Towards End-to-End Transformation of Arbitrary Tables from Untagged Portable Documents (PDF) to Linked Data. - Alexey O. Shigarov; Igor Cherepanov; Evgeniy A. Cherkashin; Nikita O. Dorodnykh; Vasiliy V. Khristyuk; Andrey A. Mikhailov; Viacheslav Paramonov; Egor Rozhkow; Alexandr Yu. Yurin (ITAMS, 2019)

On automated workflow for fine-tuning deepneural network models for table detection in document images. - Igor Cherepanov; Andrey A. Mikhailov; Alexey O. Shigarov; Viacheslav Paramonov (MIPRO, 2020)

Visualization Of Class Activation Maps To Explain AI Classification Of Network Packet Captures. - Igor Cherepanov; Alex Ulmer; Jonathan Geraldi Joewono; Jörn Kohlhammer (VizSec, 2022)

Towards the Visualization of Aggregated Class Activation Maps to Analyse the Global Contribution of Class Features. - Igor Cherepanov; David Sessler; Alex Ulmer; Hendrik Lücke-Tieke; Jörn Kohlhammer (xAI (2), 2023)

Extension of Dictionary-Based Compression Algorithms for the Quantitative Visualization of Patterns from Log Files. - Igor Cherepanov; Jonathan Geraldi Joewono; Arjan Kuijper; Jörn Kohlhammer (CoRR, 2023)