Semen A. Budennyy

According to our database, Semen A. Budennyy authored at least 9 papers between 2022 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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, May, 2023

The Battle of Information Representations: Comparing Sentiment and Semantic Features for Forecasting Market Trends.

Andrei Zaichenko, Aleksei Kazakov, Elizaveta Kovtun, Semen A. Budennyy

CoRR, 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

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

Proceedings of the Computational Science and Its Applications - ICCSA 2023, 2023

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

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

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

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

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