Adapting to the Stream: An Instance-Attention GNN Method for Irregular Multivariate Time Series Data
DynIMTS replaces static graphs with instance-attention that updates edge weights on the fly, delivering SOTA imputation and P12 classification ...
Discover how multivariate models use multiple variables for investment forecasting, risk analysis, and decision-making in finance. Ideal for portfolio management.
The GC–MS dataset was integrated with the sensory data using a series of exploratory and predictive multivariate statistical ...
Professor Klaus Nordhausen develops modern multivariate statistical methods to analyze high-dimensional and large datasets in different fields.
Even if unusual recent global warmth can be mostly attributed to a combination of El Niño, falling SO2 emissions, the Hunga ...
It then shakes the claim otherwise made in IMF programmes that social spending will be protected, given the IMF programme ...
Background The relationship of social determinants of health (SDOH), environmental exposures and medical history to lung function trajectories is underexplored. A better understanding of these ...
In the AXSANA/EUBREAST 3(R) study, researchers compared data about recurrence outcomes of more-invasive and less-invasive lymph node procedures.
Patients with primary hyperparathyroidism are at risk for long-term cardiometabolic complications, which may be partially mitigated by parathyroidectomy.
Tanning bed usage was associated with an increased risk of melanoma, at an odds ratio of 2.85, while further analysis revealed a dose–response relationship between the number of tanning bed exposures ...
Impact of abdominal obesity on frailty development: A web-based survey using a smartphone health app
An Osaka Metropolitan University researcher examined whether abdominal obesity predicts frailty progression in 2,962 ...
It then shakes the claim otherwise made in IMF programmes that social spending will be protected, given the IMF programme ...
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