Models and methods of artificial intelligence and machine learning
Models and methods of artificial intelligence and machine learning
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Vol. 8 № 2 2025 179-196 |
Analysis of existing approaches to automated refactoring of object-oriented software systems |
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Vol. 8 № 2 2025 164–178 |
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Vol. 7 № 4 2024 384–392 |
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Vol. 7 № 4 2024 371–383 |
Heterogeneous ensemble classifier in computer systems for medical diagnostics |
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Vol. 7 № 4 2024 347–360 |
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Vol. 7 № 3 2024 253–261 |
Accurate crowd counting for intelligent video surveillance systems |
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Vol. 6 № 4 2023 308–319 |
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Vol. 6 № 3 2023 203–214 |
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Vol. 6 № 2 2023 128–138 |
An adaptive convolutional neural network model for human facial expression recognition |
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Vol. 6 № 1 2023 26–38 |
Evaluation metrics systematization for 2D human poses analysis models |
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Vol. 6 № 1 2023 13–25 |
Gait recognition methods in the task of biometric human identification |
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Vol. 4 № 4 2021 295-302 |
Accelerating the learning process of a neural network by predicting the weight coefficient |
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Vol. 4 № 2 2021 123–134 |
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Vol. 3 № 3 2020 136–148 |
Classification of skin lesions using multi-task deep neural networks |
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Vol. 3 № 3 2020 C. 125–135 |
Setting up the genetic algorithm for the individualized treatment strategy searching |
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Vol. 3 № 2 2020 34-41 |
Feature selection for predicting the patient state in distant postoperative period |
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Vol. 2 № 1 2019 24-28 |
Volterra neural network construction in the nonlinear dynamic systems modeling problem |
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