Aleksandr Rubashevskii

Natural Language Processing Department Under supervision of Prof. Preslav Nakov and Asst. Prof. Maxim Panov

Statistical Machine Learning Laboratory Under supervision of Asst. Prof. Maxim Panov

- Production analytics, quality prediction of oil products using classical ML and recurrent neural networks - Price forecasting of wholesale electricity market via classical ML algorithms

- Testing of existed Optical Character Recognition pipeline - Detection and recognition of text in screenshots of game menus using convolutional neural networks

Statistical Machine Learning laboratory, advisor: Asst. Prof. Maxim Panov Thesis: Efficient Active Learning and Fact-Checking via Predictive Uncertainty Quantification for Natural Language Processing

Computational Imaging Group, advisor: Assoc. Prof. Dmitry V. Dylov Thesis: "Near-infrared to visible image translation via convolutional neural networks and reinforcement learning"