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Synthetic Data for Deep Learning

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  • Sergey I. Nikolenko

    (Synthesis AI)

Abstract

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Suggested Citation

  • Sergey I. Nikolenko, 2021. "Synthetic Data for Deep Learning," Springer Optimization and Its Applications, Springer, number 978-3-030-75178-4, December.
    • Handle: RePEc:spr:spopap:978-3-030-75178-4
    DOI: 10.1007/978-3-030-75178-4
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    Citations

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    Cited by:

    1. Michael Meiser & Ingo Zinnikus, 2024. "A Survey on the Use of Synthetic Data for Enhancing Key Aspects of Trustworthy AI in the Energy Domain: Challenges and Opportunities," Energies, MDPI, vol. 17(9), pages 1-29, April.
    2. José A. Torres-León & Marco A. Moreno-Armendáriz & Hiram Calvo, 2024. "Representing the Information of Multiplayer Online Battle Arena (MOBA) Video Games Using Convolutional Accordion Auto-Encoder (A 2 E) Enhanced by Attention Mechanisms," Mathematics, MDPI, vol. 12(17), pages 1-19, September.
    3. Delgado, Guillem & Cortés, Andoni & García, Sara & Loyo, Estíbaliz & Berasategi, Maialen & Aranjuelo, Nerea, 2023. "Methodology for generating synthetic labeled datasets for visual container inspection," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 175(C).
    4. Alvaro Figueira & Bruno Vaz, 2022. "Survey on Synthetic Data Generation, Evaluation Methods and GANs," Mathematics, MDPI, vol. 10(15), pages 1-41, August.
    5. Sonan Memon, 2022. "Inflation in Pakistan: High-Frequency Estimation and Forecasting," PIDE-Working Papers 2022:12, Pakistan Institute of Development Economics.
    6. Ravil I. Mukhamediev & Yelena Popova & Yan Kuchin & Elena Zaitseva & Almas Kalimoldayev & Adilkhan Symagulov & Vitaly Levashenko & Farida Abdoldina & Viktors Gopejenko & Kirill Yakunin & Elena Muhamed, 2022. "Review of Artificial Intelligence and Machine Learning Technologies: Classification, Restrictions, Opportunities and Challenges," Mathematics, MDPI, vol. 10(15), pages 1-25, July.
    7. Hasan Tercan & Tobias Meisen, 2022. "Machine learning and deep learning based predictive quality in manufacturing: a systematic review," Journal of Intelligent Manufacturing, Springer, vol. 33(7), pages 1879-1905, October.
    8. Shouji Fujimoto & Atushi Ishikawa & Takayuki Mizuno, 2022. "Copula-Based Synthetic Data Generation in Firm-Size Variables," The Review of Socionetwork Strategies, Springer, vol. 16(2), pages 479-492, October.

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