Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Kamel Chelghoum"'
Publikováno v:
Advances in Intelligent Data Analysis XIX ISBN: 9783030742508
IDA
IDA
Deep learning models such as Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) models have recently emerged as effective solutions to various NLP tasks with comparatively remarkable results. The CNN model efficiently extracts highe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f02fd0c2ce2dc4af107dde0ef8b4e96
https://doi.org/10.1007/978-3-030-74251-5_5
https://doi.org/10.1007/978-3-030-74251-5_5
Publikováno v:
Information Sciences. 424:204-223
Nowadays, social network analysis attracts more interest from the scientific community. However, it becomes trickier to analyse the generated data by the social networks due to their complexity, which hides the underlying patterns. In this work we pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c87af7a59aea7121c0a247b96a4856e8
https://doi.org/10.1016/j.ins.2017.09.022
https://doi.org/10.1016/j.ins.2017.09.022
Publikováno v:
IDAACS
Most existing continuous word representation learning algorithms usually only capture the syntactic information in the texts while ignoring the sentiment relations between words. These represenations are not sufficiently effective for sentiment analy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::904515f0c4a1defa93744fd12ce7d22d
https://doi.org/10.1109/idaacs.2019.8924403
https://doi.org/10.1109/idaacs.2019.8924403
Publikováno v:
Réseaux
Réseaux, La Découverte, 2017, 5 (205), pp.91-116. ⟨10.3917/res.205.0091⟩
Réseaux, La Découverte, 2017, 5 (205), pp.91-116. ⟨10.3917/res.205.0091⟩
By enabling users to freely share news content from their newsfeed or from news websites, Twitter contributes to reconfiguring the balance of the content offered. This study on the sharing of French journalistic articles has enabled the authors to ch
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09a03152202e99fd0a37a8c24701cc82
https://hal.univ-lorraine.fr/hal-01723704
https://hal.univ-lorraine.fr/hal-01723704
Publikováno v:
CoDIT
Diffusion action is a key behavior of users in online social networks. This action may further propagate to other connections of the users and affect their actions. Recent research has focused on studying the diffusion action of users, particularly,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60aeab4cd3370aa4c2f1ceb2ad442b97
https://doi.org/10.1109/codit.2016.7593657
https://doi.org/10.1109/codit.2016.7593657
Publikováno v:
Data Mining and Big Data ISBN: 9783319409726
DMBD
DMBD
Understanding the semantic behind relational data is very challenging, especially, when it is tricky to provide efficient analysis at scale. Furthermore, the complexity is also driven by the dynamical nature of data. Indeed, the analysis given at a s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b25e2139c66dce68f5babd40de7ff4ee
https://hal.univ-lorraine.fr/hal-01785938
https://hal.univ-lorraine.fr/hal-01785938
Publikováno v:
Swarm Intelligence Based Optimization ISBN: 9783319503066
ICSIBO
ICSIBO
The community detection play an important role in understanding the information underlying to the graph structure, especially, when the graph structure or the weights between the linked entities change over time. In this paper, we propose an algorith
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::84e34a5f2776f521fba27d5e8bd3ddfa
https://hal.univ-lorraine.fr/hal-01785932
https://hal.univ-lorraine.fr/hal-01785932
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319444024
DEXA (1)
DEXA (1)
We tackle the problem of predicting information diffusion in social networks. In this problem, we are given social data and would like to infer the diffusion process in the near future. Although this problem has been extensively studied, the challeng
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d17b9f0868560a1c1a7a37f2f39c172c
https://hal.univ-lorraine.fr/hal-01785924
https://hal.univ-lorraine.fr/hal-01785924
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540235965
ACRI
ACRI
In this paper, we deal with new environment to visualise and to interact with cellular automata implemented in a grid of the hyperbolic plane. We use two kinds of tiling: the ternary heptagrid and the rectangular pentagrid. We show that both grids ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::256151413d4e0e1b28d3beea9e67a9f5
https://doi.org/10.1007/978-3-540-30479-1_70
https://doi.org/10.1007/978-3-540-30479-1_70
Publikováno v:
IHM
Manipulations and exploration of large data sets are common problems. This paper aims at adapting a fisheye technique that uses hyperbolic geometry. Unlike the classical approach, the hyperbolic space used in our research is tiled. The tiling method
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ee6fcd3c7cfd26ed5c32031982217ba
https://doi.org/10.1145/1148613.1148645
https://doi.org/10.1145/1148613.1148645