DynIMTS replaces static graphs with instance-attention that updates edge weights on the fly, delivering SOTA imputation and P12 classification ...

Duah: Using puzzles, both at home and in classrooms, can restore the often-forgotten truth that learning happens in ...

Abstract: Recent studies have revealed the significant potential of spatiotemporal graph neural networks for multivariate time series forecasting with missing values. These methods typically represent ...

Introduction The global evidence base on intimate partner violence (IPV) prevalence and risk factors is predominantly cross-sectional, limiting clarity in changes over time. Prospective cohort data ...

Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work ...

Each line segment of a distance-time graph represents one part of a journey. A distance-time graph, sometimes referred to as a travel graph, is a way of representing a journey. It is helpful to have ...

Discover how multivariate models use multiple variables for investment forecasting, risk analysis, and decision-making in finance. Ideal for portfolio management.

TSD 20: Multivariate meta-analysis of summary data for combining treatment effects on correlated outcomes and evaluating surrogate endpoints (PDF, 1.2MB) – October 2019 – Updated December 2022: ...

Function secret sharing (FSS) is a secret sharing technique for functions in a specific function class, mainly including distributed point function (DPF) and distributed comparison function (DCF). As ...

Abstract: This study conducts a comprehensive multivariate analysis of brain function consistency across tasks among children with Attention Deficit Hyperactivity Disorder (ADHD) based on functional ...

Comprehensive repository offering official resources, detailed guides, and reference materials for Golden Software Grapher on Windows PCs. Designed to support users in maximizing software capabilities ...