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of 10
pro vyhledávání: '"Jeremy Foxcroft"'
Publikováno v:
International Journal of Population Data Science, Vol 9, Iss 5 (2024)
Objectives Text classification models can be used to automatically categorize occupations and causes of death within historical documents. It is important to classify/code these categories as different words or textual descriptions could refer to the
Externí odkaz:
https://doaj.org/article/84cc0e20a1834103913e1ded48166205
Autor:
Jeremy Foxcroft, Luiza Antonie
Publikováno v:
International Journal of Population Data Science, Vol 9, Iss 5 (2024)
Introduction String similarity is central to textual record linkage, and is often calculated with Levenshtein distance or Jaro-Winkler distance. In polars-strsim, we leverage the Polars DataFrame interface to surpass all existing Python libraries in
Externí odkaz:
https://doaj.org/article/2c525dad08104bff90512111945fb783
Publikováno v:
International Journal of Population Data Science, Vol 7, Iss 3 (2022)
Introduction Linking the many decades of census data collected during Canada’s settlement allows researchers to investigate the movement patterns of early settlers, changes in regional demographics, and intergenerational mobility. This research lev
Externí odkaz:
https://doaj.org/article/985ff8fea0fd470981f13e1291df9b97
Publikováno v:
International Journal of Population Data Science, Vol 7, Iss 3 (2022)
Introduction A wide assortment of string similarity measures can be used to determine how similar two names are. A diverse set of discriminating and independent features for name similarity are important for classification during record linkage. A Si
Externí odkaz:
https://doaj.org/article/7aa8a45c7dfc47969d176fdc757a45eb
Autor:
Jeremy Foxcroft, Daniel Ashlock
Publikováno v:
ICGA Journal. 42:272-286
Recent trends in mathematics education emphasize discovery learning over drill. This has proven to be a bad idea in some cases, for the simple reason that practice is required to learn basic arithmetic skills. Drills in arithmetic skills can be made
Autor:
Shawki Areibi, Abeer Al-Hyari, Timothy Martin, Jeremy Foxcroft, Gary Grewal, David Noel, Hannah Szentimrey
Publikováno v:
ACM Transactions on Design Automation of Electronic Systems. 25:1-25
Placement for Field Programmable Gate Arrays (FPGAs) is one of the most important but time-consuming steps for achieving design closure. This article proposes the integration of three unique machine learning models into the state-of-the-art analytic
Publikováno v:
Proceedings of the Canadian Conference on Artificial Intelligence.
Retailers rely heavily on product matching to better serve their customers, and to improve their modelling and forecasting. Product matching refers to the process of identifying similar or identical products across different data sources. This is a c
Autor:
Jeremy Foxcroft, Ziad Abuowaimer, Gary Grewal, Dani Maarouf, Shawki Areibi, Anthony Vannelli, Timothy Martin
Publikováno v:
ACM Transactions on Design Automation of Electronic Systems. 23:1-33
Optimizing for routability during FPGA placement is becoming increasingly important, as failure to spread and resolve congestion hotspots throughout the chip, especially in the case of large designs, may result in placements that either cannot be rou
Publikováno v:
Advances in Artificial Intelligence ISBN: 9783030183042
Canadian Conference on AI
Canadian Conference on AI
Predicting if two names refer to the same entity is an important task for many domains, such as information retrieval, record linkage and data integration. In this paper, we propose to create name-embeddings by employing a Doc2Vec methodology, where
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd534e52fd69de291cb4aada14be21dc
https://doi.org/10.1007/978-3-030-18305-9_52
https://doi.org/10.1007/978-3-030-18305-9_52
Publikováno v:
ICMLA
Typically, the overall performance of a university professor is assessed based on three criteria: teaching, research and service. The teaching component is based on students' ratings and comments. However, comments and ratings are highly subjective,