Sifa, RafetRafetSifaBauckhage, ChristianChristianBauckhage2022-03-142022-03-142020https://publica.fraunhofer.de/handle/publica/40884010.1007/978-3-030-53552-0_37We introduce the idea of utilizing ensembles of Kernel Minimum Enclosing Balls to detect novel datapoints. To this end, we propose a novelty scoring methodology that is based on combining outcomes of the corresponding characteristic functions of a set of fitted balls. We empirically evaluate our model by presenting experiments on synthetic as well as real world datasets.en005006629conference paper