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Electronic Theses & Dissertations
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Face Recognition : Representation, Intrinsic Dimensionality, Capacity, and Demographic Bias
Gong, Sixue
Text (2021)
Part of
Electronic Theses & Dissertations
Online Learning Algorithms for Mining Trajectory data and their Applications
Wang, Ding
Text (2021)
Part of
Electronic Theses & Dissertations
Generative signal processing through multilayer multiscale wavelet models
He, Jieqian
Text (2021)
Part of
Electronic Theses & Dissertations
On the Interaction Between Machine Learning Robustness and Fairness : Problems, Theories and Methods
Xu, Han
Text (2024)
Part of
Electronic Theses & Dissertations
DEEP LEARNING REGULARIZATION : THEORY AND DATA PERSPECTIVES
Zhang, Xitong
Text (2024)
Part of
Electronic Theses & Dissertations
On efficiency and intelligence of next-generation wireless networks
Kheirkhah Sangdeh, Pedram
Text (2023)
Part of
Electronic Theses & Dissertations
Convergence Sans Synchronization
Gupta, Arya Tanmay
Text (2024)
Part of
Electronic Theses & Dissertations
Invariant representation learning via functions in reproducing kernel hilbert spaces
Sadeghi, Bashir
Text (2023)
Part of
Electronic Theses & Dissertations
Graph-based learning for Community Detection and Hub Node Identification
Ortiz Bouza, Meiby
Text (2025)
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
Towards a Robust Unconstrained Face Recognition Pipeline with Deep Neural Networks
Shi, Yichun
Text (2021)
Part of
Electronic Theses & Dissertations
INTERPRETABLE ARTIFICIAL INTELLIGENCE USING NONLINEAR DECISION TREES
Dhebar, Yashesh Deepakkumar
Text (2020)
Part of
Electronic Theses & Dissertations
Generalizing Monocular 3D Object Detection
Kumar, Abhinav
Text (2025)
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
Learning from Imbalanced Data Distribution
Wang, Wentao
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
Advanced Operators for Graph Neural Networks
Ma, Yao
Text (2021)
Part of
Electronic Theses & Dissertations
Achieving reliable distributed systems : through efficient run-time monitoring and predicate detection
Tekken Valapil, Vidhya
Text (2020)
Part of
Electronic Theses & Dissertations
Predictive and Generative Modeling of Time Series Extremes
Galib, Asadullah Hill
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
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