• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 23 matches

• 2024
• 
  Mikhail Borisenkov, Andrei Velichko, Maksim Belyaev, Dmitry G. Korzun, Tatyana Tserne, Larisa Bakutova, Denis Gubin:
  Objective Features Extracted from Motor Activity Time Series for Food Addiction Analysis Using Machine Learning. CoRR abs/2409.00310 (2024)
• 2023
• 
  Andrei Velichko, Maksim Belyaev, Yuriy Izotov, Murugappan Murugappan, Hanif Heidari:
  Neural Network Entropy (NNetEn): Entropy-Based EEG Signal and Chaotic Time Series Classification, Python Package for NNetEn Calculation. Algorithms 16(5): 255 (2023)
• 
  Maksim Belyaev, Murugappan Murugappan, Andrei Velichko, Dmitry G. Korzun:
  Entropy-Based Machine Learning Model for Fast Diagnosis and Monitoring of Parkinson's Disease. Sensors 23(20): 8609 (2023)
• 
  Andrei Velichko, Petr Boriskov, Maksim Belyaev, Vadim Putrolaynen:
  A Bio-Inspired Chaos Sensor Model Based on the Perceptron Neural Network: Machine Learning Concept and Application for Computational Neuro-Science. Sensors 23(16): 7137 (2023)
• 
  Andrei Velichko, Maksim Belyaev, Yuriy Izotov, Murugappan Murugappan, Hanif Heidari:
  Neural Network Entropy (NNetEn): EEG Signals and Chaotic Time Series Separation by Entropy Features, Python Package for NNetEn Calculation. CoRR abs/2303.17995 (2023)
• 
  Andrei Velichko, Petr Boriskov, Maksim Belyaev, Vadim Putrolaynen:
  A Bio-Inspired Chaos Sensor Based on the Perceptron Neural Network: Concept and Application for Computational Neuro-science. CoRR abs/2306.01991 (2023)
• 
  Irewola Aaron Oludehinwa, Andrei Velichko, Maksim Belyaev, Olasunkanmi I. Olusola:
  Imagery Tracking of Sun Activity Using 2D Circular Kernel Time Series Transformation, Entropy Measures and Machine Learning Approaches. CoRR abs/2306.08270 (2023)
• 
  Maksim Belyaev, Murugappan Murugappan, Andrei Velichko, Dmitry G. Korzun:
  Entropy-based machine learning model for diagnosis and monitoring of Parkinson's Disease in smart IoT environment. CoRR abs/2309.07134 (2023)
• 2022
• 
  Petr Boriskov, Andrei Velichko, Nikolay Shilovsky, Maksim Belyaev:
  Bifurcation and Entropy Analysis of a Chaotic Spike Oscillator Circuit Based on the S-Switch. Entropy 24(11): 1693 (2022)
• 
  Andrei Velichko, Maksim Belyaev, Matthias P. Wagner, Alireza Taravat:
  Entropy Approximation by Machine Learning Regression: Application for Irregularity Evaluation of Images in Remote Sensing. Remote. Sens. 14(23): 5983 (2022)
• 
  Andrei Velichko, Mehmet Tahir Huyut, Maksim Belyaev, Yuriy Izotov, Dmitry G. Korzun:
  Machine Learning Sensors for Diagnosis of COVID-19 Disease Using Routine Blood Values for Internet of Things Application. Sensors 22(20): 7886 (2022)
• 
  Sabina Belyaeva, Maksim Ivanov, Aleksey Korneev, Yury Yanovich:
  AmIOnline: Blockchain-based Availability Testing Service. ICBTA 2022: 122-128
• 
  Andrei Velichko, Mehmet Tahir Huyut, Maksim Belyaev, Yuriy Izotov, Dmitry G. Korzun:
  Machine Learning Sensors for Diagnosis of COVID-19 Disease Using Routine Blood Values for Internet of Things Application. CoRR abs/2209.03522 (2022)
• 
  Andrei Velichko, Maksim Belyaev, Matthias P. Wagner, Alireza Taravat:
  Entropy Approximation by Machine Learning Regression: Application for Irregularity Evaluation of Images in Remote Sensing. CoRR abs/2210.06901 (2022)
• 
  Mehmet Tahir Huyut, Andrei Velichko, Maksim Belyaev:
  Detection of Risk Predictors of COVID-19 Mortality with Classifier Machine Learning Models Operated with Routine Laboratory Biomarkers. CoRR abs/2210.12342 (2022)
• 2021
• 
  Andrei Velichko, Vadim Putrolaynen, Maksim Belyaev:
  Higher-order and long-range synchronization effects for classification and computing in oscillator-based spiking neural networks. Neural Comput. Appl. 33(8): 3113-3131 (2021)
• 2020
• 
  Andrei Velichko, Maksim Belyaev, Vadim Putrolaynen, Valentin Perminov, Alexander Pergament:
  Thermal coupling and effect of subharmonic synchronization in a system of two VO2 based oscillators. CoRR abs/2001.01382 (2020)
• 
  Andrei Velichko, Maksim Belyaev, Vadim Putrolaynen, Alexander Pergament, Valentin Perminov:
  Switching dynamics of single and coupled VO2-based oscillators as elements of neural networks. CoRR abs/2001.01854 (2020)
• 2019
• 
  Sergey Podryadchikov, Vadim Putrolaynen, Maksim Belyaev, Mikhail Chuvstvin, Igor Tabachnik:
  FPGA-based testing system of NAND-memory multi-chip modules. Microelectron. J. 83: 73-76 (2019)
• 
  Andrey Velichko, Maksim Belyaev, D. V. Ryabokon, S. D. Khanin:
  The non-capacitor model of leaky integrate-and-fire VO₂ neuron with the thermal mechanism of the membrane potential. CoRR abs/1911.02547 (2019)
• 
  Maksim Belyaev, A. A. Velichko:
  Capacitorless Model of a VO2 Oscillator. CoRR abs/1911.06983 (2019)
• 2018
• 
  Andrey Velichko, Vadim Putrolaynen, Maksim Belyaev:
  Effects of Higher Order and Long-Range Synchronizations for Classification and Computing in Oscillator-Based Spiking Neural Networks. CoRR abs/1804.03395 (2018)
• 
  Andrey Velichko, Maksim Belyaev, Petr Boriskov:
  Model of an oscillatory neural network with multilevel neurons for pattern recognition. CoRR abs/1806.03079 (2018)