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Mouman, Nada (author)
Machine learning (ML) algorithms have been used frequently in the past years for Software Engineering tasks.<br/>One of the popular tasks researchers use is method name prediction, which helps them generate an identifier for methods with ML models such as Code2Seq.<br/>This model represents code snippets as Abstract Syntax Trees (AST) and...
bachelor thesis 2022
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van Tussenbroek, Thomas (author)
Authorship identification is often applied to large documents, but less so to short, everyday sentences. The ability of identifying who said a short line could provide help to chatbots or personal assistants. This research compares performance of TF-IDF and fastText when identifying authorship of short sentences, by applying these feature...
bachelor thesis 2020
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Happel, David (author)
Using transcripts of the TV-series FRIENDS, this paper explores the problem of predicting the location in which a sentence was said. The research focuses on using feature extraction on the sentences, and training a logistic regression model on those features. Specifically looking at the differences in performance between using ELMo and TF-IDF...
bachelor thesis 2020
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Oudkerk, Thijs (author)
Unplanned maintenance is a costly factor in aircraft operations. Predictive Maintenance aims at reducing the surprise effect of unplanned maintenance and thereby its associated cost. A variety of statistical models are used to estimate the remaining life, as well as sensors to gauge component condition. The application to statistical models of...
master thesis 2019
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Willis, J.F. (author)
Organizers of STRP Art and Technology Festival want to enhance the festival experience of visitors whilst also learning more about these visitors. The proposed solution is a tag-based recommender system, where the feedback received from visitors will allow STRP to learn more about how visitors perceive art pieces and in turn provide visitors...
master thesis 2011
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