Elizaveta Kovtun

According to our database, Elizaveta Kovtun authored at least 10 papers between 2021 and 2024.

Collaborative distances:

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

2024

Towards Foundation Time Series Model: To Synthesize Or Not To Synthesize?

Kseniia Kuvshinova, Olga Tsymboi, Alina Kostromina, Dmitry Simakov, Elizaveta Kovtun

CoRR, 2024

Label Attention Network for Temporal Sets Prediction: You Were Looking at a Wrong Self-Attention.

Elizaveta Kovtun, Galina Boeva, Andrey Shulga, Alexey Zaytsev

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

Hiding Backdoors within Event Sequence Data via Poisoning Attacks.

Elizaveta Kovtun, Alina Ermilova, Dmitry Berestnev, Alexey Zaytsev

CoRR, 2023

Label Attention Network for sequential multi-label classification: you were looking at a wrong self-attention.

Elizaveta Kovtun, Galina Boeva, Artem Zabolotnyi, Evgeny Burnaev, Martin Spindler, Alexey Zaytsev

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

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

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

Proceedings of the Recent Trends in Analysis of Images, Social Networks and Texts, 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

Sequence Embeddings Help Detect Insurance Fraud.

Ivan Fursov, Elizaveta Kovtun, Rodrigo Rivera-Castro, Alexey Zaytsev, Rasul Khasyanov, Martin Spindler, Evgeny Burnaev

IEEE Access, 2022

2021

Adversarial Attacks on Deep Models for Financial Transaction Records.

Ivan Fursov, Matvey Morozov, Nina Kaploukhaya, Elizaveta Kovtun, Rodrigo Rivera-Castro, Gleb Gusev, Dmitry Babaev, Ivan Kireev, Alexey Zaytsev, Evgeny Burnaev

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021