in Machine Learning has progressed to predicting the source of uncertainty in a prediction: Uncertainty from stochasticity in the data (aleatoric), or uncertainty from limitations of the model (epistemic). Generally, each u
Externí odkaz:
http://arxiv.org/abs/2408.12175
Autor:
de Jong, Ivo Pascal, Wittenboer, Lüke Luna van den, Valdenegro-Toro, Matias, Sburlea, Andreea Ioana
Public Motor Imagery-based brain-computer interface (BCI) datasets are being used to develop increasingly good classifiers. However, they usually follow discrete paradigms where participants perform Motor Imagery at regularly timed intervals. It is o
Externí odkaz:
http://arxiv.org/abs/2403.15431
Uncertainty Quantification aims to determine when the prediction from a Machine Learning model is likely to be wrong. Computer Vision research has explored methods for determining epistemic uncertainty (also known as model uncertainty), which should
Externí odkaz:
http://arxiv.org/abs/2403.09228
Uncertainty Quantification (UQ) has gained traction in an attempt to fix the black-box nature of Deep Learning. Specifically (medical) biosignals such as electroencephalography (EEG), electrocardiography (ECG), electroocculography (EOG) and electromy
Externí odkaz:
http://arxiv.org/abs/2312.09454
Autor:
Mondini, Valeria1 (AUTHOR), Sburlea, Andreea-Ioana2 (AUTHOR), Müller-Putz, Gernot R.1,3 (AUTHOR) gernot.mueller@tugraz.at
Publikováno v:
Scientific Reports. 2/27/2024, Vol. 14 Issue 1, p1-19. 19p.
Akademický článek
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One use of EEG-based brain-computer interfaces (BCIs) in rehabilitation is the detection of movement intention. In this paper we investigate for the first time the instantaneous phase of movement related cortical potential (MRCP) and its application
Externí odkaz:
http://arxiv.org/abs/1605.04533
Autor:
Pereira, Joana, Ofner, Patrick, Schwarz, Andreas, Sburlea, Andreea Ioana, Müller-Putz, Gernot R.
Publikováno v:
In NeuroImage 1 April 2017 149:129-140
Autor:
Sburlea, Andreea Ioana1 andreea.ioana.sburlea@gmail.com, Montesano, Luis2, de la Cuerda, Roberto Cano3, Alguacil Diego, Isabel Maria3, Miangolarra-Page, Juan Carlos3, Minguez, Javier1,2, Cano de la Cuerda, Roberto4 (AUTHOR)
Publikováno v:
Journal of NeuroEngineering & Rehabilitation (JNER). 12/12/2015, Vol. 12 Issue 1, p1-12. 12p.
Publikováno v:
7th Graz Brain-Computer Interface Conference
7th Graz Brain-Computer Interface Conference 2017
7th Graz Brain-Computer Interface Conference 2017
Proceedings Of The 7Th Graz Brain-Computer Interface Conference 2017, From Vision To Reality, September 18-22, 2017 Graz University Of Technology, Austria
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f6cc612af107a2c76ba991756f5bed96
https://doi.org/10.3217/978-3- 85125-533-1-52
https://doi.org/10.3217/978-3- 85125-533-1-52