Browsing by Subject "Machine learning"

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  • Abstractive multi-document summarization - paraphrasing and compressing with neural networks 
    Egonmwan, Elozino Ofualagba; University of Lethbridge. Faculty of Arts and Science (Lethbridge, Alta. : University of Lethbridge, Dept. of Mathematics and Computer ScienceArts and ScienceDepartment of Mathematics and Computer Science, 2020)
    This thesis presents studies in neural text summarization for single and multiple documents.The focus is on using sentence paraphrasing and compression for generating fluent summaries, especially in multi-document summarization ...
  • Analyzing 50 kHz rats’ vocalizations using machine learning approaches 
    Yazdani Sangdeh, Shayan; University of Lethbridge. Faculty of Arts and Science (Lethbridge, Alta. : University of Lethbridge, Dept. of NeuroscienceArts and ScienceDepartment of Neuroscience, 2021)
    Recent studies propose different categorization schemes for rats’ 50 kHz vocalizations. This study attempted to differentiate these categories based on spectrographic features extracted manually and using convolutional ...
  • Analyzing and enhancing music mood classification : an empirical study 
    Shahmansouri, Houman; University of Lethbridge. Faculty of Arts and Science (Lethbridge, Alta : University of Lethbridge, Dept. of Mathematics and Computer ScienceArts and ScienceDepartment of Mathematics and Computer Science, 2016)
    In the computer age, managing large data repositories is one of the common challenges, especially for music data. Categorizing, manipulating, and refining music tracks are among the most complex tasks in Music Information ...
  • Applying deep convolutional neural networks to the dragon boat partition problem 
    Regnier, Brett; University of Lethbridge. Faculty of Arts and Science (Lethbridge, Alta. : University of Lethbridge, Dept. of Mathematics and Computer ScienceArts and ScienceDepartment of Mathematics and Computer Science, 2021)
    We investigate approximating the Dragon Boat Partition problem, a practical real-worldvariant of the Partition problem. A team of dragon boat participants must be partitionedwith an approximately balanced arrangement ...
  • An approach for measuring the software modularity based on the bursty evolution of functional dependencies 
    Tedlapu, Ajay; University of Lethbridge. Faculty of Arts and Science (Lethbridge, Alta. : University of Lethbridge, Dept. of Mathematics and Computer ScienceArts and ScienceDepartment of Mathematics and Computer Science, 2019)
    Modular Design of a software system is one of the parameters which defines the complexity of a software system. If the software is built as one whole module, then it makes testing a long process. Also, updating the software ...
  • CASTR: A Web-based Tool for Creating Bug Report Assignment Recommenders 
    Devaiya, Disha Thakarshibhai; University of Lethbridge. Faculty of Arts and Science (Lethbridge, Alta. : University of Lethbridge, Dept. of Mathematics and Computer ScienceArts and ScienceDepartment of Mathematics and Computer Science, 2019)
    Large software development projects receive a large number of bug reports every day. Bug triage is a process where issues are screened and prioritized. Bug triage takes significant time and resources. For reducing the ...
  • Code authorship attribution using content-based and non-content-based features 
    Bayrami, Parinaz; University of Lethbridge. Faculty of Arts and Science (Lethbridge, Alta. : University of Lethbridge, Dept. of Mathematics and Computer ScienceArts and ScienceDepartment of Mathematics and Computer Science, 2021)
    Machine learning approaches are widely used in natural language analysis. Previous research has shown that similar techniques can be applied in the analysis of computer programming (artificial) languages. In this thesis, ...
  • Computer program complexity and its correlation with program features and sociolinguistics 
    Alam, Sowkat; University of Lethbridge. Faculty of Arts and Science (Lethbridge, Alta. : University of Lethbridge, Dept. of Mathematics and Computer ScienceArts and ScienceDepartment of Mathematics & Computer Science, 2021)
    Machine learning techniques have been widely used to understand the use of various sociolinguistic characteristics. These techniques can also be applied to analyze artificial languages. This research focuses on the influence ...
  • Evaluating an assistant for creating bug report assignment recommenders 
    Anvik, John (Arts and ScienceDepartment of Mathematics & Computer ScienceUniversity of Lethbridge, 2016)
    Software development projects receive many change requests each day and each report must be examined to decide how the request will be handled by the project. One decision that is frequently made is to which software ...
  • Investigating model explanation of bug report assignment recommenders 
    Omee, Farjana Yeasmin; University of Lethbridge. Faculty of Arts and Science (Lethbridge, Alta. : Dept. of Mathematics and Computer ScienceArts and ScienceDepartment of Mathematics and Computer Science, 2022)
    Software projects receive a lot of bug reports, and each bug report needs to be triaged. An objective of the bug report triaging process is to find an appropriate developer who can fix the reported bug. As this process ...
  • Remote sensing of boreal wetlands 2: methods for evaluating boreal wetland ecosystem state and drivers of change 
    Chasmer, Laura; Mahoney, Craig; Millard, Koreen; Nelson, Kailyn; Peters, Daniel; Merchant, Michael; Hopkinson, Christopher; Brisco, Brian; Niemann, Olaf; Montgomery, Joshua; Devito, Kevin; Cobbaert, Danielle (MDPIArts and ScienceDepartment of Chemistry and BiochemistryUniversity of LethbridgeAlberta Environment and ParksCarleton UniversityEnvironment and Climate Change CanadaDucks Unlimited CanadaCanada Centre for Mapping and Earth ObservationUniversity of VictoriaUniversity of Albertahttps://doi.org/10.3390/rs12081321, 2020)
    The following review is the second part of a two part series on the use of remotely sensed data for quantifying wetland extent and inferring or measuring condition for monitoring drivers of change on wetland environments. ...
  • Star bi-coloring of bipartite graphs 
    Hasan, Ahmed Shoeb Al; University of Lethbridge. Faculty of Arts and Science (Lethbridge, Alta. : University of Lethbridge, Dept. of Mathematics and Computer ScienceArts and ScienceDepartment of Mathematics & Computer Science, 2019)
    Evaluation of the Jacobian is the most computationally expensive operation while solving a non-linear system. Knowledge of the sparsity pattern in advance reduces the computational cost. Bi-directional partitioning to ...
  • Transformer-based multi-hop question generation 
    Emerson, John Robert; University of Lethbridge. Faculty of Arts and Science (Lethbridge, Alta. : University of Lethbridge, Dept. of Mathematics and Computer ScienceArts and ScienceDepartment of Mathematics and Computer Science, 2022)
    Question generation is the parallel task of question answering, where given an input context and, optionally, an answer, the goal is to generate a relevant and fluent natural language question. Although recent works on ...
  • Visual representation of bug report assignment recommendations 
    Bhuyan, Shayla Azad; University of Lethbridge. Faculty of Arts and Science (Lethbridge, Alta. : University of Lethbridge, Dept. of Mathematics and Computer ScienceArts and ScienceDepartment of Mathematics and Computer Science, 2019)
    Software development projects typically use an issue tracking system where the project members and users can either report faults or request additional features. Each of these reports needs to be triaged to determine such ...