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Filtering by: Creator Bianco, Stephanie R. Remove constraint Creator: Bianco, Stephanie R. Degree Field Computer Science Remove constraint Degree Field: Computer Science

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  • Accuracy versus cost in distributed data mining

    Creator:
    Deutschman, Stephanie
    Abstract:
    A basic tradeoff to consider when designing a distributed data-mining framework is the need for a compromise between the cost of communication and computation resources and the accuracy of the mining results. This is essentially a decision of whether it is more efficient to communicate all of the data to...
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF Stephanie Deutschman for the

  • Pattern systems and methodologies for multiparadigm analysis and design

    Creator:
    Knutson, Charles D.
    Abstract:
    In this research, we have captured, in pattern form, key elements of programming and design in four programming paradigms (imperative, object-oriented, functional and logical) as well as multiparadigm programming. These pattern sets have formed a foundation upon which we were able to build a deeper understanding of multiparadigm programming and...
    Resource Type:
    Dissertation
    Full Text:
    . Abstract approved: ______________________________________________________ Curtis R. Cook In this research

  • Machine Learning for Precision Medicine: Application to Cancer Chemotherapy Response Prediction and Wound Healing Status Assessment

    Creator:
    Wei, Qi
    Abstract:
    Ph.D. candidate Qi Wei's thesis consists of two projects: Chemotherapy Project: a study based on the research paper "Predicting chemotherapy response of various cancer types using a variational auto-encoder approach" submitted to the bioRxiv preprint archive and accepted by the BMC bioinformatics; and Wound Monitor Project: implementing and assessing analytics...
    Resource Type:
    Dissertation

  • 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:
    them from the data. For example, Lo Bianco et al. perform two taxonomic classifications, the Malva

  • Coincident Nodes Multi-Edge Graph for Simultaneous Decision and Objective Space Multi-Dimensional Visualization

    Creator:
    Guizani, Mariam
    Abstract:
    The importance of data visualization is becoming increasingly more substantial to the field of optimization and engineering design where a carefully designed visualization of the data on decision parameters (i.e Decision Space) and performance functions (i.e Objective Space) is critical to the success of the decision making process. One of...
    Resource Type:
    Masters Thesis

  • Type-correct changes — a safe approach to version control implementation

    Creator:
    Dagit, Jason
    Abstract:
    Ensuring correctness of real-world software applications is a challenging task. Testing can be used to find many bugs, but is typically not sufficient for proving correctness or even eliminating entire classes of bugs. However, formal proof and verification techniques tend to be very heavy weight and are simply not available...
    Resource Type:
    Masters Thesis
    Full Text:
    as follows, R(x, y) = rename x to y E1(x) = fixed but arbitrary edit to file x E2(x) = fixed but

  • Relational Networks for Visual Relationship Detection in Images

    Creator:
    Nguyen, Khoi
    Abstract:
    This thesis is about visual relationship detection. This is an important task in computer vision. The goal is to detect all visual relationships in a given image between objects. This thesis presents a new approach to this problem. Our approach does not use an object detector as a common pre-processing...
    Resource Type:
    Masters Thesis
    Full Text:
    predicate. 3.2 Triplet Proposal 11 F ig u re 3. 1: A n ov er v ie w of ou r ap p ro a ch fo r

  • Individual Fairness Optimization in Machine Learning with Minimax Loss and an Abstain Option

    Creator:
    Behnoudfar, Ali
    Abstract:
    In this thesis, a new learning algorithm is introduced that is targeted towards individual fairness. In order to be individually fair, mispredictions need to be avoided as each such prediction means the learning algorithm was unfair towards some individual. Therefore, achieving individual fairness implies having a perfect classifier, which is...
    Resource Type:
    Masters Thesis
    Full Text:
    } denotes the binary ground truth label. Assuming discriminant function f() and convex loss function φ : R 7

  • Web-based analysis module for a germplasm collection

    Creator:
    Sharma, Akash
    Abstract:
    GEM-GIS is a prototype of a web-based GIS/Database application for managing a germplasm collection. This application include a database, a map interface, a set of web forms for database access, and an analysis module. The analysis module perform statistical analysis for the accessions of a species selected by the user...
    Resource Type:
    Capstone Project
    Full Text:
    l l n n r l I I I I [I I l I u u u u

  • Schemer : a hierarchical software architecture for real time problem solving

    Creator:
    Srivastava, Sharad
    Abstract:
    This paper describes Schemer, a hierarchical software architecture for Real Time problem solving. Real time applications must be able to react to critical events quickly, and be able to explore simultaneous solutions in response to, or, in anticipation of such events. Schemer, which is a Blackboard-like architecture, addresses the aforementioned...
    Resource Type:
    Capstone Project
    Full Text:
    -lock) A lock that can only be held by one process at a time. r. Trigger Hash (trig-hash) The