Egor Bogomolov
Research Groups
Biography
Pursuing a master's degree at Higher School of Economics, Department of Informatics.
Main research interests: data-driven Software Engineering, ML on source code.
Publications
Assessing Project-Level Fine-Tuning of ML4SE Models
June 2022
Egor Bogomolov, Sergey Zhuravlev, Egor Spirin, and Timofey Bryksin
Evaluating the Impact of Source Code Parsers on ML4SE Models
June 2022
Ilya Utkin, Egor Spirin, Egor Bogomolov, and Timofey Bryksin
Evaluation of Contrastive Learning with Various Code Representations for Code Clone Detection
June 2022
Maksim Zubkov, Egor Spirin, Egor Bogomolov, and Timofey Bryksin
Unsupervised Learning of General-Purpose Embeddings for Code Changes
August 2021
Mikhail Pravilov, Egor Bogomolov, Yaroslav Golubev, and Timofey Bryksin
Authorship Attribution of Source Code: A Language-Agnostic Approach and Applicability in Software Engineering
August 2021
Egor Bogomolov, Vladimir Kovalenko, Alberto Bacchelli, and Timofey Bryksin
PSIMiner: A Tool for Mining Rich Abstract Syntax Trees from Code
May 2021
Egor Spirin, Egor Bogomolov, Vladimir Kovalenko, and Timofey Bryksin
Sosed: a Tool for Finding Similar Software Projects
September 2020
Egor Bogomolov, Yaroslav Golubev, Artyom Lobanov, Vladimir Kovalenko and Timofey Bryksin
Building Implicit Vector Representations of Individual Coding Style
June 2020
Vladimir Kovalenko, Egor Bogomolov, Timofey Bryksin and Alberto Bacchelli
PathMiner: A Library for Mining of Path-Based Representations of Code
May 2019
Vladimir Kovalenko, Egor Bogomolov, Timofey Bryksin, and Alberto Bacchelli