most citedAutoEn: An AutoML method based on ensembles of predefined Machine Learning pipelines for supervised Traffic Forecasting

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2023★ 2 cited

AutoEn: An AutoML method based on ensembles of predefined Machine Learning pipelines for supervised Traffic Forecasting

Juan S. Angarita-Zapata, Antonio D. Masegosa, Isaac Triguero

Intelligent Transportation Systems are producing tons of hardly manageable traffic data, which motivates the use of Machine Learning (ML) for data-driven applications, such as Traf…