Zobrazeno 1 - 7
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pro vyhledávání: '"Bayer, Vaclav"'
Akademický článek
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Autor:
Knoth, Petr, Anastasiou, Lucas, Charalampous, Aristotelis, Cancellieri, Matteo, Pearce, Samuel, Pontika, Nancy, Bayer, Vaclav
In this paper, we argue why and how the integration of recommender systems for research can enhance the functionality and user experience in repositories. We present the latest technical innovations in the CORE Recommender, which provides research ar
Externí odkaz:
http://arxiv.org/abs/1705.00578
Autor:
Reyero Lobo, Paula, Mensio, Martino, Pavon Perez, Angel, Bayer, Vaclav, Kwarteng, Joseph, Fernandez, Miriam, Daga, Enrico, Alani, Harith
Publikováno v:
Workshop Proceedings of the 16th International AAAI Conference on Web and Social Media
Obtaining reliable and quality training datasets is resource-intensive, especially in interpretation and human judgment tasks, such as racism detection. Related work reveals that annotators subjected to hate are more sensitive to labelling something
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::4498c5c4efb98a0df0dad11e8c0941d8
http://oro.open.ac.uk/83210/1/NEATCLasS_2022.pdf
http://oro.open.ac.uk/83210/1/NEATCLasS_2022.pdf
Akademický článek
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Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030782696
AIED (2)
Artificial Intelligence in Education. AIED 2021. Lecture Notes in Computer Science, vol 12749
AIED (2)
Artificial Intelligence in Education. AIED 2021. Lecture Notes in Computer Science, vol 12749
Systemic inequalities still exist within Higher Education (HE). Reports from Universities UK show a 13% degree-awarding gap for Black, Asian and Minority Ethnic (BAME) students, with similar effects found when comparing students across other protecte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::20cfa1468df851744f86655707e8b237
https://doi.org/10.1007/978-3-030-78270-2_12
https://doi.org/10.1007/978-3-030-78270-2_12
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030782696
AIED (2)
22nd International Conference on Artificial Intelligence in Education, AIED 2021
AIED (2)
22nd International Conference on Artificial Intelligence in Education, AIED 2021
In this work, we investigate the degree-awarding gap in distance higher education by studying the impact of a Predictive Learning Analytics system, when applying it to 3 STEM (Science, Technology, Engineering and Mathematics) courses with over 1,500
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61f8ee39f10fb3a346a4da38fa995331
https://doi.org/10.1007/978-3-030-78270-2_34
https://doi.org/10.1007/978-3-030-78270-2_34
Autor:
Bayer, Václav
Interest-based education and leisure time are important in every person's life and they influence the proper functioning of the whole society. In order to fulfil its functions, it is important to emphasize its quality. The aim of the Diploma Thesis T
Externí odkaz:
http://www.nusl.cz/ntk/nusl-390528