Showing 1 - 5 results of 5 for search 'Ilya Makarov' Skip to content
    • About the Library
    • Rules and Regulations
    • Library Services
    • Library Hours
  • Library News
    • Digital Repository
    • Google Scholar
    • ResearchGate
    • AJoGPL
    • KURJ
    • AJLS
    • MyLOFT
    • Lexis Plus UK
    • Britannica Academic
    • Research Support Tools
    • Quick Resource Links
  • Login
Advanced
  • Author
  • Ilya Makarov
Showing 1 - 5 results of 5 for search 'Ilya Makarov', query time: 0.01s Refine Results
  1. 1
    Graph-Attention Diffusion for Enhanced Multivariate Time-Series Anomaly Detection

    Graph-Attention Diffusion for Enhanced Multivariate Time-Series Anomaly Detection by Vadim Lanko, Ilya Makarov

    Published 2024-01-01
    Get full text
    Article
    Save to List
    Saved in:
  2. 2
    Advancing Sequential Manga Colorization for AR Through Data Synthesis

    Advancing Sequential Manga Colorization for AR Through Data Synthesis by Maksim Golyadkin, Sergey Saraev, Ilya Makarov

    Published 2025-01-01
    Get full text
    Article
    Save to List
    Saved in:
  3. 3
    Boosting Depth Estimation for Self-Driving in a Self-Supervised Framework via Improved Pose Network

    Boosting Depth Estimation for Self-Driving in a Self-Supervised Framework via Improved Pose Network by Yazan Dayoub, Andrey V. Savchenko, Ilya Makarov

    Published 2025-01-01
    Get full text
    Article
    Save to List
    Saved in:
  4. 4
    Adversarial Attacks and Defenses in Fault Detection and Diagnosis: A Comprehensive Benchmark on the Tennessee Eastman Process

    Adversarial Attacks and Defenses in Fault Detection and Diagnosis: A Comprehensive Benchmark on the Tennessee Eastman Process by Vitaliy Pozdnyakov, Aleksandr Kovalenko, Ilya Makarov, Mikhail Drobyshevskiy, Kirill Lukyanov

    Published 2024-01-01
    Get full text
    Article
    Save to List
    Saved in:
  5. 5
    SensorDBSCAN: Semi-Supervised Active Learning Powered Method for Anomaly Detection and Diagnosis

    SensorDBSCAN: Semi-Supervised Active Learning Powered Method for Anomaly Detection and Diagnosis by Petr Ivanov, Maria Shtark, Alexander Kozhevnikov, Maksim Golyadkin, Dmitry Botov, Ilya Makarov

    Published 2025-01-01
    Get full text
    Article
    Save to List
    Saved in:

Search Tools:

  • RSS Feed
  • Email Search

Search Options

  • Search History
  • Advanced Search

Find More

  • Browse the Catalog
  • Explore Channels
  • Course Reserves
  • New Items

Need Help?

  • Search Tips
  • Ask a Librarian
  • FAQs