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Author | Title | Subject | Date | Publication Type |
1 |
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Cate, Nolan Randolph | A fully convolutional deep learning approach for using C-Band satellite radar imagery for forest biomass estimation | Geography; Computer science; Biomass; Deep learning; Forestry; Machine learning; Neural networks; SAR | 2019 | thesis |
2 |
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Winer, David R. | Automated film direction for computer-generated discourse: planning, scheduling, and execution | | 2019 | dissertation |
3 |
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Ying, Jian | Corrected moran's I statistic | | 2019 | thesis |
4 |
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Cho, Junguk | Designing performant, flexible and evolvable | | 2019 | dissertation |
5 |
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Goparaju, Venkata Seaha Sai Anupama | Evaluation and validation of off-the-shelf statistical shape modeling tools in clinical applications | | 2019 | thesis |
6 |
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Quinn, Stephen Lorenzo | Improved context awareness in data-centric network management | | 2019 | dissertation |
7 |
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He, Shaobo | Improving automation and scalability of rigorous program reasoning | | 2019 | dissertation |
8 |
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Peterson, Bradley | Portable and performant GPU/heterogeneous asynchronous many-task runtime system | | 2019 | dissertation |
9 |
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Tang, Pingfan | Robust estimation and sketching of points, lines, trajectories, and other shapes | | 2019 | dissertation |
10 |
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Draut, Benjamin Richard | Sweetpea: toward uniform sampling for experimental design | | 2019 | thesis |
11 |
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Liang, Yulong | Topological data analysis for astronomical data cubes | | 2019 | dissertation |
12 |
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Maljovec, Daniel Patrick | Topological models for safety analysis | | 2019 | dissertation |
13 |
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Pan, Xingyuan | Understanding constraints in structured prediction problems | | 2019 | dissertation |