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Viacheslav Moskalenko

Biographic Data

ID8168041
NAMEViacheslav Moskalenko
GIVEN NAMESViacheslav
FAMILY NAMEMoskalenko
SIGNATUREMOSKALENKO V
AFFILIATIONSSumy State University
ORCID0000-0001-6275-9803
VERIFIEDYes
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2024
H-INDEX0
  • Resilience-aware MLOps for AI-based medical diagnostic system

    Open Access•Viacheslav Moskalenko, Vyacheslav Kharchenko•ARTICLE•Frontiers in Public Health•2024

    Background The healthcare sector demands a higher degree of responsibility, trustworthiness, and accountability when implementing Artificial Intelligence (AI) systems. Machine learning operations (MLOps) for AI-based medical diagnostic systems are primarily focused on aspects such as data quality and confidentiality, bias reduction, model deployment, performance monitoring, and continuous improvement. However, so far, MLOps techniques do not take…

No prominent works on this page.

  • Resilience-aware MLOps for AI-based medical diagnostic system

    Open Access•Viacheslav Moskalenko, Vyacheslav Kharchenko•ARTICLE•Frontiers in Public Health•2024

    Background The healthcare sector demands a higher degree of responsibility, trustworthiness, and accountability when implementing Artificial Intelligence (AI) systems. Machine learning operations (MLOps) for AI-based medical diagnostic systems are primarily focused on aspects such as data quality and confidentiality, bias reduction, model deployment, performance monitoring, and continuous improvement. However, so far, MLOps techniques do not take…

Adversarial Robustness in Machine Learning (1 work) · Artificial Intelligence (1 work) · Computer Science (1 work) · Data mining (1 work) · Engineering (1 work) · Environmental and Industrial Safety (1 work) · Explainable Artificial Intelligence (XAI (1 work) · Inference (1 work) · Machine learning (1 work) · Reliability engineering (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae