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Rethinking bias mitigation: Fairer architectures make for fairer face recognition
Face recognition systems are widely deployed in safety-critical applications, including law
enforcement, yet they exhibit bias across a range of socio-demographic dimensions, such as …
enforcement, yet they exhibit bias across a range of socio-demographic dimensions, such as …
DemOpts: Fairness corrections in COVID-19 case prediction models
COVID-19 forecasting models have been used to inform decision making around resource
allocation and intervention decisions eg, hospital beds or stay-at-home orders. State of the …
allocation and intervention decisions eg, hospital beds or stay-at-home orders. State of the …
Assessing the Impact of Case Correction Methods on the Fairness of COVID-19 Predictive Models
One of the central difficulties of addressing the COVID-19 pandemic has been accurately
measuring and predicting the spread of infections. In particular, official COVID-19 case …
measuring and predicting the spread of infections. In particular, official COVID-19 case …
Differential neural architecture search for tabular data: Efficient neural network design for tabular datasets
M Medhage - 2024 - diva-portal.org
Artificial neural networks are some of the most powerful machine learning models and have
gained interest in the telecommunications domain as well as other fields and applications …
gained interest in the telecommunications domain as well as other fields and applications …