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Filtering by: Contributor Noller, Jay S. Remove constraint Contributor: Noller, Jay S. Degree Field Computer Science Remove constraint Degree Field: Computer Science

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  • A Benchmarking Study of Unsupervised Anomaly Detection Algorithms

    Creator:
    Emmott, Andrew F.
    Abstract:
    It is common practice in the unsupervised anomaly detection literature to create experimental benchmarks by sampling from existing supervised learning datasets. We seek to improve this practice by identifying four dimensions important to real-world anomaly detection applications --- point difficulty, clusteredness of anomalies, relevance of features, and relative frequency of...
    Resource Type:
    Masters Thesis

  • A Decade of Linux Kernel Vulnerabilities, their Mitigation and Open Problems

    Creator:
    Raj, Abhilash
    Abstract:
    The aim of this thesis is to study past 10 years of security vulnerabilities reported against Linux Kernel and all existing mitigation techniques that prevent the exploitation of those vulnerabilities. To systematically study the security vulnerabilities, they were categorized into classes and sub-classes based on their type. This thesis first...
    Resource Type:
    Masters Thesis
    Full Text:
    number C V SS S co re s Distribution of CVSS Figure 1.2: Relative distribution of Common

  • A General Framework for Predicting the Geospatial Distribution of Botanical Species

    Creator:
    Chick, Jesse S.
    Abstract:
    The local presence or absence of individual botanical species can be predicted with high accuracy by a simple feed-forward neural network, using only local climate data to make inference. This study proposes a framework for learning these predictive models, demonstrates highly accurate predictions for species with a sufficiently large area...
    Resource Type:
    Honors College Thesis
    Full Text:
    Distribution of Botanical Species Abstract approved: Jay Alder The local presence or absence of individual

  • Action Segmentation in Videos: Deep Models, Prediction Diffusion, and Deep-Temporal Augmentations

    Creator:
    Aziere, Nicolas
    Abstract:
    This paper addresses the high model complexity and overconfident frame labeling of state-of-the-art (SOTA) action segmenters. Their complexity is typically justified by the need to sequentially refine action segmentation through multiple stages of a deep architecture. However, this multistage refinement does not take into account uncertainty of frame labeling predicted...
    Resource Type:
    Dissertation
    Full Text:
    3.2 The T at stage s enhances features of a query video segment X (s) i based on compressed

  • Active Learning from Examples, Queries and Explanations

    Creator:
    Hamidi-Haines, Mandana
    Abstract:
    Humans are remarkably efficient in learning by interacting with other people and observing their behavior. Children learn by watching their parents’ actions and mimic their behavior. When they are not sure about their parents demonstration, they communicate with them, ask questions, and learn from their feedback. On the other hand,...
    Resource Type:
    Dissertation
    Full Text:
    . . . . . . . . . . . . . . . . . . 26 3.1 The average results over 10 runs on six datasets with query size s and label set size L

  • AI, Robot: A Rhetorical Analysis of Jeopardy! Matches Featuring IBM’s Artificial Intelligence

    Creator:
    Steele, Evan T.
    Abstract:
    The relationship between the public and new technologies has historically been a tumultuous one, with public perceptions ranging from excited rapid adoption to standoffish pessimism. In 2011, IBM tried to use competition as a means of showcasing a new technology to the public. This thesis is a work of rhetorical...
    Resource Type:
    Masters Thesis
    Full Text:
    chess positions/s, one chess chip operates as the equivalent of a 100-billion-instruction/s

  • Algorithms for massive biological datasets

    Creator:
    Bryant, Douglas W. (Douglas Wesley)
    Abstract:
    Within the past several years the technology of high-throughput sequencing has transformed the study of biology by offering unprecedented access to life's fundamental building block, DNA. With this transformation's potential a host of brand-new challenges have emerged, many of which lend themselves to being solved through computational methods. From de...
    Resource Type:
    Dissertation
    Full Text:
    S. suis, 43.8% of the 36mer Illumina reads in the data set matched perfectly to the reference genome

  • Anomaly Detection and Probabilistic Diagnosis for Automated Data Quality Control

    Creator:
    Zemicheal, Tadesse H.
    Abstract:
    Advances in sensor technology are greatly expanding the range of quantities that can be measured while simultaneously reducing the cost. However, deployed sensors drift out of calibration and fail, so every sensor network requires quality control procedures to promptly detect these failures. To address these problems, we propose a two-level...
    Resource Type:
    Dissertation
    Full Text:
    distribution P (V |S) of a set of sen- sors given the states of all of the sensors and simultaneously infers

  • Assessing mental workload and situation awareness in the evaluation of real-time, critical user interfaces

    Creator:
    Strawn, Jordan J.
    Abstract:
    While there are many ways to evaluate a user interface design, the user's mental workload and situation awareness (SA) are particularly important considerations in the supervisory control of safety-critical systems. Typically, operators of these systems must monitor high-volume, time-sensitive status information. Interface design for this domain can be challenging and...
    Resource Type:
    Masters Thesis
    Full Text:
    and Performance Lab kindly demonstrated EEG data collection and analysis. Jay Penry of the OSU Dept

  • Augmenting self-study materials with microcomputer-based lessons: a case study

    Creator:
    Giangrande, Ernest
    Abstract:
    An experiment was conducted at Oregon State University to evaluate the effectiveness of Computer Aided Instruction based lessons in a self study environment. The 47 student subjects were assigned to one of three groups: a CAI-EXP group which used a CAI lesson for teaching introductory FORTRAN formatted input and output;...
    Resource Type:
    Masters Thesis
    Full Text:
    (1979) reports that the lack of qualified authors has also contributed to this problem. Jay (1981), and