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Skip to Search Results- 11074Gruhn, Dr. Ruth
- 8531Bryan, Dr. Alan L.
- 5383Hill Times Publishing
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- 4642Stock exchanges--Canada--Tables--Periodicals
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- 34495Graduate and Postdoctoral Studies (GPS), Faculty of
- 34495Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
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- 11157Anthropology, Department of/Bryan/Gruhn Archaeology Collection
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2021
Viggiato, M., Lin, D., Hindle, Abram, Bezemer, C.P.
Sentiment analysis is a popular technique to identify the sentiment of a piece of text. Several different domains have been targeted by sentiment analysis research, such as Twitter, movie reviews, and mobile app reviews. Although several techniques have been proposed, the performance of current...
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What Determines Municipal Renewable Energy Development? Insights From a Mixed-Methods Study of Municipalities in Alberta
DownloadFall 2021
This thesis contributes to energy social sciences, examining the potential of municipal renewable energy projects and employing a novel theoretical framework intersecting the theory of planned behaviour and transition theory. I site this work in Alberta, a province with a carbon intensive energy...
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2019
Bangash, A.A., Sahar, H., Chowdhury, S., Wong, A.W., Hindle, Abram, Ali, K.
Machine learning, a branch of Artificial Intelligence, is now popular in software engineering community and is successfully used for problems like bug prediction, and software development effort estimation. Developers' understanding of machine learning, however, is not clear, and we require...
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2024-10-29
Jacobs, Adriana., Markle, Josh.
Poster presented at the 2024 Undergraduate Research Celebration and Awards Ceremony in the Faculty of Education
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2015
Pang, C., Hindle, Abram, Adams, B., Hassan, A.E.
Traditionally, programmers received a range of training on programming languages and methodologies, but they rarely receive training on software energy consumption. Yet, the popularity of mobile devices and cloud computing requires increased awareness of software energy consumption. On mobile...