Computer Science
Exploring Innovative Approaches to Synthetic Tabular Data Generation
E. Papadaki, A. G. Vrahatis, et al.
Dive into the revolutionary methodologies of data generation with cutting-edge insights from Eugenia Papadaki, Aristidis G. Vrahatis, and Sotiris Kotsiantis. This paper explores statistical and machine learning techniques, including GANs and innovative strategies, tackling challenges like data scarcity and privacy concerns—all while enhancing interpretability.
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