Abstract: In this paper, expressions for multivariate Rayleigh and exponential probability density functions (PDFs) generated from correlated Gaussian random variables are presented. We first obtain a ...

CONFETTI is a multi-objective method for generating counterfactual explanations for multivariate time series classifiers. It identifies the most influential features or temporal regions, constructs a ...

Abstract: Analytic combinatorics in several variables is a branch of mathematics that deals with deriving the asymptotic behavior of combinatorial quantities by analyzing multivariate generating ...

Not long ago, AI agents were the exclusive territory of research papers, academic conferences, and speculative tech blogs. Today? They’re scheduling meetings, resolving support tickets, analyzing ...

Multivariate panel data of mixed type are routinely collected in many different areas of application, often jointly with additional covariates which complicate the statistical analysis. Moreover, it ...

The enterosalivary nitrate–nitrite–nitric oxide (NO 3 –NO 2 –NO) pathway generates NO following oral microbiota‐mediated production of salivary nitrite, potentially linking the oral microbiota to ...

Figure 1: A biologics manufacturing process consists of three main steps. Continued process verification (CPV) is an integral part of process validation for the manufacture of human and animal drugs ...

Functional Inorganic Materials Team, Instituto de Ciencia Molecular (ICMol), Universitat de València, Paterna, 46980 València, Spain ...

This is a Keras implementation of the Deep Temporal Clustering (DTC) model, an architecture for joint representation learning and clustering on multivariate time series, presented in the paper [1]: ...

Department of Chemistry, Texas A&M University, College Station, Texas 77843-3255, United States College of Chemistry, Tianjin Normal University, Tianjin, 300387, China Key Laboratory of Advanced ...