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Filtering by: Creator Or, Dani Remove constraint Creator: Or, Dani Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science

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  • Trip Poll: Plan before you ride

    Creator:
    Baisetti, Rama Krishna
    Abstract:
    People like going on trips with friends and tend to plan their trips well in advance to have the best possible experience of a destination and get the most out of the places they visit and/or the activities they plan to partake in. Right now, the Internet provides a wealth...
    Resource Type:
    Capstone Project
    Full Text:
    the best possible experience of a destination and get the most out of the places they visit and/or

  • A case for application-based linear transformers : applied towards text-to-spectrogram

    Creator:
    Agostinelli, Victor
    Abstract:
    Various natural language processing (NLP) tasks necessitate deep models that are fast, efficient, and small based on their ultimate application at the edge or elsewhere. While significant investigation has furthered the efficiency and reduced the size of these models, reducing their downstream latency without significant trade-offs remains a difficult task....
    Resource Type:
    Masters Thesis
    Full Text:
    fast, efficient, and small based on their ultimate application at the edge or elsewhere. While

  • Fluid flow on interacting, deformable surfaces

    Creator:
    Neill, Patrick
    Abstract:
    Fluid simulation is an interesting research problem with a wide range of applications including mechanical engineering, special effects in movies and games, and scientific simulation. Due to the complex nature of typical fluid flow equations, there are circumstances where a full volumetric fluid simulation may not be necessary to generate...
    Resource Type:
    Masters Thesis
    Full Text:
    . Fluid flow on surfaces, such as in the case of rain-drops or moving rivers, can be solved more

  • Tensor Field Design and Analysis for Applications in Computer Graphics and Scientific Visualization

    Creator:
    Palacios, Jonathan
    Abstract:
    Many applications in computer graphics and geometry processing rely on the ability to locally orient 2D and 3D entities on a surface, or inside a volume, such as the sinusoidal kernels in Gabor noise, the color and geometry textures in pattern synthesis, and the finite elements in remeshing. In these...
    Resource Type:
    Dissertation
    Full Text:
    to locally orient 2D and 3D entities on a surface, or inside a volume, such as the sinusoidal

  • Explanations and Processes to Enable Humans to Assess AI with Respect to Manipulable Properties

    Creator:
    Dodge, Jonathan E.
    Abstract:
    Assessing AI systems is difficult. Humans rely on AI systems in increasing ways, both visible and invisible, meaning a variety of stakeholders need a variety of assessment tools (e.g., a professional auditor, a developer, and an end user all have different needs). We posit that it is possible to provide...
    Resource Type:
    Dissertation
    Full Text:
    (e.g., quality or fairness), as well as articulate justification for their differentiation. Further

  • Learning with Limited Labeled Data in Natural Language Processing

    Creator:
    Obeidat, Rasha
    Abstract:
    The advent of deep learning models leads to a substantial improvement in a wide range of NLP tasks, achieving state-of-art performances without any hand-crafted features. However, training deep models requires a massive amount of labeled data. Labeling new data as a new task or domain emerges consumes time and efforts...
    Resource Type:
    Dissertation
    Full Text:
    requires a massive amount of labeled data. Labeling new data as a new task or do- main emerges consumes

  • Improving User Mental Models of XAI Systems with Inclusive Design Approaches

    Creator:
    Hamid, Md Montaser
    Abstract:
    Explainable Artificial Intelligence (XAI) systems aim to improve users’ understanding of AI but rarely consider the inclusivity aspects of XAI. Without inclusive approaches, improving explanations might not work well for everyone. This study investigates leveraging users’ diverse problem-solving styles as an inclusive strategy to fix an XAI prototype, with the...
    Resource Type:
    Masters Thesis
    Full Text:
    . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22 4.2 Who Used Explanations More? Original or Post-GenderMag Participants . . 24 4.3 Who has a

  • How does AAR/AI Support Problem Solvers with Diverse Behaviors and Cognitive Styles?

    Creator:
    Dikkala, Rupika
    Abstract:
    "What’s wrong with this AI?" Explainable AI (XAI) researchers are moving beyond explaining an AI’s actions, to helping users detect an AI’s failures. However this detection may not be enough—for actionability, we often need to pinpoint which part failed. We investigate how AAR/AI, a structured assessment process, supports users with...
    Resource Type:
    Masters Thesis
    Full Text:
    ]. People’s cognitive problem-solving styles fall along 5 different spectra in the GenderMag method. The or

  • Automatic Classification of Ultrasonic Harbor Porpoise Clicks in a Varying Noise Environment

    Creator:
    De Leon, Daniel
    Abstract:
    This study compares three approaches in the design of an autonomous machine listening agent that predicts harbor porpoise ultrasonic echolocation clicks in diverse noise environments. Considering the temporal variations of noisy coastal ocean soundscapes which the harbor porpoises inhabit, we propose a leave-one-day-out (LODO) cross-validation strategy in the training of...
    Resource Type:
    Masters Thesis
    Full Text:
    DEDICATION I want to dedicate this to my nephews, Dani and Diego. The both of you are my biggest

  • Deep Convolutional Network on Point Clouds for 3D Scene Understanding

    Creator:
    Wu, Wenxuan
    Abstract:
    As one of the most popular data types, the point cloud is widely used in various appli- cations, including computer vision, computer graphics and robotics. The capability to directly measure 3D point clouds is invaluable in those applications as depth information could remove a lot of the segmentation ambiguities in...
    Resource Type:
    Dissertation
    Full Text:
    the ambiguity in 3D point clouds, which are straight lines or plane walls. B is the messy bushes