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THPs: Topological Hawkes Processes for Learning Causal Structure on Event Sequences., , , , , and . IEEE Trans. Neural Networks Learn. Syst., 35 (1): 479-493 (January 2024)Blockchain-based anomaly detection of electricity consumption in smart grids., , , , and . Pattern Recognit. Lett., (2020)Learning by Doing: An Online Causal Reinforcement Learning Framework with Causal-Aware Policy., , , , , , , , and . CoRR, (2024)An Influence-based Approach for Root Cause Alarm Discovery in Telecom Networks., , , , and . CoRR, (2021)gCastle: A Python Toolbox for Causal Discovery., , , , , , and . CoRR, (2021)Time Series Domain Adaptation via Sparse Associative Structure Alignment., , , , , , , , and . CoRR, (2020)Time-Series Domain Adaptation via Sparse Associative Structure Alignment: Learning Invariance and Variance., , , , , , and . CoRR, (2022)Structural Hawkes Processes for Learning Causal Structure from Discrete-Time Event Sequences., , , , , and . IJCAI, page 5702-5710. ijcai.org, (2023)An Improvement of PAA on Trend-Based Approximation for Time Series., , , , , , and . CoRR, (2019)Hierarchical Topological Ordering with Conditional Independence Test for Limited Time Series., , , , and . CoRR, (2023)