Boosting Heterogeneous Catalyst Discovery by Structurally Constrained Deep Learning Models. - Alexey N. Korovin; Innokentiy S. Humonen; Artem I. Samtsevich; Roman A. Eremin; Artem I. Vasilyev; Vladimir D. Lazarev; Semen A. Budennyy (CoRR, 2022)

Eco2AI: carbon emissions tracking of machine learning models as the first step towards sustainable AI. - Semen A. Budennyy; Vladimir D. Lazarev; Nikita Zakharenko; Alexey N. Korovin; Olga Plosskaya; Denis Dimitrov; Vladimir Arkhipkin; Ivan V. Oseledets; Ivan Barsola; Ilya Egorov; Aleksandra Kosterina; Leonid Zhukov (CoRR, 2022)

Anomaly segmentation model for defects detection in electroluminescence images of heterojunction solar cells. - Alexey N. Korovin; Artem I. Vasilyev; Fedor Egorov; Dmitry Saykin; Evgeny Terukov; Igor Shakhray; Leonid Zhukov; Semen A. Budennyy (CoRR, 2022)

New drugs and stock market: how to predict pharma market reaction to clinical trial announcements. - Semen A. Budennyy; Alexey Kazakov; Elizaveta Kovtun; Leonid Zhukov (CoRR, 2022)

Relationships between patenting trends and research activity for green energy technologies. - Regina Tuganova; Anna Permyakova; Anna Kuznetsova; Karina Rakhmanova; Natalia Monzul; Roman Uvarov; Elizaveta Kovtun; Semen A. Budennyy (CoRR, 2022)

The Battle of Information Representations: Comparing Sentiment and Semantic Features for Forecasting Market Trends. - Andrei Zaichenko; Aleksei Kazakov; Elizaveta Kovtun; Semen A. Budennyy (AIST (Supplement), 2023)

Prediction of Urban Population-Facilities Interactions with Graph Neural Network. - Margarita E. Mishina; Stanislav Sobolevsky; Elizaveta Kovtun; Alexander A. Khrulkov; Alexander Belyi; Semen A. Budennyy; Sergey A. Mityagin (ICCSA (1), 2023)

Machine learning-based detection of cardiovascular disease using ECG signals: performance vs. complexity. - Huy Pham; Konstantin Egorov; Alexey Kazakov; Semen A. Budennyy (CoRR, 2023)

GP CC-OPF: Gaussian Process based optimization tool for Chance-Constrained Optimal Power Flow. - Mile Mitrovic; Ognjen Kundacina; Aleksandr Lukashevich; Semen A. Budennyy; Petr Vorobev; Vladimir V. Terzija; Yury Maximov; Deepjyoti Deka (Softw. Impacts, 2023)

On the Robustness of Machine Learning Models in Predicting Thermodynamic Properties: a Case of Searching for New Quasicrystal Approximants. - Fedor S. Avilov; Roman A. Eremin; Semen A. Budennyy; Innokentiy S. Humonen (CoRR, 2024)

Unleashing the power of novel conditional generative approaches for new materials discovery. - Lev Novitskiy; Vladimir D. Lazarev; Mikhail Tiutiulnikov; Nikita Vakhrameev; Roman A. Eremin; Innokentiy S. Humonen; Andrey Kuznetsov; Denis Dimitrov; Semen A. Budennyy (CoRR, 2024)

Hierarchical waste detection with weakly supervised segmentation in images from recycling plants. - Dmitry A. Yudin; Nikita Zakharenko; Artem Smetanin; Roman Filonov; Margarita Kichik; Vladislav Kuznetsov; Dmitry Larichev; Evgeny Gudov; Semen A. Budennyy; Aleksandr Panov (Eng. Appl. Artif. Intell., 2024)

Assessing the complexity of a path search optimization method based on clustering for a transport graph. - Dmitrii Fedorov; Georgii Kontsevik; Roman Bashirov; Sergey A. Mityagin; Liubov Tupikina; Nikita Zakharenko; Semen A. Budennyy (EPJ Data Sci., 2025)