Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Siwar Jendoubi"'
Publikováno v:
Array, Vol 19, Iss , Pp 100319- (2023)
Semi-supervised clustering is a machine learning technique that was introduced to boost clustering performance when labeled data is available. Indeed, some labeled data are usually available in real use cases, and can be used to initialize the cluste
Externí odkaz:
https://doaj.org/article/37958541499b4ceb871c70dd067b2559
Autor:
Siwar Jendoubi, Aurélien Baelde
Publikováno v:
Information Processing and Management of Uncertainty in Knowledge-Based Systems ISBN: 9783031089732
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b9ea556eee3968f0e573f3a8b26bd42
https://doi.org/10.1007/978-3-031-08974-9_58
https://doi.org/10.1007/978-3-031-08974-9_58
Autor:
Siwar Jendoubi, Arnaud Martin
Publikováno v:
Knowledge and Information Systems (KAIS)
Knowledge and Information Systems (KAIS), 2020, 62, pp.1037-1062. ⟨10.1007/s10115-019-01375-w⟩
Knowledge and Information Systems (KAIS), Springer, 2020, 62, pp.1037-1062. ⟨10.1007/s10115-019-01375-w⟩
Knowledge and Information Systems (KAIS), 2020, 62, pp.1037-1062. ⟨10.1007/s10115-019-01375-w⟩
Knowledge and Information Systems (KAIS), Springer, 2020, 62, pp.1037-1062. ⟨10.1007/s10115-019-01375-w⟩
The Viral Marketing is a relatively new form of marketing that exploits social networks to promote a brand, a product, etc. The idea behind it is to find a set of influencers on the network that can trigger a large cascade of propagation and adoption
Publikováno v:
Expert Systems with Applications
Expert Systems with Applications, Elsevier, 2020, 146, pp.113154. ⟨10.1016/j.eswa.2019.113154⟩
Expert Systems with Applications, Elsevier, 2020, 146, pp.113154. ⟨10.1016/j.eswa.2019.113154⟩
The contribution of this paper is twofold. First, this paper aims at developing an intelligent system that emulates the decision-making ability of a botanist expert in the recognition of tree species from their leaves and bark. The main challenges of
Publikováno v:
Belief Functions: Theory and Applications ISBN: 9783319993829
BELIEF
BELIEF
Detecting independent users in online social networks is an interesting research issue. In fact, independent users cannot generally be influenced, they are independent in their choices and decisions. Independent users may attract other users and make
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::767743d9d7074ea3e1b47beeeb1bdf78
https://doi.org/10.1007/978-3-319-99383-6_16
https://doi.org/10.1007/978-3-319-99383-6_16
Publikováno v:
Belief Functions: Theory and Applications ISBN: 9783319993829
BELIEF
BELIEF
The task of tree species recognition is to recognize the tree species using photos of their leaves and barks. In this paper, we propose an evidential k-nearest neighbors (k-NN) combination rule. The proposed rule is adapted to classification problems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5111a799762f5fa944df125788cafa59
https://doi.org/10.1007/978-3-319-99383-6_17
https://doi.org/10.1007/978-3-319-99383-6_17
Autor:
Arnaud Martin, Siwar Jendoubi
Publikováno v:
19th International Conference on Big Data Analytics and Knowledge Discovery-DaWaK 2017
19th International Conference on Big Data Analytics and Knowledge Discovery-DaWaK 2017, Aug 2017, Lyon, France
Big Data Analytics and Knowledge Discovery ISBN: 9783319642826
DaWaK
19th International Conference on Big Data Analytics and Knowledge Discovery-DaWaK 2017, Aug 2017, Lyon, France
Big Data Analytics and Knowledge Discovery ISBN: 9783319642826
DaWaK
The influence maximization is the problem of finding a set of social network users, called influencers, that can trigger a large cascade of propagation. Influencers are very beneficial to make a marketing campaign goes viral through social networks f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::133e91c806fe2fdce06737efc28ad5bc
https://hal.archives-ouvertes.fr/hal-01551780
https://hal.archives-ouvertes.fr/hal-01551780
Publikováno v:
Knowledge-Based Systems
Knowledge-Based Systems, Elsevier, 2017, ⟨10.1016/j.knosys.2017.01.014⟩
Knowledge-Based Systems, 2017, ⟨10.1016/j.knosys.2017.01.014⟩
Knowledge-Based Systems, Elsevier, 2017, ⟨10.1016/j.knosys.2017.01.014⟩
Knowledge-Based Systems, 2017, ⟨10.1016/j.knosys.2017.01.014⟩
Influence maximization is the problem of selecting a set of influential users in the social network. Those users could adopt the product and trigger a large cascade of adoptions through the " word of mouth " effect. In this paper, we propose two evid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::75ee103df1528a27ed3205838a2d0dde
https://hal.archives-ouvertes.fr/hal-01435733/file/InfluenceMaximizationV008.pdf
https://hal.archives-ouvertes.fr/hal-01435733/file/InfluenceMaximizationV008.pdf
Publikováno v:
FLINS
FLINS, Aug 2016, Roubaix, France. pp.168-174, ⟨10.1142/9789813146976_0029⟩
FLINS, Aug 2016, Roubaix, France. pp.168-174, ⟨10.1142/9789813146976_0029⟩
International audience; In this paper, we propose a new data based model for influence maximization in online social networks. We use the theory of belief functions to overcome the data imperfection problem. Besides, the proposed model searches to de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1729abbc27464e54023d328a6dff4633
https://hal.science/hal-01380348
https://hal.science/hal-01380348
Publikováno v:
ECSQARU 2015
ECSQARU 2015, Jul 2015, Compiègne, France. pp.419-428, ⟨10.1007/978-3-319-20807-7_38⟩
Lecture Notes in Computer Science ISBN: 9783319208060
ECSQARU 2015, Jul 2015, Compiègne, France. pp.419-428, ⟨10.1007/978-3-319-20807-7_38⟩
Lecture Notes in Computer Science ISBN: 9783319208060
Social messages classification is a research domain that has attracted the attention of many researchers in these last years. Indeed, the social message is different from ordinary text because it has some special characteristics like its shortness. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0dc3f1266c025cd6298a3c79ecae1476
https://hal.archives-ouvertes.fr/hal-01445443
https://hal.archives-ouvertes.fr/hal-01445443