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pro vyhledávání: '"Puts, Marco"'
It is important for official statistics production to apply ML with statistical rigor, as it presents both opportunities and challenges. Although machine learning has enjoyed rapid technological advances in recent years, its application does not poss
Externí odkaz:
http://arxiv.org/abs/2409.04365
Online platform businesses can be identified by using web-scraped texts. This is a classification problem that combines elements of natural language processing and rare event detection. Because online platforms are rare, accurately identifying them w
Externí odkaz:
http://arxiv.org/abs/2407.06212
Autor:
Puts, Marco J. H., Daas, Piet J. H.
Binary classifiers trained on a certain proportion of positive items introduce a bias when applied to data sets with different proportions of positive items. Most solutions for dealing with this issue assume that some information on the latter distri
Externí odkaz:
http://arxiv.org/abs/2102.08659
Autor:
Sun, Chang, Ippel, Lianne, Wouters, Birgit, van Soest, Johan, Malic, Alexander, Adekunle, Onaopepo, Berg, Bob van den, Puts, Marco, Mussmann, Ole, Koster, Annemarie, van der Kallen, Carla, Townend, David, Dekker, Andre, Dumontier, Michel
It is widely anticipated that the use of health-related big data will enable further understanding and improvements in human health and wellbeing. Our current project, funded through the Dutch National Research Agenda, aims to explore the relationshi
Externí odkaz:
http://arxiv.org/abs/1812.00991
Akademický článek
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Publikováno v:
AStA Wirtschafts- und Sozialstatistisches Archiv; Dec2023, Vol. 17 Issue 3/4, p195-221, 27p
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems; February 2024, Vol. 35 Issue: 2 p2436-2447, 12p
Akademický článek
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Autor:
Puts, Marco, Daas, Piet
Publikováno v:
Journal of Official Statistics (JOS); Jun2024, Vol. 40 Issue 2, p348-351, 4p
Autor:
Puts, Marco, Daas, Piet
Publikováno v:
The Survey Statistician, 84, 12-17. International Association of Survey Statisticians (IASS)
Artificial Intelligence methods enable the extraction of information from large amounts of data. Machine learning is a sub field of Artificial Intelligence. In this paper, Artificial Intelligence and Machine Learning are introduced and discussed in t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=narcis______::205accb66dd8438c07a4e34087762671
https://research.tue.nl/nl/publications/4bb26c89-a177-4b3a-9b7e-19465c73ff83
https://research.tue.nl/nl/publications/4bb26c89-a177-4b3a-9b7e-19465c73ff83