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Electronic Theses & Dissertations
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Topological data analysis and machine learning framework for studying time series and image data
Yesilli, Melih Can
Text (2022)
Part of
Electronic Theses & Dissertations
Real-time human/group interaction monitoring platform integrating sensor fusion and machine learning approaches
Davila-Montero, Sylmarie
Text (2022)
Part of
Electronic Theses & Dissertations
Smartphone-based sensing systems for data-intensive applications
Moazzami, Mohammad-Mahdi
Text (2017)
Part of
Electronic Theses & Dissertations
Machines, analysts, and financial markets
Wang, Xinyu (Graduate of Michigan State University)
Text (2021)
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
Image annotation and tag completion via kernel metric learning and noisy matrix recovery
Feng, Zheyun
Text (2016)
Part of
Electronic Theses & Dissertations
Machine learning on drug discovery : algorithms and applications
Sun, Mengying (Graduate of Michigan State University)
Text (2022)
Part of
Electronic Theses & Dissertations
The evolution of neural plasticity in digital organisms
Sheneman, Leigh
Text (2017)
Part of
Electronic Theses & Dissertations
Signal processing and machine learning approaches to enabling advanced sensing and networking capabilities in everyday infrastructure and electronics
Ali, Kamran (Scientist)
Text (2020)
Part of
Electronic Theses & Dissertations
Online innovization : towards knowledge discovery and achieving faster convergence in multi-objective optimization
Gaur, Abhinav
Text (2020)
Part of
Electronic Theses & Dissertations
Developmental learning with applications to attention, task transfer and user presence detection
Huang, Xiao
Text (2005)
Part of
Electronic Theses & Dissertations
Development and assessment of predictive models for improved swine farming
Han, Junjie, 1993-
Text (2022)
Part of
Electronic Theses & Dissertations
Machine learning for the study of gene regulation and complex traits
Sonnenschein, Anne
Text (2017)
Part of
Electronic Theses & Dissertations
Autonomous mental development in high dimensional and continuous state and action spaces and its application in autonomous learning of speech
Joshi, Ameet Vijay
Text (2003)
Part of
Electronic Theses & Dissertations
Multi-task learning and its application to geospatio-temporal data
Xu, Jianpeng
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
Defining the characteristics and roles of functional genomic sequences using computational approaches
Lloyd, John P.
Text (2017)
Part of
Electronic Theses & Dissertations
Hierarchical learning for large multi-class classification in network data
Liu, Lei
Text (2015)
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
Use of accelerometry and machine learning to measure free-living physical activity and sedentary behavior
Montoye, Alexander Henry
Text (2014)
Part of
Electronic Theses & Dissertations
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