Short-term time series forecasting is pivotal in various scientific and industrial fields. Recent advancements in deep learning-based technologies have significantly improved the efficiency and ...

The first eight episodes were truly exceptional, making it seem like my all-time favourite series. The show expertly explores multiple dimensions - emotional, philosophical, and futuristic ...

Haliburton played through it for most of his 34 minutes, but failed to make a field goal in the game and Indiana lost to Oklahoma City 120-109 — falling behind 3-2 in the title series.

tsam is a python package which uses different machine learning algorithms for the aggregation of time series. The data aggregation can be performed in two freely combinable dimensions: By representing ...

This article aims to address the problem of time-series forecasting. Current state-of-the-art forecasting models lack the ability to mine the spatiotemporal dependence. How to mine more useable ...

The problem of time series segmentation (TSS) is to find a meaningful segmentation of a time series (TS) that captures a data-generating process with distinct states and transitions. We consider a ...