Background We investigated the prevalence, temporal trends and associated factors of overweight and obesity among adults in ...
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 ...
Abstract: Deep learning models employing the Transformer architecture have demonstrated exceptional performance in the field of multivariate time series forecasting research. However, these models ...
Forbes contributors publish independent expert analyses and insights. I write about men in tights & the billions they make for men in suits. WWE Survivor Series 2025 emanates from Petco Park in San ...
Abstract: Traditional statistical time series forecasting models rely on model identification methods to identify the worthiest model variants to investigate; therefore, the model parameters change ...
Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting Code ICML 2025 TimeFilter: Patch‑Specific Spatial‑Temporal Graph Filtration for Time Series Forecasting Code ICML 2025 K² ...
The widespread adoption of digital services, along with the scale and complexity at which they operate, has made incidents in IT operations increasingly more likely, diverse, and impactful. This has ...
1 School of Big Data and Software Engineering, Chongqing University, Chongqing, China 2 School of Computer and Information Science, Chongqing Normal University, Chongqing, China Introduction: Time ...
Lucas Kloberdanz-Dyck is a writer for Collider. He grew up creating lists, stories, and worlds, which led to his love of anime and video games. He attended Sheridan College where he earned an Honours ...
Baby Reindeer starts as a darkly amusing, brutally honest account of Richard Gadd’s unexpected encounter with a stranger — an unsettling yet seemingly minor incident. But by the fourth episode, the ...
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