Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 4 of 4 for “"Sequential Deep Learning"”.
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Gaze-Aware Driver Maneuver Prediction Using Object Detection and Sequential Deep Learning Models for Advanced Driver Assistance Systems
… data, were used to train and evaluate three deep learning architectures: Gated Recurrent Units (GRU), Long Short-Term Memory (LSTM), and the Temporal Convolutional Network (TCN). Results indicate that incorporating gaze-based object detection features slightly increased the time available to …
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A Recurrent Network Approach to G-Computation for Sepsis Outcome Prediction Under Dynamic Treatment Regimes
… and time-varying. Our work builds on a previous sequential deep learning implementation known as G-Net. We evaluate G-Net using synthetic physiological data and show that it outperforms traditional linear regression models in predicting patient trajectories under alternative interventions. We …
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Scalable Models and Policy Learning for Online Marketplaces
… essays on designing scalable models and policy learning methods for online marketplaces. The underlying theme across all chapters is the development of data-driven practical solutions that help improve business operations and customer experiences in e-commerce. The first chapter offers a new …
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Three Empirical Essays in Public Economics
… (first two chapters) and to explore the use of deep learning to construct data useful in public economics and other fields (third chapter). The second and third chapters focus on Nevada. The first essay examines the elasticity response of consumers to the imposition of online sales taxes. The …