Index Catalog // ScholarsArchive@OSU

The Emergent Qualities of Diversity in Free and Open Source Software Communities: A Critical Review and Theoretical Discussion

Creator:: Kuechler, J. Victor
Abstract:: Free and open source software (FOSS) projects primarily rely on the efforts of volunteer contributors from around the world. For this reason, recruiting and retaining contributor is vital to the sustainability and growth of FOSS projects. This notion became the jumping-off point for this three-part investigation into the cultural structure...
Resource Type:: Masters Thesis
Full Text:: far. I specifically want to thank Jennifer Davidson for sharing her passion for FOSS and diversity

Involving older adults in the design and development of free/open source software

Creator:: Davidson, Jennifer L.
Abstract:: An age-wave is upon us where many older adults are reaching retirement. Technically experienced older adults have skills that could be directly applied to free/open source software (FOSS) communities, such as project management, programming, and/or knowledge of a rapidly growing end-user population. FOSS is a widely popular, low-cost way to...
Resource Type:: Dissertation
Full Text:: DISSERTATION OF Jennifer L. Davidson for the degree of Doctor of Philosophy in Computer Science

Novel approaches to promoting end-user programming

Creator:: Bahmani, Faezeh
Abstract:: End-user programming has become widespread. The increasing size of this population and the prevalence of barriers that they face has sparked the development of approaches that promote end-user programing by helping them overcome barriers and teaching them programming. Despite the fact that these approaches have done well in achieving those...
Resource Type:: Masters Thesis
Full Text:: company kept me happy during the last year; and Jennifer Davidson who assisted me at various points of

Learning Topical Social Media Sensors for Twitter

Creator:: Iman, Zahra
Abstract:: Social media sources such as Twitter represent a massively distributed social sensor over diverse topics ranging from social and political events to entertainment and sports news. However, due to the overwhelming volume of content, it can be difﬁcult to identify novel and signiﬁcant content within a broad topic in a...
Resource Type:: Masters Thesis

Enhancing Instructors’ Teaching Experience through Virtualization

Creator:: Patil, Ajinkya
Abstract:: In the current education environment, many instructors make use of some type of software, such as Visual Studio or a software library like OpenGL, in the classroom. Incorrect setup and configuration on an individual’s own system is a common problem when using these software tools. This thesis explores the difficulty...
Resource Type:: Masters Thesis

Incorporating User Feedback into Machine Learning Systems

Creator:: Das, Shubhomoy
Abstract:: Although machine learning systems are often effective in real-world applications, there are situations in which they can be even better when provided with some degree of end user feedback. This is especially true when the machine learning system needs to customize itself to the end user's preferences, such as in...
Resource Type:: Dissertation

Methods for Detection and Recovery of Out-of-Distribution Examples

Creator:: Ratzlaff, Neale J.
Abstract:: Deep neural networks currently comprise the backbone of many applications where safety is a critical concern, for example: autonomous driving and medical diagnostics. Unfortunately these systems currently fail to detect out-of-distribution (OOD) inputs and can be prone to making dangerous errors when exposed to them. In addition, these same systems...
Resource Type:: Masters Thesis

Representationally Robust and Scalable Learning over Relational Databases

Creator:: Picado Leiva, Jose Manuel
Abstract:: Learning novel concepts from relational databases is an important problem with applications in several disciplines, such as data management, natural language processing, and bioinformatics. For a learning algorithm to be effective, the input data should be clean and in some desired representation. However, real-world data is usually heterogeneous – the...
Resource Type:: Dissertation

The InclusiveMag Method: A Start Towards More Inclusive Software for Diverse Populations

Creator:: Mendez, Christopher
Abstract:: How can software practitioners assess whether their software supports diverse users? Although there are empirical processes that can be used to find “inclusivity bugs” piecemeal, what is often needed is a systematic inspection method to assess software’s support for diverse populations. To help fill this gap, this thesis introduces InclusiveMag,...
Resource Type:: Masters Thesis

Two Sides of a Coin: Adversarial-Based Image Privacy and Defending Against Adversarial Perturbations for Robust CNNs

Creator:: Rajabi, Arezoo
Abstract:: Emergence of highly accurate Convolutional Neural Networks (CNNs) with the capability to process large datasets, has led to their popularity in many applications, including safety/security-sensitive (e.g. disease recognition, self-driving cars). Despite the high accuracy of convolutional neural networks, they have been found to be susceptible to adversarial noise added to...
Resource Type:: Dissertation

ScholarsArchive@OSU

The Emergent Qualities of Diversity in Free and Open Source Software Communities: A Critical Review and Theoretical Discussion

Involving older adults in the design and development of free/open source software

Novel approaches to promoting end-user programming

Learning Topical Social Media Sensors for Twitter

Enhancing Instructors’ Teaching Experience through Virtualization

Incorporating User Feedback into Machine Learning Systems

Methods for Detection and Recovery of Out-of-Distribution Examples

Representationally Robust and Scalable Learning over Relational Databases

The InclusiveMag Method: A Start Towards More Inclusive Software for Diverse Populations

Two Sides of a Coin: Adversarial-Based Image Privacy and Defending Against Adversarial Perturbations for Robust CNNs

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