Zobrazeno 1 - 10
of 274
pro vyhledávání: '"Carles Sierra"'
Publikováno v:
Applied Sciences, Vol 12, Iss 5, p 2368 (2022)
Probabilistic models of competence assessment join the benefits of automation with human judgment. We start this paper by replicating two preexisting probabilistic models of peer assessment (PG1-bias and PAAS). Despite the use that both make of proba
Externí odkaz:
https://doaj.org/article/33bfee2af29f46f5b7a9d7709632340b
Autor:
Marta Poblet, Carles Sierra
Publikováno v:
International Journal of the Commons, Vol 14, Iss 1 (2020)
Online communities contribute to weave the social fabric of the Internet. Practices, norms, and governance arrangements emerge out of individual behaviours and interactions. This paper analyses the case of computer-mediated communities of mutual help
Externí odkaz:
https://doaj.org/article/c17f3f1412544d63a41ff6d92f5171a1
Autor:
Pandelis Perakakis, Agnes Ponsati, Isabel Bernal, Carles Sierra, Nardine Osman, Concha Mosquera-de-Arancibia, Emilio Lorenzo
Publikováno v:
Code4Lib Journal, Iss 35 (2017)
The peer review system is the norm for many publications. It involves an editor and several experts in the field providing comments for a submitted article. The reviewer remains anonymous to the author, with only the editor knowing the reviewer´s id
Externí odkaz:
https://doaj.org/article/ec17bbe504c94619a31ee669b0c5d752
The advancement of technologies for autonomous vehicles (AVs) provides great potential for intelligent traffic control and management in the future. The deployment of Vehicle-to-Vehicle (V2V), Vehicle-to-Infrastructure (V2I) and Vehicle-to-Everything
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::033ef770e157ac3981c3e97bd370f674
https://doi.org/10.21203/rs.3.rs-2895881/v1
https://doi.org/10.21203/rs.3.rs-2895881/v1
Publikováno v:
Human-Centered Artificial Intelligence
Chetouani, M.; Dignum, V.; Lukowicz, P.; Sierra, C. Human-Centered Artificial Intelligence, 13500, Springer International Publishing, pp.3-7, 2023, Lecture Notes in Computer Science, ⟨10.1007/978-3-031-24349-3_1⟩
Human-Centered Artificial Intelligence ISBN: 9783031243486
Chetouani, M.; Dignum, V.; Lukowicz, P.; Sierra, C. Human-Centered Artificial Intelligence, 13500, Springer International Publishing, pp.3-7, 2023, Lecture Notes in Computer Science, ⟨10.1007/978-3-031-24349-3_1⟩
Human-Centered Artificial Intelligence ISBN: 9783031243486
International audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::090aaa108d89bd2e7009e37ae1bbaaa2
https://hal.science/hal-04060809
https://hal.science/hal-04060809
Publikováno v:
PRIMA 2022: Principles and Practice of Multi-Agent Systems ISBN: 9783031212024
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9ec2bcf2d7c0919459279867c925caa
https://doi.org/10.1007/978-3-031-21203-1_13
https://doi.org/10.1007/978-3-031-21203-1_13
Publikováno v:
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence.
Policies that seek to mitigate poverty by acting on equal opportunity have been found to aggravate discrimination against the poor (aporophobia), since individuals are made responsible for not progressing in the social hierarchy. Only a minority of t
Publikováno v:
Multi-Agent Systems ISBN: 9783031206139
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d068a0e29e45cb2d0ca2c8bca90fa5e
https://doi.org/10.1007/978-3-031-20614-6_17
https://doi.org/10.1007/978-3-031-20614-6_17
Publikováno v:
Multi-Agent Systems ISBN: 9783031206139
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7e0af04c4c165e37617dfa8ed92d61d
https://doi.org/10.1007/978-3-031-20614-6_9
https://doi.org/10.1007/978-3-031-20614-6_9
Publikováno v:
Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization, 192-199
STARTPAGE=192;ENDPAGE=199;TITLE=Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization
UMAP2022-Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization, 192-199
STARTPAGE=192;ENDPAGE=199;TITLE=UMAP2022-Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization
UMAP2022-Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization
STARTPAGE=192;ENDPAGE=199;TITLE=Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization
UMAP2022-Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization, 192-199
STARTPAGE=192;ENDPAGE=199;TITLE=UMAP2022-Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization
UMAP2022-Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization
Online debates allow for large-scale participation by users with different opinions, values, and backgrounds. While this is beneficial for democratic discourse, such debates often tend to be cognitively demanding due to the high quantity and low qual
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3cb481fd5635953a4bafe86f60bb73ae
https://doi.org/10.1145/3511047.3537692
https://doi.org/10.1145/3511047.3537692