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.

TSI: A Multi-View Representation Learning Approach for Time Series Forecasting

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Sep 30, 2024
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Compressing Recurrent Neural Networks for FPGA-accelerated Implementation in Fluorescence Lifetime Imaging

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Oct 01, 2024
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An Introduction to Deep Survival Analysis Models for Predicting Time-to-Event Outcomes

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Oct 01, 2024
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From News to Forecast: Integrating Event Analysis in LLM-Based Time Series Forecasting with Reflection

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Sep 26, 2024
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Brain-JEPA: Brain Dynamics Foundation Model with Gradient Positioning and Spatiotemporal Masking

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Sep 28, 2024
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Machine Learning-based vs Deep Learning-based Anomaly Detection in Multivariate Time Series for Spacecraft Attitude Sensors

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Sep 26, 2024
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SEN12-WATER: A New Dataset for Hydrological Applications and its Benchmarking

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Sep 25, 2024
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On the Power of Decision Trees in Auto-Regressive Language Modeling

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Sep 27, 2024
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Enriched Functional Tree-Based Classifiers: A Novel Approach Leveraging Derivatives and Geometric Features

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Sep 26, 2024
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HSTFL: A Heterogeneous Federated Learning Framework for Misaligned Spatiotemporal Forecasting

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Sep 27, 2024
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