Achievement Award, period of 10/01/2023 to 01/25/2024 Luca SartoreLuca Sartore proposes a novel approach to generate a synthetic multidimensional dataset while preserving implicit collinearity among variables. The proposed algorithm can efficiently generate synthetic records. He also developed... more
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