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Time series extrinsic regression (TSER) aims at predicting numeric values based on the knowledge of the entire time series. The key to solving the TSER problem is to extract and use the most ...

📊 Regression Project - Time Series Analytics 🚀 Dive into time series data with practical regression implementations. Explore stationarity, decomposition, and modeling using Python tools. Your go-to ...

Abstract: For the regression prediction problem of time series data, we propose a method based on functional principal component analysis and distance covariance weighted Bagging framework. The ...

Dynamic Harmonic Regression (DHR) is a nonstationary time-series analysis approach used to identify trends, seasonal, cyclical and irregular components within a state space framework.

deep-learning time-series tensorflow graphs cnn earthquakes transformer attention gcn xai regression-model Updated on Mar 1, 2023 Python ...