Computer Science: Recent submissions

  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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. ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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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