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Filtering by: Creator Osmundson, Todd W. Remove constraint Creator: Osmundson, Todd W. Degree Field Computer Science Remove constraint Degree Field: Computer Science Degree Level Master's Remove constraint Degree Level: Master's

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  • Toward end-user debugging of machine-learned programs

    Creator:
    Kulesza, Todd
    Abstract:
    The results of a machine learning from user behavior can be thought of as a program, and like all programs, it may need to be debugged. Providing ways for the user to debug it matters because without the ability to fix errors, users may find that the learned program’s errors...
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF Todd Kulesza for the degree of Master of Science in Computer Science

  • 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

  • Analytical and visual tools for robot kinematics

    Creator:
    Harris-Coppola, Marcia M.
    Abstract:
    Computer control of a robot arm's motion requires kinematic algorithms for relating the state of a particular arm's joints to the position and orientation of its tool in three-dimensional space. To design such algorithms requires mathematical formulation of the kinematics of the arm. The resulting long, tedious algebraic manipulations suggest...
    Resource Type:
    Masters Thesis
    Full Text:
    of this thesis, and to Dr. Guy W. Cherry, who suggested the idea of applying computer algebra to

  • Gender differences in robot teleoperation

    Creator:
    Showkat, Dilruba
    Abstract:
    Gender issues have recently received increased attention in human robot interaction (HRI). Because robots are becoming part of our homes and daily lives, it is important to understand how different groups of people use them. To the best of our knowledge, almost no research has been done that investigates gender...
    Resource Type:
    Masters Thesis
    Full Text:
    Whitney W = 3, p-value = 0.0185). We qualitatively code education of our participants as follows: Arts

  • Identifying and Removing On-chip Network Bottleneck in Throughput Processors

    Creator:
    Li, Yunfan
    Abstract:
    The high level of parallelism in throughput processors such as GPGPUs has resulted in significantly changed on-chip data traffic behaviors. This demands new research to identify and address the limiting factors of networks-on-chip (NoCs) in the context of throughput processors. In this work, we first quantitatively analyze the performance of...
    Resource Type:
    Masters Thesis
    Full Text:
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  • On feature relevance feedback methods : incorporating labeled user features

    Creator:
    Oberst, Ian
    Abstract:
    In text classification, labeling features is often less time consuming than labeling entire documents. In situations where very little labeled training data is available, feature relevance feedback has the potential to dramatically increase classification performance. We review previous work on incorporating feature relevance feedback in the form of labeled features...
    Resource Type:
    Masters Thesis
    Full Text:
    =1 pΘ(yi|xi) LWLR modifies the likelihood by adding a weight term, w(xq,xi), which is the weight

  • Using RUBI to partition agents in air traffic problems with hard constraints and reward shaping

    Creator:
    Curran, William
    Abstract:
    Air traffic flow management over the U.S. airpsace is a difficult problem. Current management approaches lead to hundreds of thousands of hours of delay, costing billions of dollars annually. Weather and airport conditions may instigate this delay, but routing decisions balancing delay with congestion contribute significantly to the propagation of...
    Resource Type:
    Masters Thesis
    Full Text:
    Bibliography 62 LIST OF FIGURES Figure Page 3.1 Delay and congestion with varying w, the weight on

  • Toward Disentangling the Activations of the Deep Networks via Low-dimensional Embedding and Non-negative Factorization

    Creator:
    Khorram, Saeed
    Abstract:
    In this thesis, we introduce a novel Explanation Neural Network (XNN) to explain the predictions made by a deep network. The XNN works by embedding a high-dimensional activation vector of a deep network layer non-linearly into a low-dimensional explanation space while retaining faithfulness i.e., the original deep learning predictions can...
    Resource Type:
    Masters Thesis
    Full Text:
    = {W, b}, being learnt?” The objective of the classification task is to minimize the loss with respect

  • Deep Segmentation in Plant Phenomics

    Creator:
    Kaur, Damanpreet
    Abstract:
    The abilities of plant biologists to characterize the genetic basis of physiological traits are limited by their abilities to obtain quantitative data representing precise details of trait variation and mainly to collect this data on a high-throughput scale at low cost. Deep learning-based methods have demonstrated unprecedented potential to automate...
    Resource Type:
    Masters Thesis
    Full Text:
    weights w (learned filters) such that Y = f(X, w) maximizes the correct prediction score and minimizes

  • Enhancing intelligent API tutors with information about how APIs are used in practice

    Creator:
    Krishnamoorthy, Vasanth
    Abstract:
    Application Programming Interfaces (APIs) enable software developers to utilize and create functionality that would otherwise take a lot of time and effort to build from scratch. Consequently, an essential part of software engineering training is for students to learn how to use APIs effectively. The existing jTutors system enables an...
    Resource Type:
    Capstone Project