Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Arnaud Claes"'
Publikováno v:
Brussels Studies (2023)
Recommendation algorithms play an undeniable role in the access to information, and are aimed at making browsing easier for users by recommending the most "relevant" content according to a series of criteria selected by their designers. At the same t
Externí odkaz:
https://doaj.org/article/31cc98fe7da8419fa88a480138cd6c77
Publikováno v:
Brussels Studies (2023)
Recommendation algorithms play an undeniable role in the access to information, and are aimed at making browsing easier for users by recommending the most "relevant" content according to a series of criteria selected by their designers. At the same t
Externí odkaz:
https://doaj.org/article/c94c0150183241e2840e2531cf177504
Publikováno v:
Brussels Studies (2023)
Recommendation algorithms play an undeniable role in the access to information, and are aimed at making browsing easier for users by recommending the most "relevant" content according to a series of criteria selected by their designers. At the same t
Externí odkaz:
https://doaj.org/article/d03adc83d11f49bfb5d98291922bd40b
Autor:
Arnaud CLAES, Victor WIARD, Heidi MERCENIER, Thibault PHILIPPETTE, Marie DUFRASNE, Arnaud BROWET, Raphaël JUNGERS
Publikováno v:
Tic & Société, Vol 15, Pp 127-157 (2021)
In order to respond to the proliferation of online media content, many platforms now use recommendation algorithms to structure and prioritize information flows. These technologies are criticized for the importance they attach to immediate user satis
Externí odkaz:
https://doaj.org/article/d28622ba8b894ec4b0314b05280859ff
Publikováno v:
Journal of Agricultural and Food Chemistry. 68:11568-11577
The reactivity of hexanal, (E)-hex-2-enal, 4-hydroxyhex-2-enal, and 4-hydroxynon-2-enal in oil-in-water emulsions and their respective compartments, in the presence and absence of protein, was studied at 40 °C. In aqueous buffer, hexanal oxidized to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d68cb3820be59b6616ece08173b6251
https://doi.org/10.1021/acs.jafc.0c04060
https://doi.org/10.1021/acs.jafc.0c04060
Publikováno v:
Journal of agricultural and food chemistry. 68(41)
The reactivity of hexanal, (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::4d9a99f1b4d240aef5a09d1e7639bdcf
https://pubmed.ncbi.nlm.nih.gov/32924473
https://pubmed.ncbi.nlm.nih.gov/32924473
Autor:
Arnaud Claes, Thibault Philippette
Publikováno v:
Journal of Media Literacy Education, Vol. 12, no. 3, p. 17-29 (2020)
The digital processing of massive data is becoming a central component of our technological infrastructures. While being able to use these tools efficiently is an issue that cannot be ignored, it appears crucial to provide citizens with the means to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33a2a3ca7d97cd6fb914fe1c1a1d29a1
https://hdl.handle.net/2078.1/227753
https://hdl.handle.net/2078.1/227753
Autor:
Thibault Philippette, Raphaël M. Jungers, Victor Wiard, Marie Dufrasne, Arnaud Browet, Arnaud Claes, Heidi Mercenier
Publikováno v:
tic & société, (2020)
Tic & Société, Vol 15, Pp 127-157 (2021)
Tic & Société, Vol 15, Pp 127-157 (2021)
Pour répondre à la démultiplication de contenus médiatiques accessibles en ligne, de nombreuses plateformes ont aujourd’hui recours à des algorithmes de recommandation pour structurer et hiérarchiser les flux d’information. Ces dispositifs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a4794e383d3417580a0b714dff0b2d05
https://hdl.handle.net/2078/222544
https://hdl.handle.net/2078/222544
Publikováno v:
DIAL
Research projects presentation at Carleton University (Ottawa)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::cdced529064402e1e15f216516ce5161
http://hdl.handle.net/2078.1/216486
http://hdl.handle.net/2078.1/216486
Publikováno v:
DIAL
The availability of large amounts and various types of data combined with recent advances in machine learning are increasingly used as a basis for automated decision-making to address complex problems in numerous contexts. In the media field, we obse
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::b351ea9601b38541f307d02fec9a2fa8
http://hdl.handle.net/2078/266095
http://hdl.handle.net/2078/266095