most citedDeep Particulate Matter Forecasting Model Using Correntropy-Induced Loss

3 citations · 3 across the 1 of their papers we have counts for

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1 paper

stat.ML2021★ 3 cited

Deep Particulate Matter Forecasting Model Using Correntropy-Induced Loss

Jongsu Kim, Changhoon Lee

Forecasting the particulate matter (PM) concentration in South Korea has become urgently necessary owing to its strong negative impact on human life. In most statistical or machine…