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pro vyhledávání: '"Gabriela Czibula"'
Autor:
Gabriela Czibula, Andrei Bratu
Publikováno v:
Scientific Programming, Vol 2021 (2021)
Data augmentation is a commonly used technique in data science for improving the robustness and performance of machine learning models. The purpose of the paper is to study the feasibility of generating synthetic data points of temporal nature toward