Index Catalog // ScholarsArchive@OSU

A collaborative filtering algorithm and evaluation metric that accurately model the user experience

Creator:: McLaughlin, Matthew
Abstract:: "Collaborative filtering algorithms’ performances have been evaluated using a variety of metrics. These metrics, such as Mean Absolute Error and Precision, have often ignored recommendations for which they do not have data. Ignoring these recommendations has provided numbers which do not accurately represent the user experience. Qualitatively we have seen...
Resource Type:: Capstone Project
Full Text:: % 30 % 50 % 70 % 90 % Recall M o d if ie d P re c is io n User-to-User Item-Item

3D Voronoi Subdivision for Simulating Destructible and Granular Materials

Creator:: Clothier, Matthew M.
Abstract:: In many traditional computer graphics applications, rendered scenes typically utilize 3D meshes to represent objects within an environment. As the demand to further improve the realism of graphics applications increases, such as for movies and games, it is becoming more important to represent the inner volumes of object meshes. In...
Resource Type:: Dissertation
Full Text:: AN ABSTRACT OF THE DISSERTATION OF Matthew

A Study of Temporal Convolutional Neural Networks for Music Language Modeling as Applied to Automatic Music Transcription

Creator:: Meyn, Matthew
Abstract:: Automatic music transcription (AMT) is the task, given an acoustic representation of music, to recover a symbolic notation of the written notes expressed by the sound. Transcribing music with multiple notes sounding simultaneously is difficult for both humans and machines. Much existing work on AMT has focused on suitable acoustic...
Resource Type:: Capstone Project
Full Text:: AN ABSTRACT OF THE PROJECT REPORT OF Matthew Meyn for

The Implementation of Passive RFID Tags to Sample Volumetric Water Content for an Autonomous Irrigation System

Creator:: Guo, Matthew D.
Abstract:: The agricultural industry in the Western United States continues to possess issues of overwatering, accounting for over 80% of consumed water per year in the country. While technologies such as satellite imaging and sensor networks have slowly improved irrigation Best Management Practices to reduce superfluous water consumption, limitations associated with...
Resource Type:: Honors College Thesis
Full Text:: Volumetric Water Content for an Autonomous Irrigation System by Matthew Guo

Counterfactual States for Atari Agents via Generative Deep Learning

Creator:: Olson, Matthew L.
Abstract:: Although deep reinforcement learning agents have produced impressive results in many domains, their decision making is difficult to explain to humans. To address this problem, past work has mainly focused on explaining why an action was chosen in a given state. A different type of explanation that is useful is...
Resource Type:: Masters Thesis
Full Text:: AN ABSTRACT OF THE THESIS OF Matthew Lyle Olson for the

Characterizing and Addressing Dataset Shift with Deep Learning

Creator:: Olson, Matthew L.
Abstract:: This dissertation delves into understanding, characterizing, and addressing dataset shift in deep learning, a pervasive issue for deployed machine learning systems. Integral aspects of the problem are examined: We start with the use of counterfactual explanations in order to characterize the behavior of deep reinforcement learning agents in visual input...
Resource Type:: Dissertation
Full Text:: AN ABSTRACT OF THE DISSERTATION OF Matthew L

Analysis of Convolutional Neural Network Image Pre-processing Methods

Creator:: Jacobsen, Matthew
Abstract:: Oceanic plankton have both a large impact on our oceans health and atmo- spheric balance of Co2. The overall health of planktonic life is determined by many physical, chemical, and ecological factors, that drive taxonomic abundances and the relative amount of non-living biomass called detritus. Recent advances in microscopic imaging...
Resource Type:: Honors College Thesis
Full Text:: Matthew Jacobsen A THESIS submitted to Oregon State University Honors College in partial fulfillment

Predicting Robotic Grasps Using Surrogate Datasets

Creator:: Unrath, Matthew Paul Nishita
Abstract:: One of the tasks that continues to prove difficult in robotics is the ability to grasp objects of varying shapes. It is time-consuming to acquire large amounts of real-world data in order to train accurate classifiers that can predict the success or failure of a grasp. To solve this issue,...
Resource Type:: Honors College Thesis
Full Text:: AN ABSTRACT OF THE THESIS OF Matthew Paul Nishita Unrath for

High school students' anticipated ROI in college and other career plans

Creator:: Kang, Kenneth
Abstract:: This study investigates the evaluation of Return on Investment (ROI) in education from the perspective of high school students, introducing a theoretical model that encompasses both financial and non-financial aspects, with a primary focus on the unique insights provided by high school students. Drawing from a literature review and survey-based...
Resource Type:: Honors College Thesis
Full Text:: _____________________________________________________________________ Matthew Hall, Committee Member, representing Marketing

Improving the accuracy and efficiency of bird song analysis with machine learning based event detection

Creator:: Mathew, Anju
Abstract:: Ornithology is an exciting field with novel research emerging everyday. Researchers in bioacoustics often spend hours within the wilderness recording bird calls to analyze later in their lab. The burden of sifting through hours of audio recordings from the field continues to remain a time-consuming and manual task, despite the...
Resource Type:: Honors College Thesis
Full Text:: of Electrical Engineering and Computer Science Matthew Orr, Committee Member, representing

ScholarsArchive@OSU

A collaborative filtering algorithm and evaluation metric that accurately model the user experience

3D Voronoi Subdivision for Simulating Destructible and Granular Materials

A Study of Temporal Convolutional Neural Networks for Music Language Modeling as Applied to Automatic Music Transcription

The Implementation of Passive RFID Tags to Sample Volumetric Water Content for an Autonomous Irrigation System

Counterfactual States for Atari Agents via Generative Deep Learning

Characterizing and Addressing Dataset Shift with Deep Learning

Analysis of Convolutional Neural Network Image Pre-processing Methods

Predicting Robotic Grasps Using Surrogate Datasets

High school students' anticipated ROI in college and other career plans

Improving the accuracy and efficiency of bird song analysis with machine learning based event detection

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