Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Jeroen Ooge"'
Publikováno v:
Agriculture, Vol 12, Iss 7, p 1027 (2022)
Decision support systems (DSSs) in agriculture are becoming increasingly popular, and have begun adopting visualisations to facilitate insights into complex data. However, DSSs for agriculture are often designed as standalone applications, which limi
Externí odkaz:
https://doaj.org/article/19d8a8df9c6a45be95b92351fed22331
Autor:
Jeroen Ooge, Katrien Verbert
Publikováno v:
Agriculture, Vol 12, Iss 7, p 1024 (2022)
The rise of ‘big data’ in agrifood has increased the need for decision support systems that harvest the power of artificial intelligence. While many such systems have been proposed, their uptake is limited, for example because they often lack unc
Externí odkaz:
https://doaj.org/article/f2faaaafa6914159a3dc9a54f2b4b4ab
Publikováno v:
Proceedings of the 28th International Conference on Intelligent User Interfaces.
Explainable artificial intelligence is increasingly used in machine learning (ML) based decision-making systems in healthcare. However, little research has compared the utility of different explanation methods in guiding healthcare experts for patien
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e50ba0fd54f4199f1930e52e160f260b
https://doi.org/10.1145/3581641.3584075
https://doi.org/10.1145/3581641.3584075
Researchers have widely acknowledged the potential of control mechanisms with which end-users of recommender systems can better tailor recommendations. However, few e-learning environments so far incorporate such mechanisms, for example for steering
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a9c59681306bd9aa59f122d844526724
http://arxiv.org/abs/2303.00098
http://arxiv.org/abs/2303.00098
Publikováno v:
Agriculture; Volume 12; Issue 7; Pages: 1027
Decision support systems (DSSs) in agriculture are becoming increasingly popular, and have begun adopting visualisations to facilitate insights into complex data. However, DSSs for agriculture are often designed as standalone applications, which limi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8508bc85a4aa586aa240ef43d3337041
https://lirias.kuleuven.be/handle/20.500.12942/702130
https://lirias.kuleuven.be/handle/20.500.12942/702130
Autor:
Lucija, Gosak, Janja, Kamenšek, Jeroen, Ooge, Primož, Kocbek, Nika, Debeljak, Nino, Fijačko, Katrien, Verbert, Gregor, Štiglic
Publikováno v:
Central European Conference on Information & Intelligent Systems; 2023, p57-66, 10p
Autor:
Jeroen Ooge, Katrien Verbert
Publikováno v:
27th International Conference on Intelligent User Interfaces.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee61fad201e3e2877f819258fa571617
https://doi.org/10.1145/3490100.3516481
https://doi.org/10.1145/3490100.3516481
Publikováno v:
WIREs Data Mining and Knowledge Discovery. 12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92bb96add179f88729c80f42eec76bfd
https://doi.org/10.1002/widm.1427
https://doi.org/10.1002/widm.1427
Autor:
Katrien Verbert, Jeroen Ooge
People's trust in prediction models can be affected by many factors, including domain expertise like knowledge about the application domain and experience with predictive modelling. However, to what extent and why domain expertise impacts people's tr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8681216d405c9480f3b6c257a0e411a4
http://arxiv.org/abs/2109.08183
http://arxiv.org/abs/2109.08183
Autor:
Lucija Gosak, Nino Fijačko, Jeroen Ooge, Janja Kamenšek, Nika Debeljak, Katrien Verbert, Gregor Štiglic
BACKGROUND Type 2 Diabetes Mellitus (T2DM) is a common cause of mortality worldwide: each year, the chronic disease kills over one million people, making it the ninth leading cause of death. The growing use of smartphone applications (apps) led to fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8ff03f253c8891e6bcfae8e5091231b
https://doi.org/10.2196/preprints.32207
https://doi.org/10.2196/preprints.32207