Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Oana Inel"'
Publikováno v:
Frontiers in Artificial Intelligence, Vol 4 (2021)
Online videos have become a prevalent means for people to acquire information. Videos, however, are often polarized, misleading, or contain topics on which people have different, contradictory views. In this work, we introduce natural language explan
Externí odkaz:
https://doaj.org/article/83089135082244ff8b3ed2bc1fcae8f5
Publikováno v:
ACM SIGIR Forum. 56:1-16
Explainable recommenders are systems that explain why an item is recommended, in addition to suggesting relevant items to the users of the system. Although explanations are known to be able to significantly affect a user's decision-making process, si
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e090cf4f07180d14837724baefa9222c
https://doi.org/10.1145/3582900.3582915
https://doi.org/10.1145/3582900.3582915
Autor:
Oana Inel, Lora Aroyo
Publikováno v:
Interactions. 29:78-82
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::03ff0805246173438f60aff3a6225aab
https://doi.org/10.1145/3539596
https://doi.org/10.1145/3539596
Autor:
Chris Welty, Benjamin Timmermans, Oana Inel, Lora Aroyo, Robert-Jan Sips, Anca Dumitrache, Carlos Martinez-Ortiz
Publikováno v:
Semantic Web. 12:403-421
The process of gathering ground truth data through human annotation is a major bottleneck in the use of information extraction methods for populating the Semantic Web. Crowdsourcing-based approaches are gaining popularity in the attempt to solve the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c8e8c06a608101d6c50db46fb47f0a42
https://doi.org/10.3233/sw-200415
https://doi.org/10.3233/sw-200415
The localization quality of automatic object detectors is typically evaluated by the Intersection over Union (IoU) score. In this work, we show that humans have a different view on localization quality. To evaluate this, we conduct a survey with more
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0576cdec131719034168b54ac84e3d0c
https://doi.org/10.1109/icip46576.2022.9898043
https://doi.org/10.1109/icip46576.2022.9898043
Autor:
Cataldo Musto, Amra Delic, Oana Inel, Marco Polignano, Amon Rapp, Giovanni Semeraro, Jürgen Ziegler
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a40dcbe56f3361cad3b1ceac9a67ba23
https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&origin=inward&scp=85135146310
https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&origin=inward&scp=85135146310
Publikováno v:
Human Computation. 6:1-11
Crowdsourcing and other human computation techniques have proven useful in collecting large numbers of annotations for various datasets. In the majority of cases, online platforms are used when running crowdsourcing campaigns. Local crowdsourcing is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81127c9001e7a5b72d7a92d6f45688e0
https://doi.org/10.15346/hc.v6i1.100
https://doi.org/10.15346/hc.v6i1.100
Publikováno v:
FAccT
FAccT 2021-Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency
FAccT '21: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, 478-488
STARTPAGE=478;ENDPAGE=488;TITLE=FAccT '21: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency
FAccT 2021-Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency
FAccT '21: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, 478-488
STARTPAGE=478;ENDPAGE=488;TITLE=FAccT '21: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency
Diversity in personalized news recommender systems is often defined as dissimilarity, and based on topic diversity (e.g., corona versus farmers strike). Diversity in news media, however, is understood as multiperspectivity (e.g., different opinions o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::91f32256f9dc7fc847badf799d2321bd
http://arxiv.org/abs/2101.06141
http://arxiv.org/abs/2101.06141
Publikováno v:
Proceedings of the Perspectives on the Evaluation of Recommender Systems Workshop (PERSPECTIVES 2021)
Scopus-Elsevier
Scopus-Elsevier
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::306e811547255a5de73d47f3f80ac94c
https://cris.maastrichtuniversity.nl/en/publications/f73b409b-e036-4b88-98c0-9027fdd263aa
https://cris.maastrichtuniversity.nl/en/publications/f73b409b-e036-4b88-98c0-9027fdd263aa
Publikováno v:
UMAP 2021-Adjunct Publication of the 29th ACM Conference on User Modeling, Adaptation and Personalization
UMAP (Adjunct Publication)
UMAP (Adjunct Publication)
Adaptive and personalized systems have become pervasive technologies that are gradually playing an increasingly important role in our daily lives. Indeed, we are now used to interact every day with algorithms that help us in several scenarios, rangin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::632f303ea4aa41731fbc723778506745
http://resolver.tudelft.nl/uuid:e92fb8b5-fd4f-4b41-83ff-8856954d63c3
http://resolver.tudelft.nl/uuid:e92fb8b5-fd4f-4b41-83ff-8856954d63c3