Search Results - "Sarin, Konstantin"

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  1. 1

    Feature Selection Based on Swallow Swarm Optimization for Fuzzy Classification by Hodashinsky, Ilya, Sarin, Konstantin, Shelupanov, Alexander, Slezkin, Artem

    Published in Symmetry (Basel) (01-11-2019)
    “…This paper concerns several important topics of the Symmetry journal, namely, pattern recognition, computer-aided design, diversity and similarity. We also…”
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    Journal Article
  2. 2

    A wrapper metaheuristic framework for handwritten signature verification by Hancer, Emrah, Hodashinsky, Ilya, Sarin, Konstantin, Slezkin, Artyom

    Published in Soft computing (Berlin, Germany) (2021)
    “…Handwritten signature verification is one of the most fast, intuitive and cost-effective tools for user authentication. However, the analysis of the…”
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    Journal Article
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    A three-stage fuzzy classifier method for Parkinson’s disease diagnosis using dynamic handwriting analysis by Sarin, Konstantin, Bardamova, Marina, Svetlakov, Mikhail, Koryshev, Nikolay, Ostapenko, Roman, Hodashinskaya, Antonina, Hodashinsky, Ilya

    Published in Decision analytics journal (01-09-2023)
    “…Finding low-cost and insightful methods to reinforce the diagnosis of Parkinson’s disease is a major challenge today, and using dynamic handwritten data may be…”
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    Journal Article
  5. 5

    Bagged ensemble of fuzzy classifiers and feature selection for handwritten signature verification by Sarin, K.S., Hodashinsky, I.A.

    Published in Kompʹûternaâ optika (01-10-2019)
    “…Handwritten signature verification is an important research area in the field of person authentication and biometric identification. There are two known…”
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    Journal Article
  6. 6

    Dynamic-signature-based user authentication using a fuzzy classifier by Hodashinsky, I., Kostyuchenko, E., Sarin, K., Anfilofiev, A., Bardamova, M., Samsonov, S., Filimonenko, I.

    Published in Kompʹûternaâ optika (01-08-2018)
    “…Dynamic signature verification is one of the most fast, intuitive, and cost effective tools for user authentication. Dynamic signature recognition uses…”
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    Journal Article
  7. 7

    Linear Regression to Determine the Cluster Radius for Fuzzy Rule Base Generation by Sarin, Konstantin, Hodashinsky, Ilya, Filimonenko, Igor

    “…Clustering and classification are important problems of machine learning. In this field, meta-learning is employed to discover regularities in data and select…”
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    Conference Proceeding
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