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  • Kelly, Austen (University of Oregon, 2020-02-27)
    Machine learning methods often face a tradeoff between the accuracy of discriminative models and the lower sample complexity of their generative counterparts. This inspires a need for hybrid methods. In this paper we present ...
  • Bergstrom, Trevor (University of Oregon, 2020-12-08)
    Human-object interaction detection is a relatively new task in the world of computer vision and visual semantic information extraction. The goal of human-object interaction detection is to have machines identifying ...
  • Hasan, Rasti (University of Oregon, 2022-10-04)
    In recent years, NLP classification tasks have been reformulated as text generation tasks in the form of text-to-text transformer-based models that achieve state-of-the-art performance by better utilizing pre-trained ...
  • Keith, Daniel (University of Oregon, 2012)
    Dynamic invariant detection is a software analysis technique that uses traces of function entry and exit from executing programs and infers partial specifications that characterize the observed behavior. The specifications ...
  • Ludwig, Jeremy R. (University of Oregon, 2008-12)
    The dynamic scripting reinforcement learning algorithm can be extended to improve the speed, effectiveness, and accessibility of learning in modern computer games without sacrificing computational efficiency. This dissertation ...
  • Feng, Yebo (University of Oregon, 2024-01-09)
    The rapid evolution of malicious activities in network environments necessitates the development of more effective and efficient detection and mitigation techniques. Traditional traffic analysis (TA) approaches have ...
  • Kirkpatrick, Arthur Edward (University of Oregon, 2000)
    Haptic environments are user interfaces incorporating a haptic display device, most commonly a point force device such as the PHANToM. Lederman and Klatzky's Exploratory Procedures work casts doubt on the usability of such ...
  • Wathugala, Wathugala Gamage Dulan Manujinda (University of Oregon, 2017-06)
    Ensuring algorithms work accurately is crucial, especially when they drive safety critical systems like self-driving cars. We formally model a published distributed algorithm for autonomous vehicles to collaborate and ...
  • Dinh, Tien (University of Oregon, 2024-01-09)
    Low Earth Orbit (LEO) satellite networks have gained significant attention in recent years due to their potential to revolutionize global connectivity. SpaceX, Amazon, and Telesat are the most prominent players aiming to ...
  • Chaimov, Nicholas (University of Oregon, 2012)
    Efficient large-scale scientific computing requires efficient code, yet optimizing code to render it efficient simultaneously renders the code less readable, less maintainable, less portable, and requires detailed knowledge ...
  • Wills, Eric David, 1977- (University of Oregon, 2008-03)
    Digital three-dimensional (3D) models are useful for biomechanical analysis because they can be interactively visualized and manipulated. Synthesizing and analyzing animal locomotion with these models, however, is difficult ...
  • Alur, Abhijit (University of Oregon, 2015-01-14)
    DNS (Domain Name System) names contain a wide variety of information, such as geographic location, speed of the interface, type of interface, etc. However, extracting this information is challenging since this information ...
  • Yenpure, Abhishek (University of Oregon, 2023-03-24)
    Exascale computing, i.e., supercomputers that can perform 1018 math operations per second, provide significant opportunity for improving the computational sciences. That said, these machines can be difficult to use ...
  • Liu, Haishan (University of Oregon, 2012)
    Data mining is the nontrivial extraction of implicit, previously unknown, and potentially useful information from data. It is widely acknowledged that the role of domain knowledge in the discovery process is essential. ...
  • Ozog, David (University of Oregon, 2017-09-27)
    The past several decades have witnessed tremendous strides in the capabilities of computational chemistry simulations, driven in large part by the extensive parallelism offered by powerful computer clusters and scalable ...
  • Thomas, Kristine A. (University of Oregon, 2010-06)
    Image processing is a powerful tool for increasing the reliability and reproducibility of disease diagnostics. In the hands of pathologists, image processing provides quantitative data from histological images which ...
  • Brittell, Megen (University of Oregon, 2011-12)
    Graphics provide a rich display medium that facilitates identification of spatial patterns but are inaccessible to people who are blind or low vision. Audio provides an alternative medium through which to display information. ...
  • Guzman Nateras, Luis (University of Oregon, 2024-01-09)
    The widespread adoption of applications powered by Artificial Intelligence (AI) backbones has unquestionably changed the way we interact with the world around us. Applications such as automated personal assistants, automatic ...
  • Kress, James (University of Oregon, 2020-09-24)
    In situ visualization is increasingly necessary to address I/O limitations on supercomputers. With the increasing heterogeneity of supercomputer design, efficient and cost effective use of resources is extremely difficult ...
  • Zhang, Mingwei (University of Oregon, 2020-02-27)
    Distributed denial-of-service (DDoS) attacks continue to threaten the availability and integrity of critical Internet infrastructure upon which the society relies more heavily than ever before. The extremely high volume ...

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