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Time series extrinsic regression: Predicting numeric values from time series data

, , , and . Data Mining and Knowledge Discovery, (2021)

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Smooth Perturbations for Time Series Adversarial Attacks., , , , , , , , , and . PAKDD (1), volume 13280 of Lecture Notes in Computer Science, page 485-496. Springer, (2022)Dependency Learning Graph Neural Network for Multivariate Forecasting., , , and . ICONIP (5), volume 1516 of Communications in Computer and Information Science, page 114-123. Springer, (2021)A note on the validity of cross-validation for evaluating autoregressive time series prediction., , and . Comput. Stat. Data Anal., (2018)On the usefulness of cross-validation for directional forecast evaluation., , and . Comput. Stat. Data Anal., (2014)A Strong Baseline for Weekly Time Series Forecasting., , , and . CoRR, (2020)A Generative Deep Learning Framework Across Time Series to Optimize the Energy Consumption of Air Conditioning Systems., , , and . IEEE Access, (2022)Pruning vs XNOR-Net: A Comprehensive Study of Deep Learning for Audio Classification on Edge-Devices., , and . IEEE Access, (2022)Self-labeling techniques for semi-supervised time series classification: an empirical study., , , , and . Knowl. Inf. Syst., 55 (2): 493-528 (2018)SETAR-Tree: A Novel and Accurate Tree Algorithm for Global Time Series Forecasting., , , and . CoRR, (2022)Forecasting Across Time Series Databases using Long Short-Term Memory Networks on Groups of Similar Series., , and . CoRR, (2017)