Machine Learning

The main focus of the Machine Learning group is the development of powerful, interpretable and efficient data analysis techniques for various applications, including image and video annotation, biomedical signal analysis and Big Data analytics. Especially the topics deep learning and interpretability, ERP- and SSVEP-based assessment of perceived quality, and robustness, outliers and nonstationarity are investigated by the group.

Research Topics

The research topics address different fields in the areas of Deep Learning, Biomedical Signal Analysis, Big Data Analysis and Machine Learning.

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Journal papers, conference proceedings, talks and tutorials, standardization contributions and books. Find out about the publications of our group.

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