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  • Understanding and Adapting Tree Ensembles: A Training Data Perspective 
    Brophy, Jonathan (University of Oregon, 2023-03-24)
    Despite the impressive success of deep-learning models on unstructured data (e.g., images, audio, text), tree-based ensembles such as random forests and gradient-boosted trees are hugely popular and remain the preferred ...
  • Understanding and Advancing the Status Quo of DDoS Defense 
    Shi, Lumin (University of Oregon, 2022-05-10)
    Two decades after the first distributed denial-of-service (DDoS) attack, the Internet remains challenged by DDoS attacks as they evolve. Not only is the scale of attacks larger than ever, but they are also harder to detect ...
  • Understanding Perceived Sense of Movement in Static Visuals Using Deep Learning 
    Kale, Shravan (University of Oregon, 2019-01-11)
    This thesis introduces the problem of learning the representation and the classification of the perceived sense of movement, defined as dynamism in static visuals. To solve the said problem, we study the definition, degree, ...
  • Use of ontologies in information extraction 
    Wimalasuriya, Daya Chinthana (University of Oregon, 2011-03)
    Information extraction (IE) aims to recognize and retrieve certain types of information from natural language text. For instance, an information extraction system may extract key geopolitical indicators about countries ...
  • Virtual Environments for Human Centric Research 
    Masud, Md. Raihan (University of Oregon, 2011-06)
    Conducting field studies for human centric research often demands a significant amount of time and effort. Virtual Environments (VE) can be a potential alternative to reduce such requirements and help scale the field ...
  • Wavelet Compression for Visualization and Analysis on High Performance Computers 
    Li, Shaomeng (University of Oregon, 2018-10-31)
    As HPC systems move towards exascale, the discrepancy between computational power and I/O transfer rate is only growing larger. Lossy in situ compression is a promising solution to address this gap, since it alleviates I/O ...
  • When Does a Bit Matter? Techniques for Verifying the Correctness of Assembly Languages and Floating-Point Programs 
    Pollard, Samuel (University of Oregon, 2021-09-13)
    This dissertation is about verifying the correctness of low-level computer programs.This is challenging because low-level programs by definition cannot use many useful abstractions of computer science. Features of high-level ...

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