12 citations · 14 across the 4 of their papers we have counts for
4 papers
EEG classifier cross-task transfer to avoid training sessions in robot-assisted rehabilitation
Niklas Kueper, Su Kyoung Kim, Elsa Andrea Kirchner
Background: For an individualized support of patients during rehabilitation, learning of individual machine learning models from the human electroencephalogram (EEG) is required. O…
Learning Topology-Specific Experts for Molecular Property Prediction
Su Kim, Dongha Lee, SeongKu Kang +2
Recently, graph neural networks (GNNs) have been successfully applied to predicting molecular properties, which is one of the most classical cheminformatics tasks with various appl…
Classifier Transfer with Data Selection Strategies for Online Support Vector Machine Classification with Class Imbalance
Mario Michael Krell, Nils Wilshusen, Anett Seeland +1
Objective: Classifier transfers usually come with dataset shifts. To overcome them, online strategies have to be applied. For practical applications, limitations in the computation…
Photomapping Using Aerial Vehicle
Su Kim
Creating a photomap plays a critical role in navigation. Therefore, flying vehicles are usually used to create topdown maps of the environment. In this report we used two different…