Index Catalog // ScholarsArchive@OSU

Creator:: Whitlock, Steven L.
Abstract:: The National Park Service has a dual mission of providing public access to exceptional natural resources, but in a manner such that these resources are left “unimpaired for the enjoyment of future generations.” Human activities in parks undoubtedly affect wildlife, but the degree to which such activities cause impairment is...
Resource Type:: Dissertation

Creator:: Ebert, Victoria
Abstract:: Automatic Music Transcription is a growing area of interest in Music Information Retrieval, and recent research has shown promise using onset detection on spectrograms. We propose a deep learning model that takes raw audio as input in order to transcribe a solo piano performance from audio to MIDI without complicated...
Resource Type:: Honors College Thesis
Full Text:: _____________________________________________________________________ Rebecca Hutchinson, Committee Member, representing School of Electrical Engineering and Computer

Creator:: Bouché, Adam J.
Abstract:: Changes to disturbance regimes resulting from shifts in forest management practices have created novel landscape conditions in the Pacific Northwest (PNW). I analyzed the implications of changes to landscape conditions caused by forest management for the spread of a native root disease: black stain root disease (BSRD) of Douglas-fir. BSRD...
Resource Type:: Masters Thesis
Full Text:: , infection centers expand with mean radial growth rates from 0.4 to 0.9 m/year, and areas from 0.001

Creator:: Curtis, Jenna R.
Abstract:: Human alteration of natural landscapes leads to biodiversity loss, often from a combination of area effects and fragmentation effects. Smaller habitat patches support fewer species than large ones and incur additional consequences from isolation. Efforts to preempt biodiversity loss from insular habitat fragments are complicated by individualistic species responses and...
Resource Type:: Dissertation
Full Text:: span of two graduate degrees. I thank my other committee members, Bruce McCune, Rebecca Hutchinson

Creator:: Zatkos, Lauren E.
Abstract:: The structure of food webs and how they relate to community stability has been an important debate in ecology. Specifically, predictability of web shape and how it influenced by surrounding landscapes is one of the main goals of such discussions. Headwater streams provide a study template that is of interest...
Resource Type:: Masters Thesis
Full Text:: . Committee members at OSU included Sherri Johnson, Rebecca Hutchinson, and Katherine McLaughlin, and their

Creator:: Sinha, Meghamala
Abstract:: Causal inference is an important analytical tool to bridge the gap between prediction and decision-making. However, learning a causal network solely from data is a challenging task. In this work, various techniques have been explored for a better and improved causal network learning from data. Firstly, the problem of learning...
Resource Type:: Dissertation
Full Text:: Tadepalli, Dr. Rebecca Hutchinson, and Dr. Thomas Sharpton, for their insightful comments and encouragement

Creator:: Xu, Chunxue
Abstract:: We live on an Urban Planet. The current unprecedented urbanization is accompanied by intensive land cover transition and demographic shifts from rural to urban livelihoods. Cities serve as cultural, economic, political centers that facilitate wealth creation and innovation of the society, sustaining human from multi-dimensions with large ecological footprints far...
Resource Type:: Dissertation
Full Text:: earnest thanks to Dr. Jamon Van Den Hoek and Dr. Rebecca Hutchinson for their valuable input and

Creator:: Sinha, Meghamala
Abstract:: In this research, we address the problem of learning a single causal network structure from multiple dataset generated from different experiments. The experiments can be observational or interventional. We assume that each dataset is generated by an unknown causal network altered under different experimental conditions (interventions, manipulation or perturbation). As...
Resource Type:: Masters Thesis
Full Text:: consists of n observations and m variables. A common approach is to start by learning a reasonably high

ScholarsArchive@OSU