Dynamic Variable Dependency Encoding and Its Application on Change Point Detection

Yoo, Shinjae; Huang, Hao

doi:10.1007/978-3-031-33383-5_27

Dynamic Variable Dependency Encoding and Its Application on Change Point Detection

Conference · 25 May 2023

DOI:https://doi.org/10.1007/978-3-031-33383-5_27· OSTI ID:1968828

Yoo, Shinjae; Huang, Hao

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Research Organization:: Brookhaven National Laboratory (BNL), Upton, NY (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)

DOE Contract Number:: SC0012704

OSTI ID:: 1968828

Report Number(s):: BNL-224167-2023-COPA

Resource Relation:: Conference: The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2023), Osaka, Japan, 5/25/2023 - 5/28/2023

Country of Publication:: United States

Language:: English

References (11)

seq2graph: Discovering Dynamic Non-linear Dependencies from Multivariate Time Series No authors listed 2019 IEEE International Conference on Big Data (Big Data) https://doi.org/10.1109/BigData47090.2019.9006103		December 2019
Sparse inverse covariance estimation with the graphical lasso No authors listed Biostatistics https://doi.org/10.1093/biostatistics/kxm045		December 2007
Bi-directional Causal Graph Learning through Weight-Sharing and Low-Rank Neural Network No authors listed 2019 IEEE International Conference on Data Mining (ICDM) https://doi.org/10.1109/ICDM.2019.00042		November 2019
Imbalanced Time Series Classification for Flight Data Analyzing with Nonlinear Granger Causality Learning No authors listed Proceedings of the 29th ACM International Conference on Information & Knowledge Management https://doi.org/10.1145/3340531.3412710		October 2020
changepoint : An R Package for Changepoint Analysis No authors listed Journal of Statistical Software https://doi.org/10.18637/jss.v058.i03		January 2014
Causal Discovery with Attention-Based Convolutional Neural Networks No authors listed Machine Learning and Knowledge Extraction https://doi.org/10.3390/make1010019		January 2019
Learning and Inferring Motion Patterns using Parametric Segmental Switching Linear Dynamic Systems No authors listed International Journal of Computer Vision https://doi.org/10.1007/s11263-007-0062-z		July 2007
Temporal Pattern Detection in Time-Varying Graphical Models No authors listed 2020 25th International Conference on Pattern Recognition (ICPR) https://doi.org/10.1109/ICPR48806.2021.9413203		January 2021
Latent Variable Time-varying Network Inference No authors listed Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining https://doi.org/10.1145/3219819.3220121		July 2018
Scalable Causal Graph Learning through a Deep Neural Network No authors listed Proceedings of the 28th ACM International Conference on Information and Knowledge Management https://doi.org/10.1145/3357384.3357864		November 2019
Prior knowledge driven Granger causality analysis on gene regulatory network discovery No authors listed BMC Bioinformatics https://doi.org/10.1186/s12859-015-0710-1		August 2015

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