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Constructing Weighted Networks of Earthquakes with Multiple-parent Nodes Based on Correlation-Metric.

, , , and . COMPLEX NETWORKS, volume 1015 of Studies in Computational Intelligence, page 487-498. Springer, (2021)

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Several Hundred Finite Element Analyses of an Inversion of Earthquake Fault Slip Distribution using a High-fidelity Model of the Crustal Structure., , , , , and . ICCS, volume 29 of Procedia Computer Science, page 877-887. Elsevier, (2014)Parallel simulation system for earthquake generation: fault analysis modules and parallel coupling analysis., , , , , , , , and . Concurr. Comput. Pract. Exp., 14 (6-7): 499-519 (2002)Constructing Weighted Networks of Earthquakes with Multiple-parent Nodes Based on Correlation-Metric., , , and . COMPLEX NETWORKS, volume 1015 of Studies in Computational Intelligence, page 487-498. Springer, (2021)Centrality measure and visualization technique for multiple-parent nodes of earthquakes based on correlation-metric., , , and . Appl. Netw. Sci., 8 (1): 14 (December 2023)Fast Computation of Quasi-Dynamic Earthquake Cycle Simulation with Hierarchical Matrices., , , , , , and . ICCS, volume 4 of Procedia Computer Science, page 1456-1465. Elsevier, (2011)Robust and portable capacity computing method for many finite element analyses of a high-fidelity crustal structure model aimed for coseismic slip estimation., , , , , and . Comput. Geosci., (2016)Adaptive truncated residual regression for fine-grained regression problems., , , and . ACML, volume 101 of Proceedings of Machine Learning Research, page 868-882. PMLR, (2019)Numerical Verification Criteria for Coseismic and Postseismic Crustal Deformation Analysis with Large-scale High-fidelity Model., , , , , , and . ICCS, volume 51 of Procedia Computer Science, page 1534-1544. Elsevier, (2015)Improvement of Hierarchical Matrices with Adaptive Cross Approximation for Large-scale Simulation., , , and . J. Inf. Process., 23 (3): 366-372 (2015)Magnitude-Weighted Mean-Shift Clustering with Leave-One-Out Bandwidth Estimation., , , and . PRICAI (1), volume 13031 of Lecture Notes in Computer Science, page 347-358. Springer, (2021)