Artem Poliszczuk: "Fuzzy SVM algorithms applied for searching for AGN in the AKARI NEP Deep data" In the era of big data driven astronomy creation of trustable catalogs of astronomicalobjects plays crucial role in the observational cosmology. In particular, AGN catalogs still cause many difficulties for the observers due to the strongly underrepresented type 2 AGN class of objects obscured by dust. In this presentation selection of the AGN candidates based on the modified version of the support vector machine (SVM) algorithm, a fuzzy SVM, will be presented. (...)