ملف الباحث

Anton Selivanov

ورقة واحدة في مجموعة PaperMetrix

المنشورات

أوراق هذا المؤلف

  1. Deep Learning neural nets versus traditional machine learning in gender identification of authors of RusProfiling texts

    2018 · Procedia Computer Science

    In this paper we compare accuracies of solving the task of gender identification of RusPro-filing texts without gender deception on base of two types of data-driven modeling approaches: on the one hand, well-known conventional machine …