Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Nyi-Nyi Htun"'
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:
Nyi‐Nyi Htun, Agnieszka Wiśniewska, Giuseppe Nocella, Elena Santa Cruz, Aniol Peracaula‐Moner, Kaisa Vehmas, Liisa Hakola, Katarzyna Liczmańska‐Kopcewicz, Lee Bridgett, Katrien Verbert
Publikováno v:
Htun, N N, Wiśniewska, A, Nocella, G, Santa Cruz, E, Peracaula-Moner, A, Vehmas, K, Hakola, L, Liczmańska-Kopcewicz, K, Bridgett, L & Verbert, K 2023, ' Smart tag packaging technologies : A qualitative investigation of consumers' needs and expectations ', Packaging Technology and Science, vol. 36, no. 7, pp. 595-613 . https://doi.org/10.1002/pts.2731
In this paper, we attempt to better understand concerns, needs and expectations of European consumers towards the use of intelligent packaging technologies as this topic appears to need further investigation from a marketing point of view. Thus, this
Autor:
Luciana Monteiro-Krebs, Bieke Zaman, Sonia Elisa Caregnato, David Geerts, Vicente Grassi-Filho, Nyi-Nyi Htun
Publikováno v:
Online Information Review. 46:993-1013
PurposeThe use of recommender systems is increasing on academic social media (ASM). However, distinguishing the elements that may be influenced and/or exert influence over content that is read and disseminated by researchers is difficult due to the o
Systems involving artificial intelligence (AI) are protagonists in many everyday activities. Moreover, designers are increasingly implementing these systems for groups of users in various social and cooperative domains. Unfortunately, research on per
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2156b60e342425a58ff034c08de0d89a
https://lirias.kuleuven.be/handle/20.500.12942/687653
https://lirias.kuleuven.be/handle/20.500.12942/687653
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
Publikováno v:
27th International Conference on Intelligent User Interfaces.
Recommender systems are increasingly used in high-risk application domains, including healthcare. It has been shown that explanations are crucial in this context to support decision-making. This paper explores how to explain call recommendations to n
Autor:
Robin De Croon, Leen Van Houdt, Nyi Nyi Htun, Gregor Štiglic, Vero Vanden Abeele, Katrien Verbert
Publikováno v:
Journal of Medical Internet Research
Journal of Medical Internet Research, Vol 23, Iss 6, p e18035 (2021)
Journal of Medical Internet Research, Vol 23, Iss 6, p e18035 (2021)
Background Health recommender systems (HRSs) offer the potential to motivate and engage users to change their behavior by sharing better choices and actionable knowledge based on observed user behavior. Objective We aim to review HRSs targeting nonme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e7d069daabc373815106c21a78f9dab8
https://lirias.kuleuven.be/handle/123456789/681089
https://lirias.kuleuven.be/handle/123456789/681089
Publikováno v:
IUI
Fairness is an important aspect in group recommender systems (GRSs). They must ensure that potentially diverse preferences of all group members are taken into consideration when providing recommendations. Previous work has proposed a number of confli
Decision support systems have become increasingly popular in the domain of agriculture. With the development of automated machine learning, agricultural experts are now able to train, evaluate and make predictions using cutting edge machine learning
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ce7184d6eed9ea9a06e0e16e83105b3
Publikováno v:
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783030774165
Academic social networking sites (ASNSs) are increasingly using recommender systems to deliver relevant content to their users. Meanwhile, the profound opacity of the algorithms that filter information makes it difficult to distinguish among the elem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f3a77b164800631064fbe6f334e1c2e
https://doi.org/10.1007/978-3-030-77417-2_1
https://doi.org/10.1007/978-3-030-77417-2_1