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researcher

A. Velichko

21 papers hereh-index 14562 citations53 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author3
  • first author8
  • middle author8
  • last author1

Across the 20 of 21 papers where every author was matched, so the position is known.

fields
  • cs.LG8
  • cs.NE3
  • eess.SP2
  • nlin.AO2
  • physics.app-ph2
  • astro-ph.SR1
same name
  • A. Velichko — 6 papers, h 14
  • A. Velichko — 6 papers, h 3
  • A. Velichko — 4 papers, h 5
  • A. Velichko — 3 papers, h 12
  • A. Velichko — 3 papers, h 8
  • A. Velichko — 2 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182026
most citedMachine Learning Sensors for Diagnosis of COVID-19 Disease Using Routine Blood Values for Internet of Things Application

49 citations · 272 across the 13 of their papers we have counts for

collaborators
Showing 2022Show all

3 papers · 1 filter

cs.LG2022★ 29 cited

Detection of Risk Predictors of COVID-19 Mortality with Classifier Machine Learning Models Operated with Routine Laboratory Biomarkers

Mehmet Tahir Huyut, Andrei Velichko, Maksim Belyaev

Early evaluation of patients who require special care and who have high death-expectancy in COVID-19, and the effective determination of relevant biomarkers on large sample-groups…

cs.LG2022★ 9 cited

Entropy Approximation by Machine Learning Regression: Application for Irregularity Evaluation of Images in Remote Sensing

Andrei Velichko, Maksim Belyaev, Matthias P. Wagner +1

Approximation of entropies of various types using machine learning (ML) regression methods are shown for the first time. The ML models presented in this study define the complexity…

cs.LG2022★ 49 cited

Machine Learning Sensors for Diagnosis of COVID-19 Disease Using Routine Blood Values for Internet of Things Application

Andrei Velichko, Mehmet Tahir Huyut, Maksim Belyaev +2

Healthcare digitalization requires effective applications of human sensors, when various parameters of the human body are instantly monitored in everyday life due to the Internet o…

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