In real life, situations may arise when the available data are insufficient to provide accurate estimates for the domain, the small area estimation (SAE) technique has been used to get accurate ...
While nearly all computational methods operate on pseudonymized personal data, re-identification remains a risk. With personal health data, this re-identification risk may be considered a ...
Synthetic data generation has emerged as a crucial technique for addressing various challenges, including data privacy, scarcity and bias. By creating artificial data that mimics real-world datasets, ...
The majority of recent empirical papers in operations management (OM) employ observational data to investigate the causal effects of a treatment, such as program or policy adoption. However, as ...
Sajal works at Kyndryl, advises startups, ex-Innovation Expert for UN Compact and member, EU Commission's Apply AI Alliance. The AI industry is bound to face a paradox. Synthetic data can democratize ...
The rising resistance of bacteria to antibiotics presents an escalating global health risk. Now, researchers at the Max Planck Institute for Terrestrial Microbiology in Marburg, Germany, have combined ...
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