K. Müller
Humboldt-Universität zu Berlin(DE)
Publications by Year
Research Areas
EEG and Brain-Computer Interfaces, Neural dynamics and brain function, Neural Networks and Applications, Blind Source Separation Techniques, Neuroscience and Neural Engineering
Most-Cited Works
- → An introduction to kernel-based learning algorithms(2001)3,478 cited
- → SchNet – A deep learning architecture for molecules and materials(2018)2,101 cited
- → Quantum-chemical insights from deep tensor neural networks(2017)1,462 cited
- → Soft Margins for AdaBoost(2001)1,298 cited
- → Input space versus feature space in kernel-based methods(1999)1,168 cited
- → Predicting time series with support vector machines(1997)979 cited
- → The BCI competition III: validating alternative approaches to actual BCI problems(2006)910 cited