Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Visara Urovi"'
Autor:
Visara Urovi, Remzi Celebi, Chang Sun, Parveen Kumar, Linda Rieswijk, Michael Erard, Arif Yilmaz, Kody Moodley, Michel Dumontier
Publikováno v:
Journal of Responsible Innovation, Vol 11, Iss 1, Pp 1-32 (2024)
Data-science is an interdisciplinary research working on data from different fields. When analyzing these data, data scientists implicitly agree to follow the rules governing these fields. However, the responsibilities of the involved actors are not
Externí odkaz:
https://doaj.org/article/f155e49905384568bd55288fffd6a258
Publikováno v:
Blockchain: Research and Applications, Vol 3, Iss 4, Pp 100102- (2022)
Easy access to data is one of the main avenues to accelerate scientific research. As a key element of scientific innovations, data sharing allows the reproduction of results and helps prevent data fabrication, falsification, and misuse. Although the
Externí odkaz:
https://doaj.org/article/1f921a79d84947c2acabd9257a465f8d
Autor:
Fadila Zerka, Visara Urovi, Akshayaa Vaidyanathan, Samir Barakat, Ralph T. H. Leijenaar, Sean Walsh, Hanif Gabrani-Juma, Benjamin Miraglio, Henry C. Woodruff, Michel Dumontier, Philippe Lambin
Publikováno v:
IEEE Access, Vol 8, Pp 183939-183951 (2020)
The utility of Artificial Intelligence (AI) in healthcare strongly depends upon the quality of the data used to build models, and the confidence in the predictions they generate. Access to sufficient amounts of high-quality data to build accurate and
Externí odkaz:
https://doaj.org/article/bd9eafb901ee41499099b796becab221
Autor:
Vikas Jaiman, Visara Urovi
Publikováno v:
IEEE Access, Vol 8, Pp 143734-143745 (2020)
In modern healthcare systems, the ability to share electronic health records is crucial for providing quality care and for enabling a larger spectrum of health services. Health data sharing is dependent on obtaining individual consent which, in turn,
Externí odkaz:
https://doaj.org/article/a04034e16f9b4abb8e4b7d8bd2b7eb2d
Publikováno v:
Internet Policy Review, Vol Volume 11, Iss Issue 1 (2022)
Web monetisation is the conversion of user traffic into revenue. Initially referring to websites, in more recent years, the meaning of the term has been expanded to refer to non-website traffic, such as social media applications, which this glossary
Externí odkaz:
https://doaj.org/article/89fdf8e330b8468a84982eacf7613662
Publikováno v:
PLoS ONE, Vol 17, Iss 4 (2022)
Data sharing is very important for accelerating scientific research, business innovations, and for informing individuals. Yet, concerns over data privacy, cost, and lack of secure data-sharing solutions have prevented data owners from sharing data. T
Externí odkaz:
https://doaj.org/article/2564ee2822774ee0a77abe8e56408483
Autor:
Vikas Jaiman, Alfa Yohannis, Pietro Piccini, Enrique Barrueco Mikelarena, Bogdan Covrig, Catalina Goanta, Visara Urovi
Publikováno v:
4th Conference on Blockchain, Robotics and AI for Networking Security Conference (BRAINS), 4, 25-32
Today, content creators or influencers around the world are heavily reliant on digital platforms to mediate their revenue. Moreover, they use online platforms to gather funds for social causes through philanthropic campaigns. However, this raises con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::245fcfcd6c875d4b1328fe531ec6018f
https://doi.org/10.1109/BRAINS55737.2022.9909272
https://doi.org/10.1109/BRAINS55737.2022.9909272
Publikováno v:
Bromuri, S, Henkel, A P, Iren, D & Urovi, V 2021, ' Using AI to predict service agent stress from emotion patterns in service interactions ', Journal of Service Management, vol. 32, no. 4, pp. 581-611 . https://doi.org/10.1108/josm-06-2019-0163
Journal of Service Management, 32(4), 581-611. Emerald Group Publishing Ltd.
Journal of Service Management, 32(4), 581-611. Emerald Group Publishing Ltd.
PurposeA vast body of literature has documented the negative consequences of stress on employee performance and well-being. These deleterious effects are particularly pronounced for service agents who need to constantly endure and manage customer emo
Half human, half machine – augmenting service employees with AI for interpersonal emotion regulation
Publikováno v:
Journal of Service Management, 31(2), 247-265. Emerald Group Publishing Ltd.
Henkel, A P, Bromuri, S, Iren, Y D & Urovi, V 2020, ' Half human, half machine : augmenting service employees with AI for interpersonal emotion regulation ', Journal of Service Management, vol. 31, no. 2, pp. 247-265 . https://doi.org/10.1108/JOSM-05-2019-0160
Henkel, A P, Bromuri, S, Iren, Y D & Urovi, V 2020, ' Half human, half machine : augmenting service employees with AI for interpersonal emotion regulation ', Journal of Service Management, vol. 31, no. 2, pp. 247-265 . https://doi.org/10.1108/JOSM-05-2019-0160
PurposeWith the advent of increasingly sophisticated AI, the nature of work in the service frontline is changing. The next frontier is to go beyond replacing routine tasks and augmenting service employees with AI. The purpose of this paper is to inve
Autor:
Henry C. Woodruff, Fadila Zerka, Hanif Gabrani-Juma, Akshayaa Vaidyanathan, Michel Dumontier, Visara Urovi, Philippe Lambin, Benjamin Miraglio, Ralph T.H. Leijenaar, Sean Walsh, Samir Barakat
Publikováno v:
IEEE Access, 8, 183939-183951. IEEE
IEEE Access, Vol 8, Pp 183939-183951 (2020)
IEEE Access, Vol 8, Pp 183939-183951 (2020)
The utility of Artificial Intelligence (AI) in healthcare strongly depends upon the quality of the data used to build models, and the confidence in the predictions they generate. Access to sufficient amounts of high-quality data to build accurate and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6026fda5d0f7761ea46f78f0d6189435
https://cris.maastrichtuniversity.nl/en/publications/db50bfaf-6cd2-476d-a7da-6ec3c7617c82
https://cris.maastrichtuniversity.nl/en/publications/db50bfaf-6cd2-476d-a7da-6ec3c7617c82