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on the Development and validation of a synthetic data generation algorithm based on different approaches to improve understanding the behavior of forecasting algorithms in time series and tabular data
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origin or condition, genetic heritage, reduced working capacity, disability, chronic illness, nationality, ethnic origin or race, territory of origin, language, religion, political or ideological beliefs
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, social origin or condition, genetic heritage, reduced working capacity, disability, chronic illness, nationality, ethnic origin or race, territory of origin, language, religion, political or ideological
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, on grounds including ancestry, age, sexual orientation, marital status, family situation, economic situation, education, origin or social condition, genetic heritage, reduced work capacity