Index Catalog // ScholarsArchive@OSU

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

Mood-dynamic playlist : interpolating a path of emotions using a KNN algorithm

Creator:: Gaur, Shaurya
Abstract:: Users curate music playlists based on emotion to focus or relax, so streaming services often create playlists of songs to aid this process. Prior research focuses on generating playlists of a single mood or genre, although a few studies work to construct automatic playlists that transition between the genres of...
Resource Type:: Honors College Thesis

Multiple Instance Multiple Label Learning with Limited Supervision

Creator:: Nguyen, Tam
Abstract:: In weak supervision learning, label information can be provided at different levels of granularity. For example, in multi-instance multi-label learning, samples are organized into bags and labels for each class are provided at the bag level. For small datasets, this approach offers means of reducing the labeling efforts. However, in...
Resource Type:: Dissertation

Fault-tolerant ring embedding in De Bruijn networks

Creator:: Rowley, Robert A.
Resource Type:: Dissertation
Full Text:: 11.65 14 10 6 966.35 984 963 964 11.95 14 11 7 956.61 974 952 954 12.28 15 11 8 948.41 978 942 944

Adaptive Movement Intent Decoding for Intuitive Control of Neuroprostheses

Creator:: George, Damon A.
Abstract:: Movement intent decoders, which interpret volitional movement intent from human bioelectric signals, can be incorporated into modern neuroprostheses to offer people living with limb loss or paralysis the potential to regain their lost motor control. Machine learning methods have become the research standard for continuous decoders with high degrees of...
Resource Type:: Masters Thesis
Full Text:: constraint that Ts < Th  Tf < Te. Ri e H ld Fall Re Ti e D ec de O Figure 3.4: The smooth trapezoidal

Variational Typing and Its Applications

Creator:: Chen, Sheng
Abstract:: The study of variational typing originated from the problem of type inference for variational programs, which encode numerous different but related plain programs. In this dissertation, I present a sound and complete type inference algorithm for inferring types of all plain programs encoded in variational programs. The proposed algorithm runs...
Resource Type:: Dissertation
Full Text:: . . . . 37 3.4 An email client SPL named EC in FFJPL. . . . . . . . . . . . . . . . . 40 3.5 The product

An interpreter for a very-high level language (BAGIT)

Creator:: Chou, Kuo-Wei
Abstract:: The purpose of this project is to design and implement an intermediate language interpreter for a very high level language called Bagit. The Bagit compiler produces Bcode, and this in turn is interpreted by the program described in this report.
Resource Type:: Capstone Project

Information Foraging Theory as a Unifying Foundation for Software Engineering Research : Connecting the Dots

Creator:: Piorkowski, David
Abstract:: Empirical studies have shown that programmers spend up to one-third of their time navigating through code during debugging. Although researchers have conducted empirical studies to understand programmers’ navigation difficulties and developed tools to address those difficulties, the resulting findings tend to be loosely connected to each other. To address this...
Resource Type:: Dissertation

Enhancing Search-Based Techniques with Information Control Dependencies

Creator:: Aburas, Ali
Abstract:: Software testing is a very important task during software development and it can be used to improve the quality and reliability of the software system. One potential way to reduce the cost and increase the efficiency of software testing is to generate test data automatically. Search-based approaches successfully generate unit...
Resource Type:: Dissertation

Interpretable Machine Learning: Applications in Biology and Genomics

Creator:: Danaee, Padideh
Abstract:: Machine learning (ML) and deep learning (DL) models impact our daily lives with applications in natural language modeling, image analysis, healthcare, genomics, and bioinformatics. The exponential growth of biological sequence data necessitates accompanying advances in computational methods. Although deep learning is highly effective for detecting and classifying biological sequences, challenges...
Resource Type:: Dissertation

ScholarsArchive@OSU

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

Mood-dynamic playlist : interpolating a path of emotions using a KNN algorithm

Multiple Instance Multiple Label Learning with Limited Supervision

Fault-tolerant ring embedding in De Bruijn networks

Adaptive Movement Intent Decoding for Intuitive Control of Neuroprostheses

Variational Typing and Its Applications

An interpreter for a very-high level language (BAGIT)

Information Foraging Theory as a Unifying Foundation for Software Engineering Research : Connecting the Dots

Enhancing Search-Based Techniques with Information Control Dependencies

Interpretable Machine Learning: Applications in Biology and Genomics

Limit your search

Academic Affiliation

Advisor

Commencement Year

Committee Member

Creator

Contributor

Date

Decade

Degree Field

Degree Level

Degree Name

Language

License

Non-Academic Affiliation

Peer Reviewed

Resource Type

Rights Statement

Subject

Search Constraints

Search Results

Limit your search