Vladimir Parkhomenko

According to our database, Vladimir Parkhomenko authored at least 8 papers between 2014 and 2021.

Collaborative distances:

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

2021

A Concept of Self-Supervised Logical Rule Inference in Symbolic Classifications.

Xenia A. Naidenova, Vladimir Parkhomenko

Proceedings of the 9th International Workshop "What can FCA do for Artificial Intelligence?" co-located with the 30th International Joint Conference on Artificial Intelligence (IJCAI 2021), 2021

Nerual Network System For Ground Robot Path Planning and Obstacle Avoidance.

Vladimir Parkhomenko, Mikhail Medvedev

Proceedings of the 7th International Conference on Mechatronics and Robotics Engineering, 2021

2020

Contribution to attributive and object subcontexts in inferring good maximally redundant tests.

Xenia A. Naidenova, Vladimir Parkhomenko

Discret. Appl. Math., 2020

Granular Computing and Incremental Classification.

Xenia A. Naidenova, Vladimir Parkhomenko

Proceedings of the 8th International Workshop "What can FCA do for Artificial Intelligence?" (FCA4AI 2020) co-located with 24th European Conference on Artificial Intelligence (ECAI 2020), 2020

2016

Two Prediction Models for Some Economic Indicators of the Russian Arctic Zone.

Sergey A. Chernogorskiy, Konstantin Shvetsov, Vladimir Parkhomenko

Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016, 2016

Modification of Good Tests in Dynamic Contexts: Application to Modeling Intellectual Development of Cadets.

Xenia A. Naidenova, Vladimir Parkhomenko, Konstantin Shvetsov, Vladislav Yusupov, Raisa Kuzina

Proceedings of the 2nd International Workshop on Soft Computing Applications and Knowledge Discovery (SCAKD 2016) co-located with the 13th International Conference on Concept Lattices and Their Applications (CLA 2016), 2016

2015

Context-Dependent Deductive and Inductive Reasoning Based on Good Diagnostic Tests.

Xenia A. Naidenova, Vladimir Parkhomenko

Proceedings of the International Workshop on Formal Concept Analysis and Applications, 2015

2014

Attributive and Object Subcontexts in Inferring Good Maximally Redundant Tests.

Xenia A. Naidenova, Vladimir Parkhomenko

Proceedings of the Eleventh International Conference on Concept Lattices and Their Applications, 2014