Purpose: This study introduces two-dimensional (2D) Kernel Density Estimation (KDE) plots as a novel tool for visualising Training Intensity Distribution (TID) in biathlon. The goal was to assess how ...
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ABSTRACT: In real-world applications, datasets frequently contain outliers, which can hinder the generalization ability of machine learning models. Bayesian classifiers, a popular supervised learning ...
ABSTRACT: In real-world applications, datasets frequently contain outliers, which can hinder the generalization ability of machine learning models. Bayesian classifiers, a popular supervised learning ...
Abstract: Noise is inevitably common in digital images, leading to visual image deterioration. Therefore, a suitable filtering method is required to lessen the noise while preserving the image ...
Abstract: This paper proposes a data-driven robust scheduling method for power systems incorporating variable energy. Robust kernel density estimation (RKDE) is combined with distributionally robust ...
School of Computer Science and Technology, Xidian University, Xi'an, China Copy number variations (CNVs) are significant causes of many human cancers and genetic diseases. The detection of CNVs has ...
Perform KDE on a GeoJSON of point geometries and write the result to a GeoTIFF raster file with rasterio: gdf = geopandas.read_file("vector_points.geojson") kde_array, array_bounds = geokde.kde(gdf, 1 ...
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