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Filtering by: Creator Fino, Antonio Carlos Remove constraint Creator: Fino, Antonio Carlos Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science

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  • 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
    Full Text:
    : Investigating the Effects of Design Quality in OSS Projects Abstract approved: Carlos Jensen Anita Sarma

  • An Investigation of the Effects of Merge Conflicts on Collaborative Software Development

    Creator:
    Brindescu, Caius
    Abstract:
    Merge conflicts have long plagued software development. With larger and more dispersed teams comes greater risk of developers working on the same code at the same time. While merge conflicts are known to be painful, their exact impact on software is still largely unknown. Are merge conflicts an isolated problem,...
    Resource Type:
    Dissertation
    Full Text:
    Sarma Carlos Jensen Merge conflicts have long plagued software development. With larger and more

  • Hierarchical graphical models for activity recognition in videos

    Creator:
    Amer, Mohamed R.
    Abstract:
    This dissertation addresses the problem of recognizing human activities in videos. Our focus is on activities with stochastic structure, where the activities are characterized by variable space-time arrangements of actions, and conducted by a variable number of actors. These activities occur frequently in sports and surveillance videos. They may appear...
    Resource Type:
    Dissertation
    Full Text:
    particular, we develop a new, Monte Carlo Tree Search based inference of AOGs. Our theoretical and

  • Understanding Software Development and Testing Practices

    Creator:
    Hilton, Michael
    Abstract:
    A bad software development process leads to wasted effort and inferior products. In order to improve a software process, it must be first understood. In this work I focus on understanding software processes. The first process we seek to understand is Continuous Integration (CI). CI systems automate the compilation, building,...
    Resource Type:
    Dissertation
    Full Text:
    . Many thanks also go to my committee, Margaret Burnett, Carlos Jensen, Ron Metoyer, and Todd Palmer for

  • Interactive visualization of diversity in multivariate data sets unified across fields of study

    Creator:
    Pham, Tuan N. T.
    Abstract:
    The study of the diversity of multivariate objects shares common characteristics across disciplines, including ecology and organizational management. Nevertheless, experts in these two disciplines have adopted somewhat separate diversity concepts and analysis techniques, limiting the ability of potentially sharing and cross comparing these concerns. Moreover, while complex diversity data may...
    Resource Type:
    Dissertation
    Full Text:
    Carlos Jensen, and Professor James Coakley (GCR) for their encouragement and input. This dissertation

  • Eliciting informal specifications from scientific modelers for evaluation and debugging

    Creator:
    Bogart, Christopher
    Abstract:
    Professional software engineers have an arsenal of techniques such as unit testing and assertions to check their specifications, but these techniques require tools, motivation, experience and training that programmers without professional software engineering training may not have. As a result, professionals in other fields, such as scientific modelers, face greater...
    Resource Type:
    Dissertation
    Full Text:
    their feedback and encouragement: Martin Erwig, Carlos Jensen, Alex Groce, Christopher Sanchez, and

  • Local and Global Explanations for Deep Image Classification via Structured Attention Graphs

    Creator:
    Shitole, Vivswan
    Abstract:
    Attention maps are popular tools of explaining the decisions of convolutional neural net-works (CNNs) for image classification. Typically, for each image of interest, a single attention map is produced, which assigns weights to pixels based on their importance to the classification. We argue that a single attention map provides an...
    Resource Type:
    Masters Thesis

  • Toward Disentangling the Activations of the Deep Networks via Low-dimensional Embedding and Non-negative Factorization

    Creator:
    Khorram, Saeed
    Abstract:
    In this thesis, we introduce a novel Explanation Neural Network (XNN) to explain the predictions made by a deep network. The XNN works by embedding a high-dimensional activation vector of a deep network layer non-linearly into a low-dimensional explanation space while retaining faithfulness i.e., the original deep learning predictions can...
    Resource Type:
    Masters Thesis

  • How Should A Deaf Car Drive?

    Creator:
    Grant, Denue, Jr.
    Abstract:
    This thesis seeks to determine whether a self-driving car's behavior should depend on the hearing status of its passengers: namely, hard-of-hearing (including deaf) or hearing. It is believed that auditory deprivation provokes adaptations in visual attention. These adaptations may lead to atypical movement patterns that can translate to different driving...
    Resource Type:
    Masters Thesis

  • Coupled Compressive Sensing : Sequential Reinforcement Approach

    Creator:
    De Silva, Shashini A.
    Abstract:
    We consider multiple Compressive Sensing (CS) problems wherein the supports of signal vectors of CS problems are restricted to satisfy a collection of joint logical constraints, which we refer to as coupling constraints. We consider a case where the coupling constraints are encoded in a graph and present a sequential...
    Resource Type:
    Masters Thesis
    Full Text:
    100 Monte Carlo runs per each possible combination of subgraphs. Table 6.1 presents support recovery

  • Newcomers’ Barriers. . . Is That All? An Analysis of Mentors’ and Newcomers’ Barriers in OSS Projects

    Creator:
    Balali, Sogol
    Abstract:
    Newcomers’ seamless onboarding is important for open collaboration communi- ties, particularly those that leverage outsiders’ contributions to remain sustainable. Nevertheless, previous work shows that OSS newcomers often face several barriers to contribute, which lead them to lose motivation and even give up on contributing. A well-known way to help newcomers...
    Resource Type:
    Masters Thesis

  • Object detection in biological images using a search-based framework

    Creator:
    Lam, Michael
    Abstract:
    This thesis addresses a basic problem in computer vision, that of semantic labeling of images. Our work is aimed at object detection in biological images for evolutionary biology research. In particular, our goal is to detect nematocysts in Scanning Electron Microscope (SEM) images. This biological domain presents challenges for existing...
    Resource Type:
    Masters Thesis
    Full Text:
    . One class of search-based structured prediction approaches relies on Monte Carlo Markov Chains (MCMC

  • Bayesian Reinforcement Learning Based Control For Ocean Wave Energy Conversion

    Creator:
    Ghorban Zadeh, Leila
    Abstract:
    This work – in which three peer-reviewed academic papers are presented – addresses the ap-plication of Bayesian Reinforcement Learning to the control of a class of ocean wave energy conversion systems. The first paper presents a comparison of a Reinforcement-Learning (RL) based wave energy converter controller against standard Reactive Damping...
    Resource Type:
    Dissertation
    Full Text:
    continuous controllers [15, 9, 16, 17]. Monte-Carlo techniques are de- ployed in many policy gradients to

  • Investigating Time-Digital-Converters for Hardware Security in FPGAs

    Creator:
    Lytikov, Daniil
    Abstract:
    In this comprehensive thesis, we present a series of experiments and findings that highlight the critical importance of TDC Voltage Sensors in the hardware security domain. Our research begins by introducing a novel self-calibrating module, demonstrating its efficiency through preliminary calibration tests. We then delve into the Peak-to-Peak tests, which...
    Resource Type:
    Masters Thesis

  • Foreground signature extraction for a non-linear hyperspectral mixing model

    Creator:
    Hollis, Jarrod
    Abstract:
    Hyperspectral images consist of intensity measurements associated with a large number of EM wavelengths per pixel. When a pixel contains a single material, the measurements of the pixel match the spectral signature of the material. When multiple materials are present in a single pixel, spectral mixing occurs, and signatures of...
    Resource Type:
    Masters Thesis

  • High Tech, Low Results : The Role of Technology in the US’s Current Narcoterrorism War in the Andean Region and Why it is Failing

    Creator:
    Schönau-Taylor, Jesse
    Abstract:
    This paper studies the current counternarcotics methods and the electronics technology used by the United States and Colombian governments to combat narcoterrorism in the Andean region. The efficiency and efficacy of these methods with the use of electronics technology are analyzed to determine if they are successful. The current counternarcotics...
    Resource Type:
    Undergraduate Thesis

  • Variations Foraging

    Creator:
    Srinivasa Ragavan, Sruti
    Abstract:
    Information Foraging Theory (IFT) has successfully explained how people seek information in various domains, in turn, informing the design of several tools and information-intensive environments. However, prior research has not explored foraging in the presence of several, very similar variants of the same artifact. Such variants are commonplace in several...
    Resource Type:
    Dissertation

  • Active Learning from Examples, Queries and Explanations

    Creator:
    Hamidi-Haines, Mandana
    Abstract:
    Humans are remarkably efficient in learning by interacting with other people and observing their behavior. Children learn by watching their parents’ actions and mimic their behavior. When they are not sure about their parents demonstration, they communicate with them, ask questions, and learn from their feedback. On the other hand,...
    Resource Type:
    Dissertation

  • Generative Models Meet Explainable AI and Long-Tail Learning: from Attribution Maps to Image Synthesis

    Creator:
    Khorram, Saeed
    Abstract:
    The advancement of artificial intelligence (AI) has led to transformative developments across multiple sectors, fostering innovation and redefining our interactions with technology. As AI matures and becomes integrated into society, it offers numerous opportunities to address global challenges and revolutionize a wide array of human endeavors. These advances are driven...
    Resource Type:
    Dissertation

  • 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