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Filtering by: Creator Varela-Lafuente, Manuel M. Remove constraint Creator: Varela-Lafuente, Manuel M. Degree Field Computer Science Remove constraint Degree Field: Computer Science

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  • 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:
    AN ABSTRACT OF THE DISSERTATION OF Jose Manuel Picado Leiva

  • 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:
    : Margaret M. Burnett “What’s wrong with this AI?” Explainable AI (XAI) researchers are moving beyond ex

  • A browser-based tool for designing query interfaces to scientific databases

    Creator:
    Newsome, Mark Ronald, 1960-
    Abstract:
    Scientists in the biological sciences need to retrieve information from a variety of data collections, traditionally maintained in SQL databases, in order to conduct research. Because current assistant tools are designed primarily for business and financial users, scientists have been forced to use the notoriously difficult command-line SQL interface, supplied...
    Resource Type:
    Dissertation
    Full Text:
    Interfaces to Scientific Databases. Abstract approved: Cherri M. Pancake Scientists in the biological

  • 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:
    . . . . . . . . . . . . 180 M Data Appendix - CNNs poisoned by perception/action . . . . . . . . . . . . 182 TABLE OF

  • Characterizing Server Compromise: Resilience Models, Instantiations, and Impossibilities

    Creator:
    McQuoid, Ian M.
    Abstract:
    One of the pervasive problems arising in our modern, digital world surrounds data breaches where an adversary, through zero-day exploitations, phishing, or old-fashioned social engineering attacks, gains access to a service’s data stores. Our society increasingly relies on these cloud-based services for everything from our taxes to personal communication. As...
    Resource Type:
    Dissertation
    Full Text:
    AN ABSTRACT OF THE DISSERTATION OF Ian M

  • Variational Satisfiability Solving

    Creator:
    Young, Jeffrey M.
    Abstract:
    Over the last two decades, satisfiability and satisfiability-modulo theory (SAT/SMT) solvers have grown powerful enough to be general purpose reasoning engines throughout software engineering and computer science. However, most practical use cases of SAT/SMT solvers require not just solving a single SAT/SMT problem, but solving sets of related SAT/SMT problems....
    Resource Type:
    Dissertation
    Full Text:
    AN ABSTRACT OF THE DISSERTATION OF Jeffrey M. Young for

  • On Avoiding Power-Seeking by Artificial Intelligence

    Creator:
    Turner, Alexander M.
    Abstract:
    We do not know how to align a very intelligent AI agent's behavior with human interests. I investigate whether—absent a full solution to this AI alignment problem—we can build smart {\ai} agents which have limited impact on the world, and which do not autonomously seek power. In this thesis, I...
    Resource Type:
    Dissertation

  • Macman database

    Creator:
    Al-Dhelaan, Abdullah
    Abstract:
    The Macintosh revolutionary interface sets it apart from all other personal computers. The Macintosh designers made the Macintosh easy to learn, understand, and use. To ensure correct implementation of their User interface, Apple provided Macintosh programmers with "Inside Macintosh". Inside Macintosh is a complete detailed manual which contains recommendations and...
    Resource Type:
    Capstone Project
    Full Text:
    tlll Manuel. Fig. 17. MacMan's Data Flow Diagram 2.2.1. MacMan's Files: The following files are

  • Resource-Aware Distributed Data Sanitization for Privacy Preserving Machine Learning

    Creator:
    Anand, Yashwanthi
    Abstract:
    When a single object is captured by multiple edge devices, the data captured by every edge device could contain both public and private information. The private information in every copy of the data captured has to be preserved while the public information has to be utilized for any further machine...
    Resource Type:
    Masters Thesis
    Full Text:
    details of the process explained above. A mini-batch set with m data instances, {x1, ..., xm} is sampled

  • Learning Topical Social Media Sensors for Twitter

    Creator:
    Iman, Zahra
    Abstract:
    Social media sources such as Twitter represent a massively distributed social sensor over diverse topics ranging from social and political events to entertainment and sports news. However, due to the overwhelming volume of content, it can be difficult to identify novel and significant content within a broad topic in a...
    Resource Type:
    Masters Thesis