Holidays bring celebration, rest and, for many families, long stretches of indoor time. For some, this means tabletop games ...

This month Genome Research publishes a special issue highlighting novel advances in computational biology. In collaboration ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

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 ...

Abstract: Reliable short-term photovoltaic (PV) power forecasting is of crucial significance for the rational dispatching of power sources and the effective control of operating costs for the power ...

This Research Topic envisions the future of multivariate data analysis in Network Physiology and beyond through the lens of ...

Abstract: In multivariate time series (MTS) analysis, data loss is a critical issue that degrades analytical model performance and impairs downstream tasks such as structural health monitoring (SHM) ...

Robustness to anomalous training data The original GDN assumes a fully normal training set. We test how sensitive the method is when anomalies contaminate the training split. Alternative training loss ...

Comprehensive repository offering official resources, detailed guides, and reference materials for Golden Software Grapher on Windows PCs. Designed to support users with tutorials, tips, and ...