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Electronic Theses & Dissertations
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Adaptive on-device deep learning systems
Fang, Biyi
Text (2019)
Part of
Electronic Theses & Dissertations
Towards machine learning based source identification of encrypted video traffic
Shi, Yan (Of Michigan State University)
Text (2019)
Part of
Electronic Theses & Dissertations
Multi-task learning and its application to geospatio-temporal data
Xu, Jianpeng
Text (2017)
Part of
Electronic Theses & Dissertations
Collaborative learning : theory, algorithms, and applications
Lin, Kaixiang
Text (2020)
Part of
Electronic Theses & Dissertations
Learning paradigms for the identification of elastic properties of composites using ultrasonic guided waves
Gopalakrishnan, Karthik
Text (2020)
Part of
Electronic Theses & Dissertations
A systematic evaluation of computational models of phonotactics
Sarver, Isaac
Text (2020)
Part of
Electronic Theses & Dissertations
An automated 3D pose estimation system for sow health monitoring
Yik, Steven
Text (2020)
Part of
Electronic Theses & Dissertations
The evolution of neural plasticity in digital organisms
Sheneman, Leigh
Text (2017)
Part of
Electronic Theses & Dissertations
Integration of topological fingerprints and machine learning for the prediction of chemical mutagenicity
Cao, Yin (Quantitative analyst)
Text (2017)
Part of
Electronic Theses & Dissertations
Smartphone-based sensing systems for data-intensive applications
Moazzami, Mohammad-Mahdi
Text (2017)
Part of
Electronic Theses & Dissertations
Robust multi-task learning algorithms for predictive modeling of spatial and temporal data
Liu, Xi (Graduate of Michigan State University)
Text (2019)
Part of
Electronic Theses & Dissertations
Data interpretation frameworks employing machine learning for energy-lean data-driven structural health monitoring with novel self-powered sensing technology
Salehi, Hadi
Text (2019)
Part of
Electronic Theses & Dissertations
Contributions to machine learning in biomedical informatics
Baytas, Inci Meliha
Text (2019)
Part of
Electronic Theses & Dissertations
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