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Electronic Theses & Dissertations
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Semi=supervised learning with side information : graph-based approaches
Liu, Yi
Text (2007)
Part of
Electronic Theses & Dissertations
TOWARD PRIVATE, SECURE, AND ROBUST AI-ENABLED VOICE SERVICES
Guo, Hanqing
Text (2024)
Part of
Electronic Theses & Dissertations
Structure and Motion from Depth and Correspondence Models
Zhu, Shengjie
Text (2025)
Part of
Electronic Theses & Dissertations
I AM DOING MORE THAN CODING : A QUALITATIVE STUDY OF BLACK WOMEN HBCU UNDERGRADUATES’ PERSISTENCE IN COMPUTING
Benton, Amber V.
Text (2020)
Part of
Electronic Theses & Dissertations
TOWARD RELIABLE AND SCALABLE LONG RANGE NETWORKING FOR RURAL IOT
Ren, Yidong
Text (2025)
Part of
Electronic Theses & Dissertations
New perspectives in neural architecture search : architecture embeddings, efficient performance estimations, and their applications
Yan, Shen (Graduate of Michigan State University)
Text (2022)
Part of
Electronic Theses & Dissertations
Network biology powered by graph deep learning : Understanding the molecular basis of human genetics
Liu, Renming
Text (2024)
Part of
Electronic Theses & Dissertations
Learning from Imbalanced Data Distribution
Wang, Wentao
Text (2023)
Part of
Electronic Theses & Dissertations
IMPROVING THE FIDELITY AND USABILITY OF MOLECULAR MODELS THROUGH HYBRIDIZATION AND MACHINE LEARNING TECHNIQUES
kaymak, mehmet cagri
Text (2023)
Part of
Electronic Theses & Dissertations
Conceptualizing Social Harms Arising from Bias and Discrimination in Natural Language Processing : Race, Gender & Language
Dacon, Jamell
Text (2023)
Part of
Electronic Theses & Dissertations
APPLICATION OF MACHINE LEARNING IN PACKAGING DYNAMICS AND DISTRIBUTION : CASE STUDIES ON PREDICTING DAMAGE FROM BUCKLING IN CORRUGATED PAPERBOARD STRUCTURES TO BRUISING IN TRANSPORTED PACKED APPLE FRUIT
Shirzad, Khadijeh
Text (2024)
Part of
Electronic Theses & Dissertations
A Novel Framework and Design Methodologies for Optimal Animation Production using Deep Learning
yu, zixiao
Text (2023)
Part of
Electronic Theses & Dissertations
HIGH RECALL DEEP LEARNING METHODS FOR PEDIATRIC RIB FRACTURE DETECTION
Burkow, Jonathan
Text (2024)
Part of
Electronic Theses & Dissertations
Enhancing Infrastructure and Dynamic Systems Modeling Through the Synergy of Physics-based Models and Machine Learning
Li, Xuyang
Text (2024)
Part of
Electronic Theses & Dissertations
Advanced Operators for Graph Neural Networks
Ma, Yao
Text (2021)
Part of
Electronic Theses & Dissertations
Towards Graph Foundation Model : From Network Science Theory to Practice Application
Mao, Haitao
Text (2025)
Part of
Electronic Theses & Dissertations
Efficient transfer learning for heterogeneous machine learning domains
Zhu, Zhuangdi
Text (2022)
Part of
Electronic Theses & Dissertations
Computational frameworks for indel-aware evolutionary analysis using large-scale genomic sequence data
Wang, Wei (Research scientist)
Text (2021)
Part of
Electronic Theses & Dissertations
Beyond benchmarks suites : engineering diagnostic tools to characterize selection schemes
Hernandez, Jose Guadalupe
Text (2023)
Part of
Electronic Theses & Dissertations
VERIFICATION OF PROBABILISTIC HYPERPROPERTIES ON MARKOV MODELS
Dobe, Oyendrila
Text (2024)
Part of
Electronic Theses & Dissertations
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