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Filtering by: Creator Minard, David Raymond Remove constraint Creator: Minard, David Raymond Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science

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  • Interpretable Machine Learning: Applications in Biology and Genomics

    Creator:
    Danaee, Padideh
    Abstract:
    Machine learning (ML) and deep learning (DL) models impact our daily lives with applications in natural language modeling, image analysis, healthcare, genomics, and bioinformatics. The exponential growth of biological sequence data necessitates accompanying advances in computational methods. Although deep learning is highly effective for detecting and classifying biological sequences, challenges...
    Resource Type:
    Dissertation
    Full Text:
    Machine Learning: Applications in Biology and Genomics Abstract approved: David A. Hendrix Machine

  • Exploratory Study to Uncover Student Mental Models of Singly Linked Lists in the C Programming Language

    Creator:
    Almadhoun, Eman
    Abstract:
    In computer science, learning abstract fundamental programming concepts requiring students to understand memory management can be very difficult and lead to misunderstandings that carry on into advanced topics. This is especially true in data structures with abstract data types. Understanding how novice students think and reason about data structures is...
    Resource Type:
    Dissertation

  • Representationally Robust and Scalable Learning over Relational Databases

    Creator:
    Picado Leiva, Jose Manuel
    Abstract:
    Learning novel concepts from relational databases is an important problem with applications in several disciplines, such as data management, natural language processing, and bioinformatics. For a learning algorithm to be effective, the input data should be clean and in some desired representation. However, real-world data is usually heterogeneous – the...
    Resource Type:
    Dissertation
    Full Text:
    : Alan Fern, David Maier, Prasad Tadepalli, and Hector Vergara. Their insightful comments helped this

  • Joining open source software communities: an analysis of newbies’ first interactions on project mailing lists

    Creator:
    King, Scott T.
    Abstract:
    Open source software has become a powerful force in the world of computing. While once confined to the domain of technical specialists, people of all types have begun to adopt this software – from the casual web-surfer who uses Firefox, to the professional web developer who codes in PHP or...
    Resource Type:
    Masters Thesis
    Full Text:
    GNU software, which is why it is also known as “GNU/Linux” (Stallman, 2007a). Eric Raymond was

  • Image Based Crypto

    Creator:
    Basa, Gungor
    Abstract:
    The ability to create reproducible cryptographically secure keys from temporal environments (e.g., images) has the potential to be a contributor to effective cryptographic mechanisms. Due to the noisy nature of these environments, achieving this goal in a user friendly fashion is a very challenging task, especially since there exists a...
    Resource Type:
    Masters Thesis

  • Gender and participation in early stages of the free/open source software joining process

    Creator:
    Gilbertson, Claire E.
    Abstract:
    Free/Open Source Software (FOSS) is a powerful development paradigm for creating software. Increasingly more FOSS projects, like Firefox and Android, are integrated into mainstream technology. It is important that FOSS projects serve its diverse user base well. Several surveys have found that existing FOSS communities are very homogenous populations and...
    Resource Type:
    Masters Thesis
    Full Text:
    the ages of 18 and 25, and from North America and Western Europe (FLOSSPOLLS, 2006, David et al

  • Facilitating Code Comprehension by Annotations in Canvas-Based IDE

    Creator:
    Adeli, Marjan
    Abstract:
    Developers spend a considerable amount of time comprehending code and building accurate mental models of the code. Understanding the relationships between software features within IDEs is difficult, with information split across different visual hierarchies making navigation cumbersome. Canvas-based IDEs mitigate some of the navigation costs by allowing relevant information to...
    Resource Type:
    Masters Thesis

  • Diagramming practices in open source software development

    Creator:
    Chung, Eunyoung
    Abstract:
    Visual information presented in diagrams promotes information processing both in an individual and in collaborative work. Previous literature has identified the role of diagrams in understanding information processing in a variety of disciplines. In software engineering, diagrams are a prevalent method involved in process development: diagrams are used for system...
    Resource Type:
    Masters Thesis

  • Computational Elucidation of the Regulatory SNPs in the Non-Coding Regions of the Human Genome

    Creator:
    Yao, Yao
    Abstract:
    We describe a series of novel computational models, CERENKOV (Computational Elucidation of the REgulatory NonKOding Variome) and its successors CERENKOV2, CERENKOV3, and Convolutional CERENKOV3, for discriminating regulatory single nucleotide polymorphisms (rSNPs) from non-regulatory SNPs within non-coding genetic loci. The CERENKOV models are designed for recognizing rSNPs in the context of...
    Resource Type:
    Dissertation

  • Dual referencing guidelines to minimize power delivery noise coupling

    Creator:
    Mark, Shannon
    Abstract:
    Dual referencing has been garnering a lot of attention in the power integrity community, specifically in the voltage mode driver application because it shows a lower overall power delivery noise (PDN) compared to other signal referencing types. Additionally, the increasing push to drive down package and board manufacturing costs is...
    Resource Type:
    Masters Thesis
    Full Text:
    group mates including David Aerne and Jackie Preciado have been excellent resources and advisors in