EurekAlert!11 天
An approach for learning robustly from time series data with noisy label
In the research, they analyze the two challenges of learning from time series data with noisy labels: (a) Label noise in time ...
Nature6 天
Bayesian Analysis of Time Series Data
One notable development is the AdaptSPEC-X method, which enhances the analysis of multiple nonstationary time series by using a covariate-dependent infinite mixture model. This approach allows for ...
EurekAlert!15 天
ISM: Intra-class similarity mixing for time series augmentation
This paper aims to improve the feature diversity of training samples while expanding the data scale by mixing the locally similar regions in the two intra-class time series, improving the ...
Ärzteblatt4 个月
Interrupted time series for assessing the causality of intervention effects
7. Turner SL, Karahalios A, Forbes AB, et al.: Design characteristics and statistical methods used in interrupted time series studies evaluating public health interventions: a review. J Clin Epide ...