Andrei Velichko

44 papers C 1Journal 43

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	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 Mehmet Tahir Huyut, Andrei Velichko, Maksim Belyaev, Yuriy Izotov, Mustafa Tosun, Bünyamin Sertogullarindan, Sebnem Karaoglanoglu, Abdussamed Yasin Demir, Dmitry G. Korzun
2026	J	`jnl`	Direct Finite-Time Contraction (Step-Log) Profiling-Driven Optimization of Parallel Schemes for Nonlinear Problems on Multicore Architectures. CoRR Mudassir Shams, Andrei Velichko, Bruno Carpentieri
2026	J	`jnl`	Interpretable AI-Assisted Early Reliability Prediction for a Two-Parameter Parallel Root-Finding Scheme. CoRR Bruno Carpentieri, Andrei Velichko, Mudassir Shams, Paola Lecca
2026	J	`jnl`	Optimizing Parallel Schemes with Lyapunov Exponents and kNN-LLE Estimation. CoRR Mudassir Shams, Andrei Velichko, Bruno Carpentieri
2025	J	`jnl`	A compact structure for triple-memristor maps with a hyperplane of fixed points. Integr. Viet-Thanh Pham, Jesús M. Muñoz-Pacheco, Andrei Velichko, Salah Mahmoud Boulaaras, Shaher Momani
2025	J	`jnl`	Entropy-statistical approach to phase-locking detection of oscillations. Frontiers Inf. Technol. Electron. Eng. Petr Boriskov, Vadim Putrolaynen, Andrei Velichko, Kristina Peltonen
2025	J	`jnl`	Evaluating COVID 19 Feature Contributions to Bitcoin Return Forecasting: Methodology Based on LightGBM and Genetic Optimization. CoRR Imen Mahmoud, Andrei Velichko
2025	J	`jnl`	Recursive Threshold Median Filter and Autoencoder for Salt-and-Pepper Denoising: SSIM analysis of Images and Entropy Maps. CoRR Petr Boriskov, Kirill Rudkovskii, Andrei Velichko
2025	J	`jnl`	Speech Command Recognition Using LogNNet Reservoir Computing for Embedded Systems. CoRR Yuriy Izotov, Andrei Velichko
2024	J	`jnl`	Analysis of memristive maps with asymmetry. Integr. Viet-Thanh Pham, Andrei Velichko, Van Van Huynh, Antonio Vincenzo Radogna, Giuseppe Grassi, Salah Mahmoud Boulaaras, Shaher Momani
2024	J	`jnl`	Entropy-statistical approach to phase-locking detection of pulse oscillations: application for the analysis of biosignal synchronization. CoRR Petr Boriskov, Vadim Putrolaynen, Andrei Velichko, Kristina Peltonen
2024	J	`jnl`	Objective Features Extracted from Motor Activity Time Series for Food Addiction Analysis Using Machine Learning. CoRR Mikhail Borisenkov, Andrei Velichko, Maksim Belyaev, Dmitry G. Korzun, Tatyana Tserne, Larisa Bakutova, Denis Gubin
2023	J	`jnl`	A Bio-Inspired Chaos Sensor Based on the Perceptron Neural Network: Concept and Application for Computational Neuro-science. CoRR Andrei Velichko, Petr Boriskov, Maksim Belyaev, Vadim Putrolaynen
2023	J	`jnl`	A Bio-Inspired Chaos Sensor Model Based on the Perceptron Neural Network: Machine Learning Concept and Application for Computational Neuro-Science. Sensors Andrei Velichko, Petr Boriskov, Maksim Belyaev, Vadim Putrolaynen
2023	J	`jnl`	Artificial Neural Networks for IoT-Enabled Smart Applications: Recent Trends. Sensors Andrei Velichko, Dmitry G. Korzun, Alexander Meigal
2023	J	`jnl`	Entropy-Based Machine Learning Model for Fast Diagnosis and Monitoring of Parkinson's Disease. Sensors Maksim Belyaev, Murugappan Murugappan, Andrei Velichko, Dmitry G. Korzun
2023	J	`jnl`	Entropy-based machine learning model for diagnosis and monitoring of Parkinson's Disease in smart IoT environment. CoRR Maksim Belyaev, Murugappan Murugappan, Andrei Velichko, Dmitry G. Korzun
2023	J	`jnl`	Imagery Tracking of Sun Activity Using 2D Circular Kernel Time Series Transformation, Entropy Measures and Machine Learning Approaches. CoRR Irewola Aaron Oludehinwa, Andrei Velichko, Maksim Belyaev, Olasunkanmi I. Olusola
2023	J	`jnl`	Neural Network Entropy (NNetEn): EEG Signals and Chaotic Time Series Separation by Entropy Features, Python Package for NNetEn Calculation. CoRR Andrei Velichko, Maksim Belyaev, Yuriy Izotov, Murugappan Murugappan, Hanif Heidari
2023	J	`jnl`	Neural Network Entropy (NNetEn): Entropy-Based EEG Signal and Chaotic Time Series Classification, Python Package for NNetEn Calculation. Algorithms Andrei Velichko, Maksim Belyaev, Yuriy Izotov, Murugappan Murugappan, Hanif Heidari
2022	J	`jnl`	A New Feature Selection Method for LogNNet and its Application for Diagnosis and Prognosis of COVID-19 Disease Using Routine Blood Values. CoRR Mehmet Tahir Huyut, Andrei Velichko
2022	J	`jnl`	Bifurcation and Entropy Analysis of a Chaotic Spike Oscillator Circuit Based on the S-Switch. Entropy Petr Boriskov, Andrei Velichko, Nikolay Shilovsky, Maksim Belyaev
2022	J	`jnl`	Detection of Risk Predictors of COVID-19 Mortality with Classifier Machine Learning Models Operated with Routine Laboratory Biomarkers. CoRR Mehmet Tahir Huyut, Andrei Velichko, Maksim Belyaev
2022	J	`jnl`	Diagnosis and Prognosis of COVID-19 Disease Using Routine Blood Values and LogNNet Neural Network. Sensors Mehmet Tahir Huyut, Andrei Velichko
2022	J	`jnl`	Entropy Approximation by Machine Learning Regression: Application for Irregularity Evaluation of Images in Remote Sensing. CoRR Andrei Velichko, Maksim Belyaev, Matthias P. Wagner, Alireza Taravat
2022	J	`jnl`	Entropy Approximation by Machine Learning Regression: Application for Irregularity Evaluation of Images in Remote Sensing. Remote. Sens. Andrei Velichko, Maksim Belyaev, Matthias P. Wagner, Alireza Taravat
2022	J	`jnl`	Machine Learning Sensors for Diagnosis of COVID-19 Disease Using Routine Blood Values for Internet of Things Application. CoRR Andrei Velichko, Mehmet Tahir Huyut, Maksim Belyaev, Yuriy Izotov, Dmitry G. Korzun
2022	J	`jnl`	Machine Learning Sensors for Diagnosis of COVID-19 Disease Using Routine Blood Values for Internet of Things Application. Sensors Andrei Velichko, Mehmet Tahir Huyut, Maksim Belyaev, Yuriy Izotov, Dmitry G. Korzun
2022	J	`jnl`	NNetEn2D: Two-Dimensional Neural Network Entropy in Remote Sensing Imagery and Geophysical Mapping. Remote. Sens. Andrei Velichko, Matthias P. Wagner, Alireza Taravat, Bruce Hobbs, Alison Ord
2022	J	`jnl`	Novel techniques for improvement the NNetEn entropy calculation for short and noisy time series. CoRR Hanif Heidari, Andrei Velichko
2022	C	`conf`	Two-Dimensional Neural Network Entropy for Remote Sensing Image Analysis. IGARSS Andrei Velichko, Matthias P. Wagner, Alireza Taravat
2021	J	`jnl`	A Method for Estimating the Entropy of Time Series Using Artificial Neural Networks. Entropy Andrei Velichko, Hanif Heidari
2021	J	`jnl`	A Method for Medical Data Analysis Using the LogNNet for Clinical Decision Support Systems and Edge Computing in Healthcare. CoRR Andrei Velichko
2021	J	`jnl`	A Method for Medical Data Analysis Using the LogNNet for Clinical Decision Support Systems and Edge Computing in Healthcare. Sensors Andrei Velichko
2021	J	`jnl`	A method for estimating the entropy of time series using artificial neural network. CoRR Andrei Velichko, Hanif Heidari
2021	J	`jnl`	An improved LogNNet classifier for IoT application. CoRR Hanif Heidari, Andrei Velichko
2021	J	`jnl`	Higher-order and long-range synchronization effects for classification and computing in oscillator-based spiking neural networks. Neural Comput. Appl. Andrei Velichko, Vadim Putrolaynen, Maksim Belyaev
2020	J	`jnl`	Concept of LIF Neuron Circuit for Rate Coding in Spike Neural Networks. IEEE Trans. Circuits Syst. Andrei Velichko, Petr Boriskov
2020	J	`jnl`	Neural Network for Low-Memory IoT Devices and MNIST Image Recognition Using Kernels Based on Logistic Map. CoRR Andrei Velichko
2020	J	`jnl`	Switching dynamics of single and coupled VO2-based oscillators as elements of neural networks. CoRR Andrei Velichko, Maksim Belyaev, Vadim Putrolaynen, Alexander Pergament, Valentin Perminov
2020	J	`jnl`	Thermal coupling and effect of subharmonic synchronization in a system of two VO2 based oscillators. CoRR Andrei Velichko, Maksim Belyaev, Vadim Putrolaynen, Valentin Perminov, Alexander Pergament
2019	J	`jnl`	A method for the classification of chimera states of coupled oscillators and its application for creating a neural network information converter. CoRR Andrei Velichko
2019	J	`jnl`	Oscillator Circuit for Spike Neural Network with Sigmoid Like Activation Function and Firing Rate Coding. CoRR Andrei Velichko, Petr Boriskov
2019	J	`jnl`	Switch Elements with S-Shaped Current-Voltage Characteristic in Models of Neural Oscillators. CoRR Petr Boriskov, Andrei Velichko