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Machine Learning for Health (ML4H) 2023.

S. Hegselmann, A. Parziale, D. Shanmugam, S. Tang, K. Severson, M. Asiedu, S. Chang, B. Dossou, Q. Huang, F. Kamran, H. Zhang, S. Nagaraj, L. Oala, S. Xu, C. Okolo, H. Zhou, J. Dafflon, C. Ellington, S. Jabbour, H. Jeong, H. Nieva, Y. Yang, G. Zamzmi, V. Mhasawade, V. Truong, P. Chandak, M. Lee, P. Argaw, K. Heuton, H. Singh, and T. Hartvigsen. ML4H@NeurIPS, volume 225 of Proceedings of Machine Learning Research, page 1-12. PMLR, (2023)

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To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Haoran Yang

Zhang Zhang

Meng Zhang

Methods and implementations of road-network matchingM. Zhang. TU München, (2009)

Yue Zhang

Xianghui Zhang

Other publications of authors with the same name

An automatic detailed scheduling method of refined products pipeline.Z. Duan, Y. Liang, Q. Guo, Q. Xiao, H. Zhang, and G. He. ICCA, page 816-823. IEEE, (2016)Statistical Characteristics and Community Analysis of Urban Road Networks.W. Shang, Y. Chen, H. Bi, H. Zhang, C. Ma, and W. Ochieng. Complex., (2020)Pedestrian Trajectory Prediction in Extremely Crowded Scenarios.X. Shi, X. Shao, Z. Guo, G. Wu, H. Zhang, and R. Shibasaki. Sensors, 19 (5): 1223 (2019)A multilevel inverter approach providing DC-link balancing, ride-through enhancement, and common-mode voltage elimination.A. von Jouanne, S. Dai, and H. Zhang. IEEE Trans. Ind. Electron., 49 (4): 739-745 (2002)A MILP model for the detailed scheduling of multiproduct pipelines with the hydraulic constraints rigorously considered.X. Zhou, Y. Liang, X. Zhang, Q. Liao, S. Gao, W. Zhang, and H. Zhang. Comput. Chem. Eng., (2019)Deeppipe: A hybrid model for multi-product pipeline condition recognition based on process and data coupling.C. Wang, J. Zheng, Y. Liang, M. Li, W. Chen, Q. Liao, and H. Zhang. Comput. Chem. Eng., (2022)Scheduling-based method for estimating remaining capacity of oil product pipeline under the fair opening.L. Huang, Q. Liao, R. Tu, Y. Liang, and H. Zhang. Comput. Chem. Eng., (2022)A methodology to restructure a pipeline system for an oilfield in the mid to late stages of development.B. Wang, Y. Liang, J. Zheng, T. Lei, M. Yuan, and H. Zhang. Comput. Chem. Eng., (2018)Wire melted mark metallographic image recognition and classification based on semantic segmentation.W. Shi, H. Zhao, H. Zhang, L. Song, K. Chen, and B. Zhang. Expert Syst. Appl., 238 (Part E): 122146 (March 2024)Optimal design and operation for supply chain system of multi-state natural gas under uncertainties of demand and purchase price.H. Zhang, Y. Liang, Q. Liao, J. Chen, W. Zhang, Y. Long, and C. Qian. Comput. Ind. Eng., (2019)

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Disambiguation of "Zhang, Haoran"

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Machine Learning for Health (ML4H) 2023.

Please choose a person to relate this publication to

Haoran Yang

Zhang Zhang

Meng Zhang

Yue Zhang

Xianghui Zhang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Zhang, Haoran"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Machine Learning for Health (ML4H) 2023.

Please choose a person to relate this publication to

Haoran Yang

Zhang Zhang

Meng Zhang

Yue Zhang

Xianghui Zhang

Other publications of authors with the same name

Disambiguation

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history of this post
URL
DOI
BibTeX
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Chicago
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Machine Learning for Health (ML4H) 2023.