Computer Science: Recent submissions

  • Where Can We Put a New Visual Aid Solution? 
    John, Dillon (2021)
    We need to design an experiment to identify optimal size mobility support can be on the body before the solution becomes uncomfortable or unsafe. This data would help future developers create optimal solutions. Researchers ...
  • Limitations of Genomic Analysis on Novel Species 
    Contreras-Orendain, Luis (2021)
    For widely studied species such as humans, fruit flies, and mice, there are many sequenced genomes, but for novel species, only afew or a singular processed genome is available. Being able to study novel species is important ...
  • Identity and Computer Science: A Mismatch? 
    Lee, Steve (2021)
    At the bachelor's level, female students, Black students, and Indigenous students pursue computer science degrees at disproportionately lower rates. For example, in recent years, approximately 20% of bachelors degrees in ...
  • Human Skin as an Interface: Attitudes & Preconceptions 
    Fatima, Noor (2021)
    With the recent advancements in technology, on-body projections have become a topic of interest in the field of Human-Computer Interaction (HCI). Scientists have been able to successfully develop prototypes that leverage ...
  • Inclusivity and Transparency in Machine Learning Model Auditing 
    Byars, Monique (2021)
    The goal of this literature review is to highlight the importance of inclusivity in auditing algorithms. Machine Learning (ML) models affect many aspects of our lives such as providing us with relevant ads or predicting ...
  • Testing the Predictive Power of Information Access in a Social Network 
    Broadman, Zachary (2021)
    Information access is a measure of the likelihood that a particular node will receive information in a social network. This measure is important because having access to accurate information helps us make important decisions ...
  • The Effect of Linguistic Typology on Transfer Learning of Morphology 
    Roe, Conor Stuart (2020)
    In the SIGMORPHON 2019 shared task 1, multiple teams attempted for the first time to leverage transfer learning to build more accurate models of natural language morphology with small amounts of target language data, with ...
  • Building a Linguistics based Loss Function for Dialogue Generation 
    St. Clair, Jack (2020)
    This paper will investigate different loss functions used for various natural language processing (NLP) machine learning tasks. These loss functions have proven their worth in the area of machine translation but they have ...
  • Analyzing Energy Efficiency in Neural Networks 
    Susai, Silvia (2020)
    Recent advances in deep learning have led to the development of state-of-the-art models with remarkable accuracy; however, previous work has shown that these results incur a high environmental cost due to their significant ...
  • Hybrid Hexagonal/Classical Tiling for GPUs with Chapel Iterators 
    Wu, Katherine (2020)
    Iterative stencil computations are important in scientific computing and in the mobile domain among others. Tiling is an important method to improve computational efficiency in GPUs, enhancing data reuse and cache memory ...
  • Deep Networks for Population Genetics Data Generation 
    Wang, Zhanpeng (2020)
    As the population genetic database such as 1000 Genomes Dataset (Consortium et al. 2015) grows in size every day, it becomes more and more challenging to understand the large flow of the genetic information. Recent works ...
  • Generate better data for population genetics using generative adversarial nets 
    Wang, Jiaping (2020)
    For the past years, researches in population genetics, a subfield of biology studying the variation of genes in a population with respect to space and time, rely heavily on simulated data. That is to say, analysis of the ...
  • Interpreting Machine Learning Models used in Population Genetics 
    Thiel, Pablo (2020)
    Many problems in population genetics are well suited to supervised machine learning (ML) methods, which can leverage characteristics like high input dimensionality to result in considerable performance gains over traditional ...
  • Dynamic Balancing of Scientific HPC Applications on Institutional Clusters 
    Lyle, Mac (2020)
    In an age of ever expanding data sets, there is an increasing demand for high performance computing (HPC) in the scientific community. In order to maximize the performance of existing hardware, researchers have been looking ...
  • Promoting Universal Design in Online Shopping Using Convolutional Neural Networks 
    Robison, Kendall (2020)
    People take for granted how much they use their vision when they shop, and the current online tools are not sufficiently supported or developed. We explore approaches to provide a more accurate and pleasant user experience. ...
  • Automated Correctness Checking of Iteration Space Transformations Expressed As Chapel Iterators 
    Mohr, Henry (2020)
    In certain types of programs, re-ordering their execution can speed them up by optimizing memory accesses and parallelism. However, these re-orderings are constrained by the fact that updates depend on the results of earlier ...
  • Active Meta-Learning 
    Nicholas, Gareth (2020)
    This thesis outlines the methods used in machine learning to generate models which are effective on a variety of tasks. We begin with a quick overview of the field of machine learning, covering the topics necessary to ...
  • Tools for Teaching Theoretical Computer Science 
    Lowenstein, Sam (2020)
    Teaching students the concepts and techniques for understanding theoretical computer science is an essential part of any computer science curriculum, yet thus far educators are struggling to help their students master this ...
  • Statistical Models for Inclusive Measurements of Student Engagement 
    Rosenman, Alison (2020)
    In the technology industry and in academia, technologists frequently use the term "engagement" as one metric to measure a user's experience. Within the sub-field of Human-Computer Interaction (HCI), recently-published ...
  • Automatic Correctness Checking for Affine Constrained Loop Tiling Transformations 
    Rivera, Russell (2020)
    The growth in speed seen in modern processors over the past couple decades has created a need for programs that carefully manage the data fed to CPUs. Often, it is the case the processors are so fast, the memory used to ...

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