An empirical study of build system migrations in practice: Case studies on KDE and the Linux kernel. - Roman Suvorov; Meiyappan Nagappan; Ahmed E. Hassan; Ying Zou 001; Bram Adams (ICSM, 2012)

Method for Pornography Filtering in the WEB Based on Automatic Classification and Natural Language Processing. - Roman Suvorov; Ilya Sochenkov; Ilya Tikhomirov (SPECOM, 2013)

Training Datasets Collection and Evaluation of Feature Selection Methods for Web Content Filtering. - Roman Suvorov; Ilya Sochenkov; Ilya Tikhomirov (AIMSA, 2014)

Assessment of the Extent of the Necessary Clinical Testing of New Biotechnological Products Based on the Analysis of Scientific Publications and Clinical Trials Reports. - Roman Suvorov; Ivan V. Smirnov; Konstantin Popov; Nikolay Yarygin; Konstantin Yarygin (ICPRAM (2), 2015)

Exactus Like: Plagiarism Detection in Scientific Texts. - Ilya Sochenkov; Denis Zubarev; Ilya Tikhomirov; Ivan V. Smirnov; Artem Shelmanov; Roman Suvorov; Gennady S. Osipov (ECIR, 2016)

Feature selection techniques for scientific projects funding criteria analysis. - Dmitry Devyatkin; Roman Suvorov; Ilya Tikhomirov; Oleg G. Grigoriev (IEEE Conf. on Intelligent Systems, 2016)

Towards Framework for Discovery of Export Growth Points. - Dmitry Devyatkin; Roman Suvorov; Ilya Tikhomirov; Yulia Otmakhova 002 (DAMDID/RCDL, 2017)

Label Denoising with Large Ensembles of Heterogeneous Neural Networks. - Pavel Ostyakov; Elizaveta Logacheva; Roman Suvorov; Vladimir Aliev; Gleb Sterkin; Oleg Khomenko; Sergey I. Nikolenko (ECCV Workshops (4), 2018)

Neural Networks for Food Export Gain Forecasting. - Dmitry Devyatkin; Roman Suvorov; Ilya Tikhomirov; Yulia Otmakhova 002 (IEEE Conf. on Intelligent Systems, 2018)

The Limitations of Cross-language Word Embeddings Evaluation. - Amir Bakarov; Roman Suvorov; Ilya Sochenkov (*SEM@NAACL-HLT, 2018)

SEIGAN: Towards Compositional Image Generation by Simultaneously Learning to Segment, Enhance, and Inpaint. - Pavel Ostyakov; Roman Suvorov; Elizaveta Logacheva; Oleg Khomenko; Sergey I. Nikolenko (CoRR, 2018)

Learning State Representations in Complex Systems with Multimodal Data. - Pavel Solovev; Vladimir Aliev; Pavel Ostyakov; Gleb Sterkin; Elizaveta Logacheva; Stepan Troeshestov; Roman Suvorov; Anton Mashikhin; Oleg Khomenko; Sergey I. Nikolenko (CoRR, 2018)

DeepLandscape: Adversarial Modeling of Landscape Videos. - Elizaveta Logacheva; Roman Suvorov; Oleg Khomenko; Anton Mashikhin; Victor Lempitsky (ECCV (23), 2020)

DeepLandscape: Adversarial Modeling of Landscape Video. - Elizaveta Logacheva; Roman Suvorov; Oleg Khomenko; Anton Mashikhin; Victor Lempitsky (CoRR, 2020)

Perceptual Gradient Networks. - Dmitry Nikulin; Roman Suvorov; Aleksei Ivakhnenko; Victor Lempitsky (CoRR, 2021)

Resolution-robust Large Mask Inpainting with Fourier Convolutions. - Roman Suvorov; Elizaveta Logacheva; Anton Mashikhin; Anastasia Remizova; Arsenii Ashukha; Aleksei Silvestrov; Naejin Kong; Harshith Goka; Kiwoong Park; Victor Lempitsky (WACV, 2022)