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Developing Personalized Models of Blood Pressure Estimation from Wearable Sensors Data Using Minimally-trained Domain Adversarial Neural Networks.

L. Zhang, N. Hurley, B. Ibrahim, E. Spatz, H. Krumholz, R. Jafari, and B. Mortazavi. MLHC, volume 126 of Proceedings of Machine Learning Research, page 97-120. PMLR, (2020)

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Lida Zhang

Kristina Lidayova

Lida Mademli

Lida Froriep

Lida Mengden

Other publications of authors with the same name

Layer Flexible Adaptive Computational Time for Recurrent Neural Networks.L. Zhang, and D. Klabjan. CoRR, (2018)DynEHR: Dynamic adaptation of models with data heterogeneity in electronic health records.L. Zhang, X. Chen, T. Chen, Z. Wang, and B. Mortazavi. BHI, page 1-4. IEEE, (2021)Developing Personalized Models of Blood Pressure Estimation from Wearable Sensors Data Using Minimally-trained Domain Adversarial Neural Networks.L. Zhang, N. Hurley, B. Ibrahim, E. Spatz, H. Krumholz, R. Jafari, and B. Mortazavi. MLHC, volume 126 of Proceedings of Machine Learning Research, page 97-120. PMLR, (2020)Prediction of protein structural class with Rough Sets.Y. Cao, S. Liu, L. Zhang, J. Qin, J. Wang, and K. Tang. BMC Bioinform., (2006)Photon-photon interactions in Rydberg-atom arrays.L. Zhang, V. Walther, K. Mølmer, and T. Pohl. Quantum, (2022)Keyword-based Topic Modeling and Keyword Selection.X. Wang, L. Zhang, and D. Klabjan. IEEE BigData, page 1148-1154. IEEE, (2021)Joint Embedding of Food Photographs and Blood Glucose for Improved Calorie Estimation.L. Zhang, S. Huang, A. Das, E. Do, N. Glantz, W. Bevier, R. Santiago, D. Kerr, R. Gutierrez-Osuna, and B. Mortazavi. BHI, page 1-4. IEEE, (2023)PRAP: Pan Resistome analysis pipeline.Y. He, X. Zhou, Z. Chen, X. Deng, A. Gehring, H. Ou, L. Zhang, and X. Shi. BMC Bioinform., 21 (1): 20 (2020)micro-Stress EMA: A Passive Sensing Framework for Detecting in-the-wild Stress in Pregnant Mothers.Z. King, J. Moskowitz, B. Egilmez, S. Zhang, L. Zhang, M. Bass, J. Rogers, R. Ghaffari, L. Wakschlag, and N. Alshurafa. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 3 (3): 91:1-91:22 (2019)Clinical Risk Prediction Models with Meta-Learning Prototypes of Patient Heterogeneity.L. Zhang, R. Khera, and B. Mortazavi. EMBC, page 1-4. IEEE, (2023)

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Disambiguation of "Zhang, Lida"

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Developing Personalized Models of Blood Pressure Estimation from Wearable Sensors Data Using Minimally-trained Domain Adversarial Neural Networks.

Please choose a person to relate this publication to

Lida Zhang

Kristina Lidayova

Lida Mademli

Lida Froriep

Lida Mengden

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Zhang, Lida"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Developing Personalized Models of Blood Pressure Estimation from Wearable Sensors Data Using Minimally-trained Domain Adversarial Neural Networks.

Please choose a person to relate this publication to

Lida Zhang

Kristina Lidayova

Lida Mademli

Lida Froriep

Lida Mengden

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
Harvard
MSOffice XML

Developing Personalized Models of Blood Pressure Estimation from Wearable Sensors Data Using Minimally-trained Domain Adversarial Neural Networks.