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AuthorTitleSubjectDatePublication Type
1 Cate, Nolan RandolphA fully convolutional deep learning approach for using C-Band satellite radar imagery for forest biomass estimation2019thesis
2 Winer, David R.Automated film direction for computer-generated discourse: planning, scheduling, and execution2019dissertation
3 Ying, JianCorrected moran's I statistic2019thesis
4 Cho, JungukDesigning performant, flexible and evolvable2019dissertation
5 Goparaju, Venkata Seaha Sai AnupamaEvaluation and validation of off-the-shelf statistical shape modeling tools in clinical applications2019thesis
6 Quinn, Stephen LorenzoImproved context awareness in data-centric network management2019dissertation
7 He, ShaoboImproving automation and scalability of rigorous program reasoning2019dissertation
8 Peterson, BradleyPortable and performant GPU/heterogeneous asynchronous many-task runtime system2019dissertation
9 Tang, PingfanRobust estimation and sketching of points, lines, trajectories, and other shapes2019dissertation
10 Draut, Benjamin RichardSweetpea: toward uniform sampling for experimental design2019thesis
11 Liang, YulongTopological data analysis for astronomical data cubes2019dissertation
12 Maljovec, Daniel PatrickTopological models for safety analysis2019dissertation
13 Pan, XingyuanUnderstanding constraints in structured prediction problems2019dissertation
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