Turn the Page: Automated Traversal of Paginated Websites. - Tim Furche; Giovanni Grasso 001; Andrey Kravchenko; Christian Schallhart (ICWE, 2012)

DIADEM: domain-centric, intelligent, automated data extraction methodology. - Tim Furche; Georg Gottlob; Giovanni Grasso 001; Omer Gunes; Xiaonan Guo; Andrey Kravchenko; Giorgio Orsi 001; Christian Schallhart; Andrew Jon Sellers; Cheng Wang (WWW (Companion Volume), 2012)

BERyL: unified approach to web block classification. - Andrey Kravchenko (2015)

Web Page Representations and Data Extraction with BERyL. - Andrey Kravchenko; Ruslan R. Fayzrakhmanov; Emanuel Sallinger (ICWE Workshops, 2018)

Data Science with Vadalog: Bridging Machine Learning and Reasoning. - Luigi Bellomarini; Ruslan R. Fayzrakhmanov; Georg Gottlob; Andrey Kravchenko; Eleonora Laurenza; Yavor Nenov; Stéphane Reissfelder; Emanuel Sallinger; Evgeny Sherkhonov; Lianlong Wu (MEDI, 2018)

BERyL: A System for Web Block Classification. - Andrey Kravchenko (Trans. Comput. Sci., 2018)

Large-scale holistic approach to Web block classification: assembling the jigsaws of a Web page puzzle. - Andrey Kravchenko (World Wide Web, 2019)

Gradient-Based Adversarial Attacks on Categorical Sequence Models via Traversing an Embedded World. - Ivan Fursov; Alexey Zaytsev 002; Nikita Kluchnikov; Andrey Kravchenko; Evgeny Burnaev (AIST, 2020)

Latent-space Laplacian Pyramids for Adversarial Representation Learning with 3D Point Clouds. - Vage Egiazarian; Savva Ignatyev; Alexey Artemov; Oleg Voynov; Andrey Kravchenko; Youyi Zheng; Luiz Velho 001; Evgeny Burnaev (VISIGRAPP (4: VISAPP), 2020)

Differentiable Language Model Adversarial Attacks on Categorical Sequence Classifiers. - Ivan Fursov; Alexey Zaytsev 002; Nikita Kluchnikov; Andrey Kravchenko; Eugeny Burnaev (CoRR, 2020)

Link Prediction of Weighted Triples for Knowledge Graph Completion Within the Scholarly Domain. - Mojtaba Nayyeri; Gökce Müge Cil; Sahar Vahdati; Francesco Osborne; Andrey Kravchenko; Simone Angioni; Angelo A. Salatino; Diego Reforgiato Recupero; Enrico Motta; Jens Lehmann 001 (IEEE Access, 2021)

A Differentiable Language Model Adversarial Attack on Text Classifiers. - Ivan Fursov; Alexey Zaytsev 002; Pavel Burnyshev; Ekaterina Dmitrieva; Nikita Klyuchnikov; Andrey Kravchenko; Ekaterina Artemova; Evgeny Burnaev (CoRR, 2021)

A Differentiable Language Model Adversarial Attack on Text Classifiers. - Ivan Fursov; Alexey Zaytsev 002; Pavel Burnyshev; Ekaterina Dmitrieva; Nikita Klyuchnikov; Andrey Kravchenko; Ekaterina Artemova; Evgenia Komleva; Evgeny Burnaev (IEEE Access, 2022)

Data science with Vadalog: Knowledge Graphs with machine learning and reasoning in practice. - Luigi Bellomarini; Ruslan R. Fayzrakhmanov; Georg Gottlob; Andrey Kravchenko; Eleonora Laurenza; Yavor Nenov; Stéphane Reissfelder; Emanuel Sallinger; Evgeny Sherkhonov; Sahar Vahdati; Lianlong Wu (Future Gener. Comput. Syst., 2022)

Vote'n'Rank: Revision of Benchmarking with Social Choice Theory. - Mark Rofin; Vladislav Mikhailov; Mikhail Florinsky; Andrey Kravchenko; Tatiana Shavrina; Elena Tutubalina; Daniel Karabekyan; Ekaterina Artemova (EACL, 2023)

An Optimal Transport Perspective on Unpaired Image Super-Resolution. - Milena Gazdieva; Petr Mokrov; Litu Rout; Alexander Korotin; Andrey Kravchenko; Alexander Filippov; Evgeny Burnaev (J. Optim. Theory Appl., 2025)