Search Results for author: Anett Seeland

Found 2 papers, 0 papers with code

Classifier Transfer with Data Selection Strategies for Online Support Vector Machine Classification with Class Imbalance

no code implementations10 Aug 2022 Mario Michael Krell, Nils Wilshusen, Anett Seeland, Su Kyoung Kim

Adding all and removing the oldest samples results in the best performance, whereas for smaller drifts, it can be sufficient to only add potential new support vectors of the SVM which reduces processing resources.

EEG Electroencephalogram (EEG)

Data Augmentation for Brain-Computer Interfaces: Analysis on Event-Related Potentials Data

no code implementations9 Jan 2018 Mario Michael Krell, Anett Seeland, Su Kyoung Kim

On image data, data augmentation is becoming less relevant due to the large amount of available training data and regularization techniques.

Data Augmentation

Cannot find the paper you are looking for? You can Submit a new open access paper.