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On Forecast Stability., , , , , , and . CoRR, (2023)Forecasting Across Time Series Databases using Long Short-Term Memory Networks on Groups of Similar Series., , and . CoRR, (2017)SETAR-Tree: A Novel and Accurate Tree Algorithm for Global Time Series Forecasting., , , and . CoRR, (2022)Smooth Perturbations for Time Series Adversarial Attacks., , , , , , , , , and . PAKDD (1), volume 13280 of Lecture Notes in Computer Science, page 485-496. Springer, (2022)Segmentation of cervical cell images using mean-shift filtering and morphological operators., , , and . Medical Imaging: Image Processing, volume 7623 of SPIE Proceedings, page 76234C. SPIE, (2010)A Study on the Use of Machine Learning Methods for Incidence Prediction in High-Speed Train Tracks., , , and . IEA/AIE, volume 7906 of Lecture Notes in Computer Science, page 674-683. Springer, (2013)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)On the usefulness of cross-validation for directional forecast evaluation, , and . Computational Statistics & Data Analysis, (August 2014)Seasonal Averaged One-Dependence Estimators: A Novel Algorithm to Address Seasonal Concept Drift in High-Dimensional Stream Classification., , , and . IJCNN, page 1-8. IEEE, (2020)Global Models for Time Series Forecasting: A Simulation Study., , and . CoRR, (2020)