Maksim Belyaev
Orcid: 0000-0002-1771-6502
According to our database1,
Maksim Belyaev authored at least 22 papers
between 2018 and 2026.
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Collaborative distances:
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Bibliography
2026
Clinical decision support system for detecting right ventricular dysfunction in acute pulmonary embolism: Explainable a new Binary Rule Search (BRS) ensembles and robustness evaluation.
Artif. Intell. Medicine, 2026
2025
A Novel Approach for Estimating Positive Lyapunov Exponents in One-Dimensional Chaotic Time Series Using Machine Learning.
CoRR, July, 2025
2024
Objective Features Extracted from Motor Activity Time Series for Food Addiction Analysis Using Machine Learning.
CoRR, 2024
2023
Entropy-Based Machine Learning Model for Fast Diagnosis and Monitoring of Parkinson's Disease.
Sensors, October, 2023
A Bio-Inspired Chaos Sensor Model Based on the Perceptron Neural Network: Machine Learning Concept and Application for Computational Neuro-Science.
Sensors, August, 2023
Entropy-based machine learning model for diagnosis and monitoring of Parkinson's Disease in smart IoT environment.
CoRR, 2023
Imagery Tracking of Sun Activity Using 2D Circular Kernel Time Series Transformation, Entropy Measures and Machine Learning Approaches.
CoRR, 2023
A Bio-Inspired Chaos Sensor Based on the Perceptron Neural Network: Concept and Application for Computational Neuro-science.
CoRR, 2023
Neural Network Entropy (NNetEn): EEG Signals and Chaotic Time Series Separation by Entropy Features, Python Package for NNetEn Calculation.
CoRR, 2023
Neural Network Entropy (NNetEn): Entropy-Based EEG Signal and Chaotic Time Series Classification, Python Package for NNetEn Calculation.
Algorithms, 2023
2022
Entropy Approximation by Machine Learning Regression: Application for Irregularity Evaluation of Images in Remote Sensing.
Remote. Sens., December, 2022
Bifurcation and Entropy Analysis of a Chaotic Spike Oscillator Circuit Based on the S-Switch.
Entropy, November, 2022
Machine Learning Sensors for Diagnosis of COVID-19 Disease Using Routine Blood Values for Internet of Things Application.
Sensors, 2022
Detection of Risk Predictors of COVID-19 Mortality with Classifier Machine Learning Models Operated with Routine Laboratory Biomarkers.
CoRR, 2022
2021
Higher-order and long-range synchronization effects for classification and computing in oscillator-based spiking neural networks.
Neural Comput. Appl., 2021
2020
Switching dynamics of single and coupled VO2-based oscillators as elements of neural networks.
CoRR, 2020
Thermal coupling and effect of subharmonic synchronization in a system of two VO2 based oscillators.
CoRR, 2020
2019
The non-capacitor model of leaky integrate-and-fire VO<sub>2</sub> neuron with the thermal mechanism of the membrane potential.
CoRR, 2019
2018
Model of an oscillatory neural network with multilevel neurons for pattern recognition.
CoRR, 2018
Effects of Higher Order and Long-Range Synchronizations for Classification and Computing in Oscillator-Based Spiking Neural Networks.
CoRR, 2018