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Computational annotations of cell type specific transcription factors binding and long-range enhancer-gene interactions
Qi, Wenjie (Graduate of Michigan State University)
Text (2022)
Part of
Electronic Theses & Dissertations
Engineering scalable digital models to study major transitions in evolution
Moreno, Matthew Andres
Text (2022)
Part of
Electronic Theses & Dissertations
Invariant representation learning via functions in reproducing kernel hilbert spaces
Sadeghi, Bashir
Text (2023)
Part of
Electronic Theses & Dissertations
Toward Secure and Dependable Mobile Networks
Xie, Tian
Text (2023)
Part of
Electronic Theses & Dissertations
DATA-CENTRIC PRIVACY-PRESERVING MACHINE LEARNING
Hong, Junyuan
Text (2023)
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
Harnessing the complexity of natural evolution to enhance evolutionary algorithms
Ragusa, Vincent Romeo
Text (2023)
Part of
Electronic Theses & Dissertations
Addressing security, scalability, and usability challenges of blockchain integration with the smart world
Ivanov, Nikolay
Text (2023)
Part of
Electronic Theses & Dissertations
Sparsity in the spectrum : sparse fourier transforms and spectral methods for functions of many dimensions
Gross, Craig
Text (2023)
Part of
Electronic Theses & Dissertations
Out-of-distribution generalization in graph neural networks : problems, methods and applications
Wang, Yiqi, 1995-
Text (2022)
Part of
Electronic Theses & Dissertations
Depression detection in social media via differential text embedding
Alfadhli, Norah
Text (2022)
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
Graph mutation, graph distance, and graph gradient
Khalifeh, Mohammad Hosein
Text (2023)
Part of
Electronic Theses & Dissertations
Empowering Graph Neural Networks from a Data-Centric View
Jin, Wei
Text (2023)
Part of
Electronic Theses & Dissertations
Geometry-aided 3D image processing
Zhang, Ze
Text (2023)
Part of
Electronic Theses & Dissertations
Federated Learning Benchmarks and Frameworks for Artificial Intelligence of Things
Alam, Samiul
Text (2023)
Part of
Electronic Theses & Dissertations
Deep Multi-agent Reinforcement Learning for Efficient and Scalable Networked System Control
Chen, Dong
Text (2023)
Part of
Electronic Theses & Dissertations
Extracting structure and function from complex systems using information-theoretic tools
G., Nitash C.
Text (2022)
Part of
Electronic Theses & Dissertations
An interactive knowledge-driven multi-objective optimization framework for achieving faster convergence
Ghosh, Abhiroop
Text (2022)
Part of
Electronic Theses & Dissertations
Online Learning Algorithms for Mining Trajectory data and their Applications
Wang, Ding
Text (2021)
Part of
Electronic Theses & Dissertations
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