Vladimir S. Korolev

According to our database, Vladimir S. Korolev authored at least 5 papers between 2019 and 2024.

Collaborative distances:

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

2024

Exploring the Universe with SNAD: Anomaly Detection in Astronomy.

Alina A. Volnova, Patrick D. Aleo, Anastasia Lavrukhina, Etienne Russeil, Timofey Semenikhin, Emmanuel Gangler, Emille E. O. Ishida, Matwey V. Kornilov, Vladimir S. Korolev, Konstantin L. Malanchev, Maria V. Pruzhinskaya, Sreevarsha Sreejith

CoRR, 2024

Coniferest: a complete active anomaly detection framework.

Matwey V. Kornilov, Vladimir S. Korolev, Konstantin L. Malanchev, A. D. Lavrukhina, Etienne Russeil, T. A. Semenikhin, Emmanuel Gangler, Emille E. O. Ishida, Maria V. Pruzhinskaya, Alina A. Volnova, Sreevarsha Sreejith

CoRR, 2024

2019

Active Anomaly Detection for time-domain discoveries.

Emille E. O. Ishida, Matwey V. Kornilov, Konstantin L. Malanchev, Maria V. Pruzhinskaya, Alina A. Volnova, Vladimir S. Korolev, Florian Mondon, Sreevarsha Sreejith, Anastasia Malancheva, Shubhomoy Das

CoRR, 2019

Use of Machine Learning for Anomaly Detection Problem in Large Astronomical Databases.

Konstantin L. Malanchev, Alina A. Volnova, Matwey V. Kornilov, Maria V. Pruzhinskaya, Emille E. O. Ishida, Florian Mondon, Vladimir S. Korolev

Proceedings of the Selected Papers of the XXI International Conference on Data Analytics and Management in Data Intensive Domains (DAMDID/RCDL 2019), 2019

Realization of Different Techniques for Anomaly Detection in Astronomical Databases.

Konstantin L. Malanchev, Vladimir S. Korolev, Matwey V. Kornilov, Emille E. O. Ishida, Anastasia Malancheva, Florian Mondon, Maria V. Pruzhinskaya, Sreevarsha Sreejith, Alina Volnova

Proceedings of the Data Analytics and Management in Data Intensive Domains, 2019