Time Series Analysis


Time series analysis comprises statistical methods for analyzing a sequence of data points collected over an interval of time to identify interesting patterns and trends.

Interpretable Transformation and Analysis of Timelines through Learning via Surprisability

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Mar 06, 2025
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A Novel Multi-Task Teacher-Student Architecture with Self-Supervised Pretraining for 48-Hour Vasoactive-Inotropic Trend Analysis in Sepsis Mortality Prediction

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Feb 24, 2025
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Enhancing Time Series Forecasting via Logic-Inspired Regularization

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Mar 10, 2025
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Active operator learning with predictive uncertainty quantification for partial differential equations

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Mar 05, 2025
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Machine-learning for photoplethysmography analysis: Benchmarking feature, image, and signal-based approaches

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Feb 27, 2025
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Automatic Temporal Segmentation for Post-Stroke Rehabilitation: A Keypoint Detection and Temporal Segmentation Approach for Small Datasets

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Feb 27, 2025
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Rumor Detection by Multi-task Suffix Learning based on Time-series Dual Sentiments

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Feb 20, 2025
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TabulaTime: A Novel Multimodal Deep Learning Framework for Advancing Acute Coronary Syndrome Prediction through Environmental and Clinical Data Integration

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Feb 24, 2025
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TimeDistill: Efficient Long-Term Time Series Forecasting with MLP via Cross-Architecture Distillation

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Feb 20, 2025
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Explaining the Success of Nearest Neighbor Methods in Prediction

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Feb 21, 2025
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