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.

PYRREGULAR: A Unified Framework for Irregular Time Series, with Classification Benchmarks

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May 09, 2025
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CASA: CNN Autoencoder-based Score Attention for Efficient Multivariate Long-term Time-series Forecasting

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May 04, 2025
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Nearest Neighbor Multivariate Time Series Forecasting

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May 16, 2025
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Reach-Avoid-Stabilize Using Admissible Control Sets

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May 14, 2025
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Attention Mechanisms in Dynamical Systems: A Case Study with Predator-Prey Models

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May 10, 2025
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Prediction of Delirium Risk in Mild Cognitive Impairment Using Time-Series data, Machine Learning and Comorbidity Patterns -- A Retrospective Study

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May 05, 2025
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Quantum Observers: A NISQ Hardware Demonstration of Chaotic State Prediction Using Quantum Echo-state Networks

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May 11, 2025
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Learning from Peers in Reasoning Models

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May 12, 2025
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Decoding Latent Spaces: Assessing the Interpretability of Time Series Foundation Models for Visual Analytics

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Apr 26, 2025
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SMSAT: A Multimodal Acoustic Dataset and Deep Contrastive Learning Framework for Affective and Physiological Modeling of Spiritual Meditation

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May 01, 2025
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