Index Catalog // ScholarsArchive@OSU

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:: ways, both visible and invisible, meaning a variety of stakeholders need a variety of assessment tools

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:: failures. To address these problems, we propose a two-level architecture, SENSOR-DX, for automated quality

Creator:: Liu, Si
Abstract:: Anomaly detection aims at detecting the points that appear different than the majority of the data, such that they are suspected to be generated from a different distribution. Anomaly detectors have been applied in many different fields, such as detecting fraudulent behaviors in bank transaction, finding broken sensors in a...
Resource Type:: Dissertation
Full Text:: than the majority of the data, such that they are suspected to be generated from a di↵erent

Creator:: Guyer, Alexander
Abstract:: Many object recognition applications require detecting and responding to objects drawn from a different distribution from that of the training data. This task is referred to as out-of-distribution (OOD) detection, and it is often formulated as an outlier detection problem wherein the probability distribution of the known data P(X) is...
Resource Type:: Masters Thesis
Full Text:: responding to objects drawn from a different distribution from that of the training data. This task is

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