Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Amin, Mantrach"'
Autor:
Thomas Risse, Elena Demidova, Stefan Dietze, Wim Peters, Nikolaos Papailiou, Katerina Doka, Yannis Stavrakas, Vassilis Plachouras, Pierre Senellart, Florent Carpentier, Amin Mantrach, Bogdan Cautis, Patrick Siehndel, Dimitris Spiliotopoulos
Publikováno v:
Future Internet, Vol 6, Iss 4, Pp 688-716 (2014)
The constantly growing amount ofWeb content and the success of the SocialWeb lead to increasing needs for Web archiving. These needs go beyond the pure preservationo of Web pages. Web archives are turning into “community memories” that aim at bui
Externí odkaz:
https://doaj.org/article/fa454bb181df4ff5939c5e7c57686b36
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 33:1722-1736
Predicting the click-through rate of an advertisement is a critical component of online advertising platforms. In sponsored search, the click-through rate estimates the probability that a displayed advertisement is clicked by a user after she submits
We consider unsupervised domain adaptation (UDA) for classification problems in the presence of missing data in the unlabelled target domain. More precisely, motivated by practical applications, we analyze situations where distribution shift exists b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c94c16fff84ee6de0aa9ea3f000692aa
http://arxiv.org/abs/2109.09505
http://arxiv.org/abs/2109.09505
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030524845
BIAS
BIAS
Content personalization is a long-standing problem for online news services. In most personalization approaches users are represented by topical interest profiles that are matched with news articles in order to properly decide which articles are to b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31fa2655aa28c9f8cacd31c2f3a500c9
https://doi.org/10.1007/978-3-030-52485-2_14
https://doi.org/10.1007/978-3-030-52485-2_14
Publikováno v:
Information Sciences. :125-137
Content personalization is a long-standing problem for online news services. In most personalization approaches users of a news service are represented by topical interest profiles that are matched with news articles in order to properly decide which
Autor:
Fabrizio Silvestri, Amin Mantrach
Publikováno v:
WWW
Over the past three years, platforms, governments and a plethora of nonprofit initiatives have prioritized fighting online misinformation through a variety of different means. Yet the current framework is too fragmented to deliver global results. The
Publikováno v:
Multilingual Text Analysis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d0ecaae83a3e25dc0722e0590a5df9f
https://doi.org/10.1142/9789813274884_0007
https://doi.org/10.1142/9789813274884_0007
Publikováno v:
Neural Networks
Neural Networks, Elsevier, 2017, 90, pp.90-111. ⟨10.1016/j.neunet.2017.03.010⟩
Neural Networks, Vol. 90, p. 90-111 (2017)
Neural Networks, Elsevier, 2017, 90, pp.90-111. ⟨10.1016/j.neunet.2017.03.010⟩
Neural Networks, Vol. 90, p. 90-111 (2017)
This work develops a generic framework, called the bag-of-paths (BoP), for link and network data analysis. The central idea is to assign a probability distribution on the set of all paths in a network. More precisely, a Gibbs-Boltzmann distribution i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::39be08f7518f6daf79d93090d33cd76e
https://hal.archives-ouvertes.fr/hal-01583972/file/francoissekivimakietal2017bag-of-path.pdf
https://hal.archives-ouvertes.fr/hal-01583972/file/francoissekivimakietal2017bag-of-path.pdf
Autor:
Marco Saerens, Mathieu Senelle, François Fouss, Masashi Shimbo, Silvia Garcia-Diez, Amin Mantrach
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 36:1268-1274
This work introduces a novel nonparametric density index defined on graphs, the Sum-over-Forests (SoF) density index. It is based on a clear and intuitive idea: high-density regions in a graph are characterized by the fact that they contain a large a
Publikováno v:
KDD
Headlines are particularly important for online news outlets where there are many similar news stories competing for users' attention. Traditionally, journalists have followed rules-of-thumb and experience to master the art of crafting catchy headlin