ICANN 2019: Best Paper Award for the solution of the "Minimum Enclosing Ball Problem" with neural networks

As one of two contributions, the paper "Prototypes within Minimum Enclosing Balls" was selected for the Best Paper Award at this year's International Conference on Artificial Neural Networks (ICANN 2019). The Fraunhofer scientists Prof. Dr. Christian Bauckhage and Rafet Sifa as well as Dr. Tiansi Dong from the Bonn-Aachen International Center for Information Technology (b-it) present a method that filters out those characteristic data points from a given data set that are particularly easy to interpret for human users ("explainable latent factors").

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