Search Constraints

Start Over
Filtering by: Creator Lam, Khiem Chi Remove constraint Creator: Lam, Khiem Chi Degree Field Computer Science Remove constraint Degree Field: Computer Science

Search Results

  • 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:
    Framework AN ABSTRACT OF THE THESIS OF Michael Lam for the degree of Master of Science in Computer

  • How do Programmers Forage through Variants? Modeling Hierarchical Foraging and Changelogs

    Creator:
    Pandya, Bhargav Chandravadan
    Abstract:
    Complex information environments are often organized as hierarchies. However, computational models of Information Foraging Theory (IFT) have almost entirely ignored this fact. Models and tools for predicting programmer navigations have ignored people’s foraging behavior across hierarchies —called hierarchical foraging. Without modeling hierarchical foraging, our ability to build tools to support...
    Resource Type:
    Masters Thesis
    Full Text:
    the web [41]. Chi et al. built WUFIS to analyze the usability of websites by simulating users’ scent

  • How does AAR/AI Support Problem Solvers with Diverse Behaviors and Cognitive Styles?

    Creator:
    Dikkala, Rupika
    Abstract:
    "What’s wrong with this AI?" Explainable AI (XAI) researchers are moving beyond explaining an AI’s actions, to helping users detect an AI’s failures. However this detection may not be enough—for actionability, we often need to pinpoint which part failed. We investigate how AAR/AI, a structured assessment process, supports users with...
    Resource Type:
    Masters Thesis
    Full Text:
    studies in this work: Roli Khanna, Jed Irvine, Kin-Ho Lam, Caleb Matthews, Sai Raja, Zeyad Shureih

  • Active Contour Models

    Creator:
    Lee, Taein
    Abstract:
    Active contour models have been widely applied to image segmentation and analysis. It has been successfully used in contour detection for object recognition, computer vision, computer graphics, and biomedical image processing such as X-ray, MRI and Ultrasound images. The energy-minimizing active contour models or snakes were developed by Kass, Witkin...
    Resource Type:
    Capstone Project
    Full Text:
    3, were proposed by Choi, Lam and Siu [5]. A new energy term called “Adaptive forces” is added into

  • Assessing and Finding Faults in AI: Two Empirical Studies

    Creator:
    Khanna, Roli
    Abstract:
    With the advent of Artificial Intelligence (AI) in every sphere of life in today's day and age, it has become increasingly important for non-AI experts to be able to comprehend the underlying logic of how AI systems work, assess them and find faults in these systems, particularly when they are...
    Resource Type:
    Masters Thesis
    Full Text:
    faculty. 1[60]: Theresa Mai, Roli Khanna, Jonathan Dodge, Jed Irvine, Kin-Ho Lam, Zhengxian Lin, Nicholas

  • Elucidating Computational Narratives to Facilitate Code Comprehension

    Creator:
    Chattopadhyay, Souti
    Abstract:
    Programming is integrated across the workflow of multiple domains where end-user programmers, those who need to program as a means to an end, regularly need to code. In the modern setting of collaborative development, end-user programmers have to interpret the intentions behind existing code to contribute and build solutions to...
    Resource Type:
    Dissertation
    Full Text:
    Prasad, Austin Z. Henley, Anita Sarma, Titus Barik, and presented at CHI 2020. • Chapter 3 presents the

  • Explanations and Processes to Enable Humans to Assess AI with Respect to Manipulable Properties

    Creator:
    Dodge, Jonathan E.
    Abstract:
    Assessing AI systems is difficult. Humans rely on AI systems in increasing ways, both visible and invisible, meaning a variety of stakeholders need a variety of assessment tools (e.g., a professional auditor, a developer, and an end user all have different needs). We posit that it is possible to provide...
    Resource Type:
    Dissertation
    Full Text:
    agent design; Minsuk Kahng, for improving the visualizations in our interfaces; Sean Penney, Kin-ho Lam

  • Visual Analysis of Attorney Case Portfolios Over Time

    Creator:
    Nambirajan, Surendar
    Abstract:
    While individual portfolio diversity analysis is a well-studied problem in visualization, the visual analysis of individual or groups of portfolios, over time, has received little attention. Such analysis, however, is important to researchers who are interested in better understanding portfolio management behavior of experts as well as novices. We conducted...
    Resource Type:
    Masters Thesis

  • Adding context and value to online security ratings by combining heuristics with community based ratings

    Creator:
    Ayyavu, Prashanth
    Abstract:
    The Internet is growing rapidly in terms of websites, users and uses. People use the Internet for reference, shopping, social networking, communications, business and much more. Though the Internet is useful, there are many risks associated with its use, like malicious websites, identity theft, hateful content and fraudulent practices. Online...
    Resource Type:
    Masters Thesis
    Full Text:
    ). We performed Pearson’s chi-square test to check whether the difference is statistically significant

  • Pedagogical Content Knowledge for Teaching Inclusive Design

    Creator:
    Oleson, Alannah L.
    Abstract:
    Inclusive design is important in today's software industry, but there is little research about how to teach it. In collaboration with 9 teacher-researchers across 8 U.S. universities and more than 400 computer and information science students, we embarked upon an Action Research investigation to gather insights into the pedagogical content...
    Resource Type:
    Honors College Thesis
    Full Text:
    ... some of those videos I share with my students.” T5N:“It was really helpful to assign the CHI paper

  • Activity recognition in desktop environments

    Creator:
    Shen, Jianqiang
    Abstract:
    Knowledge workers are struggling in the information flood. There is a growing interest in intelligent desktop environments that help knowledge workers organize their daily life. Intelligent desktop environments allow the desktop user to define a set of “activities” that characterize the user’s desktop work. These environments then attempt to identify...
    Resource Type:
    Dissertation

  • Designing and understanding information retrieval systems using collaborative filtering in an academic library environment

    Creator:
    Jung, Seikyung
    Abstract:
    Accessing information on the Web has become ingrained into our daily lives, and we seek information from many different sources, including conference and journal publications, personal web pages, and others. Increasingly, web-based information retrieval systems such as web-based search engines, library on-line catalog systems, and subscription-based federated search systems are...
    Resource Type:
    Dissertation

  • jTutors: A Web-Based Tutoring System for Java APIs

    Creator:
    Dahotre, Aniket
    Abstract:
    For building robust software applications, it is important for the software engineer to make efficient use of the available building blocks. Learning the basic language constructs is only the first step in this process. It is becoming increasingly important for software engineers, especially students, to get acquainted with the available...
    Resource Type:
    Capstone Project
    Full Text:
    , Lam, Madhura, Prashanth, Sean, Shalini, and Vignesh for the great combined effort on various

  • Toward associating slot names with meanings

    Creator:
    Shih, Tsun-dah
    Abstract:
    The paper describes research on the representation of knowledge. The goal is to develop a formalism which can be used for the testing of hypotheses on the nature of human understanding and as a foundation or artificial intelligence programs. The ideas expressed herein are implemented in a program which converses...
    Resource Type:
    Capstone Project

  • An alternative architecture for performing basic computer arithmetical operations

    Creator:
    Djang, Kevin
    Abstract:
    The arithmetic portions of almost all modern processor architectures are of very similar design. We use the term "traditional" to describe this design, the primary characteristics of which are native support for integer and floating-point number types and special disjoint instructions and hardware for each supported type. Decades of refinement...
    Resource Type:
    Masters Thesis
    Full Text:
    naming convention for TEX, We pronounce "XLU" as clue, giving X the X ("chi") sound. 3 2. CISC

  • Motivating programmers through karma systems

    Creator:
    Cedeno, Jose
    Abstract:
    Keeping FOSS developers motivated is a challenging problem, and their motivation levels can affect the team's productivity and satisfaction, leading to higher or lower productivity. Using reputation systems as a motivator has become the de-facto standard for many online communities, rewarding user's activity through badges of honor or achievement levels....
    Resource Type:
    Masters Thesis

  • 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

  • Visual object discovery and understanding

    Creator:
    Yuan, Jialin
    Abstract:
    Learning to recognize objects is a fundamental and essential step in human perception and understanding of the world. Accordingly, research of object discovery across diverse modalities plays a pivotal role in the context of computer vision. This field not only contributes significantly to enhancing our understanding of visual information but...
    Resource Type:
    Dissertation

  • 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:
    introduced by Chi [28] and later refined by Card et al. [23]—models the visualization process as dis- crete

  • Learning with Partial Supervision for Clustering and Classification

    Creator:
    Pei, Yuanli
    Abstract:
    In the field of machine learning, clustering and classification are two fundamental tasks. Traditionally, clustering is an unsupervised method, where no supervision about the data is available for learning; classification is a supervised task, where fully-labeled data are collected for training a classifier. In some scenarios, however, we may not...
    Resource Type:
    Dissertation

  • Parsing with Recurrent Neural Networks

    Creator:
    Cross, James Henry, III
    Abstract:
    Machine learning models for natural language processing have traditionally relied on large numbers of discrete features, built up from atomic categories such as word forms and part-of-speech labels, which are considered completely distinct from each other. Recently however, the advent of dense feature representations coupled with deep learning techniques has...
    Resource Type:
    Dissertation

  • Machine Learning Methods for Computational Sustainability

    Creator:
    Liu, Liping
    Abstract:
    Maintaining the sustainability of the earth’s ecosystems has attracted much attention as these ecosystems are facing more and more pressure from human activities. Machine learning can play an important role in promoting sustainability as a large amount of data is being collected from ecosystems. There are at least three important...
    Resource Type:
    Dissertation

  • A browser-based tool for designing query interfaces to scientific databases

    Creator:
    Newsome, Mark Ronald, 1960-
    Abstract:
    Scientists in the biological sciences need to retrieve information from a variety of data collections, traditionally maintained in SQL databases, in order to conduct research. Because current assistant tools are designed primarily for business and financial users, scientists have been forced to use the notoriously difficult command-line SQL interface, supplied...
    Resource Type:
    Dissertation