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Graph-based Fusion Modeling and Explanation for Disease Trajectory Prediction.

A. Tariq, S. Tang, H. Sakhi, L. Celi, J. Newsome, D. Rubin, H. Trivedi, J. Gichoya, B. Patel, and I. Banerjee. AMIA, AMIA, (2022)

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Siyi Feng

Tang Tang

Junhua Tang

Fei Tang

Jian Tang

Other publications of authors with the same name

Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure Analysis.S. Tang, J. Dunnmon, K. Saab, X. Zhang, Q. Huang, F. Dubost, D. Rubin, and C. Lee-Messer. ICLR, OpenReview.net, (2022)Tracking the Evolution of COVID-19 via Temporal Comorbidity Analysis from Multi-Modal Data.S. Choudhury, K. Agarwal, C. Ham, P. Mukherjee, S. Tang, S. Tipirneni, V. Kocaman, S. Tamang, R. Rallo, and C. Reddy. AMIA, AMIA, (2021)Spatiotemporal Feature Learning for Event-Based Vision.R. Ghosh, A. Gupta, S. Tang, A. Soares, and N. Thakor. CoRR, (2019)Modeling Multivariate Biosignals With Graph Neural Networks and Structured State Space Models.S. Tang, J. Dunnmon, L. Qu, K. Saab, T. Baykaner, C. Lee-Messer, and D. Rubin. CHIL, volume 209 of Proceedings of Machine Learning Research, page 50-71. PMLR, (2023)Pose-Invariant Object Recognition for Event-Based Vision with Slow-ELM.R. Ghosh, S. Tang, M. Rasouli, N. Thakor, and S. Kukreja. ICANN (2), volume 9887 of Lecture Notes in Computer Science, page 455-462. Springer, (2016)Let's Hope it Works! Inaccurate Supervision of Neural Networks with Incorrect Labels: Application to Epilepsy.F. Dubost, E. Hong, D. Fu, N. Bhaskhar, S. Tang, K. Saab, D. Rubin, J. Dunnmon, and C. Lee-Messer. CoRR, (2020)Semi-Supervised Learning for Sparsely-Labeled Sequential Data: Application to Healthcare Video Processing.F. Dubost, E. Hong, S. Tang, N. Bhaskhar, C. Lee-Messer, and D. Rubin. WACV, page 1890-1899. IEEE, (2023)Graph-Based Fusion of Imaging and Non-Imaging Data for Disease Trajectory Prediction.A. Tariq, S. Tang, H. Sakhi, L. Celi, J. Newsome, D. Rubin, H. Trivedi, J. Gichoya, B. Patel, and I. Banerjee. NER, page 1-4. IEEE, (2023)Graph-based Fusion Modeling and Explanation for Disease Trajectory Prediction.A. Tariq, S. Tang, H. Sakhi, L. Celi, J. Newsome, D. Rubin, H. Trivedi, J. Gichoya, B. Patel, and I. Banerjee. AMIA, AMIA, (2022)Pose-Invariant Object Recognition for Event-Based Vision with Slow-ELM.R. Ghosh, S. Tang, M. Rasouli, N. Thakor, and S. Kukreja. CoRR, (2019)

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Disambiguation of "Tang, Siyi"

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Graph-based Fusion Modeling and Explanation for Disease Trajectory Prediction.

Please choose a person to relate this publication to

Siyi Feng

Tang Tang

Junhua Tang

Fei Tang

Jian Tang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Tang, Siyi"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Graph-based Fusion Modeling and Explanation for Disease Trajectory Prediction.

Please choose a person to relate this publication to

Siyi Feng

Tang Tang

Junhua Tang

Fei Tang

Jian Tang

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Graph-based Fusion Modeling and Explanation for Disease Trajectory Prediction.