3 days ago · Self-supervised learning (SSL) is a data-driven learning approach that utilizes the innate structure of the data to guide the learning process.
Oct 23, 2024 · FITS especially excels at capturing periodic and seasonal patterns, but struggles with trending, non-periodic, or random-resembling behavior.
Oct 22, 2024 · CARLA: A self-supervised contrastive learning model for time series anomaly detection. Enhances anomaly detection by learning robust representations of time ...
Oct 25, 2024 · We propose a conditional diffusion model designed as a self-supervised learning backbone for such data, integrating a learnable time embedding and a cross- ...
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Nov 7, 2024 · This article provides a comprehensive review of self-supervised learning (SSL) methods for time series data, presenting a new taxonomy from three perspectives: ...
4 days ago · Therefore, we designed a novel self-learning model to classify failures in multivariate time-series.
Nov 8, 2024 · In this paper, we develop TimeCSL, an end-to-end system that makes full use of the general and interpretable shapelets learned by CSL to achieve explorable time ...
14 hours ago · The higher distance indicates better discrimination and better downstream classification performance.
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Nov 4, 2024 · The overall goal is to identify a time series as coming from one of possibly many sources or predefined groups, using labeled training data. That is, in this ...
Nov 8, 2024 · In this study, we introduce an efficient self-supervised contrastive learning framework that enhances the supervisory signal by incorporating positive feature ...