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TSC-AutoML: Meta-learning for Automatic Time Series Classification Algorithm Selection.

, , , , , , and . ICDE, page 1032-1044. IEEE, (2023)

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DCLP: Neural Architecture Predictor with Curriculum Contrastive Learning., , and . AAAI, page 17051-17059. AAAI Press, (2024)DCLP: Neural Architecture Predictor with Curriculum Contrastive Learning., , and . CoRR, (2023)Industrial time series determinative anomaly detection based on constraint hypergraph., , , and . Knowl. Based Syst., (2021)An Image Fusion Method Based on Weighted Nonnegative Matrix Factorization and Infrared Fidelity., , , , and . ICAIP, page 102-106. ACM, (2020)Auto-CASH: A meta-learning embedding approach for autonomous classification algorithm selection., , , , and . Inf. Sci., (2022)Auto-Model: Utilizing Research Papers and HPO Techniques to Deal with the CASH problem., , , , and . ICDE, page 1906-1909. IEEE, (2020)ShrinkHPO: Towards Explainable Parallel Hyperparameter Optimization., , , and . ICDE, page 4897-4910. IEEE, (2024)TSC-AutoML: Meta-learning for Automatic Time Series Classification Algorithm Selection., , , , , , and . ICDE, page 1032-1044. IEEE, (2023)Auto-CASH: Autonomous Classification Algorithm Selection with Deep Q-Network., , , and . CoRR, (2020)Explainable Database Management System Configuration Tuning through Counterfactuals., , , , and . ICDE, page 124-137. IEEE, (2024)