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Dong Wu Xue Yan Jiu = Zoological Research|December 21, 2011
[Genetic mechanism and evolutionary significance of the origin of parthenogenetic insects]Cheng-Ye Wang
Biomedical and Environmental Sciences : BES|April 27, 2007
Report on childhood obesity in China (4) prevalence and trends of overweight and obesity in Chinese urban school-age children and adolescents, 1985-2000Cheng-Ye Ji,
Proceedings of the ... International AAAI Conference on Weblogs and Social Media. International AAAI Conference on Weblogs and Social Media|August 27, 2019
#PrayForDad: Learning the Semantics Behind Why Social Media Users Disclose Health InformationZhijun Yin, You Chen, Daniel Fabbri, et al.
Head & Neck|June 17, 2026
Early Feasibility of Registration of Micro-PET/CT Scans to Annotated 3D Specimen ModelsJoaquin Austerlitz, Andreja Radevic, Ashtyn McAdoo, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|March 10, 2016
Automated Classification of Consumer Health Information Needs in Patient Portal MessagesRobert M Cronin, Daniel Fabbri, Joshua C Denny, et al.
Proceedings of Spie--The International Society for Optical Engineering|March 9, 2026
Deep Learning for Brain Tumor ClassificationJustin S Paul, Andrew J Plassard, Bennett A Landman, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|March 9, 2017
Predicting Negative Events: Using Post-discharge Data to Detect High-Risk PatientsLina Sulieman, Daniel Fabbri, Fei Wang, et al.
Medrxiv : the Preprint Server for Health Sciences|February 14, 2024
Use of Noisy Labels as Weak Learners to Identify Incompletely Ascertainable Outcomes: A Feasibility Study with Opioid-Induced Respiratory DepressionAlvin D Jeffery, Daniel Fabbri, Ruth M Reeves, et al.
Heliyon|March 6, 2024
Use of noisy labels as weak learners to identify incompletely ascertainable outcomes: A Feasibility study with opioid-induced respiratory depressionAlvin D Jeffery, Daniel Fabbri, Ruth M Reeves, et al.
Materials (Basel, Switzerland)|October 14, 2020
Recession of Environmental Barrier Coatings under High-Temperature Water Vapour Conditions: A Theoretical ModelPeng Jiang, Cheng Ye
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