IEEE

Multivariate Time Series Forecasting Using Multiscale Recurrent Networks With Scale Attention and Cross-Scale Guidance

Abstract: Multivariate time series (MTS) forecasting is considered as a challenging task due to complex and nonlinear interdependencies between time steps and series. With the advance of deep learning ...
Microsoft

New Clickfix variant ‘CrashFix’ deploying Python Remote Access Trojan

CrashFix crashes browsers to coerce users into executing commands that deploy a Python RAT, abusing finger.exe and portable Python to evade detection and persist on high‑value systems.
IEEE

A Survey on Multivariate Time Series Imputation Using Adversarial Learning

Abstract: Multivariate time series (MTS) are captured in a great variety of real-world applications. However, analysing and modeling the data for classification and forecasting purposes can become ...
GitHub

Quasi-Monte-Carlo numerical computation of multivariate normal probabilities.

This function uses an algorithm given in the paper "Numerical Computation of Multivariate Normal Probabilities", in J. of Computational and Graphical Stat., 1(1992), pp. 141-149, by Alan Genz, WSU ...