Igor Povkhan

According to our database, Igor Povkhan authored at least 9 papers between 2020 and 2024.

Collaborative distances:

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

2024

The Modified Algorithm Tree Method in the Geological Data Classification Problem.

Igor Povkhan, Oksana Mulesa, Olena Melnyk, Vasyl Morokhovych

Proceedings of The Seventh International Workshop on Computer Modeling and Intelligent Systems (CMIS-2024), 2024

2023

Designing the Algorithms for Constructing a Triangle with Maximum Area.

Oksana Mulesa, Bogdan Rublyov, Igor Povkhan, Ihor Sihetii, Nika Kocherha, Yurii Bilak

Proceedings of the 18th IEEE International Conference on Computer Science and Information Technologies, 2023

2022

Prediction of the Occurrence of Threatening Conditions in Individuals as a Problem of Assigning an Object to a Class.

Oksana Mulesa, Olena Yatsyna, Olena Melnyk, Ivan Myronyuk, Igor Povkhan, Anatoliy Batyuk

Proceedings of the 17th IEEE International Conference on Computer Sciences and Information Technologies, 2022

The Problem of Convergence of Classifiers Construction Procedure in the Schemes of Logical and Algorithmic Classification Trees.

Igor Povkhan, Oksana Mulesa, Olena Melnyk, Yuriy Bilak, Volodymyr Polishchuk

Proceedings of The Fifth International Workshop on Computer Modeling and Intelligent Systems (CMIS-2022), 2022

2021

Development of a Method to Find the Location of a Logistics Hub.

Oksana Mulesa, Oleksandr Mitsa, Tamara Radivilova, Igor Povkhan, Olena Melnyk

Proceedings of the Selected Papers of the VIII International Scientific Conference "Information Technology and Implementation" (IT&I-2021). Conference Proceedings, 2021

2020

The Issue of Efficient Generation of Generalized Features in Algorithmic Classification Tree Methods.

Igor Povkhan, Maksym Lupei, Mykhailo Kliap, Vasyl Laver

DSMP (Selected Papers), 2020

The Algorithmic Classification Trees.

Igor Povkhan, Maksym Lupei

Proceedings of the IEEE Third International Conference on Data Stream Mining, Processing, 2020

Determining the Eligibility of Candidates for a Vacancy Using Artificial Neural Networks.

Maksym Lupei, Alexander Mitsa, Igor Povkhan, Vasyl Sharkan

Proceedings of the IEEE Third International Conference on Data Stream Mining, Processing, 2020

A constrained method of constructing the logic classification trees on the basis of elementary attribute selection.

Igor Povkhan

Proceedings of The Third International Workshop on Computer Modeling and Intelligent Systems (CMIS-2020), 2020