Index Catalog // ScholarsArchive@OSU

The sum of its parts : investigating the component pieces of GenderMag

Creator:: Hill, Charles
Abstract:: Previous work introduced the GenderMag method, a software inspection method used to help software creators identify features within their software that are not gender-inclusive. Inclusiveness of software (gender or otherwise) matters because supporting diversity matters—it is well-known that the more diverse a group of problem-solvers, the higher the quality of...
Resource Type:: Masters Thesis

Computational Elucidation of the Regulatory SNPs in the Non-Coding Regions of the Human Genome

Creator:: Yao, Yao
Abstract:: We describe a series of novel computational models, CERENKOV (Computational Elucidation of the REgulatory NonKOding Variome) and its successors CERENKOV2, CERENKOV3, and Convolutional CERENKOV3, for discriminating regulatory single nucleotide polymorphisms (rSNPs) from non-regulatory SNPs within non-coding genetic loci. The CERENKOV models are designed for recognizing rSNPs in the context of...
Resource Type:: Dissertation

Redesigning the Structure and Access Paths of Databases for Effective and Efficient Query Processing

Creator:: Ghadakchi, Vahid
Abstract:: Many database users are not familiar with formal query languages, the concept of schema, or the exact content of their database. Thus, it is challenging for these users to formulate their information needs over semi-structured and structured databases. To address this problem, researchers have proposed usable query interfaces over which...
Resource Type:: Dissertation

Similarity inheritance : a model of inheritance for declarative visual programming languages

Creator:: Djang, Rebecca W. (Rebecca Walpole)
Abstract:: Declarative visual programming languages (VPLs), including spreadsheets, make up a large portion of both research and commercial VPLs. Spreadsheets in particular enjoy a wide audience, including end users. Unfortunately, spreadsheets and most other declarative VPLs still suffer from some of the problems that have been solved in other languages, such...
Resource Type:: Dissertation

Machine Learning for Precision Medicine: Application to Cancer Chemotherapy Response Prediction and Wound Healing Status Assessment

Creator:: Wei, Qi
Abstract:: Ph.D. candidate Qi Wei's thesis consists of two projects: Chemotherapy Project: a study based on the research paper "Predicting chemotherapy response of various cancer types using a variational auto-encoder approach" submitted to the bioRxiv preprint archive and accepted by the BMC bioinformatics; and Wound Monitor Project: implementing and assessing analytics...
Resource Type:: Dissertation

Distributed OpenCL : a platform for distributed, heterogeneous computing for domain scientists

Creator:: Dillon, William H.
Abstract:: It is possible to purchase, for as little as $10,000, a cluster of computers with the capability to rival the supercomputers of only a few years ago. Now, users that have little to no experience developing distributed applications or managing a cluster are in a position to do so. To...
Resource Type:: Dissertation

Machine Learning Techniques to Model Species Interactions and Distributions Under Imperfect Detection

Creator:: Seo, Eugene
Abstract:: Ecological domains seeking to understand the environment and the behavior of species have received little attention in machine learning (ML), despite the fact that environmental changes have a significant impact on humans as well as ecosystems. Some ecological problems can be formulated similarly to other common ML applications, but there...
Resource Type:: Dissertation

Investigating the Effects of Design Quality in OSS Projects

Creator:: Mannan, Umme Ayda
Abstract:: Software systems are becoming an essential part of the lives of both individuals and organizations, and as a consequence, these systems are getting bigger and more complex. Because of this, the tasks of maintaining the quality in these complex software systems are becoming increasingly difficult. Furthermore, these systems are subject...
Resource Type:: Dissertation

Convergence Analysis Framework for Fixed-Point Algorithms in Machine Learning and Signal Processing

Creator:: Vu, Trung
Abstract:: Iterative algorithms are simple yet efficient in solving large-scale optimization problems in practice. With a surge in the amount of data in past decades, these methods have become increasingly important in many application areas including matrix/tensor recovery, deep learning, data mining, and reinforcement learning. To optimize or improve iterative algorithms,...
Resource Type:: Dissertation

ScholarsArchive@OSU

The sum of its parts : investigating the component pieces of GenderMag

Computational Elucidation of the Regulatory SNPs in the Non-Coding Regions of the Human Genome

Redesigning the Structure and Access Paths of Databases for Effective and Efficient Query Processing

Similarity inheritance : a model of inheritance for declarative visual programming languages

Machine Learning for Precision Medicine: Application to Cancer Chemotherapy Response Prediction and Wound Healing Status Assessment

Distributed OpenCL : a platform for distributed, heterogeneous computing for domain scientists

Machine Learning Techniques to Model Species Interactions and Distributions Under Imperfect Detection

Investigating the Effects of Design Quality in OSS Projects

Convergence Analysis Framework for Fixed-Point Algorithms in Machine Learning and Signal Processing

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