Konstantin L. Malanchev

According to our database, Konstantin L. Malanchev authored at least 10 papers between 2019 and 2024.

Collaborative distances:

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

2024

Multi-View Symbolic Regression.

Etienne Russeil, Fabrício Olivetti de França, Konstantin L. Malanchev, Bogdan Burlacu, Emille E. O. Ishida, Marion Leroux, Clément Michelin, Guillaume Moinard, Emmanuel Gangler

CoRR, 2024

Multiview Symbolic Regression.

Etienne Russeil, Fabrício Olivetti de França, Konstantin L. Malanchev, Bogdan Burlacu, Emille E. O. Ishida, Marion Leroux, Clément Michelin, Guillaume Moinard, Emmanuel Gangler

Proceedings of the Genetic and Evolutionary Computation Conference, 2024

2022

Toward an understanding of the properties of neural network approaches for supernovae light curve approximation.

Mariia Demianenko, Konstantin L. Malanchev, Ekaterina Samorodova, Mikhail Sysak, Aleksandr Shiriaev, Denis Derkach, Mikhail Hushchyn

CoRR, 2022

Supernova Light Curves Approximation based on Neural Network Models.

Mariia Demianenko, Ekaterina Samorodova, Mikhail Sysak, Aleksandr Shiriaev, Konstantin L. Malanchev, Denis Derkach, Mikhail Hushchyn

CoRR, 2022

2021

Photometric data-driven classification of Type Ia supernovae in the open Supernova Catalog.

Stanislav Dobryakov, Konstantin L. Malanchev, Denis Derkach, Mikhail Hushchyn

Astron. Comput., 2021

2020

Variable Star Classification with Help of Machine Learning Algorithms (short paper).

Kirill Naydenkin, Konstantin L. Malanchev, Maria V. Pruzhinskaya

Proceedings of the Supplementary Proceedings of the XXII International Conference on Data Analytics and Management in Data Intensive Domains, 2020

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

Fips: An OpenGL based FITS viewer.

Matwey V. Kornilov, Konstantin L. Malanchev

Astron. Comput., 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