Abstract: Ensuring the quality and reliability of multimodal video data is critical for applications that rely on accurate interpretation, such as medical imaging, surveillance, remote sensing and ...
## Preprocessing Libraries from sklearn.preprocessing import LabelEncoder, StandardScaler from sklearn.model_selection import train_test_split from imblearn.under_sampling import RandomUnderSampler ...
Abstract: When analyzing heterogeneous data comprising numerical and categorical attributes, it is common to treat the different data types separately or transform the categorical attributes to ...
ABSTRACT: This study investigates the application of cumulative link models with alternative distributions (hyperbolic secant, Laplace, and Cauchy) to model ordinal outcomes of depressive severity ...