On January 1st, the international H2020 project FeatureCloud has finally been kicked off. DSS member Richard Röttger participates as a work-package leader in the project which is totally funded with more than 4.5 Million Euro, distributed over participants from Germany, Netherlands, Austria and Romania. FeatureCloud aims to implement and promote privacy-by-design machine learning solutions enabling the machine learning of sensitive, distributed data without having the data ever leaving the safe harbor of storage.
Together with an international committee, Arthur Zimek organizes a workshop on Evaluation and Experimental Design in Data Mining and Machine Learning EDML 2019 at the SIAM International Conference on Data Mining (SDM19).
On Friday 19th of November, Nicklas Sindlev Andersen presented the work “Learning Traffic Assignment in Travel Demand Estimation” at the MATTS workshop in Delft, Holland. The workshop brought together an international group of researchers on the topic of Mathematics Applied in Transport and Traffic Systems.
Wiley features the recent article There and Back Again: Outlier Detection Between Statistical Reasoning and Data Mining Algorithms by Arthur Zimek and Peter Filzmoser in the science blog advanced science news.