Zobrazeno 1 - 10
of 115
pro vyhledávání: '"Lakhdar Sais"'
Publikováno v:
Sensors, Vol 23, Iss 17, p 7318 (2023)
Hospitals generate a significant amount of medical data every day, which constitute a very rich database for research. Today, this database is still not exploitable because to make its valorization possible, the images require an annotation which rem
Externí odkaz:
https://doaj.org/article/bddc05a08f0d4e77b3a040d70fc263f8
Publikováno v:
2022 7th International Conference on Frontiers of Signal Processing (ICFSP).
Publikováno v:
Integration of Constraint Programming, Artificial Intelligence, and Operations Research ISBN: 9783030782290
CPAIOR
CPAIOR
Many pattern mining tasks have been modeled and solved using constraints programming (CP) and propositional satisfiability (SAT). In these two well-known declarative AI models, the problem is encoded as a constraints network or a propositional formul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5df21de41ddbaaa31621946ff8ff47de
https://doi.org/10.1007/978-3-030-78230-6_11
https://doi.org/10.1007/978-3-030-78230-6_11
Autor:
Lakhdar Sais, Badran Raddaoui, Khalid Zenkouar, Mohammed Chaouki Abounaima, Fatima-Zahra El Mazouri, Said Jabbour
Publikováno v:
Procedia Computer Science. 148:283-290
In this paper, we propose an extension of the framework proposed in [1] for breaking symmetries in association rules problems. Symmetries are defined as permutations between items that leave invariant the set of the transactions. Such kind of structu
Publikováno v:
Springer Computing
Springer Computing, Springer, In press
Computing
Computing, Springer Verlag, In press
Springer Computing, Springer, In press
Computing
Computing, Springer Verlag, In press
Communities in social networks or graphs are sets of well-connected, overlapping vertices. Network community detection is a hot research topic in social, biological and information networks analysis. The effectiveness of a community detection algorit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f116da8da80174a31cfe32f6a900d85
https://hal.archives-ouvertes.fr/hal-02506887
https://hal.archives-ouvertes.fr/hal-02506887
Publikováno v:
International Journal of Data Mining, Modelling and Management. 14:309
Publikováno v:
Procedia Computer Science. 127:481-488
Pattern discovery techniques, such as association rule discovery is one of the fundamental problem in data mining. Usually the task is limited to positive rules of the form X → Y when X and Y are susbets of items. To enlarge the knowledge discovery
Publikováno v:
International Journal of Imaging Systems and Technology. 27:281-306
The aim of this work is to develop a new model for segmentation of brain structures in medical brain MR images. Brain segmentation is a challenging task due to the complex anatomical structure of brain structures as well as intensity nonuniformity, p
Publikováno v:
Artificial Intelligence. 244:30-47
In this paper, we introduce a new problem, called Top-k SAT, that consists in enumerating the Top-k models of a propositional formula. A Top-k model is defined as a model with less than k models preferred to it with respect to a preference relation.
Publikováno v:
FUZZ-IEEE
Gradual itemsets model complex attributes covariation of the form "The more or less is A, the more or less is B". Recently, such kind of itemsets have received attention from the data mining community, where several formalizations and methods have be