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Task integration for connectome-based prediction via canonical correlation analysis.

, , , и . ISBI, стр. 87-91. IEEE, (2018)

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Siyuan Ma

Zhigang Gao

Gao Guo

Yi Gao

Hailong Gao

 

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Inference of Dynamic Graph Changes for Functional Connectome., , , , и . AISTATS, том 108 из Proceedings of Machine Learning Research, стр. 3230-3240. PMLR, (2020)Large-scale differences in functional organization of left- and right-handed individuals using whole-brain, data-driven analysis of connectivity., , , , , , и . NeuroImage, (2022)Combining Multiple Connectomes via Canonical Correlation Analysis Improves Predictive Models., , , и . MICCAI (3), том 11072 из Lecture Notes in Computer Science, стр. 349-356. Springer, (2018)Task integration for connectome-based prediction via canonical correlation analysis., , , и . ISBI, стр. 87-91. IEEE, (2018)Hydraulic Damping and Swing Assistance Control of A Robotic Electrohydraulic Transfemoral Prosthesis: Preliminary Results., , , , и . ARSO, стр. 365-368. IEEE, (2019)Distributed Sleep Monitoring System with Mobile Terminal., , , и . DSA, стр. 510-517. IEEE, (2022)Research on Heart Rate and Respiration Rate Recognition Algorithm in Multi-Channel Data Acquisition Scenario., , , , , , и . HealthCom, стр. 183-187. IEEE, (2023)TileFlow: A Framework for Modeling Fusion Dataflow via Tree-based Analysis., , , , , , и . MICRO, стр. 1271-1288. ACM, (2023)A Gamma-Poisson Block Model for Community Detection in Directed Network., , и . ICNC-FSKD, стр. 819-824. IEEE, (2018)Poincaré Embedding Reveals Edge-Based Functional Networks of the Brain., , и . MICCAI (7), том 12267 из Lecture Notes in Computer Science, стр. 448-457. Springer, (2020)