Institutional Scholarship

Browsing Computer Science by Title

Browsing Computer Science by Title

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  • Cueto, Paulina (2014)
    Cis-Regulatory Modules (CRMs) are the portion of DNA that initiates gene expression. Gene expression is the process through which the body turns DNA into functions and cells within an organism. In this paper I build upon ...
  • 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 ...
  • Xu, Yongxin (2021)
    Population genetics is a study of genetic variations in populations and evolutionary forces that explain these variations. Relevant studies are usually based on simulated genomic data in matrix form. Many existing methods, ...
  • Su, Amberley (Zhan) (2021)
    This thesis is about analyzing the different approaches to verb prediction in machine translation, mainly between languages with different grammar structures. We will introduce the importance of verb prediction in translation ...
  • 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 ...
  • Rybeck, Gabriel (2016)
    Rapid advancements in the use of big data to make automated decisions may result in indirect discrimination. For example, Larson et al. (2015) find that the Princeton Review charges different prices by zip code resulting ...
  • Marx, Charles (2020)
    Methods for measuring fairness in machine learning often operate by quantifying the relationship between some protected feature (e.g., race or gender) and the predictions of a model. When we are interested in understanding ...
  • Soulanille, Matthew (2019)
    Faceted execution is a technique for dynamic information flow control that allows programmers to program in a policy-agnostic manner. Racets uses macros to extend Racket with support for faceted execution. We present 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 ...
  • Feinberg, Jason (2016)
    The nearest neighbor problem is one of the most important problems in computational geometry. Many of the solutions to this problem suffer from the "curse of dimensionality" that makes the runtime increase exponentially ...
  • Shibulal, Shreyas (2015)
    To achieve improved real-time performance, hardware-based speech recognition systems have emerged in recent years. While past efforts have demonstrated drastic improvements over software-based speech recognition systems, ...
  • Mendelsohn, Richard (2015)
    The goal of this thesis is to create a suitable standard for evaluating lazy evaluation techniques, and to use this standard to compare existing methods of lazy evaluation in C++. For our standard we will create a rigorous ...
  • Paris, Tomas (2021)
    Recurrent Neural Networks (RNNs) are successful at modeling languages because of their ability to recognize patterns over an undefined input length using their internal memory. However, the data kept in their memory decays ...
  • Cassidy, Connor (2017)
    This paper presents a comprehensive survey of the methodologies and techniques used in opinion mining. Opinion mining, also known as sentiment analysis, refers to the use of natural language processing, text analysis, and ...
  • Zhang, Mingxuan (Kira) (2021)
    Convolutional Neural Networks (CNNs) is one of the most efficient approaches to analyze population genetics data and draw conclusions on the species' evolution. Population genetics is one approach people take to learn about ...
  • 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 ...
  • Rasiel, Jack (2017)
    This thesis is comprised of two primary sections: a literature review and a research contribution. In the literature review, I first introduce the problem of robotic manipulation and grasping, and give context for why it ...
  • Tien, Nora (2017)
    A literature review of the current methods of machine translation, in particular as they relate to the open problem of translating informal language.
  • Lo, Ethan (2011)
    Missing data is found in virtually every large database, and can be a significant challenge for researchers who want to create analyses on the data. Several approaches have been developed to deal with missing data, but ...

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