Randomized clinical trials remain the gold standard for establishing a medication's effects, producing the evidence by which ...

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

By modeling the single-trial electroencephalogram of participants performing perceptual decisions, and building on predictions from two century-old psychological laws, we estimate the times of ...

Professor Klaus Nordhausen develops modern multivariate statistical methods to analyze high-dimensional and large datasets in different fields.

Abstract: Recent advancements in food image recognition have underscored its importance in dietary monitoring, which promotes a healthy lifestyle and aids in the prevention of diseases such as ...

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 ...

Students in the School of Social and Behavioral Sciences and those studying forensic psychology may encounter difficulty in their statistics and research methods classes, but the Statistics and ...

ABSTRACT: Domaining is a crucial process in geostatistics, particularly when significant spatial variations are observed within a site, as these variations can significantly affect the outcomes of ...

College of Big Data and Internet, Shenzhen Technology University, Shenzhen, China Foliage plants have strict requirements for their growing environment, and timely and accurate soil temperature ...