Article or book title, author's surname, DOI

Yu.E. Gapanyuk

Ю.Е. Гапанюк

14 articles 2016–2025

2025

  1. Evaluation of semantic similarity between sentences in Russian using sentence transformers Neurocomputers, No. 5, 2025 pp. 17-22
  2. Research of unsupervised machine learning methods for data analy-sis and preparation and modern approaches to building machine learning models – automated machine learning systems Neurocomputers, No. 1, 2025 pp. 47-55

2023

  1. Features of the implementation of metagraph agents based on the production approach Dynamics of Complex Systems - XXI century, No. 3, 2023 pp. 78-84
  2. Representation of a metagraph model as a category Dynamics of Complex Systems - XXI century, No. 3, 2023 pp. 72-77
  3. Development of a library for the group method of data handling Dynamics of Complex Systems - XXI century, No. 2, 2023 pp. 51-65

2020

  1. A hybrid intelligent information system for physical exercise motion recognition Dynamics of Complex Systems - XXI century, No. 3, 2020 pp. 35-43
  2. Using the metagraph approach in conceptual modeling Dynamics of Complex Systems - XXI century, No. 2, 2020 pp. 54-62
  3. Аrecommendation system building based on the approach of hybrid intelligent information systems Dynamics of Complex Systems - XXI century, No. 2, 2020 pp. 42-53
  4. Automatic question generation based on texts and knowledge graphs Dynamics of Complex Systems - XXI century, No. 4, 2020 pp. 55-64

2017

  1. Analysis of the deep neural networks characteristics in the context of digits recognition task Neurocomputers, No. 2, 2017 pp. 24-30

2016

  1. Time series forecasting based on symbolic regression Information-measuring and Control Systems, No. 12, 2016 pp. 140-142
  2. Predicate representation of metagraph data model Information-measuring and Control Systems, No. 12, 2016 pp. 122-131
  3. The structure of the hybrid intelligent information system based on metagraphs Neurocomputers, No. 9, 2016 pp. 3-13
  4. The data clustering on the base of Self-organizing incremental neural networks and Markov clustering algorithm Neurocomputers, No. 4, 2016 pp. 3-13