Oleg V. Senko

According to our database, Oleg V. Senko authored at least 10 papers between 1998 and 2022.

Collaborative distances:

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

2022

Method for Improving Gradient Boosting Learning Efficiency Based on Modified Loss Functions.

Nikolay Korolev, Oleg V. Senko

Autom. Remote. Control., December, 2022

2020

Comparison of Two Approaches to Recommender Systems with Anonymous Purchase Data (short paper).

Yuriy I. Zhuravlev, Alexander Dokukin, Oleg V. Senko, Dmitry Stefanovsky, Ivan Saenko, Nikolay Korolev

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

An Information System for Inorganic Substances Physical Properties Prediction Based on Machine Learning Methods.

Victor A. Dudarev, Nadezhda N. Kiselyova, Andrey V. Stolyarenko, Alexander Dokukin, Oleg V. Senko, Vladimir V. Ryazanov, Elena A. Vashchenko, Mikhail A. Vitushko, Vyacheslav S. Pereverzev-Orlov

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

2019

Use of Clusterization Technique to Highlight Groups of Related Goods by Digital Traces in Retail Trade.

Yuriy I. Zhuravlev, Alexander Dokukin, Oleg V. Senko, Dmitry Stefanovskiy

Proceedings of the 9th International Conference on Advanced Computer Information Technologies, 2019

2018

Various Machine Learning Methods Efficiency Comparison in Application to Inorganic Compounds Design.

Oleg V. Senko, Nadezhda Kiselyova, Victor Dudarev, Alexander Dokukin, Vladimir Ryazanov

Proceedings of the Selected Papers of the XX International Conference on Data Analytics and Management in Data Intensive Domains (DAMDID/RCDL 2018), 2018

2014

Multiple Regression Method Based on Unexpandable and Irreducible Convex Combinations.

Oleg V. Senko, Alexander Dokukin

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2014

A Method for Evaluating Validity of Piecewise-linear Models.

Oleg V. Senko, Dmitry S. Dzyba, Ekaterina A. Pigarova, Liudmila Ya. Rozhinskaya, Anna V. Kuznetsova

Proceedings of the KDIR 2014 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Rome, Italy, 21, 2014

2011

Methods for Discovering and Analysis of Regularities Systems - Approach based on Optimal Partitioning of Explanatory Variables Space.

Oleg V. Senko, Anna V. Kuznetsova

Proceedings of the KDIR 2011, 2011

2010

Pattern Recognition Method Using Ensembles of Regularities Found by Optimal Partitioning.

Oleg V. Senko, Anna V. Kuznetsova

Proceedings of the 20th International Conference on Pattern Recognition, 2010

1998

Mathematical methods for pattern recognition: logic, optimization, algebraic approaches.

Vladimir V. Riazanov, Oleg V. Senko, Yurii I. Zhuravlev

Proceedings of the Fourteenth International Conference on Pattern Recognition, 1998