Abstract Machine learning (ML) models are nowadays used in complex applications in
various domains, such as medicine, bioinformatics, and other sciences. Due to their black …

Atmospheric particulate matter (PM) is a complex mixture of many different substances and
requires a suite of instruments for chemical characterization. Fourier transform infrared (FT …

Automatic data classification is a computationally intensive task that presents variable
precision and is considerably sensitive to the classifier configuration and to data …

Understanding three-dimensional projections created by dimensionality reduction from high-
variate datasets is very challenging. In particular, classical three-dimensional scatterplots …

As dimensionality increases, analysts are faced with difficult problems to make sense of their
data. In exploratory data analysis, multidimensional scaling projections can help analyst to …

Manufacturing industries now leverage high-dimensional streaming video data from diverse
sensors, represented as tensors (multidimensional arrays of channels× signals× time), for …