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Structural Hawkes Processes for Learning Causal Structure from Discrete-Time Event Sequences.

, , , , , and . IJCAI, page 5702-5710. ijcai.org, (2023)

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An Influence-based Approach for Root Cause Alarm Discovery in Telecom Networks., , , , and . CoRR, (2021)Time Series Domain Adaptation via Sparse Associative Structure Alignment., , , , , , , , and . CoRR, (2020)Structural Hawkes Processes for Learning Causal Structure from Discrete-Time Event Sequences., , , , , and . IJCAI, page 5702-5710. ijcai.org, (2023)Time Series Domain Adaptation via Sparse Associative Structure Alignment., , , , , , , , and . AAAI, page 6859-6867. AAAI Press, (2021)Generating correlated Nakagami fading signals with arbitrary correlation and fading parameters., , and . ICC, page 1363-1367. IEEE, (2002)An Influence-Based Approach for Root Cause Alarm Discovery in Telecom Networks., , , , and . ICSOC Workshops, volume 12632 of Lecture Notes in Computer Science, page 124-136. Springer, (2020)THP: Topological Hawkes Processes for Learning Granger Causality on Event Sequences., , , , , and . CoRR, (2021)TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences., , , , , , , and . AAAI, page 20491-20499. AAAI Press, (2024)An Improvement of PAA on Trend-Based Approximation for Time Series., , , , , , and . ICA3PP (2), volume 11335 of Lecture Notes in Computer Science, page 248-262. Springer, (2018)PPLDEM: A Fast Anomaly Detection Algorithm with Privacy Preserving., , , , , , and . ICA3PP (4), volume 11337 of Lecture Notes in Computer Science, page 358-373. Springer, (2018)